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Article

The Value of Sport: Wellbeing Benefits of Sport Participation during Adolescence

1
Te Hau Kori, Faculty of Health, Victoria University of Wellington, Wellington 6140, New Zealand
2
School of Sport & Recreation, Auckland University of Technology, Auckland 1011, New Zealand
3
Sport New Zealand, Wellington 6140, New Zealand
4
Faculty of Health, University of Canterbury, Christchurch 8140, New Zealand
5
School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin 9016, New Zealand
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(14), 8579; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19148579
Submission received: 30 May 2022 / Revised: 8 July 2022 / Accepted: 9 July 2022 / Published: 14 July 2022
(This article belongs to the Special Issue Physical Activity and Wellbeing across the Lifespan)

Abstract

:
Insight into the unique benefits of sport participation above and beyond those associated with participation in other physical activities among adolescents is limited in Aotearoa New Zealand (NZ). The purpose of this study was to examine the association between wellbeing and organised sport participation among adolescents whilst accounting for demographic characteristics and other recreational physical activity. Demographic characteristics (age, gender, ethnicity, deprivation, (dis)ability status), organized sport, recreational physical activity, and wellbeing were assessed in cohorts of NZ adolescents (11–17 years) between 2017 and 2019. After adjusting for demographics, better wellbeing was associated with participation in any recreational physical activity (OR = 2.49, 95%CI = 1.97–3.13), meeting physical activity recommendations (OR = 1.63, 95%CI = 1.47–1.81), and each additional hour of recreational physical activity (OR = 1.03, 95%CI = 1.02–1.04). After adjusting for demographics and overall recreational physical activity participation, better wellbeing was also associated with participation in any organized sport (OR = 1.66, 95%CI = 1.49–1.86), and each additional hour of organized sport (OR = 1.09, 95%CI = 1.07–1.11). Although participation in recreational physical activity appears to be beneficial for wellbeing, organized sport appears to offer unique additional wellbeing benefits. Positive experiences of organized sport participation may offer additional wellbeing value above and beyond other recreational physical activity types in young people who are active.

1. Introduction

The promotion of national wellbeing is acknowledged as a priority internationally [1,2,3], including in Aotearoa New Zealand (NZ) where child and youth wellbeing in particular is increasingly being prioritized [4,5]. While there is ongoing conjecture concerning exactly what defines wellbeing internationally, in the NZ context, NZ’s Living Standards Framework (LSF) clearly sets forth 12 domains that comprise individual and collective wellbeing and the roles of institutions and organisations in facilitating wellbeing [6]. The development of the LSF was informed by decades of international wellbeing research [7].
There is an emerging evidence base supporting the wellbeing value of quality physical activity experiences. Numerous studies have indicated that there is a positive association between subjective wellbeing and physical activity [8,9]. Evidence among adolescents also suggests that there is a reciprocal relationship between physical activity and subjective wellbeing [10]. Beyond subjective wellbeing, there is a wealth of evidence demonstrating an association between physical activity and constructs related to wellbeing among children and adolescents, including: mental [11,12,13,14,15] and physical health [16]; social connections and support [17,18,19,20,21]; cognition, academic achievement, and physical literacy [12,22,23,24,25]; socio-economic status [26]; and, housing, environmental amenity, and safety [27,28,29,30,31].
Continuing to develop an understanding of the potential and nuanced contribution of physical activity and sport to population wellbeing is indicated. Evidence indicates that recreational physical activity may have an additional benefit to wellbeing beyond other domains of physical activity [32]. Similarly, sport participation may have benefits that are unique when compared to other forms of recreational physical activity [33]. However, limited conclusive evidence examining the contributions of different types of physical activity to wellbeing among adolescents is available [34], particularly in the context of NZ. Mixed findings from recent research concerning sport and wellbeing in NZ indicate that further investigation to better understand this relationship is warranted [35].
Thus, the aim of this study was to examine how wellbeing is associated with overall recreational physical activity and organised sport participation in young people, whilst accounting for a broad range of relevant socio-demographic characteristics [36]. This will provide an insight into the potential unique contribution to the wellbeing of young people of participation in organised sport vs. recreational physical activity more generally. In doing so, findings will offer an insight into whether quality sport experiences have an additional wellbeing benefit in a NZ context, as well as offer guidance as to what types of physical activity should be prioritised to optimise its contribution to the wellbeing of young people in NZ.

