Managerial practices and coach satisfaction: A summer camp recreation and athletics case study 

Author: Jimmy Smith1

1Department of Kinesiology and Sport Management, Gonzaga University, Spokane, WA, USA

 

Editor’s Note: This article uses the pseudonym Camp Mid-East. While the dates of the study and camp name are withheld, The Sport Journal has verified the identity of the author and confirmed the camp’s existence through a virtual meeting. This note serves to assure readers that reasonable steps have been taken to confirm the legitimacy of the content presented.

Corresponding Author: 

Jimmy Smith, Ph.D.

Gonzaga University

502 E. Boone Ave

Spokane, WA 99258

[email protected]

509-313-3483

Jimmy Smith, Ph. D., is an Associate Professor of Sport Management at Gonzaga University in Spokane, WA. His research interests include organizational behavior.

ABSTRACT 

This case study examines how specific managerial practices influenced coaching staff satisfaction at Camp Mid-East, a residential summer camp in the United States. In response to persistent challenges related to staff retention and satisfaction, the camp implemented a mission statement, operational guidelines, and structured communication strategies within its athletic and recreation department. Using a pre- and post-camp survey design, the study measured changes in coach perceptions across four domains: communication, operational clarity, mission alignment, and overall satisfaction. Descriptive statistics and Wilcoxon Matched-Pairs Signed-Rank Tests were used to analyze the data. Results indicated improvements in communication practices, with more variable outcomes related to mission clarity and satisfaction. These findings contribute to the growing body of research on organizational support in recreational settings and offer practical insights for camp administrators seeking to improve staff engagement, reduce burnout, and enhance the overall staff experience through intentional leadership practices.

KEYWORDS: coach satisfaction, managerial practices, outdoor recreation, staff retention, summer camp

INTRODUCTION 

Organized camping has been a notable facet of American culture since its inception in 1861, gaining widespread appeal among diverse demographics (2, 49). The American Camp Association (ACA) reports significant growth in the camping industry, characterized by increased attendance and revenues, with millions of children, parents, and adults participating in various camping experiences (5). From 2017 to 2019, ACA reported a 30% increase in attendance at accredited camps, rising from 7.3 million to 10.3 million campers (2, 5). The ACA is currently partnering with the University of Michigan Economic Growth Institute, and the ACA revealed that the youth camp sector generates an annual economic impact of approximately $70 billion, underscoring the industry’s substantial influence across the United States (5).

Previous research on camping has explored various aspects of participation, including the benefits it provides, especially its ability to promote well-being through time spent in nature. Research has highlighted the psychological advantages of spending time in natural environments, including stress relief and a mental break from daily routines (13, 29). Additional scholarship has further emphasized the mental health benefits of outdoor environments, particularly as safe spaces that foster emotional resilience among youth and adults (27, 41). Additional studies have explored the satisfaction derived from activities such as cooking, teamwork, and forming bonds through shared experiences with family and peers (9, 26).

There are numerous types of camping, from day camps to residential camps, tenting, and RVing. Residential camps, or sleep-away camps and the setting for the current research, provide immersive experiences where children and adolescents, typically aged 6 to 16, reside in camp settings for extended periods during the summer, engaging in various activities (6). The success of these camps relies heavily on the efforts of camp professionals (e.g., counselors, coaches, and staff) who are committed to delivering memorable camper experiences. Each summer, thousands of dedicated staffers, counselors, and coaches work to provide the best experience possible for millions of youth campers (4). Research exploring camp staff experiences has primarily focused on factors such as job motivation (43), retention rates (45), and emotional challenges (58, 59). Some studies address the social-emotional behaviors of counselors, their interactions with campers, and the high rates of burnout and job dissatisfaction within this sector. Findings suggest that organizational support and communication are essential in mitigating burnout among seasonal camp staff (12, 20, 63). Additionally, the role of camp counselors in promoting positive youth development through sports and leadership has been emphasized (32, 35, 54, 57).

The camping industry faces current staff retention and well-being challenges, especially as camps adjust to operational shifts and staffing shortages following the COVID-19 pandemic (30, 33). A 2021 ACA report highlighted these post-pandemic challenges, noting that camps must now balance staff shortages with the increasing needs of campers in a more complex emotional and operational environment (4, 30). Despite a considerable body of research on camp experiences, there remains a gap in understanding the organizational and operational strategies that support camp counselors and coaches, particularly in how structured communication, mission statements, and operational guidelines can enhance staff satisfaction.

The current research explored implementing managerial practices to improve coach satisfaction at Camp Mid-East, a residential summer camp in the United States. By analyzing the impacts of a clear mission statement, defined operational guidelines, and strategic communication practices, the study seeks to illustrate how these elements contribute to job satisfaction among camp coaches. Literature on organizational clarity and communication strategies indicates that these interventions may positively influence employee satisfaction and retention (60). Therefore, this study posed the following broad research question: Will implementing a mission statement, operational guidelines, and structured communication within the athletic department at Camp Mid-East enhance coach satisfaction?

The structure of the manuscript is designed to clearly convey the study’s context, findings, and implications. The manuscript begins with a description of the empirical setting at Camp Mid-East to establish the study’s context. This is followed by a review of literature related to outdoor recreation, challenges faced by camp staff, and the influence of leadership and organizational practices on staff satisfaction. The methods section outlines the study design, participants, data collection, and analysis procedures. Next, the results of the pre- and post-camp surveys are presented, highlighting key findings related to communication, operational guidelines, mission alignment, and satisfaction. The discussion interprets these findings in relation to prior research and practical implications for camp leadership. Finally, the conclusion addresses limitations and offers recommendations for future research on staff satisfaction and organizational practices in residential camp settings.

EMPIRICAL SETTING

According to the ACA (2024b), there are 3,904 camps available, from day camps to overnight camps for youth, adults, and families. Overnight summer camps in the United States vary widely in size, typically hosting between 100 to over 1,000 campers. Many camps are separated by gender and operate for durations ranging from one to eight weeks, with tuition costs reaching the thousands. For example, Camp Neshoba in Maine has charged as much as $10,500 for an eight-week session, accommodating 190 campers with nearly 100 staff members. Summer overnight camps primarily offer recreational activities, including a range of sports, arts and crafts, and wilderness training.

In a youth residential camp setting, an Activity Director often oversees various programming areas, and the coaches manage activities for the children. The staff that watches over the youth at these camps are hired for dual roles as counselors and coaches based on previous experience in a sport or activity. For example, a counselor may be hired because they have experience with baseball as a collegiate player or are a fine arts major in college focusing on ceramics.

Camp management faces ongoing challenges related to communication and staff organization. Henderson et al. (2007) noted that recruiting competent and caring staff, counselors, and coaches is among the greatest challenges for camp directors. Employee retention is critical for organizational cohesion: a 2011 survey by a regional camping association found staff retention rates ranging from 25% to 75%, with an average return rate of 50% (1 as cited in 45). A 2018 ACA study further reported that 60% of camp staff intended to return for the following summer (3). Understanding the motivational tendencies of staff can aid directors in interpreting and predicting employee behaviors and overall job performance (42).

Camp Mid-East, the location for this case study, is a co-ed camp founded in 1953. At the time of data collection, this camp hosted more than 400 youth campers and offered a variety of activities with a focus on recreational programming, over an 8-week period during the summer. Campers participated in sports such as baseball, basketball, gymnastics, sailing, and soccer and non-sport activities like ceramics, robotics, cooking, and other crafts. Camp Mid-East operated under the core values of gratitude, attitude, and courage, which are defined through thankfulness, attitude as a daily choice, and courage through everyday actions. Staff, counselors, and coaches, primarily college students, complete a multi-day training program covering safety, camper profiles, and team-building.

LITERATURE REVIEW

Outdoor recreation, such as camping, has many benefits. Bultena and Klessig (1969) identified significant psychological relief from participating in recreational camping, a theme reinforced by later studies (c.f. 29). These works highlight how immersion in nature reduces stress, improves mood, and enhances well-being, which aligns with more recent research on the mental health benefits of outdoor environments (17, 52). Beyond psychological relief, camping fosters independence and resilience by requiring participants to complete tasks like cooking and cleaning while promoting social bonding and community-building, particularly in youth settings (28, 26, 48, 59). One popular form of camping, residential or sleep-away camping, offers an immersive environment where participants live together for extended periods, facilitating unique social and developmental opportunities. Camps employ staff, counselors, and coaches who play a critical role in facilitating meaningful experiences for youth participants and ensuring the successful operation of residential camps (48).

Challenges Faced by Camp Staff

Burnout of camp staff has become a critical concern for camp administration, mirroring challenges faced in coaching and other high-stress professions. Kelley (1994) explored burnout in coaches, identifying it as the result of prolonged exposure to stress, role conflicts, and emotional exhaustion. This research continues to expand to include summer camp coaches, who often face similar stressors. Camp coaches work long hours, manage the behaviors of young campers, and navigate interpersonal conflicts, all of which contribute to emotional fatigue, stress, burnout, and turnover (45, 58, 63).

As McCole et al. (2012) noted, key factors contributing to burnout are seen as important topics by the ACA. Amonett (2021) underscores the importance of creating mentally healthy environments through strategies like regular check-ins, fostering open communication about mental health, and offering proactive support to staff. For instance, recognizing early signs of burnout, such as behavioral changes or social withdrawal, allows camp administrators to intervene before these issues escalate. Moreover, Amonett (2021) advocates for a culture in which leaders share their own mental health experiences, helping to foster a supportive atmosphere where staff feel comfortable seeking assistance. This proactive approach reduces burnout, enhances staff performance, and improves the camper experience. Wahl-Alexander, Richards, and Washburn (2017) found that the physical and emotional demands placed on camp staff and inadequate organizational support significantly increased the likelihood of staff not returning after just one season.

Recent studies have highlighted ongoing challenges related to staff burnout and retention, particularly during periods of increased operational and societal stress. Camps have faced difficulties retaining experienced staff members, resulting in a greater reliance on less experienced counselors and coaches (10, 14). Edwards et al. (2013) emphasized the importance of implementing comprehensive support structures to help staff navigate these intensified demands, including effective communication systems and emotional support resources. These efforts are essential in promoting staff wellness, as fostering a healthy work environment reduces burnout and improves staff retention. Camps prioritizing their staff’s mental and emotional well-being may be better positioned to provide high-quality experiences for campers, resulting in more positive outcomes for both staff and participants.

Leadership and Managerial Practices in Camps

One of the most effective tools for aligning staff with the goals and values of an organization is the use of a mission statement. A well-crafted mission statement provides a clear sense of purpose and guides decision-making and conflict resolution (36, 53). Mission-driven leadership fosters a sense of belonging and purpose among staff, enhancing job satisfaction and performance (36, 46, 53). Braun et al. (2012) highlight that the rationales behind mission statement development, such as motivating employees and promoting shared values, are positively associated with various organizational outcomes, including staff engagement and performance. Clear communication of a mission statement enhances job satisfaction and reduces turnover rates.

Additionally, aligning mission statements with organizational structures and involving stakeholders in their development contributes to their overall effectiveness. This alignment fosters clarity of purpose among staff, thereby enhancing job satisfaction and alleviating confusion regarding roles and expectations. Furthermore, effective mission statements can serve as motivational tools, significantly influencing employee behavior and organizational commitment.

While the personal and emotional experiences of campers and staff are well-documented, fewer studies have examined the impact of managerial practices on camp operations and staff satisfaction. However, research consistently emphasizes that leadership plays a critical role in shaping the camp experience for both campers and staff. Strong leadership, effective communication, and clear operational guidelines are essential for creating a positive work environment, directly influencing staff satisfaction and retention. Leaders who engage in transparent communication foster a supportive organizational culture, improving team dynamics and encouraging staff to feel valued and motivated to stay longer (21, 31, 47). Additionally, well-structured leadership frameworks that provide autonomy, competence, and relatedness further enhance employee engagement and increase staff retention rates (43).

Camp counselors and coaches can thrive in environments where expectations are clearly defined and where they feel supported by administrative leadership. Halsall and Forneris (2018) found that organizational support is critical in reducing burnout among camp counselors. Their study revealed that when staff have access to necessary resources and open communication channels, they experience lower levels of burnout and are more likely to return for multiple camp seasons. This idea aligns with broader research, consistently highlighting the importance of leadership clarity and effective managerial practices in maintaining employee satisfaction and well-being. Tian et al. (2020) emphasized that transformational leadership, characterized by clear communication, goal setting, and a supportive environment, significantly improves employee retention by reducing burnout and enhancing job satisfaction. Similarly, Bailey et al. (2012) focused on predictors of burnout in camp staff, finding that leadership clarity and feelings of being valued and having well-defined expectations are critical factors in reducing burnout and improving staff well-being and retention.

While previous research has examined leadership, communication, and organizational support in various contexts, a gap exists in understanding how specific managerial practices affect camp staff satisfaction, particularly coaches. This study seeks to address this gap by exploring how implementing a mission statement, operational guidelines, and structured communication systems at Camp Mid-East impacts coach satisfaction. In an era of increasing challenges in retaining qualified staff, understanding the role of management practices in fostering job satisfaction is crucial. Camps that invest in clear communication, mission alignment, and operational support their position to retain staff and deliver high-quality programming to campers.

By investigating the link between managerial practices and staff satisfaction, this study contributes to the growing body of research on camp operations, offering practical insights for administrators aiming to refine their leadership strategies. Moreover, it underscores the need for camps to prioritize staff well-being and professional development as essential to operational success.

METHODS 

This current research study used a quantitative case design to explore the impact of managerial practices—specifically, the implementation of a mission statement, operational guidelines, and communication strategies—on coaching satisfaction at Camp Mid-East. Pre- and post-camp surveys assessed the effectiveness of these interventions, an approach well-suited for investigating complex, context-specific phenomena in real-life settings (62).

Research Design

A quantitative case study approach was selected to analyze how mission-driven interventions influenced coaching satisfaction. By focusing on a single camp, this design allowed for a detailed examination of the effects of the camp’s mission, guidelines, and communication on coaching satisfaction. Pre- and post-camp surveys enabled a comparative analysis, capturing changes in satisfaction over time and providing insight into the impact of these managerial strategies (19). The survey data gathered before and after the camp facilitated a matched analysis using inferential and descriptive statistics.

Data Collection

All counselors and coaches had the opportunity to participate in the study. Participants included male and female coaches aged 18–40 who could opt into or decline to participate in the survey. The study aimed to quantitatively assess coaching satisfaction across various experience levels. Given the limited sample size, the findings were intended to be context-specific to Camp Mid-East, aligning with the case study approach’s emphasis on in-depth, contextual insights (62).

A survey was developed to measure the impact of the camp’s mission, operational guidelines, and communication strategies on coaching satisfaction. The survey’s content validity was confirmed through a review by five residential camp athletic administration professionals at other camps (23, 24). Both pre-and post-camp surveys contained 16 Likert-scale questions (1 – strongly disagree to 4 – strongly agree), covering perceptions of the mission statement, operational guidelines, communication strategies, and overall satisfaction factors, such as salary (37). Participants were assigned unique identification numbers to maintain confidentiality, and only complete pre/post-camp surveys were included in the analysis.

An orientation session over two days introduced coaches to the camp’s mission, guidelines, and communication protocols. Additional weekly small group meetings throughout the camp reinforced these practices. Observations were conducted to ensure adherence to safety protocols and effective interactions between coaches and campers (50). Post-camp surveys were administered at the camp’s conclusion. All data was securely stored to ensure confidentiality (55).

Data Analysis

Descriptive statistics summarized overall trends in coaching satisfaction, focusing on items related to mission alignment, communication, and policy implementation. This analysis provided a comprehensive understanding of the changes in satisfaction and the effectiveness of the managerial interventions (39). A Wilcoxon Matched-Pairs Signed-Rank Test was used to compare pre- and post-camp survey responses, as this nonparametric test is appropriate for ordinal data from paired samples in small sample studies (22). The Wilcoxon Matched-Pairs Signed-Rank Test was chosen because it is well-suited for analyzing paired ordinal data, such as Likert-scale survey responses, without assuming a normal distribution. Given the small sample size and the use of pre- and post-surveys from the same participants, this nonparametric method provided a robust approach to detecting meaningful changes in coaching satisfaction over time.

RESULTS 

Statistical analyses evaluated coaches’ perceptions of mission statements, policies/procedures, effective communication, and compensation and administrative support satisfaction. Surveys were distributed to all 68 counselors and coaches in the study population. Of these, 65 surveys were usable for analysis, resulting in a response rate of approximately 95%. The survey assessed coaches’ and counselors’ perceptions of organizational goals, communication, policies, compensation, and overall satisfaction within the camp setting.

The survey descriptive results and statistical analyses presented in Tables 1 and 2 provide participant responses before and after camp across four core areas: Communication, Guidelines, Mission, and Satisfaction. Table 3 provides a closer look at the data that resulted in statistical significance. These findings shed light on both stable and variable aspects of participant perceptions.

Communication

As shown in Table 1, Communication items maintained high scores from pre- to post-camp. For instance, item 5 (communication) reflects the highest levels of satisfaction with minimal variability, with a pre-camp mean of 3.89 (SD = 0.31) and a post-camp mean of 3.92 (SD = 0.32). This stability suggests a broadly positive perception of camp communication practices.

In contrast, items 11 and 12 experienced declines in satisfaction, as depicted in Table 1. For item 11, the mean decreased from 2.61 to 2.25, and item 12, from 2.25 to 1.95, indicating areas where communication may not have fully met participant expectations. The increase in standard deviations for these items highlights more significant response variability, which may point to inconsistent communication experiences among participants.

Guidelines

Responses related to the camp’s guidelines displayed variability, with some items improving slightly and others showing minor declines (see Table 1), suggesting mixed responses. For example, item 2 saw a slight decrease in mean from 3.62 to 3.49, while item 4 showed an increase from 3.57 to 3.63, with a reduced standard deviation. This mixed response may suggest varying interpretations or clarity regarding guidelines among participants.

Mission

As outlined in Table 1, responses regarding the camp’s mission remained consistent, though slight declines were noted in items 3 and 7. Item 3 decreased from a mean of 3.67 to 3.45, while item 7 showed a minimal drop from 3.05 to 3.02. Although these differences were not statistically significant, the results indicate that reinforcing the camp’s mission throughout the experience may improve participant alignment with camp goals.

Satisfaction

The satisfaction category, summarized in Table 1, showed the most pronounced declines, particularly in items 6, 14, and 16. Item 6, for example, dropped from a pre-camp mean of 2.62 to a post-camp mean of 2.25. The increased standard deviations in these items suggest diverse individual experiences, indicating that some participants may have felt less satisfied with aspects of the camp as it progressed.

Statistical Analysis

A Wilcoxon Signed Ranks Test was conducted to assess changes between pre- and post-camp responses, with results presented in Table 2. This nonparametric test, suitable for paired samples with non-normally distributed data, identified significant and non-significant changes. Table 3 represents statistical significance related to the pre/post survey with a summary of this below.

Significant Differences

Items pre/post Q6: As indicated in Table 2, this item demonstrated a statistically significant change, with a Z-score of -3.138 and a p-value of .002. This reflects a notable decline in satisfaction, consistent with findings in Table 1.

Items pre/post Q11: Table 2 shows that this item also experienced a significant change (Z = -2.800, p = .005), suggesting a meaningful decrease in participants’ perceptions of communication quality.

Items pre/post Q14: This item, with a Z-score of -2.318 and a p-value of .020, reflects another statistically significant drop in satisfaction.

Non-Significant Differences

Other items not displayed in Table 2 did not exhibit statistically significant changes, with p-values above 0.05. For example, items 1.1 – 2.1 (Z = -0.352, p = .725) and 1.7 – 2.7 (Z = -0.354, p = .724) indicate stable perceptions, suggesting that responses for these items remained consistent from pre- to post-camp.

Summary of Findings

This case study examined the effects of targeted managerial interventions—including a mission statement, operational guidelines, and structured communication strategies—on coach satisfaction at Camp Mid-East. Sixteen survey items were used to measure pre- and post-camp perceptions across four key domains: communication, guidelines, mission alignment, and satisfaction.

