Korean Journal of Health Education and Promotion (보건교육건강증진학회지)

Korean Society for Health Education and Promotion (한국보건교육건강증진학회)
권호 표지

Trends in the Prevalence of Health Risk Behaviors among Korean Adolescents, 2005-2009: The Korea Youth Risk Behavior Web-based Survey

청소년건강행태온라인조사 자료를 활용한 국내 청소년 건강행태 동향 분석

  • Kim, Keon-Yeop (Department of Preventive Medicine, Kyungpook National University School of Medicine) ;
  • Park, Soon-Woo (Department of Preventive Medicine, Catholic University of Daegu School of Medicine) ;
  • Kim, Jong-Yeon (Department of Preventive Medicine, Catholic University of Daegu School of Medicine) ;
  • Bae, Ji-Suk (Department of Preventive Medicine, Catholic University of Daegu School of Medicine) ;
  • Lee, Won-Kee (Kyungpook National University School of Medicine) ;
  • Jeong, Seong-Hwa (Faculty of Health Science, Daegu Haany University) ;
  • Kim, Ki-Su (Department of Preventive Medicine, Kyungpook National University School of Medicine) ;
  • Kim, Yeon-Hee (Department of Preventive Medicine, Kyungpook National University School of Medicine) ;
  • Park, Sun-Min (Korea Centers for Disease Control and Prevention)
  • 김건엽 (경북대학교 의학전문대학원 예방의학교실) ;
  • 박순우 (대구가톨릭대학교 의과대학 예방의학교실) ;
  • 김종연 (대구가톨릭대학교 의과대학 예방의학교실) ;
  • 배지숙 (대구가톨릭대학교 의과대학 예방의학교실) ;
  • 이원기 (경북대학교 의학전문대학원) ;
  • 정성화 (대구한의대학교 보건학부) ;
  • 김기수 (경북대학교 의학전문대학원 예방의학교실) ;
  • 김연희 (경북대학교 의학전문대학원 예방의학교실) ;
  • 박선민 (질병관리본부)
  • Received : 2011.10.26
  • Accepted : 2012.03.03
  • Published : 2012.03.31
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Abstract

Objectives: The aim of this study was to measure secular trends in health risk behaviors among middle and high school students in Korea between 2005 and 2009 by using data from the Korea Youth Risk Behavior Web-based Survey(KYRBS). Methods: The analyses were performed using data from the 2005, 2006, 2007, 2008, and 2009 KYRBS, which included a nationally representative sample of middle and high school students. A total of 34 health behavior indices were used for the assessment of secular trends in health risk behaviors. Logistic regression models were used to identify statistically significant secular trends in health risk behaviors, after adjusting for gender and grade. Linear and higher-order time variables were simultaneously entered into the statistical models. Results: There was evidence of small, but statistically significant increasing or decreasing trends in certain health risk behaviors. Secular trends in health risk behaviors varied by gender. Conclusions: This study indicates that between 2005 and 2009, changes in health risk behaviors among Korean adolescents were generally small, but represented statistically significant increases or decreases. Further research should explore why certain health risk behaviors are increasing or decreasing and what types of interventions are most effective.