2. Materials and Methods

2.1. Participants and Procedures

Data were collected as a part of the Active NZ Young Peoples survey [37]. Data included in the current study were collected continuously from the beginning of 2017 to the end of 2019. Young people, children and adolescents aged 5–17 years at baseline, were recruited via adults residing in their household who were identified to participate in the Active NZ adults survey using the NZ electoral roll as a sampling frame. Full survey methods are detailed in the annual Active NZ Technical reports [38,39,40]. Participants who did not have complete socio-demographic characteristics, physical activity, and wellbeing data were excluded. Those younger than 11 years and those no longer at school were also excluded. The final analyses included data for 6771 young people.

2.2. Measures

2.2.1. Demographic Characteristics

Age: Participants identified their age in years.
Gender: Participants identified their gender (male, female, or gender diverse). Due to limited sample size for gender diverse our inferential analyses focused on cis-gender individuals.
Ethnicity: Participants identified their ethnic group(s), and there was no limit on the number of ethnicities they could choose. For the purposes of these analyses, participants who identified multiple ethnicities were categorised to only one ethnic group using the following prioritisation: Māori, Pasifika, Asian, Middle Eastern/Latin American/African (MELAA), European, other. These ethnic groups were selected based on those specified by Statistics NZ. Due to limited sample size for other ethnicities our inferential analyses did not include this group.
Disability status: Participants who did not report using a wheelchair, using a walking aid, using prosthetics, or dealing with an ongoing physical illness were classified as someone without a disability.
Deprivation status: Deprivation was determined using the 2018 NZ Index of Deprivation, which combines census data relating to income, home ownership, employment, qualifications, family structure, housing, access to transport and communications to designate small geographic areas (60–110 people) with a decile number ranging from 1 (least deprived) to 10 (most deprived) [41]. Participants were classified as residing in low (deciles 1–3), medium (deciles 4–7), and high (deciles 8–10) deprivation areas.

2.2.2. Physical Activity and Sport Participation

Participation: Participants were asked whether they had performed any physical activity that was specifically for the purpose of sport, exercise, or recreation in the past seven days (yes/no).
Those who answered yes were classified as participants in “recreational physical activity” and were then asked to identify from a list of 77 options which activities they participated in during the past seven days. There was also an “other” option provided with free text for participants to describe any activity they had performed that was not listed.
Setting: For activities that they had participated in, participants were asked in what settings they had participated in (“in PE or class at school”, “in a competition or tournament”, “training or practicing with a coach/instructor”, “playing or hanging out with family or friends”, “playing on my own”, or “for extra exercise, training, or practice without a coach or instructor”).
Duration: If participants indicated that they had participated in a given activity in a given setting they were asked how long they participated in the activity/setting in a given week (15 min, 30 min, 45 min, 1 h, 1.5 h, 2 h, 3 h, 4 h, or 5 h of more).
Physical activity and sport classification: The list of recreational physical activities included non-sport recreational activities (e.g., tramping or bush walks) and exercise (e.g., gym), as well as a range of sports. For the purpose of this study, the following activities were considered “sport physical activity”: Adventure racing, athletics, badminton, basketball, body boarding, boxing, canoeing or kayaking, cheerleading, cricket, croquet, cross country, cycling of biking, dance/dancing, football/soccer, futsal, golf, gymnastics, handball, hockey or floorball, indoor climbing, jiu jitsu, ki-o-rahi, kapa haka, karate, mountain biking, motorbiking, motocross, netball, orienteering, paddle boarding, parkour, rock climbing, rollerblading, roller skating, rowing, rugby or rippa rugby, rugby league, running/jogging, sailing or yachting, scuba diving, scootering, skateboarding, skiing, snowboarding, softball, squash, surf lifesaving, surfing, swimming, table tennis, taekwondo, tennis, touch, trampoline, triathlon or duathlon, ultimate frisbee, volleyball, waka ama, wake boarding, water polo or flippa ball, water skiing.
Recreational physical activity and organized sport definitions: Several recreational physical activity and organized sport variables were included in analyses in the current paper. These variables were defined as follows:
  • Physically active—participation in any recreational physical activity (active vs. inactive)
  • Recreational physical activity duration—sum of durations (hours/week) across all listed activities and settings
  • Meeting physical activity recommendations—≥420 min/week of recreational physical activity (meeting recommendations vs. not meeting recommendations) [42].
  • Organized sport participant—participation in any sport physical activity “in a competition or tournament” and/or “training or practicing with a coach/instructor” (participant vs. non-participant)
  • Organized sport activity duration—sum of durations (hours/week) for sport physical activity “in a competition or tournament” and/or “training or practicing with a coach/instructor”.