Analysis revealed that three of the sixteen items (19%) showed statistically significant declines from pre- to post-camp, while the remaining thirteen items (81%) showed no significant change, indicating generally stable perceptions across most areas. The three items that did significantly decline were:

Item 6 – Satisfaction with compensation: declined from a mean of 2.62 to 2.25 (p = .002),

Item 11 – Clarity of communication from supervisors: dropped from 2.61 to 2.25 (p = .005),

Item 14 – Perceived administrative support: decreased from 2.62 to 2.30 (p = .020).

While these declines highlight areas for improvement, other items remained stable or even slightly improved. For instance, Item 5 (general satisfaction with communication) retained high ratings from pre- to post-camp (3.89 to 3.92), and Item 4 (clarity of camp guidelines) showed a modest increase (3.57 to 3.63), albeit not statistically significant. Items tied to the camp’s mission—such as Item 3 (understanding of the mission) and Item 7 (alignment with camp values)—remained relatively consistent but saw slight, non-significant declines (3.67 to 3.45 and 3.05 to 3.02, respectively).

Further, while communication was a consistent strength across most items, variability emerged in responses to Items 11 and 12, indicating that not all staff experienced communication equally. This points to an opportunity to refine communication systems to ensure consistent clarity and access to information for all team members.

The results in the guidelines and mission domains suggest mixed interpretations or engagement, with no statistically significant changes but some variability in mean scores. These findings imply that while the structural interventions were clearly introduced, their reinforcement throughout the camp may have been uneven or insufficient to shift perceptions meaningfully.

The most notable shifts occurred in the satisfaction domain, where items related to compensation, administrative support, and overall experience revealed declines. These results suggest a potential disconnect between staff expectations and their lived experiences, especially as the camp progressed.

While the interventions did not produce widespread statistically significant changes, the findings reflect the complexity of staff satisfaction in seasonal camp environments. Importantly, this case study is not intended to produce generalizable outcomes but rather to offer context-specific insights that contribute to the broader conversation on leadership, organizational practices, and staff well-being in recreational settings. These exploratory results underscore the need for continued, multi-site research that investigates the long-term and cumulative effects of managerial strategies on staff engagement and satisfaction in youth camps and similar settings.

DISCUSSION 

This study aimed to bridge the gap in the literature by examining the effects of managerial practices—specifically the implementation of a mission statement, operational guidelines, and structured communication—on coach satisfaction in a summer camp setting. While previous research has focused on the benefits of camping for participants and the psychological effects of outdoor experiences (29, 61), less attention has been given to the experiences of camp staff, particularly coaches. Even fewer studies have explored how leadership and organizational strategies within camps impact the satisfaction, retention, and overall effectiveness of these staff members.

Key Findings

The results of this study indicate that implementing a mission statement, operational guidelines, and structured communication strategies led to slight improvements in coach satisfaction at Camp Mid-East in some areas, while other areas showed statistical significance. These finding aligns with existing research that emphasizes the importance of organizational clarity in enhancing job satisfaction and reducing burnout in recreational and educational settings (8, 58). Coaches at Camp Mid-East reported higher levels of satisfaction with their roles and responsibilities following the introduction of these managerial tools, supporting previous studies suggesting that clear communication and aligned organizational goals can significantly improve staff morale (32, 56).

The most notable improvement was observed in communication, with coaches reporting increased satisfaction regarding their ability to receive timely updates and feedback from camp leadership. This finding echoes the work of McCole et al. (2012), who found that open and consistent communication is a key factor in employee satisfaction. Furthermore, the structured weekly meetings and open-door policy implemented at Camp Mid-East allowed coaches to feel more connected to the camp’s leadership, thereby reducing misunderstandings and fostering a more collaborative work environment. This also aligns with Edwards et al. (2013), which highlighted that camps with robust communication strategies were more successful in retaining staff year after year.

The findings of this study are consistent with a growing body of literature that underscores the importance of organizational support and clarity in maintaining staff satisfaction. For example, Wahl-Alexander et al. (2017) found that camp counselors who received clear organizational support experienced lower burnout and higher job satisfaction levels. Similarly, research on youth sports coaching has highlighted the role of communication and mission alignment in improving the performance and retention of coaches (32, 56).

However, this study builds on existing research by focusing on the managerial practices of a summer camp’s athletic department. While past studies have examined the role of leadership in outdoor recreation settings broadly, few have investigated how specific managerial tools, like mission statements and operational guidelines, directly influence the job satisfaction of camp coaches. By implementing these tools at Camp Mid-East, this research provides evidence that aligning staff with a clear mission and operational structure can improve their satisfaction and effectiveness. Additionally, literature has underscored the importance of organizational clarity in the context of post-pandemic challenges. Amonett (2021) highlighted the growing need for camps to support their staff through improved communication and operational guidelines, especially as camps face new challenges related to staff shortages and increased emotional demands.

Bridging the Gap in Existing Research

This study addresses a significant gap in the literature by examining the relationship between managerial practices and coach satisfaction within residential camps. Previous research has focused on campers’ experiences or the broader benefits of camping, while camp life’s operational and managerial aspects have yet to receive much attention. Although studies on burnout and staff retention highlight the need for better support systems, few have investigated managerial tools that can prevent burnout and enhance job satisfaction (8, 58).

The findings suggest that implementing a clear mission statement, operational guidelines, and structured communication systems improves coach satisfaction and addresses staff retention and performance challenges. High turnover rates disrupt camper experiences and create operational difficulties. This research demonstrates that these managerial tools can effectively enhance coach satisfaction, providing practical solutions for camp administrators to improve staff retention and performance.

Furthermore, this study builds on prior findings by illustrating how mission-driven leadership aligns staff with the camp’s broader goals. Previous research, such as Braun et al. (2012), has emphasized the significance of mission statements in organizational contexts. This study extends that work by providing empirical evidence that effectively communicated and reinforced mission statements positively impact staff satisfaction in summer camps.

CONCLUSION 

This study contributes to the growing body of research on organizational leadership in residential camps by providing empirical evidence that managerial practices—specifically, the use of a mission statement, operational guidelines, and structured communication—can positively impact coach satisfaction. While the observed improvements were modest in some areas, the findings underscore the value of clear organizational strategies in fostering a supportive and effective work environment for seasonal staff. As camps continue to face post-pandemic staffing challenges, these results offer actionable insights for camp administrators seeking to enhance staff morale, retention, and overall program quality.

APPLICATIONS IN SPORT

The findings of this case study offer practical insights for those working in sport-based summer camps and similar youth sport environments. While the managerial interventions at Camp Mid-East—implementation of a mission statement, operational guidelines, and structured communication—did not produce widespread statistical changes, they did yield important lessons for camp leaders, coaches, and administrators. Specifically, three areas—compensation satisfaction, clarity of communication from supervisors, and perceived administrative support—emerged as key concerns, with significant declines observed from pre- to post-camp.

For coaches and activity leaders, these results highlight the importance of consistent communication and feeling supported by leadership. Structured communication systems (such as weekly check-ins, feedback loops, and open-door policies) were well received in some areas, but inconsistencies noted in supervisor communication suggest a need for clearer messaging across all levels of staff. Coaches benefit from knowing what is expected of them, how their performance is evaluated, and where to seek help or guidance during high-stress moments in the camp season.

For camp directors and sport program administrators, the study underscores that even well-intentioned managerial tools must be implemented thoughtfully and reinforced consistently. Simply introducing a mission or set of guidelines at orientation may not be sufficient. Ongoing reinforcement throughout the season—through meetings, signage, and leadership modeling—is likely needed to help staff internalize and act upon those values. Additionally, the findings on declining satisfaction around administrative support and compensation suggest that camp leaders should consider how recognition, feedback, and fair treatment can impact staff morale, especially in high-demand roles like coaching.

For parents and guardians, this study provides assurance that some camps are working toward building stronger support structures for the individuals entrusted with leading and mentoring their children. Staff who feel supported and valued are more likely to provide positive, consistent experiences for campers—both on and off the field.

Finally, for researchers and sport management professionals, the results support the need for continued study into seasonal staff satisfaction and retention in sport-specific contexts. Although the findings of this single case are not generalizable, they open the door for further exploration of how mission-driven leadership and communication frameworks can influence staff outcomes in youth sport and recreation.

By grounding conclusions in the actual data and acknowledging where changes did and did not occur, this study contributes to a growing dialogue about staff well-being in sport settings. It invites practitioners to ask not just what policies are in place, but how they are implemented, communicated, and experienced by staff in real time.

LIMITATIONS AND FUTURE DIRECTIONS

While this study provides valuable insights into the impact of managerial practices on coach satisfaction, several limitations must be acknowledged. The small sample size restricts the generalizability of the findings to larger camps or recreational settings. Future research could investigate the applicability of these findings to diverse types of camps and examine the long-term effects of these managerial practices on staff retention and performance.

Engaging leadership, which fosters autonomy, competence, and relatedness, has increased staff engagement and satisfaction (44). By focusing on inspiring, strengthening, and connecting employees, such leadership styles enhance team effectiveness, improve retention, and increase commitment to the camp’s mission and values. This alignment of leadership behavior with critical psychological needs creates an environment where staff feel supported and valued, leading to sustained engagement over time.

Additional limitations were the way in which methods and mediums of communication guidelines and mission messaging were delivered to counselors and coaches. Lines of communication were offered but may have yet to be shown to be the best ways of communication during a summer camp setting. Feedback during camp on the best communication mediums should have been offered to counselors and coaches.

These findings are especially relevant for Camp Mid-East, as staff often navigate multifaceted roles while working with youth from diverse backgrounds. Aligning leadership with engaging principles—such as fostering connection and inspiration—can significantly enhance staff morale and retention (44, 16). Reduced staff turnover strengthens the relationships between staff and campers, improving overall program quality. By investing in leadership and operational strategies prioritizing staff well-being, camps can continue delivering high-quality programming and cultivating an enriching environment for campers and staff.

It should be noted here that while the findings offer useful insights into how managerial practices may influence coach satisfaction, it is important to note that only a small number of statistically significant changes emerged. Specifically, three of the sixteen survey items showed meaningful differences from pre- to post-camp, suggesting that the interventions—while thoughtfully implemented—had limited measurable impact over the short camp session. Most responses remained stable, indicating that while communication, guidelines, and mission alignment were introduced, they may not have been reinforced consistently enough to shift perceptions across the board. These results should limit expectations about the immediate effectiveness of such practices and reinforce the need for ongoing support, sustained implementation, and further research across multiple settings to better understand how managerial strategies contribute to staff satisfaction in seasonal camp environments.

Additionally, while this study focuses on coach satisfaction, future research should explore the effects of managerial practices on other aspects of camp staff performance, such as leadership development and camper outcomes. Investigating how these managerial tools influence staff performance across various domains could yield a more comprehensive understanding of the factors contributing to successful camp operations.

This study contributes to the growing body of literature on camp management by highlighting the often-overlooked role of managerial practices in shaping staff satisfaction, particularly in summer camp athletics. The research demonstrates that implementing a mission statement, operational guidelines, and structured communication systems enhances coach satisfaction at Camp Mid-East. These findings align with previous studies emphasizing the importance of organizational clarity, communication, and leadership in reducing burnout and improving job satisfaction among camp staff (8, 32, 58).

By addressing existing research gaps, this study underscores the practical significance of mission-driven leadership and clear operational structures in maintaining high staff satisfaction. As camps face increasing staffing challenges and operational demands—particularly in the post-pandemic landscape—this research offers actionable insights for camp administrators seeking to enhance management strategies. Camps that prioritize staff well-being through effective communication and organizational support are better equipped to retain experienced personnel, improving the overall camp experience for campers and staff.

While the study’s findings are valuable, limitations such as the small sample size and focus on a single camp indicate the need for further research to explore how these managerial practices impact staff in diverse camp settings. Future studies could examine the long-term effects of these interventions on both staff retention and camper outcomes, enhancing our understanding of how leadership strategies influence the success of camp programs. This study emphasizes the importance of effective leadership and organizational practices in enhancing job satisfaction among camp staff, providing a framework for camp administrators to create supportive, mission-driven environments that foster staff well-being and camp success.

REFERENCES 

  1. American Camp Association (2011). Camp emerging issues survey. Retrieved from http://www.acacamps.org/sites/defauIt/files/images/research/improve/EI%20all%20results%20(wozip)11.pdf
  2. American Camp Association (2019). Camp participation and enrollment trends. Retrieved from https://www.acacamps.org/pressroom/aca-facts-trends
  3. American Camp Association (2020). Camp industry statistics and trends. Retrieved from https://www.acacamps.org/resource-library/research/aca-camps-business
  4. American Camp Association (2023). Breakthrough study from American Camping Association outlines the benefits of camp experience. Retrieved from https://www.acacamps.org/news/press-release/breakthrough-study-outlines-benefits-camp-experience
  5. American Camp Association (2024a). National economic impact study of the camp industry. Retrieved from https://www.acacamps.org/resources/national-economic-impact-study-camp-industry
  6. American Camp Association (2024b). Find a camp. Retrieved from https://find.acacamps.org/
  7. American Psychological Association. (2017). Ethical principles of psychologists and code of conduct. American Psychological Association. Retrieved from https://www.apa.org/ethics/code/
  8. Amonett, K. (2021). Preventing burnout: Caring for your staff’s mental health while camp is in session. Retrieved from https://www.acacamps.org/article/camping-magazine/preventing-burnout-caring-your-staffs-mental-health-while-camp-session
  9. And, K. A., & Kouthouris, C. (2005). Personal incentives for participation in summer children’s camps: Investigating their relationships with satisfaction and loyalty. Managing Leisure10(1), 39-53.
  10. Arkin, M. (2024). Development and validation of a self-report measurement scale of summer camp counselor burnout. (Doctoral dissertation, University of Massachusetts Boston).
  11. Babbie, E. (2021). The practice of social research (15th ed.). Cengage Learning.
  12. Bailey, A., Kang, H., & Kuiper, K. (2012). Personal, environmental, and social predictors of camp staff burnout. Journal of Outdoor Recreation, Education, and Leadership4(3), 157-171.
  13. Bean, C. N., Kendellen, K., & Forneris, T. (2016). Examining needs support and positive developmental experiences through youth’s leisure participation in a residential summer camp. Leisure/Loisir40(3), 271-295.
  14. Beiner, A. (2024). Counselor retention at Jewish summer camp (Doctoral dissertation, Northeastern University).
  15. Braun, S., Wesche, J. S., Frey, D., Weisweiler, S., & Peus, C. (2012). Effectiveness of mission statements in organizations: A review. Journal of Management & Organization18(4), 430-444.
  16. Brennan, D., & Wendt, L. (2021). Increasing quality and patient outcomes with staff engagement and shared governance. Online Journal of Issues in Nursing26(1), 1-10.
  17. Brymer, E., Crabtree, J., & King, R. (2021). Exploring perceptions of how nature recreation benefits mental well-being: A qualitative inquiry. Annals of Leisure Research24(3), 394–413.
  18. Bultena, G. L., & Klessig, L. L. (1969). Satisfaction in camping: A conceptualization and guide to social research. Journal of Leisure Research1(4), 348–354.
  19. Campbell, D. T., & Stanley, J. C. (2015). Experimental and quasi-experimental designs for research. Ravenio Books.
  20. Carpio de los Pinos, C., Soto, A. G., Martín Conty, J. L., & Serrano, R. C. (2020). Summer camp: Enhancing empathy through positive behavior and social and emotional learning. Journal of Experiential Education43(4), 398-415.
  21. Claman, M. (2021). Evaluating your camp staff orientation during orientation. American Camp Association. Retrieved from https://www.acacamps.org/blog/evaluating-your-camp-staff-orientation-during-orientation.
  22. Corder, G. W., & Foreman, D. I. (2014). Nonparametric statistics: A step-by-step approach. John Wiley & Sons.
  23. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed method approaches (5th ed.). Sage Publications.
  24. Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). John Wiley & Sons.
  25. Edwards, M. B., Henderson, K. A., & Campbell, K. (2013). Facilitating healthy, well, and wise camp staff. Retrieved from https://www.acacamps.org/article/camping-magazine/facilitating-healthy-well-wise-camp-staff
  26. Garst, B. A., Gagnon, R. J., & Whittington, A. (2016). A closer look at the camp experience: Examining relationships between life skills, elements of positive youth development, and antecedents of change among camp alumni. Journal of Outdoor Recreation, Education, and Leadership8(2), 180–199.
  27. Garst, B. A., Skrocki, A., Owens, M. H., Gaslin, T., Schultz, B. E., Hashikawa, A. N., … & DeHudy, A. A. (2024). Evaluating the mental, emotional, and social health status of youth and staff in a national summer camp cohort. Children’s Health Care, 1-21.
  28. Garst, B. A., & Whittington, A. (2020). Defining moments of summer camp experiences: An exploratory study with youth in early adolescence. Journal of Outdoor Recreation, Education, and Leadership12(3), 306-321.
  29. Garst, B. A., Williams, D. R., & Roggenbuck, J. W. (2009). Exploring early 21st-century developed forest camping experiences and meanings. Leisure Sciences, 32(1), 90-107.
  30. Gaslin, T., Dubin, A., Sorenson, J., Rosen, N., Garst, B., & Schultz, B. (2023). The unexpected positive outcomes for summer camps in the time of COVID-19. Journal of Park and Recreation Administration41(1), 107-119.
  31. Glass, J. (2023). Creating a positive organizational culture: Keys to employee satisfaction. Business Studies Journal, 15(6), 1-2.
  32. Halsall, T., Kendellen, K., Bean, C., & Forneris, T. (2016). Facilitating positive youth development through residential camp: Exploring perceived characteristics of effective camp counselors and strategies for youth engagement. Journal of Park and Recreation Administration34(4), 20-35.
  33. Hawke, A., & Page, E. (2022). Summer camp: Staffing and supply hurdles, but no shortage of fun. Retrieved from https://www.csmonitor.com/The-Culture/2022/0713/Summer-camp-Staffing-and-supply-hurdles-but-no-shortage-of-fun
  34. Henderson, K. A., Whitaker, L. S., Bialeschki, M. D., Scanlin, M. M., & Thurber, C. (2007). Summer camp experiences: Parental perceptions of youth development outcomes. Journal of Family Issues28(8), 987-1007.
  35. Holt, N. L., Neely, K. C., Slater, L. G., Camiré, M., Côté, J., Fraser-Thomas, J., … & Tamminen, K. A. (2017). A grounded theory of positive youth development through sport based on results from a qualitative meta-study. International review of sport and exercise psychology10(1), 1-49.
  36. Honig, D., & Diver, R. (2022). Mission-driven bureaucrats: Why support intrinsic motivation in developmental leadership? Retrieved from https://dlprog.org/opinions/mission-driven-bureaucrats-why-support-intrinsic-motivation-in-developmental-leadership/
  37. Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396-403.
  38. Kelley, B. C. (1994). A model of stress and burnout in collegiate coaches: Effects of gender and time of season. Research Quarterly for Exercise & Sport, 65(1), 48-58.
  39. Larson, M. G. (2006). Descriptive statistics and graphical displays. Circulation114(1), 76–81.
  40. Lencioni, P. (2012). The advantage: Why organizational health trumps everything else in business. Jossey-Bass.
  41. Lubans, D. R., Plotnikoff, R. C., & Lubans, N. J. (2012). A systematic review of the impact of physical activity programs on social and emotional well-being in at‐risk youth. Child and Adolescent Mental Health17(1), 2-13.
  42. Lussier, R. N., & Achua, C. F. (2022). Leadership: Theory, application, & skill development. Sage Publications.
  43. Lynch, M. L., Trauntvein, N. E., Barcelona, R. J., & Moorhead, C. A. (2023).Retaining camp’s most valuable resource: A study on the fulfillment of counselor autonomy, competence, and relatedness and their impact on willingness to return. Journal of Park and Recreation Administration, 41(4),37-54.
  44. Mazzetti, G., & Schaufeli, W. B. (2022). The impact of engaging leadership on employee engagement and team effectiveness: A longitudinal, multi-level study on the mediating role of personal and team resources. Plos one17(6), 1-25.
  45. McCole, D., Jacobs, J., Lindley, B., & McAvoy, L. (2012). The relationship between seasonal employee retention and sense of community: The case of summer camp employment. Journal of Park and Recreation Administration30(2), 85–101.
  46. Pastore, D. (1994). Job satisfaction and female college coaches. Physical Educator, 50(4), 216–221.
  47. Pathak, A. (2024). The role of leadership in promoting employee wellness. The HR Director. Retrieved from https://www.thehrdirector.com/features/employee-engagement/role-leadership-promoting-employee-wellness/
  48. Povilaitis, V. (2015). Positive youth development at a residential summer sport camp. University of Toronto (Canada).
  49. Ramsing, R. (2007). Organized camping: A historical perspective. Child and Adolescent Psychiatric Clinics of North America16(4), 751–754.
  50. Reeves, S., Kuper, A., & Hodges, B. D. (2008). Qualitative research methodologies: Ethnography. BMJ337, 512–514.
  51. Robson, C., & McCartan, K. (2016). Real world research (4th ed.). John Wiley & Sons.
  52. Russell, R., Guerry, A. D., Balvanera, P., Gould, R. K., Basurto, X., Chan, K. M., … & Tam, J. (2013). Humans and nature: How knowing and experiencing nature affects well-being. Annual Review of Environment and Resources38(1), 473–502.
  53. Saldivar, J. M. N. (2024). Mission-driven leadership: An emergent theory. Ignatian International Journal for Multidisciplinary Research2(9), 328-342.
  54. Sibthorp, J., Browne, L., & Bialeschki, M. D. (2010). Measuring positive youth development at summer camp: Problem solving and camp connectedness. Research in Outdoor Education10(1), 1-12.
  55. Sieber, J. E. (Ed.). (2012). The ethics of social research: Surveys and experiments. Springer Science & Business Media.
  56. Tian, H., Iqbal, S., Akhtar, S., Qalati, S. A., Anwar, F., & Khan, M. A. S. (2020). The impact of transformational leadership on employee retention: mediation and moderation through organizational citizenship behavior and communication. Frontiers in Psychology11, 1-11.
  57. Vella, S., Oades, L., & Crowe, T. (2011). The role of the coach in facilitating positive youth development: Moving from theory to practice. Journal of Applied Sport Psychology23(1), 33–48.
  58. Wahl-Alexander, Z., Richards, K. A., & Washburn, N. (2017). Changes in perceived burnout among camp staff across the summer camp season. Journal of Park & Recreation Administration35(2), 74–85.
  59. Warner, R. P., Godwin, M., & Hodge, C. J. (2021). Seasonal summer camp staff experiences: A scoping review. Journal of Outdoor Recreation, Education, and Leadership13(1), 40–63.
  60. Whitacre, J., & Farmer, J. (2013). How come the best job I ever had was when I worked at a summer camp? Understanding retention among camp counselors. Journal of Youth Development8(2), 29–40.
  61. Wicks, C., Barton, J., Orbell, S., & Andrews, L. (2022). Psychological benefits of outdoor physical activity in natural versus urban environments: A systematic review and meta‐analysis of experimental studies. Applied Psychology: Health and Well-Being14(3), 1037–1061.
  62. Yin, R. K. (2018). Case study research and applications. Sage Publications.
  63. Zigmond, L. (2018). A reason to stay: Staff retention at Jewish overnight summer camps. Journal of Jewish Education84(4), 389–412.

