Abstract
Background:
The rising prevalence of non-communicable diseases (NCDs) has become a serious public health issue. Among the multi-factorial drivers behind NCDs are modifiable health risk factors, most notably, physical inactivity.
Objective:
In response to the nearly global policy priority of encouraging regular participation in physical activity, the objective of the present study is to examine the factors that determine participation in physical activity among Malaysian adolescents.
Methods:
Nationally representative data consisting of a large sample size was used. A censored regression model was developed to estimate the likelihood of participation and time spent on physical activity.
Results:
There are significant relationships between physical activity and gender, ethnicity, self-rated academic performance, maternal education, household size and time spent on physical education.
Conclusion:
The present study provides new insights into the factors affecting physical activity participation among adolescents. Specifically, self-rated excellent academic performance, household size and physical education can increase the likelihood of being physically active. Evidence of the present study implies that policy makers should pay special attention to females, Chinese, adolescents with self-rated poor academic performance and adolescents who have low maternal education.
Acknowledgments
The authors would like to thank the Director General of Health, Malaysia for his permission to use the data from the Malaysian Adolescent Health Risk Behaviour (MyAHRB) and to publish this paper.
References
1. World Health Organization. Global status report on non-communicable diseases 2010. Geneva: World Health Organization, 2011.Search in Google Scholar
2. Cheah YK, Poh BK. The determinants of participation in physical activity in Malaysia. Osong Public Health Res Perspect 2014;5:20–7.10.1016/j.phrp.2013.12.002Search in Google Scholar PubMed PubMed Central
3. World Health Organization. Factsheet: physical activity. Available at: http://www.who.int/mediacentre/factsheets/fs385/en/.Search in Google Scholar
4. World Health Organization. Global recommendations on physical activity for health. Geneva: World Health Organization, 2010.Search in Google Scholar
5. Institute for Public Health. National Health and Morbidity Survey 2011: non-communicable diseases. Putrajaya: Ministry of Health Malaysia, 2011.Search in Google Scholar
6. The Star. Obesity: disease of the new millennium. Available at: http://www.thestar.com.my/Lifestyle/Health/2012/03/28/Obesity-Disease-of-the-new-millennium/.Search in Google Scholar
7. Sothern MS, Loftin M, Suskind RM, Udall JN, Blecker U. The health benefits of physical activity in children and adolescents: implications for chronic disease prevention. Eur J Pediatr 1999;158:271–4.10.1007/s004310051070Search in Google Scholar PubMed
8. Gordon-Larsen P, McMurray RG, Popkin BM. Determinants of adolescent physical activity and inactivity patterns. Pediatr 2000;105:E83.10.1542/peds.105.6.e83Search in Google Scholar PubMed
9. Daud NM, Idris AS, Manaf NA, Mudzaffar FA. Relationship between sports involvement and students’ performance in Malaysian university. Int J Undergrad Stud 2013;2:32–9.Search in Google Scholar
10. de Rezende LF, Azeredo CM, Canella DS, Claro RM, de Castro IR, et al. Sociodemographic and behavioural factors associated with physical activity in Brazilian adolescents. BMC Public Health 2014;14:485.10.1186/1471-2458-14-485Search in Google Scholar PubMed PubMed Central
11. Institute for Public Health. The Third National Health and Morbidity Survey. Putrajaya: Ministry of Health Malaysia, 2008.Search in Google Scholar
12. Downward P. Exploring the economic choice to participate in sport: results from the 2002 general household survey. Int Rev Appl Econ 2007;21:633–53.10.1080/02692170701474710Search in Google Scholar
13. Downward P, Rasciute S. The relative demands for sports and leisure in England. Eur Sport Manage Quart 2010;10:189–214.10.1080/16184740903552037Search in Google Scholar
14. Eberth B, Smith MD. Modelling the participation decision and duration of sporting activity in Scotland. Econ Model 2010;27:822–34.10.1016/j.econmod.2009.10.003Search in Google Scholar PubMed PubMed Central
15. Humphreys BR, Ruseski JE. An economic analysis of participation and time spent in physical activity. BE J Econ Anal Policy 2011;11:1–38.10.2202/1935-1682.2522Search in Google Scholar
16. Cheah YK, Tan AK. Determinants of leisure-time physical activity: evidence from Malaysia. Sing Econ Rev 2014;59:1450017.10.1142/S0217590814500179Search in Google Scholar
