Journal of Preventive Medicine and Public Health

The Korean Society for Preventive Medicine (대한예방의학회)
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Association between the Physical Activity of Korean Adolescents and Socioeconomic Status

우리나라 청소년의 신체활동과 사회경제적 변수와의 관련성

  • Oh, In-Hwan (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Lee, Go-Eun (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Oh, Chang-Mo (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Choi, Kyung-Sik (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Choe, Bong-Keun (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Choi, Joong-Myung (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Yoon, Tai-Young (Department of Preventive Medicine, Kyung Hee University School of Medicine)
  • 오인환 (경희대학교 의학전문대학원 예방의학교실) ;
  • 이고은 (경희대학교 의학전문대학원 예방의학교실) ;
  • 오창모 (경희대학교 의학전문대학원 예방의학교실) ;
  • 최경식 (경희대학교 의학전문대학원 예방의학교실) ;
  • 최봉근 (경희대학교 의학전문대학원 예방의학교실) ;
  • 최중명 (경희대학교 의학전문대학원 예방의학교실) ;
  • 윤태영 (경희대학교 의학전문대학원 예방의학교실)
  • Published : 2009.09.30
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Abstract

Objectives : The physical activity of Korean adolescents and its distribution based on social characteristics have not yet been fully assessed. This study intends to reveal the distribution of physical activity by its subgroups and offer possible explanatory variables. Methods : The 3rd Korea Youth Risk Behavior Web-based Survey was analyzed for this study. The appropriateness of physical activity was defined by Korea s Health Plan 2010 and physical inactivity was assessed independently. Family affluence scale, parents education levels, subjective economic status, grade, and school location were considered explanatory variables. All statistical analysis was conducted using SAS ver. 9.1. Results : The proportion of participants engaging in vigorous physical activity was high in males (41.6%), at a low grade (38.5%), within the high family affluence scale group (35.5%). The distribution of participants engaging in moderate physical activity showed similar patterns, but the overall proportion was lower (9.8%). Low family affluence and students with lower subjective economic status reported a higher prevalence of physical inactivity. In multiple logistic regression analysis for physical activity, significant factors included family affluence scale (p<0.05). For physical inactivity, family affluence scale, parents education levels, and subjective economic status were included as significant factors (p<0.05). Conclusions : The results suggest that the physical activity and inactivity of adolescents may be affected by socioeconomic variables, such as family affluence scale. This implies the need to take proper measures to address these socio-economic inequalities.