2025-09-25T15:13:42-05:00October 24th, 2025|Research, Sport Education, Sports Coaching, Sports Facilities, Sports Health & Fitness|Comments Off on Managerial practices and coach satisfaction: A summer camp recreation and athletics case study 

Navigating Anxiety and Aspiration: Mental Health and Intrinsic Motivation Among Black Former Student-Athletes at a Division I HBCU

Authors: Michael M. Bivins EdD

Mark Mitchell, DBA

Founder and President of Pride and Strive Inc., Mount Laurel, NJ, USA.

Editor’s Note: The address information for the Corresponding Author has been updated.


Corresponding Author:

Michael M. Bivins, EdD, MS,

One Academy Drive

Daphne, AL 36526

[email protected]

646-330-2157

Michael M. Bivins, EdD, is the founder and educator for Pride and Strive Inc. He is also an adjunct faculty member at the United States Sports University. His research interests include various health-related issues, including nutrition and the mental health of student-athletes.

Navigating Anxiety and Aspiration: Mental Health and Intrinsic Motivation Among Black Former Student-Athletes at a Division I HBCU

ABSTRACT

Purpose: An individual’s mental health can influence their decision-making and thought processes. For National Collegiate Athletic Association (NCAA) student-athletes, their mental health can impact their academic success. This study examined how mental health and intrinsic motivation influenced the academic success of seven Black former student-athletes at an HBCU (Historically Black Colleges and Universities). The mental health of student-athletes can play a significant role in their intrinsic motivation. Methods: Using qualitative analysis, the researcher interviewed former student-athletes who participated in semi-structured interviews analyzed using NVivo 12 of their experiences as a Black male and female student-athletes at an HBCU. The study consisted of seven Black student-athletes who played football or basketball for at least one year at an HBCU. The HBCU chosen represented NCAA Division Ⅰ in the Mid-Eastern Athletic Conference (MEAC). The researcher meticulously organized the qualitative study using the software NVivo 12, ensuring a comprehensive and reliable research process. Results: The data collected were rigorously analyzed to identify themes that emerged from the interviews. The data revealed four themes: 1) Anxiety, 2) Self-Motivation, 3) Social Life, and 4) Support from coaches and administration. Conclusions: The seven former student-athletes identified different factors contributing to their mental health and motivation for academic success. The overall environment at the HBCU, family support, and interactions with non-student athletes, coaches, faculty, and staff played a significant role in their psychological well-being and success. The researcher proposed recommendations for future research to explore the mental health issues of student-athletes at other institutions.

INTRODUCTION

Many student-athletes nationwide compete in the National Collegiate Athletic Association (NCAA). Their goal is to get an education while competing in their respective sport. According to the National Collegiate Athletic Association (n.d.), the NCAA is divided into Divisions Ⅰ, Ⅱ, and Ⅲ. NCAA Division Ⅰ has more than 300 colleges/universities and over 6,000 teams, with opportunities for over 170,000 student-athletes. 

Black student-athletes comprise most football and basketball players competing within NCAA Division Ⅰ. Ingraham (2020) noted that Black student-athletes make up sixty percent of basketball and football rosters while only representing eleven percent of the other sports rosters. Many studies examined Black student-athlete perspectives of competing within the NCAA Division Ⅰ athletics over the years. Numerous studies highlighted how Black student-athletes felt exploited by their colleges/universities. The exploitation of college athletes has been a topic of discussion for many years (Van Rheenen & Atwood, 2014). As exploitation can take different forms, the common theme for many student-athletes included athletic and economic factors. There is also a lack of educational emphasis from their college/university (Logan et al., 2017).

The college experience and motivation to succeed will vary from person to person, and everyone will have the goals they want to achieve. Many student-athletes must endure different obstacles that can strain their mental health. Some mental health problems include depression, anxiety, and dealing with different traumas. For black student-athletes, a supportive college environment can be essential to their athletic and academic success.

Over the past few years, mental health has been an essential topic of discussion among many people. Student-athletes are uniquely juggling their education and competing in their sport. Many student-athletes compete in the NCAA to get an excellent education at their respective institutions. The word student-athlete reminds everyone that students in the NCAA are at their college mainly for educational purposes. Student-athlete is a term that lawyers of the NCAA created in 1955 to avoid the notion that the players were employees (Posner & Schneider, 2021). This study examined the mental health and intrinsic motivation of seven black former student-athletes who competed in an HBCU (Historically Black Colleges and Universities) football and basketball program. The study examined the student-athletes intrinsic motivation and their influence by mental health factors, which included anxiety, stress, and social pressures.

Students have different levels of intrinsic motivation when dealing with the obstacles and challenges they may face during their transition into college (Daniels & Araposatathis, 2005). The mental health of student-athletes can play a significant role in their intrinsic motivation. This study looked at former student-athletes who provided an in-depth analysis of their experiences as Black male and female student-athletes at an HBCU. As many HBCUs compete within the NCAA Division Ⅰ athletics, it is common for top African American student-athletes to ultimately choose to attend larger PWIs (Predominantly White Institutions) (Hill, 2019). To date, very limited research has examined the mental health of Black former student-athletes who competed at an NCAA Division Ⅰ HBCU. As there are a small number of HBCU Division Ⅰ football and basketball programs, this study provided a research gap into the perspective of a small population compared to Black former student-athletes who competed at a PWI.

The Environment of Black Student-Athletes

According to Beamon (2014), African American student-athletes at PWIs face difficulties that include social and academic integration and various forms of racism.

One of the biggest stereotypes cited in the study was the perception that African American students at PWIs are only there for their athletic ability and not academics. The stereotype was toward both African American student-athletes and non-athlete African American college students. Tran et al. (2021) stated that student-athlete status might be an advantage for White student-athletes but a disadvantage for Black student-athletes when considering their peers’ perception of their academic success and intelligence.

In a study, Beamon (2014) noted that many African American student-athletes experienced racism beyond the classroom. Respondents revealed that sports did not necessarily bring different races and cultures together. Many respondents have felt a racial divide in the locker room. Experiencing racism can contribute to the mental health burden of Black individuals in the United States (Volpe et al., 2020). Cooper and Newton (2021) Mentioned that discriminatory incidents are not isolated to athletics but shared through academic and social spaces. Moreover, Museus et al. (2018) stated that college students are more contented and have a better sense of belonging when around people from the same cultural background.

Self -Determination Theory and Intrinsic Motivation

Self-determination theory (SDT) is a theory that explores human motivation and personality, where an individual can achieve self-determination through various factors (Ryan & Deci, 2000). The theory investigates an individual’s growth tendencies and inner psychological needs, which are the foundation of self-motivation. Within SDT, three essentials influence individual satisfaction. They include competence, relatedness, and autonomy (Ryan & Deci, 2000). However, it is essential to note that environmental factors can sometimes act as barriers, hindering self-motivation, social functioning, and overall personal well-being (Ryan & Deci, 2000).

Motivation consists of energy, direction, and persistence, which all contribute to the activation of an intention (Ryan & Deci, 2000). Furthermore, motivation has a high value due to the results that occur from it (Ryan & Deci, 2000). People are motivated by different factors with varied experiences and consequences (Ryan & Deci, 2000). There are different types of motivation that one may experience. Intrinsic motivation is an inherent form of motivation that leads to personal satisfaction (Ryan & Deci, 2000). Legault (2016) described intrinsic motivation as the engagement in activities or behaviors that are intrinsically satisfying. Intrinsic motivation is the highest level of self-determination (Holopainen et al., 2021). Intrinsic motivation is a natural inclination toward assimilation, mastery, and interest important to cognitive and social development (Ryan & Deci, 2000). People can be motivated by the value of an activity (Ryan & Deci, 2000). Another form of motivation Ryan and Deci (2000) noted is extrinsic motivation. Extrinsic motivation is the performance of an activity to achieve a separable outcome (Ryan & Deci, 2000). 

The Mental Health of the Black Student-Athlete

According to the NCAA, a recent study showed that mental health issues are still a significant concern among all NCAA student-athletes (Johnson, 2022). As Black students transition from high school into college, the accumulation of stress associated with the transition becomes a concern (Brittian et al., 2009). All student-athletes, generally, have been viewed as at risk for anxiety, depression, substance use, eating disorders, and performance-related stress (Kilcullen et al., 2022). African Americans tend to suffer from diseases related to mental illnesses, such as stress and anxiety, disproportionately (Reid & Smalls, 2004). According to Armstrong et al. (2015), only 20% of college students with mental health issues seek help from the provided services.  Student-athletes underutilize their health and counseling services more than non-student-athletes (Armstrong et al., 2015). The opposing views on seeking mental health help are prevalent in African American communities (Alvidrez et al., 2008).

Armstrong et al. (2015) also stated that the stigma of seeing a counselor is a weakness within the athletic subculture. The NCAA has recognized that their student-athletes mental health should become more emphasized (Henry, 2022). The NCAA has also acknowledged coaches’ role in helping student-athletes get the support and treatment they may need (Nocera, 2016).  There is a high probability that student-athletes on every college campus have some form of mental health issue, and Noncognitive characteristics of student-athletes have influenced academic performance (Comeaux & Harrison, 2011). 

Lindberg (2021) alluded to a crisis in the NCAA where there continues to be a significant percentage of student-athletes who ask for help managing stress and anxiety.  Furthermore, a survey conducted in 2015 found that 30% of student-athletes reported feeling overwhelmed (Lindberg, 2021). Coaches and parents of student-athletes usually emphasize performance over personal growth and character (Lindberg, 2021). 

Sense of belonging

Penner et al. (2021) noted that a sense of belonging, and a positive environment are essential to a student’s mental health and potential for academic achievement. In a study, Penner et al. (2021) stated that having a friendly and supportive faculty/staff contributed to a sense of belonging. A warm and friendly environment from other students on campus will also contribute to a sense of belonging. According to O’Keeffe (2013), a sense of belonging is also a contributing factor when considering the retention rates of all students. O’Keeffe (2013) noted that the institution must create an environment where students feel welcomed and accepted. The Need to Belong Theory states that belonging should be essential in all humans and cultures (Baumeister & Leary, 1995). Baumeister and Leary (1995) maintained that belongingness should entail an individual having a certain minimum quantity and quality of social contacts and interactions.  

According to Baumeister and Leary (1995), belongingness has two main features. The first feature is frequent contact and interactions with others. The second and equally important feature of belongingness is the feeling that a bond or relationship becomes marked by stability, emphasizing the importance of long-term connections in the Need to Belong theory. 

METHODS

Subjects and Instrumentation

For the study, the participants were Black male and female, former student-athletes who played football or basketball for at least one year at an HBCU. The HBCU selected represented NCAA Division Ⅰ in the Mid-Eastern Athletic Conference (MEAC). For research, a selection of seven participants represented students from different graduating years. The graduating years for the student-athletes ranged based on the year the participants entered college. The graduating years were essential to the study because they gave the researcher an idea of how the student-athletes viewed their HBCU over the years regarding their mental health and intrinsic motivation.

The instrument used was an interview guide. Conducting in-depth interviews was essential for this study because it helped understand the student-athlete’s experiences. 

The study employed semi-structured interviews, a method in which the researcher asked the participants questions related to two broad topics. The researcher chose the approach to foster a more natural and open conversation, respecting the individuality of each participant and enabling the researcher to understand the student-athlete’s experiences better.

  • RQ1: What influence did faculty and staff at the HBCU have on Black male and female student-athletes when examining their mental health and intrinsic motivation to succeed academically?
  • RQ2: How has the overall environment at the HBCU helped the student manage their mental health and intrinsic motivation for academic success?

Table 1 indicates a summary of demographic information of the participants.

Table 1:

 Demographic of Participants

CharacteristicNumber
Gender 
Female2
Male5
Sport 
Men’s Basketball2
Women’s Basketball2
Football3
Graduated 
Men’s Basketball1
Women’s Basketball2
Football3

Table 2 represents the sport and year the participants left the institution.

Table 2:

Year Student Left Institution

YearSport
2009Football
2010Football
2013Football
2016Men’s Basketball
2019Women’s Basketball
2020Women’s Basketball
2021Men’s Basketball

Table 3 represents the age of the participants at the time of the interview.

Table 3:

Age of Participants (at the time of interviews)

ParticipantAge
Football Athlete 135
Football Athlete 235
Football Athlete 331
Male Basketball Player One31
Female Basketball Player One25
Female Basketball Player Two24
Male Basketball Player Two23

Validity and Reliability

The researcher ensured the trustworthiness of the data collected and used peer debriefings from an expert in the mental health field and another experienced qualitative researcher to validate interpretations, increase objectivity, and minimize researcher bias. Peer debriefing helped in the formation of unbiased questions during the interviews. Furthermore, the researcher used reflexibility and approached the interviews with an open mind. Although not a former student-athlete, the researcher attended two HBCUs. The researcher needed to put any personal experiences of past interactions with HBCU student-athletes aside to ensure transparency and trustworthiness of the data collected.

NVivo 12 was chosen for qualitative research because it helped the researcher identify patterns in the participants’ responses. Further, NVivo helped the researcher identify any connections or relationships in the participants’ overall experiences. The themes that were developed were analyzed based on the patterns revealed by analyzing the software.

Procedures and Data Analysis

The researcher employed purposive sampling to select participants for the study. The selection of participants involved carefully judging who best fit the study’s criteria. Specifically, the researcher contacted eight (8) Black former student-athletes who had previously played football and basketball at the selected HBCU. Seven of the participants responded and agreed to take part in the research. 

The Institutional Review Board (IRB) approved the study of the participation of former student-athletes. Before the interviews, the researcher sent the participants an informed consent document to be signed and returned. The researcher also sent the participants a demographic questionnaire to be answered and returned. The researcher constructed a total of 14 open-ended questions for the interviews. The researcher asked follow-up questions that allowed the participants to elaborate honestly. With permission from participants, the researcher video-recorded the interviews and used Zoom recording software. The former student-athletes provided consent for recording. The average interview length was 20 minutes. 

Data were analyzed to identify themes that emerged from the interviews. During the interviews, the researcher took additional notes for reference. The interviewer transcribed the data using transcription software. NVivo 12 was used to organize and analyze the data. To ensure the accuracy of the data, the author checked all transcripts and video-recorded interviews. When analyzing, the researcher identified codes. The codes were then further analyzed to identify themes within the data.

RESULTS

After the researcher conducted and analyzed the interviews, five themes emerged.  The themes included the following:

  1. Anxiety (Research Questions One)
  2. Self-Motivation (Research Questions Two)
  3. Social Life (Research Question Two)
  4. Support from coaches and administration (Research Question One)

Table 4 indicates the themes that emerged and representative quotes of the participants interviewed.

Table 4:

Themes and Representative Quotes

Theme OverviewRepresentative Quotes
Theme 1: Anxiety
Codes for anxiety included: overwhelmed, balancing school and athletics, mental health services, and religion.“I actually had to go to the wide receiver coach and tell him that I had to remove myself from off of the team because I felt my grades were [suffering].”
“So, when you are a student athlete at the division one level, you are waking up at four o’clock in the morning working out. Then, you have to get study hall hours.”
“Having better [mental health] services was probably the biggest thing that I would change about my experience.”
“Pray. [I] Definitely pray.”
Theme 2: Self-Motivation
Codes for self-motivation included: Intrinsic motivation, and family support.“I’ve just learned to be mentally tough. And that was definitely instilled in me from a young age.”
“Oh yeah. So that was the easiest part for me. My family. I was just trying to be the first in my family to graduate college, which I have done.”
Theme 3: Social Life
Codes for social life included: non-student-athletes, HBCU culture, and other student-athletes.“Being around other people [non-student-athletes] … It’s real fun.”
“Everything was so positive … Everybody.
“I did hang out with the [other] athletes of course.”
Theme 4: Support from coaches and faculty members
Codes for the support from coaches and faculty members included: Scheduling, academic advisors, coaches, and support from professors.“No [scheduling conflict]. My own advisors pretty much set everything up for me.”
“There would be times when I would turn to one of the academic advisors, who was there [for support].
“I was fortunate enough to have a coach who … cared about what you were doing off the field.”
“I did rely on my assistant coach … She was amazing … I had really bad anxiety during that time.”

Theme and Codes

Note. The figure represents the four codes that relate to the theme.

All participants in the study mentioned experiencing some form of anxiety throughout their collegiate careers. Two of the seven participants used their religion, where they relied on prayers to get through some of their challenges. With the anxiety that the student-athletes experienced, the participants felt overwhelmed. All Participants mentioned it was often challenging to balance school and athletics. Female basketball player one was overwhelmed by the demands of her sport and not getting what she felt was the HBCU experience she always wanted. The theme of anxiety connects to research question one. It appeared that the administration, coaches, and faculty did not have a significant influence on the participants to seek mental health assistance, as five of the seven participants were not aware of mental health services offered.