2.2.3. Wellbeing

Participants were asked to respond to a question rating their wellbeing on a 10-point scale ranging from 1 (very unhappy) to 10 (very happy). Whilst it is recognized that wellbeing is a multi-dimensional construct, the single item measure used in this study has been shown to be a valid overall wellbeing indicator and aligns with the OECD Guidelines on Measuring Subjective Wellbeing [43]. Based on the distribution of the data, participants whose response was ≥8 were categorized as having “better wellbeing”.

2.3. Statistical Analyses

Analyses were conducted using SPSS (Version 28.0, IBM, Armonk, NY, USA). Descriptive statistics were computed to describe the sample. Binary logistic regression analyses were conducted to examine the association between wellbeing and the various recreational physical activity and organized sport variables. Two different analyses were conducted for the association between wellbeing and the physical activity and organized sport variables: Model 1 was a crude unadjusted model; Model 2 was adjusted for socio-demographic characteristics. A third model was completed for the organized sport variables, which adjusted for socio-demographic characteristics and total recreational physical activity duration. We calculated 95% confidence intervals (CIs) for all of the odds ratios (ORs) reported and used these to assess statistical significance (i.e., 95% CIs not crossing 1.0 equivalent to p < 0.05).

3. Results

3.1. Participant Characteristics

Participant characteristics are reported in Table 1. The sample was relatively evenly split between males and females, and the majority were European (58.5%), were without a physical disability (94.7%), and resided in low–mid-deprivation areas (77.7%). Nearly all of the sample were active, i.e., reported participating in some physical activity (94.7%). The average duration of recreational physical activity participation was 10.9 ± 10.1 h/week and most of the sample reported participating in sufficient physical activity to meet physical activity recommendations (58.4%). The average duration of organized sport participation was 2.8 ± 3.6 h/week, with most of the sample reportedly participating in organized sport (63.5%). Most participants were categorized as having good wellbeing (63.0%), with an average response to the wellbeing item of 7.7 ± 1.7.

3.2. Association between Physical Activity/Organized Sport Participating and Wellbeing

All the physical activity and organized sport variables have a significant positive association with wellbeing in the crude model (Model 1). The results from Model 2 indicate that adolescents that do any recreational physical activity have 2.49 higher odds of having better wellbeing than those who do no recreational physical activity. Those who met physical activity recommendations had 63% higher odds of having better wellbeing than those below this threshold. The odds of having better wellbeing were also 3% higher for every additional hour of participation in any recreational physical activity. The results from Model 3 indicate that participation in organized sport was associated with 66% higher odds of having better wellbeing, independent of total recreational physical activity participation. Every additional hour of organized sport participation was associated with 9% higher odds of having better wellbeing, independent of total recreational physical activity participation (Table 2).

