Physical activity improves mental health through resilience in Hong Kong Chinese adolescents

Frederick Ka Wing Ho, Lobo Hung Tak Louie, Chun Bong Chow, Wilfred Hing Sang Wong, Patrick Ip, Frederick Ka Wing Ho, Lobo Hung Tak Louie, Chun Bong Chow, Wilfred Hing Sang Wong, Patrick Ip

Abstract

Background: Adolescent mental health problems are global public health concern. Primary prevention through physical activity (PA) has been suggested as a potential approach to tackling this problem. Studies in Western countries have provided some evidence of a relationship between PA and adolescent mental health, but the evidence in China is not sufficient. Furthermore, the mechanism behind this relationship has not been empirically tested. The present study aimed at testing the association between PA and mental well-being of Chinese adolescents and to investigate whether a psychological (self-efficacy and resilience) and social (school and family connectedness) mediation model is valid to explain such a relationship.

Methods: A total of 775 Chinese students in Grades 7 and 8 were recruited in this cross-sectional study. The participants were given questionnaires to assess their PA level, mental well-being, and the potential mediators. Path models were used to analyse the association between PA and mental well-being, and the roles of potential mediators.

Results: The PA level was significantly correlated with the adolescent's mental well-being (r = 0.66, p < 0.001), self-efficacy (r = 0.21, p < 0.001), and resilience (r = 0.25, p < 0.001), but not with school connectedness (r = 0.05, p = 0.15) or family connectedness (r = 0.06, p = 0.13). After adjusting for potential confounders in the path model, the PA level was significantly associated with mental well-being (b = 0.52, p < 0.001), and resilience was the only significant mediator (b = 0.31, p < 0.001), which contributed to 60% of this relationship.

Conclusions: There was a significant positive association between the PA level and mental well-being of Chinese adolescents. Resilience mediated the majority of this relationship. Promoting physical activities that build up resilience could be a promising way to improve adolescent mental health.

Figures

Figure 1
Figure 1
Structural diagram of the single-mediator path models in the three causal conceptualisations. Residuals and potential confounders (SES and gender) were omitted from the diagram for a clearer presentation.
Figure 2
Figure 2
Structural diagram of the multiple-mediator path model. Residuals, covariance estimates and potential confounders (SES and gender) were omitted from the diagram for a clearer presentation. Coefficient estimates with standard errors in parentheses are shown on the paths.

