- There would be a predictive relationship between mental well-being and life satisfaction among sports participants.
- There would be a negative relationship between aggression and mental well-being in sports participants.
-
Allen, M. S., Greenlees, I., & Jones, M. (2013). Personality in sport: a comprehensive review. International Review of Sport and Exercise Psychology, 6(1), 184–208.
-
APA. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association.
-
Ashforth, B. E., & Mael, F. (1989). Social identity theory and the organization. The Academy of Management Review, 14(1), 20–39. https://doi.org/10.2307/2581
-
Bandura, A. (1977). Social learning theory. Prentice-Hall.
-
Bandura, A., & National Inst of Mental Health. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
-
Buss, A. H., & Perry, M. (1992). The Aggression Questionnaire. Journal of Personality and Social Psychology, 63(3), 452–459. https://doi.org/10.1
-
Coalter, F. (2013). Sport for development: What game are we playing? Routledge.
-
Coulomb-Cabagno, G., & Rascle, O. (2006). Team Sports Players' Observed Aggression as a Function of Gender, Competitive Level, and Sport Type. Journal of Applied Social Psychology, 36(8), 1980–2000.
-
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage Publications.
-
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction With Life Scale. Journal of Personality Assessment, 49(1), 71–75.
-
Eime, R. M., Young, J. A., Harvey, J. T., Charity, M. J., & Payne, W. R. (2013). A systematic review of the psychological and social benefits of participation in sport for children and adolescents: informing development of a conceptual model of health through sport. International Journal of Behavioral Nutrition and Physical A
-
Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226.
-
Hodge, K., & Gucciardi, D. F. (2015). Antisocial and prosocial behavior in sport: The role of motivational climate, basic psychological needs, and moral disengagement. Journal of Sport & Exercise Psychology, 37
-
Holt, N. L., Neely, K. C., Slater, L. G., Camiré, M., Côté, J., Fraser-Thomas, J., MacDonald, D., Strachan, L., & 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 Psychology, 10(1), 1–49.&nb
-
Keyes C. L. (2005). Mental illness and/or mental health? Investigating axioms of the complete state model of health. Journal of consulting and clinical psychology, 73(3), 539–548.
-
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.
-
Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57(6), 1069–1081. htt
-
Snelgrove, R., Selvaratnam, V., Wood, L., & Potwarka, L. R. (2022). Distinguishing Participants and Non-Participants in Campus Recreation: the roles of knowledge and Motivations. Recreational Sports Journal, 4
-
Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007). The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation. Hea
-
Valois, R. F., Zullig, K. J., Huebner, E. S., & Drane, J. W. (2001). Relationship between life satisfaction and violent behaviors among adolescents. American journal of health behavior, 25(4), 353–366.
-
Wann, D. L., & James, J. D. (2018). Sport fans. In Routledge eBooks. https://doi.org/10.4324/9780429456831
-
Young, K. (2013). Sport, violence and society. In Routledge eBooks. https://doi.org/10.4324/9780203874615
Abstract:
Abstract
Sports provide a space for recreation and emotional growth, where mental well-being, life satis-faction, and aggression often intersect. Mental well-being fosters resilience, while life satisfaction reflects overall contentment. Objective of the present study was to investigate the relationship between aggression and mental well-being and predictive relationship of mental well-being with life satisfaction. Sample comprised of 300 males, 21 to 34 years old, recruited through conven-ient sampling technique from Sindh, Pakistan. Data was collected using DIQ, BPAQ, SWLS and WEMWBS. Findings show life satisfaction was significantly predicted by mental well-being (r2 = .10, F = 32.94, p <. 05), emotional intelligence (R2 = .37, F = 129.16, p < .05), and negative relationship between aggression and life satisfactory (r = -.113, p = <. 05). The study encourages the integration of targeted interventions that can help reduce aggression and enhance positive mental states, ultimately contributing to healthier, more satisfied communities.
Key Words:
Mental Well-being, Aggression, Life Satisfaction, Informal Sports Engagement
Introduction
Informal sports, often characterized by their lack of strict rules and competitive frameworks, are a fundamental aspect of recreational and community life. These activities provide opportunities for physical exercise, social interaction, and mental rejuvenation without the rigid constraints of professional or organized sports. In contemporary societies, where stress, anxiety, and life dissatisfaction are common, informal sports have emerged as a valuable tool for fostering mental well-being and improving overall life satisfaction (Eime et al., 2013). However, the unstructured and competitive nature of informal sports can sometimes evoke aggression, potentially disrupting their psychological benefits (Coulomb-Cabagno & Rascle, 2006). This study explores the intricate relationships between mental well-being, life satisfaction, and aggression in the context of informal sports, focusing on young adult males in Pakistan.