4. Discussion

Our results indicate that participating in recreational physical activity is positively associated with wellbeing during adolescence in NZ. Young people who do any recreational physical activity are more likely to have better wellbeing and there appeared to be additional benefit for each additional hour of participation. However, our findings also suggest that participation in organised sport was even more strongly associated with wellbeing outcomes for young people in NZ, even after taking into account total duration of recreational physical activity participation.
The positive association between physical activity participation and wellbeing among adolescents is consistent with previous research, which has also identified several potential neurobiological, psychosocial, and behavioural pathways for this relationship [10,12,44]. Our findings suggest that any recreational physical activity participation is better than none, and that there is a positive dose–response relationship. This also aligns with the dose–response curve observed in previous research examining the association between wellbeing and physical activity among adults [9]. The cross-sectional nature of our study prevents determination of the direction of causation for the associations between physical activity participation and wellbeing. Although there is strong evidence regarding the impact of physical activity participation on wellbeing [11,15,33,45,46,47,48], a reciprocal relationship is probable [10]. This means that while physical activity participation improves wellbeing it is also likely that better wellbeing facilitates greater physical activity participation (i.e., a virtuous cycle). Thus, beyond advocating for physical activity and sport to promote youth wellbeing, fostering youth wellbeing using other means could also directly contribute to enhancing participation in physical activity.
Our findings also indicate that participation in organized sport offers a unique benefit to wellbeing above and beyond participation in other recreational physical activities. This is consistent with the conclusions of a prior systematic review concerning the benefits of participation in sport for children and adolescents [33]. It is worth noting that the magnitude of the apparent benefit from additional participation in organized sport is considerably larger than that of additional participation in overall recreational physical activity in our study. This was the case for participating in any organized sport (i.e., vs. none) and for each additional hour of participation. That being said, it is well established that there is a limit beyond which the impact on wellbeing of additional participation in organized sport plateaus and may actually start to decrease. This is particularly pertinent when participation is driven by early specialization, which can contribute to burnout and musculoskeletal injuries stemming from overuse [49,50,51]. We were not able to examine this in our analyses due to limitations in the physical activity duration data available.
Although examining the mechanisms that explain why sport may offer benefits to wellbeing above and beyond participation in other recreational physical activities is beyond the scope of our study, we can surmise several hypotheses from the existing literature. Positive sporting experiences may provide young people with a better opportunity to realize benefits stemming from social connections and a sense of relatedness, competence, and achievement. The organized sport context in NZ is widely recognized as a space that aims to facilitate both bonding and bridging social capital in local communities [52]. There is also evidence from studies of young adults suggesting that more intrinsic motives (enjoyment and challenge) are associated with sport, whereas more extrinsic motives (appearance, weight, and stress management) are associated with exercise [53]. Indeed, evidence suggests that intrinsic motivation, perceived competence, and relatedness tend to be higher among adolescents who participate in sporting activities compared to those who participate in non-sporting physical activities or are inactive [54]. Positively influencing these interpersonal and intrapersonal characteristics are explicitly recognized as key objectives in the coach development pathways for numerous sports in NZ [55]. Given the prominence of “coaches” in how we have defined organized sport in this study, it is likely that experiences with sport coaches have directly contributed to our wellbeing findings.
The current study is not without limitations beyond its cross-sectional design. Self-report measures of physical activity tend to overestimate activity levels [56]. However, given our focus on physical activity behaviour (i.e., type of activity), rather than on duration of movement (i.e., device-based measures), self-report methods are the most pragmatic and valid way to collect data from an adequate sample as in our study. There are also limitations in the way we have measured wellbeing. Although the single item we used does not encompass all of the domains of wellbeing outlined in the LSF, such single items have been shown to be valid and robust measures of overall wellbeing internationally [57]. However, it is unknown how well the wellbeing single item we used captures the wellbeing of Māori and/or Pacific people in NZ. Wellbeing described by these population groups emphasizes interpersonal relationships (particularly whānau and family), culture, religion, connectedness, belonging, and geographical dimensions [58,59,60,61]. Consequently, further research is warranted to understand the relevance of our findings in these population groups and more broadly across all of the wellbeing domains outlined in the LSF and other constructs of wellbeing for different population groups.

5. Conclusions

In summary, participation in organized sport appears to offer a unique benefit to wellbeing above and beyond participation in other recreational physical activities. Thus, while quality experiences of recreational physical activity are evidently beneficial for wellbeing, promoting participation in organized sport may offer greater value for those who are already active. Further investigation into whether the wellbeing benefits of sport vary based on setting and/or type of sporting activity is warranted, as is further research on understanding the mechanisms that underpin why sport may offer benefits beyond those of other recreational physical activities in different population groups.

Author Contributions

Conceptualization, all authors; methodology, O.W.A.W., C.W. and J.R.; software, O.W.A.W.; formal analysis, O.W.A.W., C.W. and J.R.; resources, C.W., S.W. and J.R.; data curation, O.W.A.W. and J.R.; writing—original draft preparation, O.W.A.W., C.W. and J.R.; writing—review and editing, all authors; project administration, O.W.A.W., C.W., S.W., S.K., D.E. and J.R.; funding acquisition, C.W. and S.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by funding from the Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to its use of publicly available de-identified data.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Publicly available datasets were analysed in this study. This data can be provided on request from [email protected].