Theme and Codes

Note. The figure represents the two codes that relate to the theme

The theme of self-motivation was associated with research question two. The overall environment did not hinder the participant’s goals for academic success, as six of the seven participants expressed the need to take advantage of their opportunity to get a college degree while doing what they loved in their sport. Football athlete three mentioned that his self-motivation came from different areas in his life. One thing that motivated him was feeling like he did not do well academically in high school. He wanted to prove that he could do better academically at the collegiate level. Four of the seven participants mentioned their families and used them as intrinsic motivation to succeed academically. Football athlete two and Football athlete three mentioned that they got their intrinsic motivation to succeed academically from seeing people within their family graduate with their college degrees. They wanted to continue with the success they already saw in their families. 

Theme and Codes

Note. The figure represents the three codes that relate to the theme

As there was a high demand for the participants to manage athletics and academics, most participants mentioned that having a social life was essential. Research question two was associated with the theme of social life. There were positive interactions with others on campus. Six of the seven participants in the study mentioned that they had friends who were non-student-athletes.  Male basketball player one and male basketball player two mentioned that they appreciated many non-student-athletes during college.

Female basketball player two mentioned that she had good relationships with other students in her major department as she believed that healthy relationships with others were important.  Football athlete three and male basketball player one also mentioned they had good relationships with student-athletes and non-student-athletes.

Theme and Codes

Note. The figure represents the four codes that relate to the theme

Support from coaches and faculty members was one of the most compelling themes related to research question one. Six of the seven participants appreciated the support they received from their coaches and faculty members. All participants mentioned that support was necessary for their mental health and overall success. The support came in different forms that included scheduling, mentorship, and mental well-being.

DISCUSSION

Research Question One: What influence did faculty and staff at the HBCU have on Black male and female student-athletes when examining their mental health and intrinsic motivation to succeed academically?

The study’s findings revealed that faculty and staff had an impact on their student-athletes. Consistent with prior research by Penner et al. (2021), the friendly and supportive faculty/staff contributed to a sense of belonging. There was tremendous encouragement from the participant’s coaches and professors to excel in their education. In addition to the support from coaches and professors, two participants also mentioned that academic advisors played a tremendous role in their academic development. The study was consistent with the self-determination theory. As Ryan and Deci (2000) cited, competence, relatedness/connectedness, and autonomy are three conditions of the Self-Determination Theory (SDT) that influence intrinsic motivation. The support of faculty and coaches indicated autonomy and competence. Autonomous supportive teachers enhance their students’ intrinsic motivation (Ryan & Deci, 2000).

All participants in the study mentioned that they experienced some form of anxiety and felt overwhelmed as a student-athlete. As the mental health of student-athletes is important, it is also vital to examine how they deal with their mental health issues. College faculty and administration should continue to take note of their role in minimizing the psychological distress of their students. Consistent with prior research conducted by Johnson (2022), mental health issues were a significant concern among the student-athletes.

It is important to note that two of the seven participants were female. There was a notable difference in the gender dynamics regarding mental health issues. In contrast to the male participants, the female participants heavily relied on their coaches for emotional support when they felt they missed their families. In addition, female basketball player one was the only participant who utilized the mental health services offered. The study revealed that the female participants were slightly more mindful of their psychological well-being.

At HBCUs, the significant presence of Black coaches and faculty members, in contrast to PWIs, has a profound cultural influence on their students. As Klopfenstein (2005) noted, culturally similar teachers can positively influence students of the same culture. The warmer relationship between coaches and their student-athletes at HBCUs, as reported by Murty et al. (2014), further underscores this cultural influence. Many participants expressed their gratitude for the support their coaches provided. 

Collectively, the student-athlete’s narratives support faculty and staff’s critical role in their academic development. Five of the seven participants heavily relied on their coach’s support and mentioned that their coaches played a significant role in their academic development. Academic advisors also played a critical role and helped the student-athletes get through challenging tasks. The positive feedback and interactions from coaches, faculty, academic advisors, and family members helped the former student-athletes achieve autonomy and competence. The participants believed they were in an environment that fostered their ability to achieve their academic and athletic goals. According to the SDT, a competent individual would feel like they can master a task and have the confidence to succeed and grow (Ryan & Deci, 2020). Ryan and Deci (2020) stated that there is a link between intrinsic motivation and the fulfillment of the needs for autonomy and competence. This study highlights the influence of staff and faculty at the HBCU in encouraging the student-athlete’s intrinsic motivation to succeed academically.

Research Question Two: How has the overall environment at the HBCU helped the student manage their mental health and intrinsic motivation for academic success?

The participants benefited from the social life outside of athletics, and there was interaction and support from non-student-athletes on campus. Most participants appreciated the HBCU culture; they felt it was an overall supportive environment. The study revealed consistent findings with prior research conducted by Museus et al. (2018), which found that college students are more contented and have a better sense of belonging when around people from the same cultural background.

The study revealed that positive interactions with teammates and other student-athletes from different sports on campus were critical for success. In the SDT, people have a high sense of relatedness when they experience connections with other people, enhancing their sense of belonging (Ryan & Deci, 2020). Communication and support of other student-athletes were effortless due to the commonalities that they shared. In addition to the positive interactions with other student-athletes, participants also felt connected with non-student-athletes.

The study indicated that student-athletes who have connections and gain support from non-student-athletes can have a positive impact. The positive interaction with non-student-athletes on campus also enhanced a sense of belonging. The sense of belonging enhanced the participant’s intrinsic motivation because the interactions with others did not add stress, anxiety, or other mental health issues. A high sense of belonging can increase a student’s motivation, academic engagement, and confidence (Kelly et al., 2024).

The participants demonstrated high self-motivation, as six of the seven participants had high levels of intrinsic motivation to succeed in academics, leading to their college degrees. The participants wanted a promising career after college. The theme of self-motivation emphasized the role of outside influences, such as family and friends, on student-athletes. The interviews did not reveal that the participants had a high athletic identity. When student-athletes perceive themselves as having high levels of athletic identity, there is a negative correlation between their academic motivation and grade point averages (GPA) (Bimper, 2014).

None of the participants mentioned that they experienced any form of racism on campus. Previous studies cited that Black student-athletes experience racism at PWIs.  Beamon (2014) stated that Black student-athletes felt negatively stereotyped at their PWI. Tran et al. (2021) stated that the perception of a student-athlete at PWIs is positive for White student-athletes and negative, with a disadvantage for Black student-athletes when considering their peers’ perception of their academic success and intelligence. The study participants did not feel negatively stereotyped as being academically inferior.

This study highlights HBCUs’ relevancy and cultural role to Black students, whether student-athletes or non-student-athletes. Shuler et al. (2022) noted that many Black students believe that HBCUs are culturally relevant and safe environments that are free from any racial hostility they perceive at PWIs. Furthermore, students who attend HBCUs are more likely to graduate and achieve advanced degrees (Shuler et al., 2022). As noted in the study, there is a heavy emphasis on academic achievement from coaches, faculty, and administration.

CONCLUSIONS

This study examined the mental health and intrinsic motivation of Black former student-athletes at one selected HBCU. The former student-athletes represented NCAA Division Ⅰ. Results indicated that family support and positive interactions with others on campus, including non-student-athletes, faculty, and coaches, can positively impact a student-athlete’s mental health. The research conducted highlighted the relevancy of the self-determination theory. When examining an individual’s potential for academic success, there is an emphasis on components of the theory (relatedness, autonomy, and competence) throughout the study. The NCAA must continue to encourage their institutions to accentuate the importance of managing the mental health of their student-athletes. Implementing policies that underline the importance of mental health services and resources can improve well-being. A limitation of this study is the selection of one HBCU. As the college experience can vary from person to person, researchers can expand this study to former NCAA Division Ⅰ student-athletes who attended other HBCUs. In addition, expanding to HBCU NCAA Division II and III would help get the perspective of student-athletes who compete at different levels. Another limitation was a focus on student-athletes who competed in football and basketball. Future research must consider student-athletes from various sports to build on this study’s findings. In addition, future research should explore the mental health and intrinsic motivation of Black former student-athletes who attended PWI compared to those who attended HBCUs. As there are different methodological approaches, a cross-sectional comparison with Black former student-athletes at PWIs and HBCUs would help understand the differences in the student’s environment, psychological health, and interactions with others.

APPLICATIONS IN SPORT

The NCAA can use this study to continue encouraging their student-athletes to use their schools’ mental health services. Additionally, this study can encourage the NCAA and other institutions to implement and update policies supporting mental health awareness. Administrators at HBCUs can use the information presented in this study to develop and implement policies geared toward their student-athletes. Moreover, this study can help faculty members and coaches better understand their role in helping student-athletes increase their psychological well-being and motivation to succeed academically.   

2025-08-11T08:11:47-05:00August 9th, 2025|General, Sports Health & Fitness, Sports Medicine, Sports Studies, Sports Studies and Sports Psychology|Comments Off on Navigating Anxiety and Aspiration: Mental Health and Intrinsic Motivation Among Black Former Student-Athletes at a Division I HBCU

Efficacy of 12-Week Handgrip Strength Training Program Amongst Older Adults: A Pilot Study 

Author’s: Abbey Keller1, David Cason1, Shannon Hardy2, Madison Norris2, Angila Berni1, Michel Heijnen1, Alexander McDaniel1, Lindsey Schroeder1, Tiago Barriera3, Wayland Tseh1

1 School of Health and Applied Human Sciences, University of North Carolina Wilmington, Wilmington, North Carolina, United States of America

2 Carolina Bay at Autumn Hall, 630 Carolina Bay Drive., Wilmington, North Carolina, United States of America

3 School of Education, Syracuse University, Syracuse, New York, United States of America 

Corresponding Author: 

Lindsey H. Schroeder, Ed.D., LAT, ATC, CES

University of North Carolina Wilmington
School of Health & Applied Human Sciences

601 South College Road
Wilmington, NC 28403-5956
O: (910) 962-7188

F: (910) 962-7073

ABSTRACT 

Handgrip strength is indicative of overall health and longevity. The significance of a strong grip increases with age as it relates to lower mortality rates and improved functional capacity.

PURPOSE: To evaluate the effectiveness of a 12-week handgrip strength training program amongst older adults. METHODS: A total of 12 participants (mean age = 82.7 ± 4.8 years; height = 160.7 ± 7.4 cm; body mass = 64.2 ± 13.9 kg; 2 males; 10 females) completed the 12-week exercise intervention. The participants engaged in a twice-weekly, 45-minute suspension training regimen that incorporated a range of exercises targeting upper body strength and stability. Handgrip strength was assessed via a handgrip dynamometer at baseline and post-intervention. A paired samples t-test was employed to assess differences between pre-and post-intervention grip strength. A Bonferroni correction was applied to mitigate the risk of Type I error due to multiple comparisons, setting the adjusted alpha level at p = 0.025. Effect sizes were calculated using Cohen’s d to assess the practical significance of the findings. RESULTS: The analysis revealed a statistically significant improvement in right-handgrip strength, with values increasing from 21.5 ± 1.3 kg in Week 1 to 23.0 ± 1.4 kg in Week 12 (p = 0.006). No significant improvement was observed in left-handgrip strength (20.2 ± 1.2 kg to 21.1 ± 1.5 kg; p = 0.12). The right handgrip strength demonstrated a large effect (d = 0.99), whereas the left handgrip strength exhibited a moderate effect (d = 0.48). CONCLUSION: Findings from this study suggest that the 12-week suspension training and handgrip strength exercise regimen was both statistically and practically effective in increasing HGS in older adults. PRACTICAL APPLICATIONS: Allied healthcare professionals should educate older adults on the importance of HGS and incorporate targeted exercises into their regimens to mitigate age-related functional decline and promote better outcomes.

KEYWORDS: Suspension Training, Longevity, Handgrip Strength

INTRODUCTION 

By the year 2050, the global population of older adults is projected to reach 2.1 billion (10). As this demographic shift occurs, various risks associated with aging, including falls, cognitive decline, and impaired longevity and quality of life, become increasingly concerning (8, 14, 45). A crucial yet frequently underappreciated factor contributing to falls and other age-related risks is diminished handgrip strength (HGS), which impairs an individual’s capacity to stabilize themselves and prevent injuries (16, 19). Research suggests that HGS is representative of overall body strength (1). Handgrip strength is defined as the maximum amount of force the hand generates when gripping an object. Thresholds for HGS required to perform functional tasks in older adults are estimated at greater than 18.5 kg for females and 28.5 kg for males (2). Beyond serving as a measure of physical strength, HGS is also a strong predictor of longevity and overall quality of life, making it especially relevant in the context of aging (1). Comprehending the relationship between HGS and other fitness components is essential for devising effective strategies to preserve functional independence and enhance quality of life, particularly as the global population experiences unprecedented aging trends.

According to the Centers for Disease Control and Prevention (CDC), falls represent the leading cause of mortality among individuals aged 65 years and older. Annually, approximately 36 million older adults experience falls, with 32,000 cases resulting in fatal outcomes (4). Falls impact the quality of life by jeopardizing health, mobility, and independence. Although multiple factors influence fall risk, prioritizing interventions to improve HGS may offer a practical and impactful approach to reducing the incidence of falls among older adults (24).

In 2016, Szulc and colleagues examined 890 men aged 50 and older, assessing appendicular skeletal muscle mass (ASM), physical function, and HGS (42). Over a 5-year follow-up period, 813 participants aged 60 and above were monitored, of whom 144 experienced multiple falls. Findings from this research investigation revealed that those who sustained Grade 2 or Grade 3 vertebral fractures and multiple fractures had reduced HGS, decreased physical function, and an increased risk of multiple falls (42).

The number of global dementia cases is expected to almost triple from 57.4 million cases in 2019 to 152.8 million in 2050 (17). That said, aging significantly elevates the risk of cognitive decline, potentially leading to a loss of independence and other adverse outcomes. Although many factors are involved in preventing and treating cognitive decline and related illnesses, HGS may play a key role in determining who is at risk for these diseases. Physical impairments, such as diminished HGS, can interact with other factors to amplify the risk of age-related cognitive decline (7, 18). Consequently, investigating the relationship between HGS and cognitive function is essential for addressing the challenges of an aging global population.

In 2022, Orchard et al. evaluated both gait speed and HGS as predictors of cognitive decline and dementia (36). The participants were community-dwelling older adults who were cognitively intact at the onset of the study. Researchers assessed each participant’s 3-meter walk time and measured their HGS. A 4.7-year median follow-up was used to gather data on the prevalence of cognitive decline and dementia among participants. Slower walking gait and low HGS were independently related to an increased incident risk of dementia and cognitive decline. When these variables were combined, slow walking gait and low HGS were associated with a 79% increase in the risk of dementia development and a 43% increased risk of cognitive decline (36).

Precursory research has revealed that a culmination of exercise methods, including resistance training, Vitality Acupunch training program, multi-modal training, and suspension training (ST), can impact the HGS of older adults (2, 3, 10, 21, 23, 25, 26, 44). Among these, ST programs, such as total resistance exercise (TRX), stand out as accessible and adaptable methods. Due to the nature of ST, users possess the unique opportunity to train in several different facets of fitness at differing scalable resistances in a single bout of exercise (27). The suspension training system enables individuals to perform strength exercises adapted to their unique capabilities, offering progressive resistance to facilitate individualized strength development (15, 27).

In 2018, Campa, Silva, and Toselli conducted a study to determine the effects of a 12-week ST intervention on the phase angle and HGS of female older adults. Thirty older women were randomly assigned to either a control or training group. Participants in the control group continued their usual activities throughout the study, while those in the training group underwent a 12-week ST program. Both groups were assessed on various fitness parameters, including HGS. At the conclusion of the study, researchers found that ST promoted improvements in HGS in older women (3).

In 2022, Pierle and associates conducted a study to examine the efficacy of a 6-week ST program on a sample of 11 older individuals (37). The fitness parameters of interest were functional reach, overall balance, body fat, body mass, and HGS. While this study demonstrated improvements in functional reach and overall balance, body fat, body mass, and HGS showed no significant changes. These findings suggest that ST may be an effective exercise modality for enhancing certain aspects of fitness in older adults. However, further investigation is crucial to understand its impact on HGS better and determine whether ST can optimize strength outcomes in this population (37).

Against this backdrop, given the dearth of research examining the effects of ST protocols on HGS and the relationship between HGS and fall prevention, further investigation is imperative to elucidate the potential benefits of ST, especially amongst the older adult population. Therefore, the primary purpose of this study is to fill this critical gap by evaluating the efficacy of a 12-week ST and HGS exercise program in enhancing handgrip strength in this population. The apriori hypothesis posits that significant improvements in HGS will be observed between pre- and post-assessment measurements, underscoring the potential of ST and HGS as a targeted intervention to improve strength and reduce fall risk among older adults.

METHODS 

Participants

Prior to participating in this study, participants were screened using inclusionary and exclusionary criteria. The inclusion requirements included participants who currently exercise, are older than 55 years of age, and are independent of assistive walking devices (e.g., walker, rollator, wheelchair, etc.). The exclusionary criteria included participants not having a medical release form on record, being overwhelmed by the exercise routine, specifically, mild increases in heart rate and blood pressure during exercise, or possessing a pacemaker or other internally implanted device. All participants, therefore, were required to have a medical release to participate. This study was approved by the university’s institutional review board and adhered to the practice of ethical research standards.

All participants were recruited from a local retirement community and were required to report to the Wellness Center onsite for 24 sessions over 12 weeks. Flyers were posted, and those interested were instructed to sign up for an appointment with the principal investigator (PI) to complete the protocol requirements. Participants were encouraged to contact the PI or co-PI by phone or email if any question(s) arose or if any of the requirements remained unclear.

Upon arrival for the pre-assessment session, participants read/signed/dated an informed consent form approved by the University’s Institutional Review Board (IRB) for human subject use (IRB#: H24-0565). Ten females and 2 males (Age = 82.7 ± 4.8 years; Height = 160.7 ± 7.4 cm; Body Mass = 64.2 ± 13.9 kg), completed the 12-week exercise intervention.

Protocol

Once the informed consent was obtained, pre-assessment data was collected. All participants were instructed to remove footwear, socks, and stockings before stepping onto the scale. Height (cm) and body mass (kg) were assessed via Seca 217 Mobile Stadiometer (Model Number 2171821009, USA). The participant’s height and body mass results were displayed and recorded via a data collection sheet. Grip strength was assessed via the Smedley Creative Health Products III Analog Grip Strength Dynamometer (T.K.K. 5001, Japan). Participants were instructed to maintain the standard bipedal position during the entire test with the arm in complete extension and to avoid touching any part of the body with the handgrip dynamometer except the hand being measured. Participants comfortably grasped the handgrip dynamometer and were encouraged to exert maximal grip.

Three trials, with brief pauses, were allowed for each hand alternately. The sum of the highest left and right values was recorded on the data collection sheet. The PI was the lead exercise instructor of the 12-week exercise intervention. The PI took attendance, organized, and provided corrective feedback/instructions during each exercise session. A team of fitness instructors at the retirement community and a research assistant also led these classes by providing feedback to participants and keeping each session organized. The exercise intervention required participants to attend two sessions per week for 12 weeks, with each class being 45 minutes. Attendance was recorded at the start of each class to keep track of the adherence rate. Every session consisted of seven strength training exercises in a circuit style (Table 1), followed by a grip strength series consisting of four exercises (Table 2).

Strength training exercises were advanced every 4 weeks, specifically, progressing from 30-second intervals (first micro-cycle) to 35 seconds (second micro-cycle) to 40 seconds (final micro-cycle). The Farmer’s Carry exercise specifically intensified each micro-cycle, starting with holding one dumbbell each set, then holding one dumbbell each set vertically upright by the head of the weight, and finally holding the head of a dumbbell in each hand. The grip strength series progressed throughout the 12-week intervention, starting with one set of each exercise for 15 seconds per hand in the first 4 weeks and followed by 8 weeks of performing each exercise for two sets of 15 seconds. Each session started with a 5-minute warm-up, followed by 35 minutes of exercise, and concluded with a 5-minute cooldown. The 12-week exercise training intervention took place as a group fitness class in the fitness center of a local retirement community, giving participants the advantage of working with partners for each exercise, increasing accountability and motivation. The TRX suspension training (ST) allowed users to exercise in a customizable and scalable capacity that fits their personal specifications, comfort, and intensity levels (27). Additionally, the PI used a timed-circuit style class versus measuring each exercise based on repetition, allowing participants to perform at their own intensified pace.