Keywords

References

  1. The Korean Society for Equity in Health. Methods in Health Inequalities Measurement. Paju: Hanul Publishing Company; 2008. p. 103-105. (Korean)
  2. Khang YH, Cho SY, Yang SM, Lee MS. Socioeconomic differentials in health and health related behaviors: Findings from the Korea youth panel survey. J Prev Med Public Health 2005; 38(4): 391-400. (Korean)
  3. West P. Health inequalities in the early years: Is there equalisation in youth? Soc Sci Med 1997; 44(6): 833-858 https://doi.org/10.1016/S0277-9536(96)00188-8
  4. Starfield B, Riley AW, Witt WP, Robertson J. Social class gradients in health during adolescence. J Epidemiol Community Health 2002; 56(5): 354-361 https://doi.org/10.1136/jech.56.5.354
  5. Currie C, Elton RA, Todd JM, Platt, S, Indicators of Socioeconomic Status for adolescents: The WHO Health Behaviour in School-aged Children Survey. Oxford: Oxford Univ Press.; 1997, p. 385-397
  6. Lien N, Friestad C, Klepp KI. Adolescents proxy reports of parents socioeconomic status: How valid are they? J Epidemiol Community Health 2001; 55(10): 731-737 https://doi.org/10.1136/jech.55.10.731
  7. West P, Sweeting H. Evidence on equalisation in health in youth from the west of Scotland. Soc Sci Med 2004; 59(1): 13-27 https://doi.org/10.1016/j.socscimed.2003.12.004
  8. Piko BF, Fitzpatrick KM. Socioeconomic status, psychosocial health and health behaviours among Hungarian adolescents. Eur J Publ health 2007; 17(4): 353-360 https://doi.org/10.1093/eurpub/ckl257
  9. Goodman E, Adler NE, Kawachi I, Frazier AL, Huang B, Colditz GA. Adolescents perceptions of social status: Development and evaluation of a new indicator. Pediatrics 2001; 108(2): E31 https://doi.org/10.1542/peds.108.2.e31
  10. Currie C, Gabhainn SN, Godeau E, Roberts C, Smith R, Currie D, et al. Inequalities in Young People's Health: HBSC International Report from the 2005/2006 Survey. Copenhagen: WHO Regional Office for Europe; 2008, p. 105-112
  11. US Department of Health and Human Services. 2008 Physical Activity Guidelines for Americans. Washington, DC: US Department of Health and Human Services; [cited 2009 Feb 18]. Available from: URL: http://www.health.gov/PAGuidelines.
  12. Yang YJ, Yoon YS, Oh SW, Lee ES. The amount of physical activity of Korean adults measured from the 2001 Korean national health and nutrition survey. J Korean Acad Fam Med 2005; 26(1): 22-30. (Korean)
  13. Ministry for Health, Welfare and Family Affairs. Establish of New Health Plan 2010. Seoul: Ministry for Health, Welfare and Family Affairs; 2006, p. 162-180. (Korean)
  14. Hallal PC, Victora CG, Azevedo MR, Wells JC. Adolescent physical activity and health: A systematic review. Sports Med 2006; 36(12): 1019-1030 https://doi.org/10.2165/00007256-200636120-00003
  15. US Department of Health and Human Services. Healthy people 2010. Washington, DC: US Department of Health and Human Services; [cited 2009 Feb 17]. Available from: URL:http://www.healthypeople.gov/Document/HTML
  16. Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: A longitudinal birth cohort study. Lancet 2004; 364(9430): 257-262 https://doi.org/10.1016/S0140-6736(04)16675-0
  17. Robinson TN. Reducing children s television viewing to prevent obesity a randomized controlled trial. JAMA 1999; 282(16): 1561-1567 https://doi.org/10.1001/jama.282.16.1561
  18. Gidlow C, Johnston LH, Crone D, Ellis N, James D. A systematic review of the relationship between socio-economic position and physical activity. Health Educ J 2006; 65(4): 338-367 https://doi.org/10.1177/0017896906069378
  19. Inchley JC, Currie DB, Todd JM, Akhtar PC, Currie CE, Persistent socio-demographic differences in physical activity among Scottish schoolchildren 1990-2002. Eur J Public Health 2005; 15(4): 386-388 https://doi.org/10.1093/eurpub/cki084
  20. Torgen M, Punnett L, Alfredsson L, Kilbom A. Physical capacity in relation to present and past physical load at work: A study of 484 men and women aged 41 to 58 years. Am J Ind Med 1999; 36(3): 388-400 https://doi.org/10.1002/(SICI)1097-0274(199909)36:3<388::AID-AJIM6>3.0.CO;2-3
  21. Coggins A, Swanston D, Crombie H. Physical Activity and Inequalities: A Briefing Paper. London: Health Education Authority; 1999, p.1-13