References

    1. Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013;382(9904):1575–86. doi: 10.1016/S0140-6736(13)61611-6.
    1. Johnson EO, Roth T, Schultz L, Breslau N. Epidemiology of DSM-IV insomnia in adolescence: lifetime prevalence, chronicity, and an emergent gender difference. Pediatrics. 2006;117(2):e247–56. doi: 10.1542/peds.2004-2629.
    1. Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O, et al. Child and adolescent mental health worldwide: evidence for action. Lancet. 2011;378(9801):1515–25. doi: 10.1016/S0140-6736(11)60827-1.
    1. Leung PW, Hung S-f, Ho T-p, Lee C-c, Liu W-s, Tang C-p, et al. Prevalence of DSM-IV disorders in Chinese adolescents and the effects of an impairment criterion. Eur Child Adolesc Psychiatry. 2008;17(7):452–61. doi: 10.1007/s00787-008-0687-7.
    1. Strong WB, Malina RM, Blimkie CJ, Daniels SR, Dishman RK, Gutin B, et al. Evidence based physical activity for school-age youth. J Pediatr. 2005;146(6):732–7. doi: 10.1016/j.jpeds.2005.01.055.
    1. Biddle SJ, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45(11):886–95. doi: 10.1136/bjsports-2011-090185.
    1. Sagatun A, Søgaard AJ, Bjertness E, Selmer R, Heyerdahl S. The association between weekly hours of physical activity and mental health: a three-year follow-up study of 15–16-year-old students in the city of Oslo, Norway. BMC Public Health. 2007;7(1):155. doi: 10.1186/1471-2458-7-155.
    1. Fernando S. Mental health, race and culture. Basingstoke, UK: Palgrave Macmillan; 2010.
    1. Hong X, Li J, Xu F, Lap AT, Liang Y, Wang Z, et al. Physical activity inversely associated with the presence of depression among urban adolescents in regional China. BMC Public Health. 2009;9(1):148. doi: 10.1186/1471-2458-9-148.
    1. Fox KR. The influence of physical activity on mental well-being. Public Health Nutr. 1999;2(3a):411–8. doi: 10.1017/S1368980099000567.
    1. Peluso MAM, Andrade LHSG. Physical activity and mental health: the association between exercise and mood. Clinics. 2005;60(1):61–70. doi: 10.1590/S1807-59322005000100012.
    1. Paluska SA, Schwenk TL. Physical activity and mental health. Sports Med. 2000;29(3):167–80. doi: 10.2165/00007256-200029030-00003.
    1. Sawyer MG, Arney FM, Baghurst PA, Clark JJ, Graetz BW, Kosky RJ, et al. The mental health of young people in Australia: key findings from the child and adolescent component of the national survey of mental health and well‐being. Aust N Z J Psychiatry. 2001;35(6):806–14. doi: 10.1046/j.1440-1614.2001.00964.x.
    1. Census and Statistics Department . Basic tables for tertiary planning units. Hong Kong: Census and Statistics Department of the Hong Kong Government; 2007.
    1. Fong DY, Lam CL, Mak KK, Lo WS, Lai YK, Ho SY, et al. The short form-12 health survey was a valid instrument in Chinese adolescents. J Clin Epidemiol. 2010;63(9):1020–9. doi: 10.1016/j.jclinepi.2009.11.011.
    1. Baumgartner TA, Jackson AS. Measurement for evaluation in physical education and exercise science. New York: McGraw-Hill; 1998.
    1. Aaron DJ, Kriska AM, Dearwater SR, Anderson RL, Olsen TL, Cauley JA, et al. The epidemiology of leisure physical activity in an adolescent population. Med Sci Sports Exerc. 1993;25(7):847–53. doi: 10.1249/00005768-199307000-00014.
    1. Hui S. Proceedings of the 2001 Asia-Pacific Rim Conference on Exercise and Sports Science: the new perspective of exercise & sports science for the better life in the 21st century. Seoul, Korea: Seoul National University; 2001. Criterion-related validity of a 0–10 scale physical activity rating in Chinese youth.
    1. Kong AP, Choi K-C, Li AM, Hui SS, Chan MH, Wing Y, et al. Association between physical activity and cardiovascular risk in Chinese youth independent of age and pubertal stage. BMC Public Health. 2010;10(1):303. doi: 10.1186/1471-2458-10-303.
    1. Schwarzer R, Bäßler J, Kwiatek P, Schröder K, Zhang JX. The assessment of optimistic self‐beliefs: comparison of the German, Spanish, and Chinese versions of the general self‐efficacy scale. Appl Psychol. 2008;46(1):69–88. doi: 10.1111/j.1464-0597.1997.tb01096.x.
    1. Connor KM, Davidson JR. Development of a new resilience scale: the Connor‐Davidson Resilience Scale (CD‐RISC) Depress Anxiety. 2003;18(2):76–82. doi: 10.1002/da.10113.