Statistical Analysis

A paired samples t-test was employed to assess differences between pre-and post-intervention grip strength. To mitigate the risk of Type I error due to multiple comparisons, a Bonferroni correction was applied, setting the adjusted alpha level at p = 0.025. Effect sizes were calculated using Cohen’s d to assess the practical significance of the findings. 

RESULTS 

The primary objective of this study was to evaluate the efficacy of a 12-week exercise intervention on handgrip strength (HGS) in a population of community-dwelling older adults. Sixteen participants were initially recruited; however, four withdrew during the study, resulting in a final sample size of 12 participants (Age = 82.7 ± 4.8 years; Height = 160.7 ± 7.4 cm; Body Mass = 64.2 ± 13.9 kg; 2 males and ten females). Attendance was monitored at each session, yielding an average adherence rate of 83%. The adherence rate remained consistent throughout this study.

A paired-sample t-test was conducted to assess differences between pre- and post-intervention measurements. A Bonferroni correction was applied to mitigate the risk of Type I errors due to multiple comparisons, resulting in an adjusted alpha level of p = 0.025. Effect sizes were quantified using Cohen’s d, with thresholds of 0.2, 0.5, and >0.8 representing small, medium, and large effects, respectively.

The analysis revealed a statistically significant improvement in right-hand grip strength, which increased from 21.5 ± 1.3 kg at baseline (Week 1) to 23.0 ± 1.4 kg post-intervention (Week 12, p = 0.006). In contrast, no statistical improvement was observed for left-hand grip strength (20.2 ± 1.2 kg to 21.1 ± 1.5 kg, p = 0.12). The effect size for right-hand grip strength was large (d = 0.99), whereas the left-hand grip strength demonstrated a moderate effect (d = 0.48). Detailed results are presented in Table 3.

DISCUSSION 

Limited research exists with respect to investigating sustained strength training (ST) programs and handgrip strength (HGS) in older adults (12, 23). Therefore, the primary purpose of this study was to determine the efficacy of a 12-week ST and HGS exercise program in a community-dwelling older adult population. The researchers hypothesized a statistically significant improvement in HGS between pre- and post-assessment data. At the conclusion of the 12-week ST and HGS exercise program, right-HGS improved significantly and demonstrated a large effect size, while the left hand showed a moderate but non-significant change. These findings suggest that a 12-week suspension training exercise program may enhance grip strength and potentially improve functional independence and reduce fall risk in older adults. However, additional research is needed to fully understand these effects and any differences between dominant and non-dominant hands.

 In 2018, a research study was conducted by Campa and colleagues in which the participants were divided into two groups: 1) 12-week ST exercise group and 2) control group that maintained their usual daily activity (3). Both groups of participants underwent pre-and post-tests, evaluating several fitness components, including HGS. Findings from the current research study and the study by Campa et al. (3) revealed both shared and contrasting results in how structured exercise interventions affect HGS in older adults. More precisely, both studies reported statistically significant HGS improvements following their 12-week interventions. The current research study observed an increase in right-hand grip strength from 21.5 ± 1.3 kg to 23.0 ± 1.4 kg, equating to an approximate 7.0% improvement. Similarly, Campa et al. (3) reported an increase in dominant-hand HGS from 38.2 ± 9.7 kg to 40.1 ± 9.0 kg, reflecting a significant 4.97% improvement. Both findings confirm the efficacy of a 12-week exercise program in promoting upper-body strength among older adults. Notably, both studies targeted older adults, with the current study involving a mixed-gender cohort (mean age 82.7 years) and Campa et al. (3) focusing on men with a mean age of 67.4 years. Despite this approximate 15-year age difference, the consistency in outcomes underscores the adaptability of exercise interventions across different subsets of older adults. Both research studies spanned 12 weeks, suggesting that this time frame is sufficient to elicit measurable improvements in muscular strength. Given these similarities, improvements in HGS in both studies align with broader health and functional benefits. Because HGS is a well-established predictor of overall physical health (29, 35), these findings highlight the role of resistance-based interventions in enhancing the quality of life and functional independence among older adults.

While both studies displayed shared findings, it was noted that the baseline mean HGS of the current study was strikingly lower (21.5 ± 1.3 kg) compared to Campa et al.’s (3) sample group (38.2 ± 9.7 kg). This discrepancy may be due to the age difference of about 15 years, which more than likely contributed to variations in baseline physical fitness and adaptive capacity. Older adults often experience diminished neuromuscular responsiveness and muscle plasticity (7, 32).

To summarize, the current research study and Campa et al.’s (3) study demonstrate significant improvements in HGS following 12-week exercise programs, reinforcing the utility of structured ST in mitigating age-related strength decline. Both studies provide compelling evidence that targeted interventions can yield functional strength gains in older populations regardless of modality. However, the differences in participant demographics highlight the influence of baseline fitness levels and age on HGS outcomes.

The results from a study by Gaedtke and Morat (16) also revealed results like those of the current study. Eleven older adults (Mean Age = 66.0 ± 4.0 yrs) participated in a 12-week TRX-OldAge training program, composed of seven exercises progressing through multiple stages of difficulty. The intervention method utilized TRX equipment, shared by Gaedtke and Morat (16) and the current study. Both studies also had similar sample sizes and durations, spanning 12 weeks. The results displayed within Gaedtke and Morat’s (16) research study share thematic similarities with the current research in demonstrating improvements in HGS. Both studies emphasize the potential of targeted programs to enhance functional strength, which is critical for maintaining independence and reducing the risk of falls in aging populations. Specifically, the current research reported a 7.0% increase in right-hand grip strength, showcasing the tangible benefits of a 12-week intervention. Similarly, participants in Gaedtke and Morat’s (16) study subjectively reported strength gains as the most notable improvement following the TRX-OldAge program. However, Gaedtke and Morat (16) did not provide quantifiable pre- and post-assessment metrics for HGS, which limits direct comparisons. While participant feedback highlights strength improvements, the lack of quantifiable data undermines the ability to assess the efficacy of the intervention, specifically on grip strength. This limitation in Gaedtke and Morat’s (16) study underscores the importance of incorporating quantifiable assessments in future investigations to validate self-reported outcomes and to draw more substantial comparisons with similar studies. Regardless, given the vast similarities between the two research studies, it is evident that a TRX-related exercise regime conducted for 12 weeks does enhance muscular strength in older individuals.

In a study conducted by Skelton et al. (41), a 12-week progressive ST intervention was implemented to assess its effects on the strength, power, and functionality of women aged 75 and older (41). The intervention included three exercise sessions per week, with two sessions conducted at home and one in a group setting. The additional day of exercise, as well as the inclusion of home exercise sessions, differs from the current study, which took place twice a week in a group fitness class setting. While the exercises did not mimic the functional tests entirely, each session was tailored to work the specific muscles relevant for functional tasks. Exercises were performed in three sets of four to eight repetitions, using rice bags and elastic bands for resistance. An assortment of pre- and post-assessments were conducted, including a HGS test, resembling the current study.

Despite these methodological differences, Skelton and colleagues (41) demonstrated increases in HGS, which aligns with the improvements observed in the current research study. In Skelton et al.’s (41) 12-week progressive resistance training program, participants experienced a significant 4% increase in HGS, from a pre-training mean of 21.6 ± 3.4 kg to a post-training mean of 22.3 ± 3.9 kg. This outcome parallels findings from the current research study, whereby a significant 7% improvement in HGS was observed. This supports the notion that 12 weeks of functional resistance training may improve HGS amongst a sample of older individuals.

A potential explanation for the greater improvement in HGS observed in the current study may be the focused, grip-specific training regimen utilized. Skelton et al.’s (41) training program, while progressive and resistance-based, did not include exercises that mimicked or directly engaged the musculature required for grip strength improvement. Instead, the program targeted broader functional movements, such as knee extensors, elbow flexors, and other large muscle groups. This specificity likely contributed to the larger improvement in grip-related performance observed in the current study.

Because the current study partially mimicked and addressed some of the limitations of Pierle and colleagues (37), detailed comparative results will be described. Pierle et al. (37) evaluated the efficacy of a 6-week ST intervention on multiple fitness components of older adults (37). This intervention consisted of 1-2 sets of 8 ST exercises performed twice a week. At the conclusion of this study, participants showed improvements in several fitness and functional areas. In contrast to the current study, Pierle et al. (37) did not observe improvements in HGS.

In the current study, participants demonstrated a statistically significant improvement in right-HGS following a 12-week intervention. Pre-assessment HGS for the right hand was 21.5 ± 1.3 kg, which increased to 23.0 ± 1.4 kg, reflecting a 7.0% improvement and a large effect size (d = 0.99). Conversely, left-hand HGS exhibited a smaller, non-significant increase from 20.2 ± 1.2 kg to 21.1 ± 1.5 kg (4.5% improvement, d = 0.48). Comparatively, Pierle et al. (37) observed no statistically significant changes in HGS, with pre-assessment values averaging 22.4 ± 1.9 kg and post-assessment values averaging 22.8 ± 1.8 kg. The effect size (d = 0.03) was minimal, indicating negligible gains in grip strength.

The differences in duration and intervention may explain this disparity in findings. For instance, the intervention in Pierle et al.’s (37) study lasted for 6 weeks, with two sessions per week, totaling 12 training sessions. This short duration may have limited the time available for participants to experience significant neuromuscular adaptations, such as improved motor unit recruitment and muscle hypertrophy, which are crucial for strength gains (6, 33). In contrast, the current study required participants to exercise for 12 weeks, providing twice the intervention time, therefore allowing for a more progressive overload and adaptation. The longer program likely facilitated more robust changes in muscle strength, particularly in the dominant hand. Previous research documents that strength improvements, particularly in older adults, rely on consistent and prolonged exposure to resistance-based stimuli to elicit meaningful neuromuscular adaptations (9, 20).

Another potential reason for the difference in findings is the modality and specificity of exercises. Pierle and colleagues’ study (37) focused on general ST, which emphasized functional movements, overall balance, core stability, and flexibility but did not prioritize grip-intensive exercises. In contrast, the current study employed targeted resistance and isometric exercises specifically designed to enhance HGS, ensuring a more direct focus on grip-related adaptations. Previous research has shown that exercise modality plays a critical role in the specificity of adaptations (15, 21). The lack of direct HGS training in Pierle et al.’s (37) protocol likely limited the magnitude of HGS improvements compared to the current research study.

The current study displayed a statistically significant improvement in right-HGS. While no statistically significant improvement was observed in left-HGS. While said findings were unanticipated, previous research investigations have displayed similar asymmetrical findings (22, 30, 43). In 2008, Thomas & Sahlberg recruited 41 college-aged males and females to complete an 8-week resistance training protocol with the aim of enhancing HGS. Data revealed by Thomas and Sahlberg (2008) align closely with the current investigation in demonstrating significant improvements in right-hand HGS, while no significant changes were observed in the left-hand HGS. In Thomas and Sahlberg’s (43) study, participants in the training group exhibited a statistically significant increase in right-hand HGS (32.9 ± 8.6 kg to 35.5 ± 7.6 kg) over an 8-week general resistance training intervention. However, the left-hand HGS showed no significant changes (30.7 ± 8.4 kg and 30.2 ± 6.0 kg). Similarly, the current research reported a statistically significant improvement in right-hand HGS (21.5 ± 1.3 kg to 23.0 ± 1.4 kg) but observed no significant change in left-hand HGS, which increased only marginally from 20.2 ± 1.2 kg to 21.1 ± 1.5 kg.

The consistency between these studies highlights the tendency for dominant-hand HGS to exhibit greater responsiveness to resistance training interventions. Both studies emphasize the role of hand dominance in determining training outcomes, with dominant hands showing significant strength gains due to frequent daily use and greater neuromuscular efficiency (5, 39). Conversely, the non-dominant hand may require more targeted stimuli to achieve comparable improvements, as evidenced by the lack of significant HGS gains in the left hand in both studies (13, 40). These findings emphasize the importance of tailoring training programs to address asymmetries and maximize bilateral strength development.

In 2019, Labott and colleagues conducted a comprehensive meta-analytical review to evaluate the effects of various exercise interventions on HGS in older adults. The review analyzed 24 research articles involving 3,018 participants with a mean age of 73.3 years (22), focusing on interventions ranging from resistance training to multimodal programs. While the findings revealed small but statistically significant improvements in HGS overall, the results emphasized a common trend across studies to the extent that greater responsiveness in right-hand HGS compared to the left-hand HGS. These authors concluded that task-specific and multimodal training interventions often yielded measurable gains in dominant hand strength, as this hand benefits from more frequent use and neuromuscular efficiency in daily activities. In contrast, left-hand HGS frequently displayed minimal or no significant change, reflecting the need for targeted stimuli to elicit comparable adaptations in the non-dominant hand. The review highlights this asymmetry as a recurring observation in HGS research, reinforcing the importance of tailored interventions to address disparities between dominant and non-dominant hand strength (5,22).

Although no statistically significant improvement was observed in left-hand HGS among participants in the current study, the practical implications of the findings should not be overlooked. A mean increase of 1.1 kg (4%) represents a meaningful real-world difference, particularly within aging populations. For older adults, even modest improvements in HGS can translate into enhanced functional capacity, better mobility, fall mitigation, greater independence in activities of daily living, and improved overall quality of life (11, 22, 28, 31, 38, 46). Moreover, from an applied perspective, a 4% increase in left-hand HGS may provide critical support in scenarios requiring quick reflexive actions, such as maintaining balance or catching oneself during a fall (28, 34). This seemingly minor improvement could make a significant difference in preventing injury and maintaining mobility, highlighting the value of targeted interventions to enhance HGS, even in cases where statistical significance is not achieved.

There were several limitations to this study that may have impacted the results. The small sample size (n = 12) and the low male participation in this study may have stifled the results from reaching their full expression. Future studies would benefit from a larger and more gender-balanced sample to enhance the generalizability of findings. Additionally, an increased sample size would allow for a control group to be utilized, bolstering the findings of future studies. Adherence to the 12-week intervention proved difficult as it slowly declined by 17% throughout the study, as many participants had busy schedules and prior commitments that interfered with consistent session attendance. Future studies may consider methods to improve adherence, such as scheduling flexibility or at-home modifications. Longer intervention durations may yield more robust findings, as 12 weeks might not have allowed the intervention to reach its full potential. Confounding variables, such as diet, sleep, and baseline activity levels, were not accounted for and may have influenced the results. Tracking these variables in future studies could provide additional insights into their potential impact.

As individuals age, their priorities often shift toward improving quality of life, extending longevity, and maintaining functional independence. Because HGS directly impacts these aspects of healthy aging, its maintenance, or better yet, improvement, should remain a priority in interventions targeting older adults. The intention of this study was to discover the efficacy of a 12-week ST exercise intervention on the HGS of older adults and underscore its importance for healthy aging. The current study revealed a statistically significant improvement in right-HGS, whereas no significant improvement was observed in left-HGS. Future research should evaluate asymmetrical HGS, as this was not an anticipated finding. Additionally, further research should investigate ST in older adult populations, addressing the limited existing evidence on its efficacy in this demographic.

CONCLUSION 

Findings from this study suggest that the 12-week ST and HGS exercise regime was statistically and practically effective in increasing overall HGS in older adults. These findings may serve as valuable guidance for fitness instructors, physical therapists, and other allied healthcare professionals working with older adults. Integrating ST exercises and HGS-specific exercises results in improved HGS, an essential component of maintaining functional independence as individuals age. Utilizing the TRX system for this intervention provided unique advantages, as the exercises were simple to perform and customizable to each participant.

PRACTICAL APPLICATIONS

Implementing an exercise program focusing on HGS has broader implications, as HGS correlates with improved quality of life, longevity, and reduced risk of falls. Allied healthcare professionals working with older adult populations should educate their patients on the importance of HGS and adopt intentional HGS-focused exercises into their regimens. In doing so, they can help mitigate age-related functional decline and promote better outcomes for aging individuals.

ACKNOWLEDGMENTS

The author would like to personally thank the health and wellness team at Carolina Bay at Autumn Hall: Shannon Hardy and Madison Norris.

The author would also like to thank the Center for the Support of Undergraduate Research and Fellowships for their generous contributions.