Acknowledgments

We thank Janette Brocklesby, Stefanie Ruckpaul, Jay Carlsen, Bridgette Lynch, Hamish McEwen, and The Nielsen Company for their contribution to managing the collection of the data used for this project.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. World Health Organisation. Health and Wellbeing. Available online: https://www.who.int/data/gho/data/major-themes/health-and-well-being (accessed on 1 March 2022).
  2. United Nations. Ensure Healthy Lives and Promote Well-Being for All at All Ages. 2022. Available online: https://sdgs.un.org/goals/goal3 (accessed on 1 March 2022).
  3. Organisation for Economic Co-Operation and Development. Measuring Well-Being and Progress: Well-Being Research. 2022. Available online: https://www.oecd.org/wise/measuring-well-being-and-progress.htm (accessed on 1 March 2022).
  4. Ministry of Health-Manatū Hauora. Strategic Intentions 2021–2025; Ministry of Health-Manatū Hauora: Wellington, NewZealand, 2021. Available online: https://www.health.govt.nz/publication/strategic-intentions-2021-25 (accessed on 1 March 2022).
  5. Department of the Prime Minister and Cabinet-Te Tari o te Pirimia me te Komiti Matua. Child and Youth Wellbeing: The Strategy Framework. Available online: https://childyouthwellbeing.govt.nz/our-aspirations/strategy-framework (accessed on 3 March 2022).
  6. The Treasury-Te Tai Ōhanga. The Living Standards Framework 2021. Available online: https://www.treasury.govt.nz/sites/default/files/2021-10/tp-living-standards-framework-2021.pdf (accessed on 3 March 2022).
  7. Organisation for Economic Co-Operation and Development. How’s Life? Organisation for Economic Co-Operation and Development: Paris, France, 2020. [Google Scholar] [CrossRef]
  8. Zhang, Z.; Chen, W. A systematic review of the relationship between physical activity and happiness. J. Happiness Stud. 2019, 20, 1305–1322. [Google Scholar] [CrossRef]
  9. Richards, J.; Jiang, X.; Kelly, P.; Chau, J.; Bauman, A.; Ding, D. Don’t worry, be happy: Cross-sectional associations between physical activity and happiness in 15 European countries. BMC Public Health 2015, 15, 53. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. van Woudenberg, T.J.; Bevelander, K.E.; Burk, W.J.; Buijzen, M. The reciprocal effects of physical activity and happiness in adolescents. Int. J. Behav. Nutr. Phys. Act. 2020, 17, 147. [Google Scholar] [CrossRef] [PubMed]
  11. Biddle, S.J.H.; Ciaccioni, S.; Thomas, G.; Vergeer, I. Physical activity and mental health in children and adolescents: An updated review of reviews and an analysis of causality. Psychol. Sport Exerc. 2019, 42, 146–155. [Google Scholar] [CrossRef]
  12. Lubans, D.; Richards, J.; Hillman, C.; Faulkner, G.; Beauchamp, M.; Nilsson, M.; Kelly, P.; Smith, J.; Raine, L.; Biddle, S. Physical activity for cognitive and mental health in youth: A systematic review of mechanisms. Pediatrics 2016, 138, e20161642. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. McMahon, E.M.; Corcoran, P.; O’Regan, G.; Keeley, H.; Cannon, M.; Carli, V.; Wasserman, C.; Hadlaczky, G.; Sarchiapone, M.; Apter, A. Physical activity in European adolescents and associations with anxiety, depression and well-being. Eur. Child Adolesc. Psychiatry 2017, 26, 111–122. [Google Scholar] [CrossRef]
  14. Panza, M.J.; Graupensperger, S.; Agans, J.P.; Doré, I.; Vella, S.A.; Evans, M.B. Adolescent Sport Participation and Symptoms of Anxiety and Depression: A Systematic Review and Meta-Analysis. J. Sport Exerc. Psychol. 2020, 42, 201–218. [Google Scholar] [CrossRef]
  15. Rodriguez-Ayllon, M.; Cadenas-Sánchez, C.; Estévez-López, F.; Muñoz, N.E.; Mora-Gonzalez, J.; Migueles, J.H.; Molina-García, P.; Henriksson, H.; Mena-Molina, A.; Martínez-Vizcaíno, V.; et al. Role of physical activity and sedentary behavior in the mental Health of preschoolers, children and adolescents: A systematic review and meta-analysis. Sports Med. 2019, 49, 1383–1410. [Google Scholar] [CrossRef]
  16. Lee, J.E.; Pope, Z.; Gao, Z. The role of youth sports in promoting children’s physical activity and preventing pediatric obesity: A systematic review. Behav. Med. 2018, 44, 62–76. [Google Scholar] [CrossRef]
  17. Macdonald-Wallis, K.; Jago, R.; Sterne, J.A.C. Social network analysis of childhood and youth physical activity: A systematic review. Am. J. Prev. Med. 2012, 43, 636–642. [Google Scholar] [CrossRef]