    1. Yu XN, Lau JT, Mak WW, Zhang J, Lui WW, Zhang J. Factor structure and psychometric properties of the Connor-Davidson Resilience Scale among Chinese adolescents. Compr Psychiatry. 2011;52(2):218–24. doi: 10.1016/j.comppsych.2010.05.010.
    1. Resnick MD, Bearman PS, Blum RW, Bauman KE, Harris KM, Jones J, et al. Protecting adolescents from harm: findings from the National Longitudinal Study on Adolescent Health. JAMA. 1997;278(10):823–32. doi: 10.1001/jama.1997.03550100049038.
    1. Furlong MJ, O’brennan LM, You S. Psychometric properties of the Add Health School Connectedness Scale for 18 sociocultural groups. Psychol Schools. 2011;48(10):986–97. doi: 10.1002/pits.20609.
    1. Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459–68. doi: 10.1093/heapol/czl029.
    1. Efron B. Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods. Biometrika. 1981;68(3):589–99. doi: 10.1093/biomet/68.3.589.
    1. Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. Electron J Bus Res Methods. 2008;6(1):53–60.
    1. Graham JW, Olchowski AE, Gilreath TD. How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prev Sci. 2007;8(3):206–13. doi: 10.1007/s11121-007-0070-9.
    1. Kim KH. The relation among fit indexes, power, and sample size in structural equation modeling. Struct Equation Modeling. 2005;12(3):368–90. doi: 10.1207/s15328007sem1203_2.
    1. United Nations Development Programme China . China National Human Development Report 2013: sustainable and liveable cities: toward ecological civilization. Beijing: United Nations Development Programme China; 2014.
    1. Chen F, Yang Y, Liu G. Social change and socioeconomic disparities in health over the life course in China a cohort analysis. Am Sociol Rev. 2010;75(1):126–50. doi: 10.1177/0003122409359165.
    1. Lam S-f, Lau IY, Chiu C-y, Hong Y-y, Peng S-q. Differential emphases on modernity and Confucian values in social categorization: the case of Hong Kong adolescents in political transition. Int J Intercultural Relat. 1999;23(2):237–56. doi: 10.1016/S0147-1767(98)00037-6.
    1. Cohen J. A power primer. Psychol Bull. 1992;112(1):155. doi: 10.1037/0033-2909.112.1.155.
    1. Chen H, Cohen P, Chen S. How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Commun Stat Simul Comput. 2010;39(4):860–4. doi: 10.1080/03610911003650383.
    1. Ko G, Tsang P, Chan H. A 10-week Tai-Chi program improved the blood pressure, lipid profile and SF-36 scores in Hong Kong Chinese women. Med Sci Monit. 2006;12(5):CR196–9.
    1. Wang YT, Taylor L, Pearl M, Chang L-S. Effects of Tai Chi exercise on physical and mental health of college students. Am J Chin Med. 2004;32(03):453–9. doi: 10.1142/S0192415X04002107.
    1. Janney CA, Richardson CR, Holleman RG, Glasheen C, Strath SJ, Conroy MB, et al. Gender, mental health service use and objectively measured physical activity: data from the National Health and Nutrition Examination Survey (NHANES 2003–2004) Ment Health Phys Act. 2008;1(1):9–16. doi: 10.1016/j.mhpa.2008.05.001.
    1. Elling A, Knoppers A. Sport, gender and ethnicity: practises of symbolic inclusion/exclusion. J Youth Adolesc. 2005;34(3):257–68. doi: 10.1007/s10964-005-4311-6.
    1. Garmezy N, Masten AS, Tellegen A. The study of stress and competence in children: a building block for developmental psychopathology. Child Dev. 1984;55(1):97–111. doi: 10.2307/1129837.
    1. LePine JA, LePine MA, Jackson CL. Challenge and hindrance stress: relationships with exhaustion, motivation to learn, and learning performance. J Appl Psychol. 2004;89(5):883. doi: 10.1037/0021-9010.89.5.883.
    1. Edward K-l. Resilience: a protector from depression. J Am Psychiatric Nurses Assoc. 2005;11(4):241–3. doi: 10.1177/1078390305281177.
    1. Holt NL. Positive youth development through sport. London: Routledge; 2007.
    1. Fraser-Thomas JL, Côté J, Deakin J. Youth sport programs: an avenue to foster positive youth development. Phys Educ Sport Pedagogy. 2005;10(1):19–40. doi: 10.1080/1740898042000334890.
    1. Martinek TJ, Hellison DR. Fostering resiliency in underserved youth through physical activity. Quest. 1997;49(1):34–49. doi: 10.1080/00336297.1997.10484222.

Source: PubMed

3
Tilaa