Mental well-being encompasses an individual's emotional, psychological, and social health, representing the ability to cope with stress, maintain healthy relationships, and make sound decisions (Keyes, 2005). Unlike structured sports, informal sports are self-organized, offering participants autonomy and freedom of expression. According to Ryan and Deci (2000), the intrinsic motivation and enjoyment derived from informal sports play a critical role in enhancing mental well-being. These activities promote positive emotions, self-esteem, and resilience, aligning with the principles of self-determination theory, which emphasizes the fulfillment of autonomy, competence, and relatedness needs.
Furthermore, informal sports often involve team-based interactions, fostering a sense of belonging and social connectedness. Social identity theory posits that individuals derive self-esteem and a sense of purpose from their group affiliations (Ashforth & Mael, 1989). In the context of informal sports, participants often form strong social bonds, which act as protective factors against mental health challenges such as depression and anxiety (Allen et al., 2013). For instance, a study by Holt et al. (2017) highlighted the role of sports-based peer interactions in enhancing social support and emotional well-being among adolescents.
Life Satisfaction: A Psychological Outcome of Sports Participation
Life satisfaction, a cognitive evaluation of one’s overall quality of life, is a key indicator of subjective well-being (Diener et al., 1985). It reflects an individual’s perception of their achievements, relationships, and life circumstances. Informal sports, by offering recreational enjoyment and opportunities for self-expression, can significantly influence life satisfaction. According to Diener et al. (2009), physical activity has a positive impact on life satisfaction, mediated by improvements in physical health, stress reduction, and enhanced social interactions.
In the Pakistani context, where societal stressors such as unemployment, urbanization, and familial responsibilities often challenge young adults, informal sports serve as a vital coping mechanism. Engagement in these activities allows individuals to escape daily pressures, fostering moments of joy and accomplishment. Research by Snelgrove et al. (2022) underscores that individuals participating in recreational sports report higher levels of life satisfaction than non-participants, emphasizing the role of leisure activities in promoting psychological health.
Aggression: A Dual-Edged Sword in Sports Contexts
While informal sports provide psychological and social benefits, they can also become a platform for the expression of aggression. Aggression, defined as any behavior intended to harm another individual, encompasses various forms, including physical aggression, verbal aggression, anger, and hostility (Buss & Perry, 1992). The competitive nature of sports, combined with the lack of structured regulations in informal settings, can trigger conflicts and aggressive behaviors (Young, 2013).
The social learning theory, proposed by Bandura (1977), suggests that aggression in sports is often learned through observation and reinforcement. In informal sports, participants may mimic aggressive behaviors exhibited by peers or sports idols, normalizing such actions. Additionally, frustration-aggression theory posits that unmet goals, such as losing a game or being fouled, can lead to aggressive responses (Dollard et al., 1939). A study by Coulomb-Cabagno and Rascle (2006) found that informal sports, despite their recreational nature, often witness aggressive incidents stemming from competitive pressures and interpersonal disagreements.
Rationale
While formal sports settings have been extensively studied, there is limited understanding of how informal sports influence mental health and emotional regulation. Informal sports often offer a relaxed and self-directed environment, yet participants may still experience interpersonal conflicts, competitive tension, or personal stressors. Investigating the correlation between mental well-being, aggression, and life satisfaction in this context is crucial to bridging a gap in sports psychology research. Understanding these dynamics may provide insights into how informal sports serve as a tool for mental health promotion and stress management, fostering greater life satisfaction among young adults.
Significance of the Study
This study is significant for both academic and practical purposes. It contributes to the growing body of literature on sports psychology by focusing on an understudied population, those engaging in informal sports. Practically, the findings may inform community programs and recreational planners about the psychological benefits of promoting informal sports. Additionally, understanding the role of mental well-being and its relationship with aggression and life satisfaction can guide interventions to enhance emotional resilience and quality of life in informal sports participants, ultimately supporting broader mental health initiatives.
Hypotheses
Research Design
This study employed a quantitative, correlational research design to explore relationships among variables and assess predictive associations. A correlational design was chosen as it allows the examination of naturally occurring relationships without manipulation of variables (Creswell, 2014). The aim was to measure the degree to which mental well-being predicts life satisfaction and how aggression correlates with life satisfaction in individuals participating in informal sports.
Participants
A total of 300 male participants were selected through convenience sampling from public and private sports stadiums and sports clubs in Hyderabad and Jamshoro, Sindh, Pakistan. The sample size was determined based on Cohen’s (1992) guidelines for achieving adequate statistical power in correlational studies, ensuring reliable results.
Instruments:
Consent and Demographic Information Questionnaire (DIQ):
A self-developed Consent Sheet and questionnaire collected participants’ background information, including age, marital status, education level, preferred sports, and duration of engagement in informal sports.