  18. Beets, M.W.; Cardinal, B.J.; Alderman, B.L. Parental social support and the physical activity-related behaviors of youth: A review. Health Educ. Behav. 2010, 37, 621–644. [Google Scholar] [CrossRef]
  19. Laird, Y.; Fawkner, S.; Kelly, P.; McNamee, L.; Niven, A. The role of social support on physical activity behaviour in adolescent girls: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 2016, 13, 79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Draper, C.E.; Grobler, L.; Micklesfield, L.K.; Norris, S.A. Impact of social norms and social support on diet, physical activity and sedentary behaviour of adolescents: A scoping review. Child Care Health Dev. 2015, 41, 654–667. [Google Scholar] [CrossRef] [PubMed]
  21. Mendonça, G.; Cheng, L.A.; Mélo, E.N.; de Farias Júnior, J.C. Physical activity and social support in adolescents: A systematic review. Health Educ. Res. 2014, 29, 822–839. [Google Scholar] [CrossRef] [PubMed]
  22. Caldwell, H.A.T.; Di Cristofaro, N.A.; Cairney, J.; Bray, S.R.; MacDonald, M.J.; Timmons, B.W. Physical literacy, physical activity, and health indicators in school-age children. Int. J. Environ. Health Res. Public Health 2020, 17, 5367. [Google Scholar] [CrossRef] [PubMed]
  23. Belanger, K.; Barnes, J.D.; Longmuir, P.E.; Anderson, K.D.; Bruner, B.; Copeland, J.L.; Gregg, M.J.; Hall, N.; Kolen, A.M.; Lane, K.N.; et al. The relationship between physical literacy scores and adherence to Canadian physical activity and sedentary behaviour guidelines. BMC Public Health 2018, 18, 1042. [Google Scholar] [CrossRef]
  24. Donnelly, J.E.; Hillman, C.H.; Castelli, D.; Etnier, J.L.; Lee, S.; Tomporowski, P.; Lambourne, K.; Szabo-Reed, A.N. Physical activity, fitness, cognitive function, and academic achievement in children: A systematic review. Med. Sci. Sports Exerc. 2016, 48, 1197–1222. [Google Scholar] [CrossRef] [Green Version]
  25. Barbosa, A.; Whiting, S.; Simmonds, P.; Scotini Moreno, R.; Mendes, R.; Breda, J. Physical activity and academic achievement: An umbrella review. Int. J. Environ. Health Res. Public Health 2020, 17, 5972. [Google Scholar] [CrossRef]
  26. Stalsberg, R.; Pedersen, A.V. Effects of socioeconomic status on the physical activity in adolescents: A systematic review of the evidence. Scand. J. Med. Sci. Sports 2010, 20, 368–383. [Google Scholar] [CrossRef]
  27. Tappe, K.A.; Glanz, K.; Sallis, J.F.; Zhou, C.; Saelens, B.E. Children’s physical activity and parents’ perception of the neighborhood environment: Neighborhood impact on kids study. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 39. [Google Scholar] [CrossRef] [Green Version]
  28. McCrorie, P.R.W.; Fenton, C.; Ellaway, A. Combining GPS, GIS, and accelerometry to explore the physical activity and environment relationship in children and young people—A review. Int. J. Behav. Nutr. Phys. Act. 2014, 11, 93. [Google Scholar] [CrossRef] [Green Version]
  29. Ding, D.; Sallis, J.F.; Kerr, J.; Lee, S.; Rosenberg, D.E. Neighborhood environment and physical activity among youth: A review. Am. J. Prev. Med. 2011, 41, 442–455. [Google Scholar] [CrossRef] [PubMed]
  30. D’Haese, S.; Van Dyck, D.; De Bourdeaudhuij, I.; Deforche, B.; Cardon, G. The association between the parental perception of the physical neighborhood environment and children’s location-specific physical activity. BMC Public Health 2015, 15, 565. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Carver, A.; Timperio, A.; Crawford, D. Playing it safe: The influence of neighbourhood safety on children’s physical activity—A review. Health Place 2008, 14, 217–227. [Google Scholar] [CrossRef] [PubMed]
  32. White, R.L.; Parker, P.D.; Lubans, D.R.; MacMillan, F.; Olson, R.; Astell-Burt, T.; Lonsdale, C. Domain-specific physical activity and affective wellbeing among adolescents: An observational study of the moderating roles of autonomous and controlled motivation. Int. J. Behav. Nutr. Phys. Act. 2018, 15, 87. [Google Scholar] [CrossRef]
  33. Eime, R.M.; Young, J.A.; Harvey, J.T.; Charity, M.J.; Payne, W.R. 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. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 98. [Google Scholar] [CrossRef] [Green Version]
  34. Piñeiro-Cossio, J.; Fernández-Martínez, A.; Nuviala, A.; Pérez-Ordás, R. Psychological wellbeing in physical education and school sports: A systematic review. Int. J. Environ. Res. Public Health 2021, 18, 864. [Google Scholar] [CrossRef]