REFERENCES 

  1. Attia, P. (2022, July 30). Avoiding Injury Part II: Grip Strength. Peter Attia MD. https://peterattiamd.com/avoiding-injury-part-ii-grip-strength/
  2. Bohannon, R.W. (2019). Grip strength: an indispensable biomarker for older adults. Clinical Interventions in Aging, 14, 1681–1691. https://doi.org/10.2147/CIA.S194543
  3. Campa, F., Silva, A., & Toselli, S. (2018). Changes in phase angle and handgrip strength induced by suspension training in older women. International Journal of Sports Medicine, 39(06), 442–449. https://doi.org/10.1055/a-0574-3166
  4. Centers for Disease Control and Prevention. (2022, June 9). Keep on your feet-preventing older adult falls. Centers for Disease Control and Prevention. https://www.cdc.gov/falls/about/?CDC_AAref_Val=https://www.cdc.gov/injury/features/older-adult-falls/index  
  5. Chapman, J. A., & Henneberg, M. (1999). Switching the handedness of adults: Results of 10 weeks training of the non-dominant hand. Perspectives in Human Biology, 4(1), 211–217. https://www.researchgate.net/publication/233726410
  6. Christie, A., & Kamen, G. (2010). Short-term training adaptations in maximal motor unit firing rates and afterhyperpolarization duration. Muscle & Nerve, 41(5), 651–660. https://doi.org/10.1002/mus.21539
  7. Clark, D.J., & Fielding, R.A. (2012). Neuromuscular contributions to age-related weakness. Journals of Gerontology: Series A, 67(1), 41–47. https://doi.org/10.1093/gerona/glr041
  8. Clark, S., Parisi, J., Kuo, J., & Carlson, M. C. (2016). Physical Activity Is Associated With Reduced Risk of Executive Function Impairment in Older Women. Journal of aging and health28(4), 726–739. https://doi.org/10.1177/0898264315609908
  9. Conlon, J.A., Newton, R.U., Tufano, J.J., Peñailillo, L.E., & Banyard, H.G. (2017). The efficacy of periodised resistance training on neuromuscular adaptation in older adults. European Journal of Applied Physiology, 117(1), 137–149. https://doi.org/10.1007/s00421-017-3605-1
  10. Cunningham, C., O’ Sullivan, R., Caserotti, P., & Tully, M.A. (2020). Consequences of physical inactivity in older adults: a systematic review of reviews and meta-analyses. Scandinavian Journal of Medicine & Science in Sports, 30(5), 816–827. https://doi.org/10.1111/sms.13616
  11. Damush, T.M., & Damush, J.G. Jr. (1999). The effects of strength training on strength and health-related quality of life in older adult women. The Gerontologist, 39(6), 705–710. https://doi.org/10.1093/geront/39.6.705
  12. Domingues, L.B., Schneider, V.M., & Abreu, R.F. (2024). Effects of a 4-week detraining period after 12 weeks of combined training using different weekly frequencies on health-related physical fitness in older adults. International Journal of Environmental Research and Public Health, 21(11), 1433. https://doi.org/10.3390/ijerph21111433
  13. Dunn, A.M. (2017). Non-dominant arm training improves functional performance and modifies spontaneous arm selection. Penn State University Libraries Theses and Dissertations. Retrieved from https://etda.libraries.psu.edu/catalog/13597amd460
  14. Fritz, N. E., McCarthy, C. J., & Adamo, D. E. (2017). Handgrip strength as a means of monitoring progression of cognitive decline – A scoping review. Ageing research reviews35, 112–123. https://doi.org/10.1016/j.arr.2017.01.004
  15. Fyfe, J.J., & Loenneke, J.P. (2018). Interpreting adaptation to concurrent compared with single-mode exercise training: Some methodological considerations. Sports Medicine, 48(2), 289–297. https://doi.org/10.1007/s40279-017-0812-1
  16. Gaedtke, A. & Morat, T. (2015). TRX suspension training: a new functional training approach for older adults – development, training control and feasibility.” International Journal of Exercise Science, 8(3), 224–233.
  17. GBD 2019 Dementia Forecasting Collaborators (2022). Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. The Lancet. Public health7(2), e105–e125. https://doi.org/10.1016/S2468-2667(21)00249-8
  18. Gudlaugsson, J., Gudnason, V., Aspelund, T., Siggerirsdottir, K., Olafsdottir, A.S., Jonsson, P.V., Arngrimsson, S.A., Harris, T.B., & Johannnsson, E. (2012). Effects of a 6-month multimodal training intervention on retention of functional fitness in older adults: a randomized-controlled cross-over design. International Journal of Behavioral Nutrition and Physical Activity, 9(107). https://doi.org/10.1186/1479-5868-9-107
  19. Haider, S., Luger, E., Kapan, A., Titze, S., Lackinger, C., Schindler, K.E., & Dorner, T.E. (2016). Associations between daily physical activity, handgrip strength, muscle mass, physical performance and quality of life in prefrail and frail community-dwelling older adults. Quality of Life Research, 25(12). https://doi.org/10.1007/s11136-016-1349-8
  20. Häkkinen, K., Alen, M., Kallinen, M., Newton, R.U., & Kraemer, W.J. (2000). Neuromuscular adaptation during prolonged strength training, detraining, and re-strength-training in middle-aged and elderly people. European Journal of Applied Physiology, 83(1), 51–62. https://doi.org/10.1007/s004210000248
  21. Isner-Horobeti, M.E., Dufour, S.P., Vautravers, P., & Geny, B. (2013). Eccentric exercise training: Modalities, applications, and perspectives. Sports Medicine, 43(6), 483–512. https://doi.org/10.1007/s40279-013-0052-y
  22. Labott, B.K., Bucht, H., Morat, M., Morat, T., & Donath, L. (2019). Effects of exercise training on handgrip strength in older adults: A meta-analytical review. Gerontology, 65(6), 686–696. https://doi.org/10.1159/000501203
  23. Leitão, L., Campos, Y., Louro, H., & Figueira, A.C.C., Figueiredo, T., Pereira, A., Conceicao, A., Marinho, D.A., & Neiva, H.P. (2024). Detraining and retraining effects from a multicomponent training program on the functional capacity and health profile of physically active prehypertensive older adults. Healthcare, 12(2), 271. https://doi.org/10.3390/healthcare12020271
  24. Liu, H., Hou, Y., Li, H., & Lin, J. (2022). Influencing factors of weak grip strength and fall: A study based on the China Health and Retirement Longitudinal Study (CHARLS). BMC Public Health, 22(1), 2337. https://doi.org/10.1186/s12889-022-14753-x
  25. López-Bueno, R., Andersen, L. L., Koyanagi, A., Núñez-Cortés, R., Calatayud, J., Casaña, J., & Del Pozo Cruz, B. (2022). Thresholds of handgrip strength for all-cause, cancer, and cardiovascular mortality: A systematic review with dose-response meta-analysis. Aging Research Reviews, 82, 101778. https://doi.org/10.1016/j.arr.2022.101778
  26. Mayer, F., Scharhag-Rosenberger, F., Carlsohn, A., Cassel, M., Muller, S., & Scharhag, J. (2011) The intensity and effects of strength training in the elderly. Deutsches Ärzteblatt International, 108(21), 359-364. https://doi.org/10.3238/arztebl.2011.0359
  27. McDaniel, A. T., Heijnen, M. J. H., Kawczynski, B., Haugen, K. H., Caldwell, S., Campe, M. M., Conley, E. C., & Tseh, W. (2023). Efficacy of Army Combat Fitness Test 12-Week Virtual Exercise Program. Military medicine, 188(7-8), e2035–e2040. https://doi.org/10.1093/milmed/usac364
  28. McGrath, R., Clark, B. C., Cesari, M., & Johnson, C. (2021). Handgrip strength asymmetry is associated with future falls in older Americans. Aging Clinical and Experimental Research, 33(9), 2461-2469. https://doi.org/10.1007/s40520-020-01757-z
  29. McGrath, R. P., Kraemer, W. J., Snih, S. A., & Peterson, M. D. (2018). Handgrip strength and health in aging adults. Sports Medicine, 48(5), 1059–1062. https://doi.org/10.1007/s40279-018-0952-y
  30. McGrath, R., Lang, J., Clark, B.C., Cawthon, P.M., Black, K., Kieser, J., Fraser, B.J., & Tomkinson, G.R. (2023). Prevalence and trends of handgrip strength asymmetry in the United States. Advances in Geriatric Medicine and Research, 5(2), e230006. https://doi.org/10.20900/agmr20230006
  31. McGrath, R., Vincent, B.M., Hackney, K.J., Robinson-Lane, S.G., Downer, B., & Clark, B.C. (2020). The longitudinal associations of handgrip strength and cognitive function in aging Americans. Journal of the American Medical Directors Association, 21(6), 634-639.e1. https://doi.org/10.1016/j.jamda.2019.08.032
  32. McNeil, C.J., & Rice, C.L. (2018). Neuromuscular adaptations to healthy aging. Applied Physiology, Nutrition, and Metabolism, 43(4), 307–317. https://doi.org/10.1139/apnm-2018-0327
  33. Moritani, T. (1993). Neuromuscular adaptations during the acquisition of muscle strength, power, and motor tasks. Journal of Biomechanics, 26(1), 95–107. https://doi.org/10.1016/0021-9290(93)90082-P
  34. Neri, S.G.R., Lima, R.M., Ribeiro, H.S., & Vainshelboim, B. (2021). Poor handgrip strength determined clinically is associated with falls in older women. Journal of Frailty, Sarcopenia and Falls, 6(2), 43-49. https://doi.org/10.22540/JFSF-06-043
  35. Norman, K., Stobäus, N., Gonzalez, M.C., Schulzke, J.D., & Pirlich, M. (2011). Hand grip strength: Outcome predictor and marker of nutritional status. Clinical Nutrition, 30(2), 135–142. https://doi.org/10.1016/j.clnu.2010.09.010
  36. Orchard, S.G., Polekhina, G., Ryan, J., Shah, R.C., Storey, E., Chong, T.T., Lockery, J.E., Ward, S.A., Wolfe, R., Nelson, M.R., Reid, C.M., Murray, A.M., Espinoza, S.E., Newman, A.B., McNeil, J.J., Collyer, T.A., Callisaya, M.L., Woods, R.L., & ASPREE Investigator group. (2022). Combination of gait speed and grip strength to predict cognitive decline and dementia. Alzheimer’s & Dementia, 14(1), e12353. https://doi.org/10.1002/dad2.12353
  37. Pierle, C., McDaniel, A.T., Schroeder, L.H., Heijnen, M.J.H., & Tseh, W. Efficacy of a 6-Week suspension training exercise program on fitness components in older adults. International Journal of Exercise Science, 15(3), 1168–78, https://doi.org/10.70252/GPEB7735
  38. Santanasto, A.J., Glynn, N.W., Lovato, L.C., Blair, S.N., Fielding, R.A., Gill, T.M., Guralnik, J.M., Fang-Chi, H., King, A.C., Strotmeye, E.S., Manini, T.M., Marsh, A.P., McDermott, M.M., Goodpaster, B.H., Pahor, M., Newman, A.B., & LIFE Study Group. (2017). Effect of physical activity versus health education on physical function, grip strength and mobility. Journal of the American Geriatrics Society, 65(7), 1427–1433. https://doi.org/10.1111/jgs.14804
  39. Sarikaya, P.M., Incel, N.A., Yilmaz, A., & Cimen, O.B. (2017). Effect of hand dominance on functional status and recovery of hand in stroke patients. Science, 6(3), 39-45. https://doi.org/10.11648/j.sjcm.20170603.12
  40. Shiba, J., & Lizarraga, J. (2020). The effects of laterality card training on non-dominant hand grip strength compared to traditional hand grip strengthening exercises. ProQuest Dissertations. Retrieved from https://search.proquest.com/openview/d14677df9d3c3a2d1f3227defc22bc9f/1
  41. Skelton, D.A., Young, A., Greig, C.A., & Malbut, K.E. (1995) Effects of resistance training on strength, power, and selected functional abilities of women aged 75 and older. Journal of the American Geriatrics Society, 43(10), 1081–1087. https://doi.org/10.1111/j.1532-5415.1995.tb07004.x
  42. Szulc, P., Feyt, C., & Chapurlat, R. (2016). High risk of fall, poor physical function, and low grip strength in men with fracture-the STRAMBO study. Journal of Cachexia, Sarcopenia and Muscle, 7(3), 299–311. https://doi.org/10.1002/jcsm.12066
  43. Thomas, E.M., & Sahlberg, M. (2008). The effect of resistance training on handgrip strength in young adults. Isokinetics and Exercise Science, 16(3), 159–165. https://doi.org/10.3233/IES-2008-0307
  44. Tung, H., Chen, K., Chou, C., Belcastro, F., Hsu, H., & Kuo, C. (2023). Acupunch exercise improved muscle mass, hand grip strength, and sleep quality of institutional older adults with probable sarcopenia. Journal of Applied Gerontology, 42(5), 888–97. https://doi.org/10.1177/07334648221141413
  45. Watermeyer, T., Massa, F., Goerdten, J., Stirland, L., Johansson, B., & Muniz-Terrera, G. (2021). Cognitive dispersion predicts grip strength trajectories in men but not women in a sample of the oldest old without dementia. Innovation in Aging, 5(3), igab025. https://doi.org/10.1093/geroni/igab025
  46. Winger, M.E., Caserotti, P., Cauley, J.A., Boudreau, R.M., Piva, S.R., Cawthon, P.M., Orwoll, E.S., Ensrud, K.E., Kado, D.M., Strotmeyer, E.S., & Osteoporotic Fractures in Men (MrOS) Research Group (2023). Lower leg power and grip strength are associated with increased fall injury risk in older men: the osteoporotic fractures in men study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 78(3), 479–485. https://doi.org/10.1093/gerona/glac122

2025-05-23T11:26:33-05:00June 13th, 2025|Research, Sport Education, Sport Training, Sports Coaching, Sports Exercise Science, Sports Health & Fitness, Sports Medicine|Comments Off on Efficacy of 12-Week Handgrip Strength Training Program Amongst Older Adults: A Pilot Study 

The Association Between Pitch Accuracy and Batter Outcomes in Major League Baseball

Authors: Benjamin E. Napoli,1 Daniel A. Napoli,1 Anthony M. Napoli MD MHL1, Timmy R Lin PhD1, Macall S. Robertson JD, Jason Machan PhD,1 Janette Baird PhD1

1Department of Emergency Medicine, Alpert Medical School of Brown University

Editor’s Note: This article’s formatting was corrected on July 8, 2025. All tables, figures, and appendices are now present in the article.

Abstract

Purpose: Pitch speed is considered synonymous with pitching success. In years past, the accuracy of a pitch was paramount but in recent years this has been deprioritized as compared with pitch speed. Over the years, batters have adapted to higher pitching speeds so pitch strategy and placement may be more important.  Our hypothesis was that pitching accuracy associated with intended pitch location would be a significant factor in pitching success in Major League Baseball (MLB).  

Methods: To study this, we studied multiple facets of a pitch, including pitch accuracy, to assess the association between pitch accuracy and batter outcome in over 1000 at bats in over 20 randomly selected games during the 2022 MLB season.  Our primary goal was to determine if there was an association between pitch accuracy, after controlling for confounders, and batting average against (BAA) and slugging percentage (SLG). 

Results: We found that at bats in which the last pitch hit the intended spot reduced batter success by greater than 50%.  Higher pitching speed was not associated with success partly because it was associated with lower accuracy. If a pitch was accurate, after adjusting for other variables, it was 3.28 times more likely to be successful. 

Conclusions: This study demonstrates that pitching accuracy is a highly important skill in determining the success of pitchers, beyond that of other traditional pitching features.  Future studies to automate this work and integrate machine learning and predictive modeling could be used to optimize pitcher success or identify the most accurate pitchers.

Applications in Sport: This study demonstrates that pitching accuracy is a critical determinant of success in Major League Baseball (MLB), with accurate pitches reducing batter success rates, including batting average and slugging percentage, by over 50%. While pitch speed has traditionally been prioritized, this research highlights that accuracy has a far greater impact on outcomes, as accurate pitches are more than three times as likely to succeed. These findings challenge the current emphasis on velocity, suggesting that focusing on accuracy could optimize performance and reduce injury risks for pitchers.

Introduction:

In recent years, hitting and pitching analytics have been used extensively to study talent and study what makes a successful pitcher or hitter. For pitchers, these features can include pitch movement, pitcher mechanics,(Manzi et al., 2022) pitch selection, pitch types, and spin rate.(Whiteside et al., 2016)  While pitch speed has continued to increase(Cooper, 2020) and batters have adjusted, these other features become increasingly important.  An ideal pitcher would have peak velocity and accuracy but having both is not easy to obtain.(Venkadesan & Mahadevan, 2017) 

Pitch accuracy in common baseball parlance is often referred to as whether the pitcher “hits his spot.”  Hitting or missing the spot refers to the intended pitch location indicated by the catcher.  Before each pitch, catchers set their glove for the intended pitch location.  While there are some observational studies of pitch accuracy over different levels of baseball,(Kawamura et al., 2017) in the modern era there is no published study to indicate just how much of an effect accurate pitching has on batter performance.

Our hypothesis was that a significant difference in hitter outcomes will exist between pitchers who “hit his spot” (are within 6 inches of the intended pitch location) and those who do not.  A secondary outcome of our study was to examine whether pitch accuracy had a greater association with batter outcome than pitch selection, location, or speed.

Methods:

This was a retrospective study of 17 randomly selected games during the 2022 Major League Baseball (MLB) Season.  Investigators used a pre-specified Google Form (Mountain View, CA) with all key pitcher, pitch, and batter outcomes identified.  The investigators documented the outcome of the last pitch of each at bat.  This is consistent with current MLB methods of determining measures like batting average against (BAA) as it is the only pitch in the at bat in which the batter is forced to make a decision that will result in an at bat outcome. BAA and Slugging Percentage (SLG) were calculated using standardly accepted methodology (BAA = H/AB; SLG = (1B + 2Bx2 + 3Bx3 + HRx4)/AB).

An a priori sample size estimate based upon an estimated effect size of a 20-point decrease in BAA indicated a need to study approximately 1700 at bats.  An interim analysis of effect was planned at 500 and 1000 at bats. One game from each MLB team’s 2022 season was randomly selected until the study was complete.  Data abstractors were blind to the study results.  Data collection included pitcher handedness, pitch speed, intended pitch location, pitch type, and outcome.  As is customary for measuring BAA, only the last pitch of an at bat was used in this study.  

Our primary outcome was to demonstrate that a significant difference will exist between accurate pitches, “hit his spot” (estimated to be within 6 inches of the intended pitch location) and inaccurate pitches (“missed his spot”).  The secondary outcomes were to study if pitch speed, pitch selection, or pitch location had an impact on pitcher success.  Statistical analysis was done using SAS 9.4 (Cary, N.C.). We report on median with interquartile range (IQR) and proportions with 95% confidence intervals (95% CI).  Direct comparisons of unadjusted data were completed using a Chi-square test for proportions while a logistic regression was used to adjust for all variables associated with pitching accuracy.  A definitions table can be found in the Appendix due to the number of abbreviated outcomes.   

Results:

Primary Outcome:

The results of the interim analysis at 1000 at bats demonstrated a significant effect of pitch accuracy on BAA and SLG.   Of these 1000 at bats, represented by 17 randomly selected MLB games, the pitching accuracy was 45.3% (95% CI: 42.2% – 48.4%) and median pitch speed was 91 (IQR: 85 – 94) miles per hour.  The top three pitch types thrown were the fastball (31.8%), sinker (21.4%), and slider (19.5%) [Table 1].  Nearly 66% of pitches targeted low in the zone [Table 2]. Overall outcome (BAA and SLG) as it relates to pitch accuracy can be found in Table 3. 

Unadjusted analysis for the primary outcome of BAA and SLG demonstrated pitch accuracy was a significant predictor of pitcher success.  At bats ending in a pitch that hit the intended spot reduced batter success by greater than 50%; accurate pitches resulted in a BAA and SLG of 0.166 and 0.343 vs. 0.262 and 0.558 for inaccurate pitches, p<0.01.   If a pitcher hits his spot, after adjusting for other variables, he was 3.28 times more likely to be successful. No other variable was significantly associated with the pitcher success in the adjusted model (Table 4).

Table 3: Pitch Accuracy and Batter Outcome

*See Appendix for index of abbreviations

Secondary Outcome

There was no relationship between pitch speed and accuracy though pitchers who threw in the 80’s miles per hour (mph) appeared more likely to be accurate than those in the 90’s mph [Figure 1]. There was no statistically significant difference in pitch accuracy and BAA or SLG between left-handed pitchers and right BAA and SLG as they relate to pitch type and pitch location can be found in Tables 5 and 6, respectively.

Unadjusted analysis demonstrated that sliders had the lowest BAA (0.190), while changeups had the highest (0.293) [Table 5]. Higher pitching speed was not significantly associated with preventing a hit (χ2 (5) = 9.9, p=.08) but was significantly associated with lower accuracy (χ2 (5) = 13.2, p=.02).  No other pitcher variable other than accuracy of intended location was significantly associated with pitcher success. 

Assuming an accurate pitch, then high-in (2.02) and high-middle (2.96) pitches were significantly more likely to be successful at hitting the spot than baseline comparison (middle-middle). All off-speed pitches except for curveballs were significantly more likely to be successful than their baseline comparator (the fastball) with odds ratios ranging from 1.6 (sinker) to 2.8 (slider) [Table 8].

Discussion:  

Success in pitching is a combination of many different features, including game situation, the batter, the pitcher, and the pitch.  However, pitch accuracy has always been considered one of the most important features of a pitcher until recently when much of the attention has turned to pitch speed.  This study sought to investigate the impact of pitching accuracy, specifically the ability to hit the location of an intended pitch, on the success of pitchers in MLB games.  While many features of a pitch can affect the outcome, few of them (if not none in our study) have the impact that accuracy has on batter outcome.  In fact, our study indicates an unadjusted reduction of nearly 50% in batting average and slugging percentage when pitchers hit their intended location with an adjusted odds ratio of 3.28.          

Sports analytics is a $2.7B industry that is expected to have a compound annual growth rate of more than 20% over the next ten years.(Research, 2022)  The sport of baseball has been one of the earliest adopters and the clearest example of successful use of baseball analytics. Though baseball is considered a team sport, it is in fact a series of sequential events and therefore lends itself to more precise statistical analyzation.(Bechtold, 2023)  This has led to the rise of slow-motion video, new metrics for pitch movement and success, and the development of whole analytics departments in all MLB teams.  This information has given rise to pitch location analysis, enhanced studying of the influence of framing of pitches by catchers, profiles of pitch spin and movement, comparative pitching analytics, and even the possibility of machine learning and predictive analytics for pitching. 

The success of a pitcher is affected by so many features of the pitcher and the batter.  In the pitcher alone, features like pitch speed, spin rate, and selection are important.(Manzi et al., 2022)  Even pitcher mechanics has an effect on pitch accuracy.(Venkadesan & Mahadevan, 2017)  Pitching mechanics gets refined over time and studies indicate pitchers have greater accuracy at higher performance levels.(Kawamura et al., 2017)  However, it is hard to quantify the importance of each of these features.   The common belief is that pitch speed dominates all other features of pitcher success.  However, one study that incorporated pitch speed was only able to show that the combination of pitch speed, refined special pitch release location, and variation in pitch selection accounted for only 22% of the variance in pitcher performance.(Whiteside et al., 2016)  Our study demonstrated a significant portion of variance in accuracy is explained by pitch speed (21.5%); the higher the pitch speed the less accurate the pitch.  Overall, the adjusted model demonstrated pitch speed did not affect pitch success as opposed to an accurate pitch being greater than three times more likely to be successful. 