Buss-Perry Aggression Questionnaire (BPAQ)
This 29-item scale measured aggression across four dimensions: physical aggression, verbal aggression, anger, and hostility. The BPAQ is a validated tool with robust reliability across diverse populations (Cronbach’s ? = 0.72–0.89; Buss & Perry, 1992).
Satisfaction with Life Scale (SWLS)
This 5-item scale assessed participants’ overall life satisfaction. It demonstrates excellent internal consistency (Cronbach’s ? = 0.87) and has been widely used in well-being studies (Diener et al., 1985).
Warwick-Edinburgh Mental Well-being Scale (WEMWBS)
A 14-item scale evaluating mental well-being through positively worded statements about thoughts and feelings. It is validated for measuring general well-being in community settings (Tennant et al., 2007).
Procedure
The data collection process was carried out over three months, from June to August 2024, in various sports venues. Participants were approached at public and private sports stadiums and clubs. A brief introduction to the study's purpose and procedures was provided, and informed consent was obtained. Participants were assured of confidentiality and their right to withdraw at any point without penalty. Questionnaires were administered in a quiet, distraction-free setting, either individually or in small groups. Trained researchers were present to clarify any doubts, ensuring consistent administration across participants. Each participant required approximately 20–30 minutes to complete the questionnaires. Advanced permission was sought from the sports stadium or club authorities before commencing data collection. The purpose of the study and consent form were briefed. After signing the consent sheet, a further process was initiated. Confidentiality was maintained by anonymizing data, and all records were securely stored in password-protected files to prevent unauthorized access (APA, 2020).
Table 1 Predictive Relationship of Mental Well-being with Life Satisfaction (N= 3000)
| Model Summary >
| > Model width="13%" colspan="2">R width="19%" colspan="4">R Square width="26%" colspan="3">Adjusted R Square width="26%" colspan="5">Std. Error of the Estimate >
| > 1 width="13%" colspan="2">.316a width="19%" colspan="4">.100 width="26%" colspan="3">.097 width="26%" colspan="5">6.428 >
| > a. Predictors: (Constant), Mental Well-being >
| > ANOVAa >
| > Model width="20%" colspan="3">Sum of Squares width="9%" colspan="3">df width="20%" colspan="3">Mean Square width="12%" colspan="2">F width="10%" colspan="2">Sig. >
| > 1 width="16%" colspan="2">Regression width="20%" colspan="3">1361.482 width="9%" colspan="3">1 width="20%" colspan="3">1361.482 width="12%" colspan="2">32.948 width="10%" colspan="2">.000b >
| > Residual width="20%" colspan="3">12313.915 width="9%" colspan="3">298 width="20%" colspan="3">41.322 width="12%" colspan="2">width="10%" colspan="2"> >
| > Total width="20%" colspan="3">13675.397 width="9%" colspan="3">299 width="20%" colspan="3">width="12%" colspan="2"> width="10%" colspan="2"> >
| > a. Dependent Variable: Life Satisfaction >
| > b. Predictors: (Constant), Mental Well-being >
| > Coefficientsa | > Model width="30%" colspan="5">Unstandardized Coefficients width="24%" colspan="3">Standardized Coefficients width="7%" colspan="2" rowspan="2">t width="8%" colspan="2" rowspan="2">Sig. | > B width="12%" colspan="3">Std. Error width="24%" colspan="3">Beta | > 1 width="20%" colspan="5">(Constant) width="17%" colspan="2">12.910 width="12%" colspan="3">2.115 width="24%" colspan="3">width="7%" colspan="2"> 6.104 width="8%" colspan="2">.000 | > Mental Well-being width="17%" colspan="2">.222 width="12%" colspan="3">.039 width="24%" colspan="3">.316 width="7%" colspan="2">5.740 width="8%" colspan="2">.000 | > a. Dependent Variable: Life Satisfaction | height="0"> width="8"> width="35"> width="85"> width="13"> width="7"> width="122"> width="2"> width="5"> width="60"> width="24"> width="102"> width="17"> width="56"> width="34"> width="20"> width="58"> width="1"> | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Correlations | > width="20%"> Aggression width="23%">Life Satisfaction | > Aggression width="28%">Pearson Correlation width="20%">1 width="23%">-.113* | > Sig. (2-tailed) width="20%">width="23%"> .050 | > N width="20%">300 width="23%">300 | > Life Satisfaction width="28%">Pearson Correlation width="20%">-.113* width="23%">1 | > Sig. (2-tailed) width="20%">.050 width="23%">
| > N width="20%">300 width="23%">300 | > *. Correlation is significant at the 0.05 level (2-tailed). | |||||||