  35. McGifford, O. Investigating the Effect of Sports Participation on the Mental Health and Wellbeing of Adolescents in New Zealand; Victoria University of Wellington: Wellington, New Zealand, 2021. [Google Scholar]
  36. Bauman, A.E.; Reis, R.S.; Sallis, J.F.; Wells, J.C.; Loos, R.J.; Martin, B.W. Correlates of physical activity: Why are some people physically active and others not? Lancet 2012, 380, 258–271. [Google Scholar] [CrossRef]
  37. Sport New Zealand Ihi Aotearoa. Active NZ Surveys. Available online: https://sportnz.org.nz/research-and-insights/surveys-and-data/active-nz/ (accessed on 4 March 2022).
  38. Sport New Zealand Ihi Aotearoa. Active NZ and Active NZ Young People Technical Report for Data Collected in 2019; The Nielsen Company: New York, NY, USA, 2020; Available online: https://sportnz.org.nz/media/3587/201027-year-3-2019-technical-report.pdf (accessed on 4 March 2022).
  39. Sport New Zealand Ihi Aotearoa. Active NZ and Active NZ Young People Technical Report for Data Collected in 2018; The Nielsen Company: New York, NY, USA, 2019; Available online: https://sportnz.org.nz/media/1468/active-nz-technical-report-2018.pdf (accessed on 4 March 2022).
  40. Sport New Zealand Ihi Aotearoa. Active NZ and Active NZ Young People Technical Report for Data Collected in 2017; The Nielsen Company: New York, NY, USA, 2018; Available online: https://sportnz.org.nz/media/1512/active-nz-2017-technical-report.pdf (accessed on 4 March 2022).
  41. Atkinson, J.; Salmond, C.; Crampton, P. NZDep2013 Index of Deprivation; University of Otago: Dunedin, New Zealand, 2014. [Google Scholar]
  42. Bull, F.C.; Al-Ansari, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.-P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 2020, 54, 1451. [Google Scholar] [CrossRef]
  43. OECD. OECD Guidelines on Measuring Subjective Well-being; OECD Publishing: Paris, France, 2013. [Google Scholar]
  44. Ussher, M.H.; Owen, C.G.; Cook, D.G.; Whincup, P.H. The relationship between physical activity, sedentary behaviour and psychological wellbeing among adolescents. Soc. Psychiatry Psychiatr. Epidemiol. 2007, 42, 851–856. [Google Scholar] [CrossRef]
  45. Rafferty, R.; Breslin, G.; Brennan, D.; Hassan, D. A systematic review of school-based physical activity interventions on children’s wellbeing. Int. Rev. Sport Exerc. Psychol. 2016, 9, 215–230. [Google Scholar] [CrossRef]
  46. Vaquero-Solís, M.; Gallego, D.I.; Tapia-Serrano, M.Á.; Pulido, J.J.; Sánchez-Miguel, P.A. School-based physical activity interventions in children and adolescents: A systematic review. Int. J. Environ. Res. Public Health 2020, 17, 999. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Lubans, D.R.; Plotnikoff, R.C.; Lubans, N.J. Review: A systematic review of the impact of physical activity programmes on social and emotional well-being in at-risk youth. Child Adolesc. Ment. Health 2012, 17, 2–13. [Google Scholar] [CrossRef] [PubMed]
  48. Hale, G.E.; Colquhoun, L.; Lancastle, D.; Lewis, N.; Tyson, P.J. Review: Physical activity interventions for the mental health and well-being of adolescents–A systematic review. Child Adolesc. Ment. Health 2021, 26, 357–368. [Google Scholar] [CrossRef] [PubMed]
  49. Harris, B.S.; Watson, J.C. Developmental considerations in youth athlete burnout: A model for youth sport participants. J. Clin. Sport Psychol. 2014, 8, 1–18. [Google Scholar] [CrossRef]
  50. DiFiori, J.P.; Benjamin, H.J.; Brenner, J.S.; Gregory, A.; Jayanthi, N.; Landry, G.L.; Luke, A. Overuse injuries and burnout in youth sports: A position statement from the American Medical Society for Sports Medicine. Br. J. Sports Med. 2014, 48, 287–288. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. McGowan, J.; Whatman, C.; Walters, S. The associations of early specialisation and sport volume with musculoskeletal injury in New Zealand children. J. Sci. Med. Sport 2020, 23, 139–144. [Google Scholar] [CrossRef] [PubMed]
  52. Sport New Zealand-Ihi Aotearoa. The Value of Sport: Main Report; Sport New Zealand-Ihi Aotearoa: Wellington, New Zealand, 2017. [Google Scholar]
  53. Kilpatrick, M.; Hebert, E.; Bartholomew, J. College students’ motivation for physical activity: Differentiating men’s and women’s motives for sport participation and exercise. J. Am. Coll. Health 2005, 54, 87–94. [Google Scholar] [CrossRef]