This study relied upon retrospective review of a random sample of regular season games to determine the effect of pitch accuracy while simultaneously accounting for some of the most important, traditional features of pitching success – pitch speed, location, and selection.  Unadjusted analysis reinforced some of the common opinions about current pitching – sliders and splitters if placed correctly are some of the most difficult pitches to hit (Table 5) and pitches thrown over the middle of the plate are more likely to lead to batter success (Table 6).  However, it also demonstrated some unexpected outcomes – that fastballs were some of the least accurate pitches and that pitch speed had limited, if any, effect on batter outcome.  However, after adjustment some interesting associations were revealed.  Pitching high in the zone had an odds ratio of success consistently two times greater than the middle of the zone, and that pitching low in the zone was not associated with improved pitcher outcome.  While interesting, this is not entirely surprising as it follows the trend of pitchers throwing higher much more commonly than they once did as batters have adopted an upward sloping swing to maximize launch angle.(Gutwein, 2021; Lu Chen, 2022)   Additionally, almost all pitches were more successful than a fastball at getting a batter out; this too reflects the trend toward increasing use of off-speed pitches in the MLB.(Norris, 2023)  After adjustment, all these other features of commonly accepted pitching importance – speed, pitch selection, and pitch location had limited effect on the outcome of the pitch in comparison with pitch accuracy.  An accurate pitch was more than three times (OR 3.28, 95% CI 2.45-4.4) more likely to result in a favorable outcome and resulted in 50% reduction in batting average and slugging percentage. 

Any study that attempts to study one feature (pitch accuracy) amongst a number of complex other potential confounding factors is bound to have some limitations.  Complexity itself is a limitation. Though many of the variables (pitcher, game, time in the season, etc.) were randomized, the complexity offered by any one pitcher limits interpretation.  For example, certain pitchers may not offer certain pitches or the quality of their pitches varies as compared to another when pitching in one location.  Any study incorporating such features would be much more complex and would also limit real world real-time application.  The retrospective nature of this study would normally be a limitation, but it allowed specificity of pitch location due to the ability to review the video and record features of each pitch.  However, certain features of each pitch were not available to the investigators – like spin rate, lateral and vertical movement.  These features may have a role in determining pitcher accuracy as well as batter outcome independent of pitcher accuracy.  Lastly, any study involving individual review with a general goal of subjectively identifying whether a pitch was accurate runs the risk of consistent over-estimation or under-estimation and/or variation.  Only computerized video review algorithms would be able to reduce imprecision further.  Computer algorithms and machine learning may eventually be able to be incorporated to refine this work. 

Conclusion:

In conclusion, this study suggests that pitching accuracy, particularly hitting the intended location of a pitch, is a crucial factor in determining pitcher success in MLB.  The findings provide valuable insights into the relative importance of various pitching variables, emphasizing the significance of strategic accuracy over sheer pitching speed.  This study contributes to the ongoing discourse about the multifaceted nature of successful pitching in professional baseball and emphasizes the importance of one of the most important features of a successful pitcher – accuracy. 

Applications in Sport:

This study highlights the critical importance of pitching accuracy in Major League Baseball (MLB), demonstrating that accurate pitches significantly reduce batter success rates, with a 50% decrease in batting average and slugging percentage when pitchers “hit their spot.” While pitch speed has traditionally been emphasized, this research shows that higher speeds often reduce accuracy and have limited impact on outcomes compared to precise pitch placement. The findings suggest that prioritizing accuracy over speed could improve pitcher performance and reduce injury risks associated with the current focus on velocity. These insights could inform training strategies, analytics, and even machine learning applications to optimize pitching success, offering a shift in how pitching effectiveness is evaluated and developed in modern baseball.

References: 

Bechtold, T. (2023). State of Analytics:  How The Movement Has Forever Changed Baseball – For Better or Worse. Retrieved November 25 from https://www.statsperform.com/resource/state-of-analytics-how-the-movement-has-forever-changed-baseball-for-better-or-worse/

Cooper, J. J. (2020). The Measure Of A Fastball Has Changed Over The Years. Retrieved November 19, 2023 from https://www.baseballamerica.com/stories/the-measure-of-a-fastball-has-changed-over-the-years/

Gutwein, C. (2021). Fastballs Keep Pouring Into the Top of the Zone. Retrieved November 25 from https://blogs.fangraphs.com/fastballs-keep-pouring-into-the-top-of-the-zone/

Kawamura, K., Shinya, M., Kobayashi, H., Obata, H., Kuwata, M., & Nakazawa, K. (2017). Baseball pitching accuracy: an examination of various parameters when evaluating pitch locations. Sports Biomech, 16(3), 399-410. https://doi.org/10.1080/14763141.2017.1332236

Lu Chen, S. (2022). The Launch Angle Revolution. Retrieved November 25 from https://www.bruinsportsanalytics.com/post/launch-angle

Manzi, J. E., Dowling, B., Wang, Z., Luzzi, A., Thacher, R., Rauck, R. C., & Dines, J. S. (2022). Pitching Mechanics and the Relationship to Accuracy in Professional Baseball Pitchers. Am J Sports Med, 50(3), 814-822. https://doi.org/10.1177/03635465211067824

Norris, J. (2023). The Surge Of The Slider In The Pitch-Tracking Era. Retrieved November 25 from https://www.baseballamerica.com/stories/the-surge-of-the-slider-in-the-pitch-tracking-era/

Research, G. V. (2022). Sports Analytics Market Size, Share & Trends Analysis Report By Component (Software, Service), By Analysis Type (On-field, Off-field), By Sports (Football, Cricket, Basketball, Baseball, Rugby), By End-user, By Region, And Segment Forecasts, 2023 – 2030. https://www.grandviewresearch.com/industry-analysis/sports-analytics-market

Venkadesan, M., & Mahadevan, L. (2017). Optimal strategies for throwing accurately. R Soc Open Sci, 4(4), 170136. https://doi.org/10.1098/rsos.170136

Whiteside, D., Martini, D. N., Zernicke, R. F., & Goulet, G. C. (2016). Ball Speed and Release Consistency Predict Pitching Success in Major League Baseball. J Strength Cond Res, 30(7), 1787-1795. https://doi.org/10.1519/JSC.0000000000001296

2025-07-08T10:57:33-05:00April 19th, 2025|General, Research, Sports Coaching, Sports Health & Fitness|Comments Off on The Association Between Pitch Accuracy and Batter Outcomes in Major League Baseball

The correlation between weight divisions and methods used by winning mixed martial arts athletes

Authors: Chenghao Ma1

1School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, China

Corresponding Author: 

Chenghao Ma

2001 Longxiang Blvd.,

Shenzhen, China 518172

[email protected]

Chenghao Ma is now at the School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen.

The correlation between weight divisions and methods used by winning mixed martial arts athletes

ABSTRACT

This study analyzes the correlation between weight divisions and the methods used by 174 top-ranking Ultimate Fighting Championship (UFC) elite athletes to victory, thus providing valuable information to help coaches and athletes formulate their training plans and competition strategies. It uses descriptive statistical analysis to present essential data in answer to a number of research questions. A Mann-Whitney U test was conducted to test the difference between male and female athletes within the same weight divisions, with a Kruskal-Wallis test revealing differences among weight divisions for each sex. Spearman’s correlation and Linear Regression tests were then used to analyze the relationship between these weight divisions and the methods used by winning athletes. The results indicated the following ratios for success: Knockout (KO)/Technical Knockout (TKO) (40.21%±22.27), Decision (36.78%±20.88), and Submission (23.01%±18.36). Spearman’s rho bivariate correlation test showed that the weight divisions for male athletes had a positive correlation with KO/TKO and a negative correlation with Decision and Submission regarding the methods leading to their success. However, there was no correlation between weight divisions for female athletes and their winning methods. Linear regression test results indicated linear correlations between the independent and dependent variables and created regression models for the correlation between the weight divisions of male athletes and their methods. The present study aims to provide coaches and athletes with valuable reference points concerning weight divisions and victory, thus enabling them to optimize training plans and competition strategies and change weight divisions to secure competitive advantages. Sports fans would also be able to make more logical predictions concerning the possible victory methods of their favorite athletes.

Key Words: combat sports; UFC; athletic performance; training plan; competition strategy

INTRODUCTION

Mixed Martial Arts (MMA) is a fast-growing sport worldwide. Mixed martial artists usually come from a variety of martial arts disciplines, such as boxing, karate, Brazilian Jiu-Jitsu, Muay Thai, kickboxing, and wrestling (16, 20), and athletes can use different techniques in MMA competitions, such as striking (using hands, elbows, knees, and feet) and grappling (takedown, chokes and joint locks) (4, 6, 15, 18). Most MMA competitions are held in octagonal cages, with the fights being divided into three or five rounds of five minutes with a one-minute interval to rest (9). The wide range of techniques allows athletes to show their unique fighting skills, making competitions entertaining spectacles (13).

From time immemorial, human beings have used fighting techniques to protect themselves from beasts and invaders to survive. One could say, therefore, that fighting has evolved along with human society, with different martial arts being formed in different regions and countries. The origin of MMA can be traced back to 648 BC when at the 33rd Olympic Games, Ancient Greek athletes competed in an arena with their bare hands in what was called Pankration (1). In Pankration, the rules made it difficult to win by mastering only one fighting technique, so the participants were usually proficient in multiple techniques, such as boxing, wrestling, and ground fighting.

Since the 1990s, along with the rapid development of MMA, organizations promoting it have also emerged worldwide. The Ultimate Fighting Championship (UFC) is, in fact, the most influential organization, with its first-ever event in the United States held in 1993 (11). Mixed martial arts is now becoming a mainstream sport, and the UFC has since become the leading organizer of MMA events (29). The UFC adopted the Unified Rules of Mixed Martial Arts in November 2000 to ensure the safety of athletes and fair competition (32). These rules are intended to provide a clear set of regulations governing professional MMA competitions consistent across different athletic commissions and other regulatory bodies. The framework for these rules was proposed and agreed upon by the various athletic commissions and adopted unanimously by the Association of Boxing Commissions (ABC) in July 2009 (32). The establishment and adoption of the Unified Rules of MMA mark the beginning of MMA as a sport accepted by both governing bodies and the public alike and have played an essential role in developing and promoting mixed martial arts. The commercial growth and international expansion have attracted athletes from other fighting categories to join the sport and compete in the UFC. A study on top-ranking UFC athletes is therefore thought to be both valuable and meaningful.

Mixed martial arts fights occur within specific weight divisions, with athletes winning a contest by Knockout, Technical Knockout, Submission, or the Referee’s Decision (21, 27). Divisions are based on body mass, and the athletes are then paired according to weight to prevent heavier athletes from scoring an obvious advantage, just as in other combat sports (8). The weight divisions stipulated by the UFC include eight weight classes for male athletes (Flyweight, Bantamweight, Featherweight, Lightweight, Welterweight, Middleweight, Lightweight Heavyweight, and Heavyweight) and three weight classes for female athletes (Strawweight, Flyweight, and Bantamweight), with the Flyweight division for females having been added (31). MMA athletes are grouped into different weight classes determined by their weight and measured around 24 to 32 hours before the competitions (7). Body mass manipulation through rapid weight gain and rapid weight loss is common among MMA athletes to ensure qualification for the weight class in which the athlete wants to compete (3, 5, 19). Therefore, weight classes are usually a matter of concern for coaches, athletes, and even MMA fans and are a prerequisite for fair competition (22).

UFC fights are governed by the Unified Rules of Mixed Martial Arts in which the fighter wins the fight in the following ways (2, 24, 30): First, for a victory to be secured through KO (Knockout), the referee stops the fight because the athlete cannot defend himself consciously because of striking techniques. The second is the TKO (Technical Knockout), where the referee, doctor, or the athlete’s corner stops the fight because the athlete cannot defend himself or herself if continuing the fight will put the athlete’s health at risk. The third is the Referee’s Decision, in which the referee scores the winner through a ten-point must system. The fourth is won by Submission, in which the athlete controls his opponent through submission techniques, causing that opponent to signal that he cannot continue the fight (10, 23). The diversity of winning styles makes the outcome of MMA fights unpredictable. The unique methods used to secure a win displayed by the different weight classes can provide coaches and athletes with a deeper understanding of their particular weight division and how a move to a new weight class might affect their methods. Thus, coaches and athletes can adjust training plans and competition strategies (25, 26).

The main research questions of this study are: What is the ratio of winning methods used by top-ranking UFC mixed martial artists regarding different gender groups and weight divisions? Secondly, is there a correlation between weight divisions and these winning methods? This study hypothesizes that as the weight divisions increase, there is a greater likelihood for the athletes to win by KO/TKO and a lower chance of winning by Decision and Submission. There is thus a significant positive correlation between weight division and KO/TKO and a significant negative correlation between weight division and Decision or Submission. This study analyzes the methods used to win and the correlation between these weight divisions and approaches to provide valuable information for martial arts coaches, athletes, and fans.

METHODS

Sample

Data concerning weight divisions and the methods used by male and female MMA athletes participating in the UFC to secure a victory (KO/TKO, Decision, and Submission) were collected from publicly available sources. Data were also collected from the official UFC ranking website (https://www.ufc.com/rankings) (31). A total of 174 athletes (male: 127; female: 47) who are champions and rank in the top 15 were involved in the sample data. MMA athletes were divided by gender and weight groups (Strawweight: up to and including 115 lbs, Flyweight: over 115 to 125 lbs, Bantamweight: over 125 to 135 lbs, Featherweight: over 135 to 145 lbs, Lightweight: over 145 to 155 lbs, Welterweight: over 165 to 170 lbs, Middleweight: over 175 to 185 lbs, Lightweight Heavyweight: over 195 to 205 lbs, and Heavyweight: over 225 to 265 lbs).

Archived databases from public access websites have in the past been employed for studies similar to the present research, without ethical issues in the investigation and interpretation of the data, as they were gathered in a secondary form and not developed experimentally (12, 14, 15, 17). The personal identification of individual data has also been avoided in this study, thus ensuring anonymity and confidentiality.

Statistical Analysis

First, a descriptive statistical analysis was conducted using SPSS 24 software. Data were provided as mean, minimum, maximum, and standard deviations. The Mann-Whitney U test was applied to test the difference between male and female athletes within the same weight divisions (Flyweight and Bantamweight), and a Kruskal-Wallis test showed the difference between weight divisions in each gender group. Spearman’s correlation and Linear Regression tests were then used to analyze the relationship between these weight divisions and the methods used by winning athletes within each gender group.

RESULTS

As shown in Table 1, male athletes who won were as follows: by KO/TKO: 43.75%±22.98; Decision: 33.35%±20.75, and Submission: 22.92%±18.70. Female athletes who won were as follows: by KO/TKO: 30.64%±17.04; Decision: 46.04%±18:43, and Submission: 23.23%±17.61. The total for athletes who won was as follows: by KO/TKO: 40.21%±22.27; Decision: 36.78%±20.88, and Submission: 23.01%±18.36. Table 2 shows a descriptive analysis of the methods used to win within different weight divisions for male and female athletes.

Table 1

Analysis of Methods Used to Win

SexKO/TKO (%)Decision (%)Submission (%)
MaleN127127127
Mean43.7533.3522.92
Std. Deviation22.9820.7518.70
Minimum.00.00.00
Maximum93.0095.0081.00
FemaleN474747
Mean30.6446.0423.23
Std. Deviation17.0418.4317.61
Minimum.0017.00.00
Maximum67.0085.0076.00
TotalN174174174
Mean40.2136.7823.01
Std. Deviation22.2720.8818.36
Minimum.00.00.00
Maximum93.0095.0081.00

Table 2

Descriptive Analysis of the Methods Used to Win Within Different Weight Divisions (Percent)

    SexNMeanStd. DeviationStd. ErrorMinimumMaximum
MaleKO/TKOFlyweight1632.2520.035.014.0081.00 
Bantamweight1633.0018.214.552.0073.00 
Featherweight1636.5616.094.02.0064.00 
Lightweight1544.6025.726.646.0086.00 
Welterweight1633.5018.064.52.0057.00 
Middleweight1648.5023.505.878.0085.00 
Light Heavyweight1655.0019.194.8019.0086.00 
Heavyweight1666.6320.765.1932.0093.00 
Total12743.7522.982.04.0093.00 
DecisionFlyweight1630.3120.455.116.0088.00 
Bantamweight1649.1918.794.7020.0086.00 
Featherweight1638.5612.133.038.0053.00 
Lightweight1531.4724.836.41.0083.00 
Welterweight1645.3124.616.15.0095.00 
Middleweight1631.8118.114.53.0063.00 
Light Heavyweight1620.6313.963.49.0044.00 
Heavyweight1619.3812.163.04.0037.00 
Total12733.3520.751.84.0095.00 
SubmissionFlyweight1637.4417.794.456.0064.00 
Bantamweight1617.6912.863.213.0050.00 
Featherweight1624.8119.264.82.0060.00 
Lightweight1523.7317.694.574.0064.00 
Welterweight1621.3817.604.403.0061.00 
Middleweight1619.7516.294.07.0056.00 
Light Heavyweight1624.4424.036.01.0081.00 
Heavyweight1614.1916.874.22.0056.00 
Total12722.9218.701.66.0081.00 
FemaleKO/TKOStrawweight1627.6916.264.07.0058.00 
Flyweight1531.5315.864.0911.0055.00 
Bantamweight1632.7519.394.85.0067.00 
Total4730.6417.042.49.0067.00 
DecisionStrawweight1640.7519.634.9117.0085.00 
Flyweight1550.6718.124.6827.0083.00 
Bantamweight1647.0017.254.3122.0081.00 
Total4746.0418.432.6917.0085.00 
SubmissionStrawweight1631.5622.365.59.0076.00 
Flyweight1517.6711.512.97.0038.00 
Bantamweight1620.1314.563.64.0050.00 
Total4723.2317.612.57.0076.00 

Table 3 shows that U=490, W=1018, and Z=-0.083 for KO/TKO, corresponding to a significant probability of p=0.934>0.05, with the null hypothesis being accepted, showing that there is no significant difference between the KO/TKO rates for men and women within the same two weight divisions (Flyweight and Bantamweight). For the Decision method, U=371, W=867, and Z=-1.720 corresponded to a significant probability of p=0.043<0.05. The null hypothesis is therefore rejected, showing a significant difference in wins by Decision between men and women. For Submission, U=371, W=867, and Z=-1.720 corresponded to a significant probability of p=0.085>0.05, so the null hypothesis was accepted, showing no significant difference between men and women in this respect.

Table 3

The difference within Same Weight Divisions (Male and Female) in Terms of the Methods Used to Win

 KO/TKODecisionSubmission
Mann-Whitney U490.000349.000371.000
Wilcoxon W1018.000877.000867.000
Z-0.083-2.022-1.720
Asymp. Sig. (2-tailed)0.9340.0430.085

Table 4 shows that the chi-square values for male athletes were: KO/TKO=30.117, Decision=33.209, and Submission=15.815. The corresponding probabilities were: p<0.01 (KO/TKO), p<0.01 (Decision), and p=0.027<0.05 (Submission), showing that there was a significant difference in the methods used by winning male athletes across weight classes. The chi-square values for female athletes were: KO/TKO=0.646, Decision=2.705, Submission=3.552. The corresponding probabilities were: p=0.724>0.05 (KO/TKO), p=0.259>0.05 (Decision), and p=0.169>0.05 (Submission), showing that there was no significant difference in the way female athletes won in different weight classes.