17. Law LS, Taib MN, Saad HA. Factors associated with physical activity level among adolescents in Sarawak, Malaysia. J Phys Activ Sport Exercise 2014;2:7–14.Search in Google Scholar
18. Sreeramareddy CT, Kutty NA, Jabbar MA, Boo NY. Physical activity and associated factors among young adults in Malaysia: an online exploratory survey. Biosci Trend 2012;6:103–9.10.5582/bst.2012.v6.3.103Search in Google Scholar PubMed
19. Zimmermann-Sloutskis D, Wanner M, Zimmermann E, Martin BW. Physical activity levels and determinants of change in young adults: a longitudinal panel study. Int J Behav Nutr Phys Activ 2010;7:2.10.1186/1479-5868-7-2Search in Google Scholar
20. Romaguera D, Tauler P, Bennasar M, Pericas J, Moreno C, et al. Determinants and patterns of physical activity practice among Spanish university students. J Sport Sci 2011;29:989–97.10.1080/02640414.2011.578149Search in Google Scholar
21. Sallis JF, Zakarian JM, Hovell MF, Hofstetter CR. Ethnic, socioeconomic, and sex differences in physical activity among adolescents. J Clin Epidemiol 1996;49:125–266.10.1016/0895-4356(95)00514-5Search in Google Scholar
22. Ornelas IJ, Perreira KM, Ayala GX. Parental influences on adolescent physical activity: a longitudinal study. Int J Behav Nutr Phys Activ 2007;4:3.10.1186/1479-5868-4-3Search in Google Scholar PubMed PubMed Central
23. Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int J Behav Nutr Phys Activ 2011;8:140.10.1186/1479-5868-8-140Search in Google Scholar PubMed PubMed Central
24. Micklesfield LK, Pedro TM, Kahn K, Kinsman J, Pettifor JM, et al. Physical activity and sedentary behaviour among adolescents in rural South Africa: levels, patterns and correlates. BMC Public Health 2014;14:40.10.1186/1471-2458-14-40Search in Google Scholar PubMed PubMed Central
25. Institute for Public Health. The national health and morbidity survey: Malaysia global school-based student health survey 2012. Kuala Lumpur: Ministry of Health Malaysia, 2012.Search in Google Scholar
26. Centers for Disease Control and Prevention. Global school-based student health survey (GSHS). Atlanta: centers for disease control and prevention, 2008.Search in Google Scholar
27. Eaton DK, Kann L, Kinchen S, Shanklin S, Ross J, et al. Youth risk behavior surveillance – United States, 2009. Morbidity and Mortality Weekly Report. Surveillance Summaries, 2010.Search in Google Scholar
28. Stupnisky RH, Perry RP, Renaud RD, Hladkyj S. Looking beyond grades: comparing self-esteem and perceived academic control as predictors of first-year college students’ well-being. Learn Individ Differ 2013;23:151–7.10.1016/j.lindif.2012.07.008Search in Google Scholar
29. Maddala GS. Limited-dependent and qualitative variables in econometrics. New York: Cambridge University Press, 1983.10.1017/CBO9780511810176Search in Google Scholar
30. Greene WH. Econometric analysis, 6th ed. New York: Prentice Hall, 2007.Search in Google Scholar
31. Tobin J. Estimation of relationships for limited dependent variables. Econometrica 1958;26:24–36.10.2307/1907382Search in Google Scholar
32. Downward P, Riordan J. Social interactions and the demand for sport: an economic analysis. Contemp Econ Policy 2007;25:518–37.10.4135/9781446249413.n24Search in Google Scholar
33. Whitehead S, Biddle S. Adolescent girls’ perception of physical activity: a focus group study. Eur Phys Educ Rev 2008;14:243–62.10.1177/1356336X08090708Search in Google Scholar
34. Cheah YK. Influence of socio-demographic factors on physical activity participation in a sample of adults in Penang, Malaysia. Mal J Nutr 2011;17:385–91.Search in Google Scholar
35. van Dinther M, Dochy F, Segers M. Factors affecting students’ self-efficacy in higher education. Educ Res Rev 2011;6:95–108.10.1016/j.edurev.2010.10.003Search in Google Scholar
36. Fleury J, Lee SM. The social ecological model and physical activity in African American women. Am J Commun Psychol 2006;37:129–40.10.1007/s10464-005-9002-7Search in Google Scholar PubMed
37. Wicker P, Breuer C, Pawlowski T. Promoting sport for all to age-specific target groups: the impact of sport infrastructure. Eur Sport Manage Quart 2009;9:103–18.10.1080/16184740802571377Search in Google Scholar
38. Kenkel DS. Prevention. In: Culyer AJ, Newhouse JP, editors. Handbook of health economics. New York: Elsevier, 2000; Vol. 1B.Search in Google Scholar
39. Wee EH. Contemporary issues in the teaching of PE in Malaysia. J Phys Activ Sport Exercise 2013;1:17–20.Search in Google Scholar
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