  54. Lawler, M.; Heary, C.; Nixon, E. Variations in adolescents’ motivational characteristics across gender and physical activity patterns: A latent class analysis approach. BMC Public Health 2017, 17, 661. [Google Scholar] [CrossRef] [Green Version]
  55. Walters, S.R.; Rogers, A.; Oldham, A. A competency-based approach to coach learning: The Sport New Zealand Coach Developer program. In Coach Education and Development in Sport: Instructional Strategies; Callary, B., Gearity, B., Eds.; Routledge: New York, NY, USA, 2020; pp. 154–165. [Google Scholar]
  56. Sallis, J.F.; Saelens, B.E. Assessment of physical activity by self-report: Status, limitations, and future directions. Res. Q. Exerc. Sport 2000, 71, 1–14. [Google Scholar] [CrossRef]
  57. Diener, E.; Oishi, S.; Tay, L. Advances in subjective well-being research. Nat. Hum. Behav. 2018, 2, 253–260. [Google Scholar] [CrossRef] [PubMed]
  58. Panelli, R.; Tipa, G. Placing well-being: A Maori case study of cultural and environmental specificity. EcoHealth 2007, 4, 445–460. [Google Scholar] [CrossRef]
  59. Manuela, S.; Sibley, C.G. The Pacific Identity and Wellbeing Scale (PIWBS): A culturally-appropriate self-report measure for Pacific Peoples in New Zealand. Soc. Indic. Res. 2013, 112, 83–103. [Google Scholar] [CrossRef]
  60. Thomsen, S.; Tavita, J.; Zsontell, L.-T. A Pacific Perspective on the Living Standards Framework and Wellbeing; Ōhanga, T.T.-T.T., Ed.; New Zealand Government, The Treasury: Wellington, New Zealand, 2018. [Google Scholar]
  61. Ministry of Māori Development-Te Puni Kōkiri; The Treasury-Te Tai Ōhanga. An Indigenous Approach to the Living Standards Framework. 2019. Available online: https://www.treasury.govt.nz/sites/default/files/2019-01/dp19-01.pdf (accessed on 8 March 2022).
Table 1. Participant characteristics.
Table 1. Participant characteristics.
n%
Gender
Boys303344.8
Girls370854.8
Another gender300.4
Ethnicity
European477270.5
Māori105215.2
Pasifika2103.1
Asian6659.7
MELAA861.3
Other160.2
Disability status
Without physical disability640794.6
With physical disability3645.4
Social deprivation
Low deprivation282741.8
Mid deprivation271440.1
High deprivation123018.2
Table 2. Binary logistic regression analyses examining the association between physical activity/organized sport participation and wellbeing.
Table 2. Binary logistic regression analyses examining the association between physical activity/organized sport participation and wellbeing.
Model 1Model 2Model 3
OR (95%CI)
Active (any physical activity; referent: no physical activity)3.07 (2.46–3.83)2.49 (1.97–3.13)
Meeting physical activity recs (≥420 min/week)1.85 (1.67–2.04)1.63 (1.47–1.81)
Physical activity (hours/week)1.04 (1.03–1.04)1.03 (1.02–1.04).
Any organized sport (referent: no organized sport)1.96 (1.77–2.18)1.78 (1.60–1.98)1.66 (1.49–1.86)
Organized sport duration (hours/week)1.12 (1.10–1.13)1.11 (1.09–1.13)1.09 (1.07–1.11)
Note. Model 1—no adjustments; Model 2—adjusted for socio-demographic characteristics; Model 3—adjusted for socio-demographic characteristics and total physical activity.
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Wilson, O.W.A.; Whatman, C.; Walters, S.; Keung, S.; Enari, D.; Rogers, A.; Millar, S.-K.; Ferkins, L.; Hinckson, E.; Hapeta, J.; et al. The Value of Sport: Wellbeing Benefits of Sport Participation during Adolescence. Int. J. Environ. Res. Public Health 2022, 19, 8579. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19148579

AMA Style

Wilson OWA, Whatman C, Walters S, Keung S, Enari D, Rogers A, Millar S-K, Ferkins L, Hinckson E, Hapeta J, et al. The Value of Sport: Wellbeing Benefits of Sport Participation during Adolescence. International Journal of Environmental Research and Public Health. 2022; 19(14):8579. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19148579

Chicago/Turabian Style

Wilson, Oliver W. A., Chris Whatman, Simon Walters, Sierra Keung, Dion Enari, Andy Rogers, Sarah-Kate Millar, Lesley Ferkins, Erica Hinckson, Jeremy Hapeta, and et al. 2022. "The Value of Sport: Wellbeing Benefits of Sport Participation during Adolescence" International Journal of Environmental Research and Public Health 19, no. 14: 8579. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19148579

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