Table 4

Kruskal-Wallis Test to Determine the Approaches Used by Winning Athletes Across Weight Divisions

Sex KO/TKODecisionSubmission
MaleChi-Square30.11733.20915.815
 df777
 Asymp.Sig.0.0000.0000.027
FemaleChi-Square0.6462.7053.552
 df222
 Asymp. Sig.0.7240.2590.169

 

As shown in Table 5, the results of the Spearman’s rho bivariate correlation test for male athletes were as follows: KO/TKO (r=0.446, p<0.01), Decision (r=-0.311, p<0.01), and Submission (r=-0.255, p=0.004<0.01). These results show that the weight class for male athletes had a positive correlation with KO/TKO and negative correlations with Decision and Submission. The Spearman’s rho bivariate correlation test for female athletes was as follows: KO/TKO (r=0.109, p=0.464>0.05), Decision (r=0.171, p=0.250>0.05), and Submission (r=-0.209, p=0.160>0.05). These results show no significant correlation between the weight classes of female athletes and the three approaches to winning.

Table 5

Spearman’s rho Correlation Test Between Weight Divisions and Winning Methods

Sex KO/TKODecisionSubmission
MaleCorrelation Coefficient0.446-0.311-0.255
 p (2-tailed)0.0000.0000.004
FemaleCorrelation Coefficient0.1090.171-0.209
 p (2-tailed)0.4640.2500.160

Because the male athletes showed a correlation between weight class and the methods they used to win, a further linear regression analysis was performed based on the weight (Pounds) and the methods used by male athletes to win. Table 6 shows statistical tests for the linear regression model. The correlation coefficient was R=0.482, R2=0.232, adjusted R2=0.226, and the estimated standard error was 20.21593. The results show a linear correlation between the independent variable weight (Pounds) and the dependent variable KO/TKO.

Table 6

Statistical Tests of Linear Regression Model (KO/TKO)

ModelRR SquareAdjusted R SquareStd. Error of the EstimateChange StatisticsDurbin-Watson
R Square ChangeF Changedf1df2Sig. F Change
1.482a.232.22620.21593.23237.8401125.0001.990
a. Predictors: (Constant), Pounds 
b. Dependent Variable: KOTKO 

Table 7 shows the results of the variance test of the regression statistics, such as the variance, sum of squares, degrees of freedom, mean square value, the value of the statistic F, and its probability of significance for the model. The results show that F=37.840 with a probability of P<0.01, indicating that the regression effect is significant in this case.

Table 7

ANOVA Test (KO/TKO)

ModelSum of SquaresdfMean SquareFSig.
1Regression15464.466115464.46637.840.000b
Residual51085.471125408.684  
Total66549.937126   
a. Dependent Variable: KOTKO
b. Predictors: (Constant), Pounds

Table 8 shows the test of regression coefficients. The coefficient of the independent variable weight (Pounds) is 0.278, with a companion probability of p<0.01, indicating that the independent variable had a regression coefficient; therefore, there is a linear correlation between the independent and dependent variables. The regression equation is thus: Ŷ = -4.150 + 0.278X.

Table 8

Regression Coefficient Test (KO/TKO)

ModelUnstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
1(Constant)-4.1507.991 -.519.604
Pounds.278.045.4826.151.000
a. Dependent Variable: KO/TKO

Table 9 shows the statistical test table of the linear regression model as follows: the correlation coefficient was R=0.329, R2=0.109, adjusted R2=0.101, and the estimated standard error was 19.66908. The results show a linear correlation between the independent and dependent variables.

Table 9

Statistical Tests of Linear Regression Model (Decision)

ModelRR SquareAdjusted R SquareStd. Error of the EstimateChange StatisticsDurbin-Watson
R Square ChangeF Changedf1df2Sig. F Change
1.329a.109.10119.66908.10915.2241125.0002.011
a. Predictors: (Constant), Pounds 
b. Dependent Variable: Decision 

Table 10 shows the results of the variance test of the regression statistics, such as the sum of squares, degrees of freedom, mean square value, and the value of the statistic F and its probability of significance for the model. The results show that F=15.224 with a probability of p<0.01, indicating that the regression effect is significant in this case.

Table 10

ANOVA Test (Decision)

ModelSum of SquaresdfMean SquareFSig.
1Regression5889.67715889.67715.224.000b
Residual48359.078125386.873  
Total54248.756126   
a. Dependent Variable: Decision
b. Predictors: (Constant), Pounds

Table 11 show the test for regression coefficients. The coefficient of the independent variable weight (Pounds) is -0.172 with a probability of p<0.01, indicating a significant regression coefficient for the independent variable; therefore, linear correlation between the independent and the dependent variables. The regression equation is thus Ŷ = 62.906-0.172X.

Table 11

Regression Coefficient Test (Decision)

ModelUnstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
1(Constant)62.9067.774 8.091.000
Pounds-.172.044-.329-3.902.000
a. Dependent Variable: Decision

Table 12 shows the statistical test table for the linear regression model. The correlation coefficient was R=0.222, R2=0.049, adjusted R2=0.042, and the estimated standard error was 18.30691. The results show a linear correlation between the independent and dependent variables.

Table 12

Statistical Tests of Linear Regression Model (Submission)

ModelRR SquareAdjusted R SquareStd. Error of the EstimateChange StatisticsDurbin-Watson
R Square ChangeF Changedf1df2Sig. F Change
1.222a.049.04218.30691.0496.4881125.0122.017
a. Predictors: (Constant), Pounds 
b. Dependent Variable: Submission   

Table 13 shows the results of the variance test of the regression statistics, such as the sum of squares, degrees of freedom, mean square value, and the value of the statistic F and its probability of significance for the model. The results show that F=6.488 with a probability of P=0.012<0.05, indicating that the regression effect is significant in this case.

Table 13

ANOVA Test (Submission)

ModelSum of SquaresdfMean SquareFSig.
1Regression2174.35612174.3566.488.012b
Residual41892.857125335.143  
Total44067.213126   
a. Dependent Variable: Submission
b. Predictors: (Constant), Pounds

Table 14 shows the test of regression coefficients. The coefficient of the independent variable weight was -0.104 with a probability of p=0.012<0.05, indicating that the regression coefficient of the independent variable was significant; there is a linear correlation between the independent and the dependent variables. The regression equation is thus Ŷ = 40.882-0.104X.

Table 14

Regression Coefficient Test (Submission)

ModelUnstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
1(Constant)40.8827.236 5.650.000
Pounds-.104.041-.222-2.547.012
a. Dependent Variable: Submission

DISCUSSION

A comparison of the data shows that the athletes winning by KO/TKO were 40.21%±22.27, Decision was 36.78%±20.88, and Submission was 23.01%±18.36. The percentage of the approaches used by male athletes to win in descending order was: KO/TKO 43.75%±22.98, Decision 33.35%±20.75, and Submission 22.92%±18.70. The rate of female athletes in descending order by the method they used to win was: Decision 46.04%±18:43, KO/TKO 30.64%±17.04, and Submission 23.23%±17.61. The comparison of two typical levels of Flyweight and Bantamweight for both men and women indicated that there was no significant difference between KO/TKO (p=0.934>0.05) and Submission (p=0.085>0.05), but there was a significant difference for Decision (p=0.043>0.05).

The results showed that the most common method used by male athletes to win was KO/TKO, then Decision, and finally Submission. In contrast, the most common method for female athletes was Decision, then KO/TKO, and finally Submission. Since there are only two equal-weight divisions for both male and female athletes, the comparison shows that there is only a significant difference between the Decision wins, with no significant difference between the other two.

The Kruskal-Wallis test showed that there was a significant difference in the styles used by male athletes to win across weight divisions, with p<0.01 (KO/TKO), p<0.01 (Decision), and p=0.027<0.05 (Submission). However, there was no significant difference in the way female athletes won across the different weight divisions, with p=0.724>0.05 (KO/TKO), p=0.259>0.05 (Decision), and p=0.169>0.05 (Submission). The data analysis showed significant differences in the methods used by male athletes to win in each weight class, while there were no significant differences in those employed by female athletes.

The Spearman’s rho bivariate correlation test showed that, for male athletes, the weight class had a significant positive correlation with KO/TKO wins (r=0.446, P<0.01), a significant negative correlation with Decision wins (r=-0.311, P<0.01), and a significant negative correlation with Submission wins (r=-0.255, P=0.004<0.05). Data analysis showed that the higher the weight divisions of the male athletes, the greater the chance of KO/TKO wins and the smaller the chance of Decision and Submission wins. In contrast, the results indicated no significant correlation between the female athletes’ weight divisions and their winning methods. Although there appears to be no significant correlation between weight class and the methods female athletes use to win, this assumption was based on contexts in which there are only three weight class data for female athletes. It is worth noting that data on fewer weight classes for female athletes are likely to influence correlation and that further research is needed to test the association.

Based on the results of the correlation analysis between weight classes and the approaches used to win, a linear regression analysis of the weight and methods of male athletes was conducted in this study. The results indicated a significant linear correlation between the independent variable (weight: pounds) and the dependent variable (KO/TKO, Decision, and Submission). The regression analysis may provide a specific approach for more precise predictions of the correlation effects between weight divisions and the methods used by elite MMA athletes to win. For example, assuming that a male athlete weighs 180 pounds, that brings into the equation Ŷ = -4.150 + 0.278X (KO/TKO), Ŷ = 62.906-0.172X (Decision), Ŷ = 40.882-0.104X (Submission), which corresponds to a KO/TKO probability of winning of about 45.89%, a Decision win probability of approximately 31.95%, and a Submission win probability of roughly 22.16%. It is worth noting here that this linear regression model is not intended to provide coaches or athletes with precise predictions of successful methods in particular weight divisions but rather to provide a reference that must be used in practice, taking other factors into account in the overall judgment.

This paper is not a study of who will win a fight but a projection of the most likely means used by an athlete to win a competition within different weight classes. Its key role is to provide coaches and athletes with additional information to optimize their training programs and competition strategies (28). Neither does this study provide an analysis of other influencing factors. Hence, coaches and athletes need to consider other factors when preparing for a specific competition, for example, the technical and tactical characteristics of the athlete and the opponent, and the particular environment of the competition, instead of considering this as a single constant factor.

Coaches train athletes at different levels of competition, and this study can inform coaches’ training programs for athletes in different weight classes. For example, elite heavyweight MMA fighters are most likely to win by KO/TKO and less likely to win by Decision and Submission. Coaches should consider this factor when scheduling training programs and preparing competitive strategies. MMA athletes should consider their weight divisions as a factor in their training strategies, allowing for more effective training plans. In addition, combat sports athletes will many times move up or down in weight classes to secure a competitive advantage, and coaches and athletes should consider the probability of methods used to win within different weight classes when planning whether to move up or down, thereby increasing the likelihood of success. In addition, MMA fans can also make more reasonable predictions about competition outcomes and the methods used by their favorite athletes to win based on the results of the present study.

The present study has several limitations. The first is that data on the athletes were collected from a single MMA organization, the UFC, even though it is, in fact, the leading organization in promoting the sport. Secondly, this study has only analyzed the factors of weight division with limited R2 results,which might limit the linear regression model’s implementations. Therefore, the influence of other factors should also be considered according to the characteristic of mixed martial arts’ diverse techniques and tactics. A more comprehensive analysis will enable effective techniques and tactics to enhance an athlete’s overall performance. Finally, the fact that only three levels of data were available for female athletes’ weight divisions led to no significant correlation between weight classes and the methods used by athletes to secure victory. 

Future studies might therefore be conducted with data for the fourth division for female athletes being added or as more relevant data from other organizations are obtained. In order to examine the generalizations made in the present study or potential trends within the sport itself, future research into other MMA organizations and athletes – for example, amateur organizations and athletes – could be based on similar methods or by observing the same organization at different periods.

CONCLUSIONS

This study investigated the correlation between weight divisions and the methods used by top-ranking UFC mixed martial arts athletes to win. Results provided the following ratios for these methods: KO/TKO (40.21%±22.27), Decision (36.78%±20.88), and Submission (23.01%±18.36). The Mann-Whitney U test results used in the study showed no difference in KO/TKO and Submission as methods used by male and female athletes to secure a victory within the same weight divisions, compared with a difference in Decision. The Kruskal-Wallis test showed a difference in the methods used by winning male athletes across different weight divisions and no difference in those employed by female athletes.

Spearman’s rho bivariate correlation test showed that the weight division of male athletes had a positive correlation with KO/TKO and a negative correlation with Decision and Submission, and no correlation between female athletes’ weight divisions and how they won. Linear regression test results showed linear correlations between male athletes’ independent and dependent variables.

APPLICATIONS IN SPORT

This study may provide coaches and athletes with a valuable reference for the relationship between weight divisions and the methods used by winning athletes when optimizing training plans and competition strategies. Coaches and athletes should also consider the probability of different methods within different weight divisions when planning to move up or down weight classes to secure a competitive advantage. Sports fans may also use this study in order to predict competitive outcomes.

REFERENCES

1. Andreasson, J., & Johansson, T. (2019). Negotiating violence: Mixed martial arts as a spectacle and sport. Sport in Society, 22(7), 1183-1197.

2. Association of Boxing Commissions and Combative Sports. (2018). Unified Rules of Mixed Martial Arts.

3. Barley, O.R., Chapman, D.W., & Abbiss, C.R. (2018). Weight loss strategies in combat sports and concerning habits in mixed martial arts. International Journal of Sports Physiology and Performance, 13(7), 933-939.

4. Brett, G. (2017). Reframing the ‘violence’ of mixed martial arts: The ‘art’ of the fight. Poetics, 62, 15-28.

5. Burke, L.M., Slater, G.J., Matthews, J.J., Langan-Evans, C., & Horswill, C.A. (2021). ACSM expert consensus statement on weight loss in weight-category sports. Current Sports Meddicine Reports, 20(4): 199-217.

6. Buse, G.J. (2006). No holds barred sport fighting: A 10 year review of mixed martial arts competition. British Journal of Sports Medicine, 40(2): 169-172.

7. Coswig, V.S., Fukuda, D.H., & Del Vecchio, F.B. (2015). Rapid weight loss elicits harmful biochemical and hormonal responses in mixed martial arts athletes. International Journal of Sport Nutrition and Exercise Metabolism, 25(5): 480-486.

8. Coswig, V.S., Miarka, B., Pires, D.A., da Silva, L.M., Bartel, C., & Del Vecchio, F.B. (2019). Weight regain, but not weight loss, is related to competitive success in real-life mixed martial arts competition. International Journal of Sport Nutrition and Exercise Metabolism 29(1), 1-8.

9. Faro, H., de Lima-Junior, D., & Machado, D.G.d.S. (2021). Rapid weight gain predicts fight success in mixed martial arts – evidence from 1,400 weigh-ins. European Journal of Sport Science, 1-10.

10. Follmer, B., Andreato, L., & Coswig, V. (2021). Combat-ending submission techniques in modern mixed martial arts. Ido Movement for Culture, 21, 6-10.

11. Ford, S.J. (2015). Co-evolutionary processes and positive feedbacks in the growth of the ultimate fighting championships. Sport, Business and Management, 5(1), 31-49.

12. Franchini, E., Fukuda, D.H., & Lopes-Silva, J.P. (2020). Tracking 25 years of judo results from the World Championships and Olympic Games: Age and competitive achievement. Journal of Sports Sciences, 38(13), 1531-1538.

13. García, R.S., & Malcolm, D. (2010). Decivilizing, civilizing or informalizing? The international development of mixed martial arts. International Review for the Sociology of Sport,45(1), 39-58.

14. Haugen, T.A., Solberg, P.A., Foster, C., Moran-Navarro, R., Breitschadel, F., & Hopkins, W.G. (2018). Peak age and performance progression in world-class track-and-field athletes. International Journal of Sports Physiology and Performance, 13(9), 1122-1129.

15. James, L.P., Robertson, S., Haff, G.G., Beckman, E.M., & Kelly, V.G. (2017). Identifying the performance characteristics of a winning outcome in elite mixed martial arts competition. Journal of Science Medicine in Sport, 20(3), 296-301.

16. Jetton, A.M., Lawrence, M.M., Meucci, M., Haines, T.L., Collier, S.R., Morris, D.M., & Utter, A.C. (2013). Dehydration and acute weight gain in mixed martial arts fighters before competition. The Journal of Strength & Conditioning Research, 27(5), 1322-1326.

17. Julio, U.F., Takito, M.Y., Mazzei, L., Miarka, B., Sterkowicz, S., & Franchini, E. (2011). Tracking 10-year competitive winning performance of judo athletes across age groups. Perceptual and Motor Skills, 113(1), 139-149.

18. Kirk, C., Hurst, H.T., & Atkins, S. (2015). Measuring the workload of mixed martial arts using accelerometry, time motion analysis and lactate. International Journal of Performance Analysis in Sport, 15(1), 359-370.

19. Kirk, C., Langan-Evans, C., & Morton, J.P. (2020). Worth the weight? Post weigh-in rapid weight gain is not related to winning or losing in professional mixed martial arts. International Journal of Sport Nutrition and Exercise Metabolism, 30(5), 357-361.

20. MacDonald, K.E., Lamont, M., & Jenkins, J.M. (2019). Ultimate fighting championship fans: Foundations of subcultural stratification. Leisure Sciences, 41(6), 441-459.

21. Miarka, B., Aedo-Munoz, E., Perez, D.I.V., Teixeira, F.G., & Brito, C.J. (2020). Ending an MMA combat bout: Specific striking techniques which determine the type of outcome. Ido Movement for Culture-Journal of Martial Arts Anthropology, 20(3), 9-17.

22. Miarka, B., Brito, C.J., Bello, F.D., & Amtmann, J. (2017). Motor actions and spatiotemporal changes by weight divisions of mixed martial arts: Applications for training. Human Movement Science 55, 73-80.

23. Miarka, B., Coswig, V., Brito, J.C., Slimani, M., Amtmann, J., & Del Vecchio, F.B. (2016). Comparison of combat outcomes: technical and tactical analysis of female MMA. International Journal of Performance Analysis in Sport, 16(2), 539-552.

24. Miarka, B., Coswig, V.S., & Amtmann, J. (2019). Long MMA fights technical-tactical analysis of mixed martial arts: Implications for assessment and training. International Journal of Performance Analysis in Sport, 19(2), 153-166.

25. Miarka, B., Coswig, V.S., Vecchio, F.B.D., Brito, C.J., & Amtmann, J. (2015). Comparisons of time-motion analysis of mixed martial arts rounds by weight divisions. International Journal of Performance Analysis in Sport 15(3), 1189-1201.

26. Miarka, B., dal Bello, F., Brito, C.J., & Amtmann, J. (2018). Technical-tactical ratios by round, genders and weight division of mixed martial arts for training. International Journal of Performance Analysis in Sport, 18(1), 78-89.

27. Miarka, B., Dal Bello, F., Brito, C.J., Del Vecchio, F.B., Amtmann, J., & Chamari, K. (2019). A 12-year cohort study of doc-stoppage in professional mixed martial arts. International Journal of Sports Physiology & Performance, 14(5), 606-611.

28. Pinto, F.C.L., Neiva, H., Nunes, C., Marques, M.C., Sousa, A.C., Marinho, D.A., Branquinho, L., & Ferraz, R. (2020). Ultimate full contact: Fight outcome characterization concerning their methods, occurrence times and technical–tactical developments. International Journal of Environmental Research and Public Health, 17(19), 7094.

29. Reams, L. & Shapiro, S. (2017). Who’s the main attraction? Star power as a determinant of ultimate fighting championship pay-per-view demand. European Sport Management Quarterly, 17(2), 132-151.

30. Stellpflug, S.J., Menton, W.H., Dummer, M.F., Menton, T., Corry, J., & LeFevere, R. (2020). Time to unconsciousness from sportive chokes in fully resisting highly trained combatants. International Journal of Performance Analysis in Sport, 20(4), 720-728.

31. UFC rankings, division ranking, P4P rankings, UFC champions. (n.d.). The Official Home of Ultimate Fighting Championship | UFC.com.https://www.ufc.com/rankings. Accessed 3 August/2022.

32. Unified rules of mixed martial arts | UFC. (2021, April 12). The Official Home of Ultimate Fighting Championship | UFC.com.https://www.ufc.com/unified-rules-mixed-martial-arts. Accessed 15 August/2022.

2025-02-14T14:46:42-06:00March 7th, 2025|Sport Training, Sports Health & Fitness|Comments Off on The correlation between weight divisions and methods used by winning mixed martial arts athletes
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