  22. Mo F, Turner M, Krewski D, Mo FD. Physical inactivity and socioeconomic status in Canadian adolescents. Int J Adolesc Med Health 2005; 17(1): 49-56
  23. Kantomaa MT, Tammelin TH, Nayha S, Taanila AM, Adolescents physical activity in relation to family income and parents education. Prev Med 2007; 44(5): 410-415 https://doi.org/10.1016/j.ypmed.2007.01.008
  24. Korea Centers for Disease Control and Prevention. Korea Youth Risk Behavior Web-Based Survey (raw data) and User Manual. Seoul: Korea Centers for Disease Control and Prevention; 2009. (Korean)
  25. Epstein LH, Roemmich JN, Paluch RA, Raynor HA. Physical activity as a substitute for sedentary behavior in youth. Ann Behav Med 2005; 29(3): 200-209 https://doi.org/10.1207/s15324796abm2903_6
  26. Eaton DK, Kann L, Kinchen S, Shanklin S, Ross J, Hawkins J, et al. Youth risk behavior surveillance-united states, 2007. MMWR Surveill Summ 2008; 57(4): 1-131
  27. Inje University Ilsan Paik Hospital Department of Family Medicine, Korea Centers for Disease Control and Prevention. Physical activity among Korean adolescents: The results of Korea youth risk behavior web-based survey 2005-2007. Public Health Wkly Rep 2009; 2(8): 777-780
  28. Lee M, Larson R. The Korean examination hell : Long hours of studying, distress, and depression. J Youth Adolesc 2000; 29(2): 249-271 https://doi.org/10.1023/A:1005160717081
  29. Van Mechelen W, Twisk JW, Post GB, Snel J, Kemper HC. Physical activity of young people: The Amsterdam longitudinal growth and health study. Med Sci Sports Exerc 2000; 32(9): 1610-1616
  30. Wardle J, Robb K, Johnson F. Assessing socioeconomic status in adolescents: The validity of a home affluence scale. J Epidemiol Community Health 2002; 56(8): 595-599 https://doi.org/10.1136/jech.56.8.595
  31. Boyce W, Torsheim T, Currie C, Zambon A. The family affluence scale as a measure of national wealth: Validation of an adolescent self-report measure. Soc Indicators Res 2006; 78(3): 473-487 https://doi.org/10.1007/s11205-005-1607-6
  32. Organisation for Economic Co-operation and Development. OECD factbook. Paris: Organisation for Economic Co-operation and Development; [cited 2009 May 11]. Available from: URL:http://www.sourceoecd.org/factbook
  33. von Rueden U, Gosch A, Rajmil L, Bisegger C, Ravens-Sieberer U. Socioeconomic determinants of health related quality of life in childhood and adolescence: Results from a European study. J Epidemiol Community Health 2006; 60(2): 130-135 https://doi.org/10.1136/jech.2005.039792
  34. Singh-Manoux A, Adler NE, Marmot MG. Subjective social status: Its determinants and its association with measures of ill-health in the Whitehall II study. Soc Sci Med 2003; 56(6): 1321-1333 https://doi.org/10.1016/S0277-9536(02)00131-4
  35. Macleod J, Davey Smith G, Metcalfe C, Hart C. Is subjective social status a more important determinant of health than objective social status? Evidence from a prospective observational study of scottish men. Soc Sci Med 2005; 61(9): 1916-1929 https://doi.org/10.1016/j.socscimed.2005.04.009
  36. Demakakos P, Nazroo J, Breeze E, Marmot M. Socioeconomic status and health: The role of subjective social status. Soc Sci Med 2008; 67(2): 330-340 https://doi.org/10.1016/j.socscimed.2008.03.038
  37. Hanson MD, Chen E. Socioeconomic status and health behaviors in adolescence: A review of the literature. J Behav Med 2007; 30(3): 263-285 https://doi.org/10.1007/s10865-007-9098-3
  38. Korea Centers for Disease Control and Prevention. Korean National Health and Nutrition Examination Surveys 2005. Seoul: Korea Centers for Disease Control and Prevention; [cited 2009 May 11]. Available from: URL:http://knhanes.cdc.go.kr. (Korean)
  39. Singh GK, Kogan MD, Siahpush M, van Dyck PC. Independent and joint effects of socioeconomic, behavioral, and neighborhood characteristics on physical inactivity and activity levels among US children and adolescents. J Community Health 2008; 33(4): 206-216 https://doi.org/10.1007/s10900-008-9094-8
  40. Korea National Statistical Office. Report on the Social Statistics Survey. Daejeon: Korea National Statistical Office; [cited 2009 Feb 17]. Available from: URL:http://www.kosis.kr. (Korean)

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