Keywords

References

  1. Adams, J. (2006). Trends in physical activity and inactivity amongst US 14-18 year olds by gender, school grade and race, 1993-2003: evidence from the youth risk behavior survey. BMC Public Health, 6, 57. https://doi.org/10.1186/1471-2458-6-57
  2. Brener, N. D., Simon, T. R., Krug, E. G., & Lowry, R. (1999). Recent trends in violence-related behaviors among high school students in the United States. JAMA: Journal of the American Medical Association, 282(5), 440-446. https://doi.org/10.1001/jama.282.5.440
  3. Camenga, D. R., Klein, J. D., & Roy, J. (2006). The changing risk profile of the American adolescent smoker: implications for prevention programs and tobacco interventions. Journal of Adolescent Health, 39(1), 120.e1-10. https://doi.org/10.1016/j.jadohealth.2005.10.014
  4. The European School Survey Project on Alcohol and Other Drugs. (2012). Retrieved from http://www.espad.org
  5. Grimshaw, J., Alderson, P., Bero, L., Grilli, R., Oxman, A., Zwarenstein, M.,... Cunningham, C. (2003). Study designs accepted for inclusion in EPOC reviews. EPOC Newsletter. Retrieved from http://epoc.cochrane.org/newsletters
  6. Health Behaviour in School-aged Children: a World Health Organization collaborative cross-national study. (2012). Retrieved from http://www.hbsc.org
  7. Khang, Y. H., & Park, M. J. (2011). Trends in obesity among Korean children using four different criteria. International Journal of Pediatric Obesity, 6(3-4), 206-214. https://doi.org/10.3109/17477166.2010.490270
  8. Kim, H. R. (2011). Future directions and strategies of the obesity prevention policies and programs. Health and Welfare Policy Forum, 173, 41-54.
  9. Kim, J., Chung, W., Lee, S., & Park, C. (2010). Estimating the socioeconomic costs of alcohol drinking among adolescents in Korea. Journal of Preventive Medicine and Public Health, 43(4), 341-351. https://doi.org/10.3961/jpmph.2010.43.4.341
  10. Korea Centers for Disease Control and Prevention. (2007). Reports on the Korea Youth Risk Behavior Web-based Survey, 2005. Seoul, Korea: Korea Centers for Disease Control and Prevention.
  11. Korea Centers for Disease Control and Prevention. (2007). Reports on the Korea Youth Risk Behavior Web-based Survey, 2006. Seoul, Korea: Korea Centers for Disease Control and Prevention.
  12. Korea Centers for Disease Control and Prevention. (2008). Reports on the Korea Youth Risk Behavior Web-based Survey, 2007. Seoul, Korea: Korea Centers for Disease Control and Prevention.
  13. Korea Centers for Disease Control and Prevention. (2009). Reports on the Korea Youth Risk Behavior Web-based Survey, 2008. Seoul, Korea: Korea Centers for Disease Control and Prevention.
  14. Korea Centers for Disease Control and Prevention. (2010). Reports on the Korea Youth Risk Behavior Web-based Survey, 2009. Seoul, Korea: Korea Centers for Disease Control and Prevention.
  15. Korea National Statistical Office. (2006). Annual report on the cause of death statistics, 2005. Daejeon, Korea: Korea National Statistical Office.
  16. Korea National Statistical Office. (2010). Annual report on the cause of death statistics, 2009. Daejeon, Korea: Korea National Statistical Office.
  17. Lee, S., Yun, J. E., Lee, J. K., Kim, I. S., & Jee, S. H. (2010). The Korean prediction model for adolescents' future smoking intentions. Journal of Preventive Medicine and Public Health, 43(3), 283-291. https://doi.org/10.3961/jpmph.2010.43.4.283
  18. Lowry, R., Wechsler, H., Kann, L., & Collins, J. L. (2001). Recent trends in participation in physical education among US high school students. Journal of School Health, 71(4): 145-152. https://doi.org/10.1111/j.1746-1561.2001.tb01312.x
  19. Ministry of Health and Welfare, & Korea Centers for Disease Control and Prevention. (2010). The fourth Korea National Health and Nutrition Examination Survey (KNHANES IV-3), 2009. Seoul, Korea: Ministry of Health and Welfare & Korea Centers for Disease Control and Prevention.
  20. Ministry of Health and Welfare. (2004). Korean National Oral Health Survey, 2003. Seoul, Korea: Ministry of Health and Welfare.
  21. Ministry of Health and Welfare. (2007). Korean National Oral Health Survey, 2006. Seoul, Korea: Ministry of Health and Welfare.
  22. Ministry of Health and Welfare. (2010). Korean National Oral Health Survey, 2009. Seoul, Korea: Ministry of Health and Welfare.
  23. McGue, M., Iacono, W. G., & Krueger, R. (2006). The association of early adolescent problem behavior and adult psychopathology: a multivariate behavioral genetic perspective. Behavior Genetics, 36(4), 591-602. https://doi.org/10.1007/s10519-006-9061-z
  24. Mokdad, A. H., Marks, J. S., Stroup, D. F., & Gerberding, J. L. (2004). Actual causes of death in the United States, 2000. JAMA: Journal of the American Medical Association, 290(10), 1238-1245.
  25. Parna, K., Usin, J., & Ringmets, I. (2008). Cigarette and waterpipe smoking among adolescents in Estonia: HBSC survey results, 1994-2006. BMC Public Health, 8, 392. https://doi.org/10.1186/1471-2458-8-392
  26. Park, E. J., Koh, H. K., Kwon, J.W., Suh, M.K., Kim, H., & Cho, S. I. (2009). Secular trends in adult male smoking from 1992 to 2006 in South Korea: age-specific changes with evolving tobacco-control policies. Public Health, 123(10), 657-664. https://doi.org/10.1016/j.puhe.2009.09.007
  27. Park, S. W. (2007). National policy for adolescent smoking prevention and cessation. Health and Welfare Policy Forum, 129, 22-34.
  28. Ranson, M. K., Sinha, T., Morris, S. S., & Mills, A. J. (2006). CRTs-cluster randomized trials or courting real troubles: challenges of running a CRT in rural Gujarat, India. Canadian Journal of Public Health, 97, 72-75.
  29. Santelli, J., Carter, M., Orr, M., & Dittus, P. (2009). Trends in sexual risk behaviors, by nonsexual risk behavior involvement, U.S. high school students, 1991-2007. Journal of Adolescent Health, 44(4), 372-379. https://doi.org/10.1016/j.jadohealth.2008.08.020
  30. Serdula, M. K., Gillespie, C., Kettel-Khan, L., Farris, R., Seymour, J., & Denny, C. (2004). Trends in fruit and vegetable consumption among adults in the United States: behavioral risk factor surveillance system, 1994-2000. American Journal of Public Health, 94(6), 1014-1018. https://doi.org/10.2105/AJPH.94.6.1014
  31. Simons-Morton, B. G., Farhat, T., ter Bogt, T. F., Hublet, A., Kuntsche, E., Nic Gabhainn, S., . . . HBSC Risk Behaviour Focus Group. (2009). Gender specific trends in alcohol use: cross-cultural comparisons from 1998 to 2006 in 24 countries and regions. International Journal of Public Health, 54(Suppl 2), 199-208. https://doi.org/10.1007/s00038-009-5411-y
  32. Song, Y., Park, M. J., Paik, H. Y., & Joung, H. (2010). Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. International Journal of Obesity, 34(1), 48-56. https://doi.org/10.1038/ijo.2009.203
  33. Twisk, W. R. (2003). Applied longitudinal data analysis for epidemiology: a practical guide. Cambridge, England: Cambridge University Press.
  34. Van Driel, M. L., Vander Stichele, R., Elseviers, M., De Sutter, A., De Maeseneer, J., & Christiaens, T. (2008). Effects of an evidence report and policies lifting reimbursement restrictions for acid suppressants: analysis of the Belgian national database. Pharmacoepidemiology and Drug Safety, 17, 1113-1122. https://doi.org/10.1002/pds.1664
  35. YRBSS: Youth Risk Behavior Surveillance System. (2012). Retrieved from http://www.cdc.gov/healthyyouth/yrbs/index.htm
  36. Zaborskis, A., Sumskas, L., Maser, M., & Pudule, I. (2006). Trends in drinking habits among adolescents in the Baltic countries over the period of transition: HBSC survey results, 1993-2002. BMC Public Health, 6, 67. https://doi.org/10.1186/1471-2458-6-67