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Health related behavior patterns and associated factors among marriage immigrant women using latent class analysis

잠재계층분석을 활용한 결혼이주여성의 건강관련행동 군집유형과 영향요인

  • Cho, Wonsup (Graduate School of Public Health, Seoul National University) ;
  • Yoo, Seunghyun (Graduate School of Public Health, Seoul National University) ;
  • Kim, Hyekyeong (Department of Health Education and Management, Ewha Womans University)
  • 조원섭 (서울대학교 보건대학원) ;
  • 유승현 (서울대학교 보건대학원) ;
  • 김혜경 (이화여자대학교 보건관리학과)
  • Received : 2015.10.31
  • Accepted : 2015.12.22
  • Published : 2015.12.31

Abstract

Objectives: This paper aims to identify the health related behaviors patterns and its associated factors among marriage immigrant women in Korea, and discusses their application to health promotion strategies. Methods: The study participants were 7,591 immigrant wives in Gyeonggi province who participated in health examinations conducted by the Korea Association of Health Promotion in 2011-2013. The participants completed self-administered questionnaires on sociodemographics, psychological characteristics, health status and health care factors, and health related behaviors. Results: A 3-latent-class model of health behaviors was identified related to 'lack of physical activity', 'abnormal diet', and 'not experienced medical check-up': 'high risk class', 'middle risk class', and 'low risk class'. Most of the participants belong to 'middle risk class'. Country of origin, age, length of stay, number of children, work status, health insurance status, and unmet health care needs were associated with problematic health behaviors in middle risk health behavior class. Conclusions: Health promotion and intervention programs for marriage immigrant women and their family members need to consider the health behavior patterns of physical inactivity, abnormal diet and no medical check-up and develop multiple behavior intervention with pre-existing program modification.

Keywords

References

  1. Access Alliance. (2014). Community Programs. Retrieved from http://accessalliance.ca/programs-services/community-programs/
  2. Ahn, Y. (2008). Health status and health behavior of immigrant women married to Koreans. Journal of Korean Academy of Public Health Nursing, 22(1), 18-26.
  3. Chou, K. L. (2008). The prevalence and clustering of four major lifestyle risk factors in Hong Kong Chinese older adults. Journal of aging and health, 20(7), 788-803. https://doi.org/10.1177/0898264308321082
  4. Chung, K. S. & Han, J. E. (2009). International Marriage Migrants' Adjustment and Mental Health. Korea Journal of Population Studies, 32(2), 87-114.
  5. Huh, J., Riggs, N. R., Spruijt-Metz, D., Chou, C. P., Huang, Z., & Pentz, M. (2011). Identifying patterns of eating and physical activity in children: A latent class analysis of obesity risk. Obesity, 19(3), 652-658. https://doi.org/10.1038/oby.2010.228
  6. Huh, S. I., & Kim, S. J. (2007). Unmet needs for health care among Korean adults: differences across age groups. The Korean Journal of Health Economics and Policy, 13(2), 1-16.
  7. Jeon, J. Y., Yoo, S., & Kim, H. (2012). Clustering Patterns and Correlates of Multiple Health Behaviors in Middle-aged Koreans with Metabolic Syndrome. Korean Journal of Health Education and Promotion, 29(2), 93-105.
  8. Kang, E. J. (2007). Clustering of lifestyle behaviors of Korean adults using smoking, drinking, and physical activity. Health and Social Welfare Review, 27(2), 44-66. https://doi.org/10.15709/hswr.2007.27.2.44
  9. Kang, K. W., Sung, J. H., & Kim, C. Y. (2010). High Risk Groups in Health Behavior Defined by Clustering of Smoking, Alcohol, and Exercise Habits: National Health and Nutrition Examination Survey. Journal of Preventive Medicine and Public Health, 43(1), 73-83. https://doi.org/10.3961/jpmph.2010.43.1.73
  10. Kang, M. Y. & Jang, I. J. (2009). Mothering Experiences of Filipino Immigration Women in Korea: Through the Cultural Politics of Identity. Journal of Contemporary Society and Culture, 28, 73-103.
  11. Keller, S., Maddock, J. E., Hannover, W., Thyrian, J. R., & Basler, H. D. (2008). Multiple health risk behaviors in German first year university students. Preventive Medicine, 46(3), 189-195. https://doi.org/10.1016/j.ypmed.2007.09.008
  12. Kim, B. & Cho, A. (2013). The types and characteristics of school dropouts: A latent class analysis approach. Studies on Korean Youth, 24(3), 5-31.
  13. Kim, H. (2008). International Marriage Migrant Women in Korea. Korean Journal of Women Health Nursing, 14(4), 248-256. https://doi.org/10.4069/kjwhn.2008.14.4.248
  14. Kim, H. J. (2008). A study of spousal support, the demand for health education, and quality of life for married female immigrants. Korean Journal of Women Health Nursing, 14(1), 5-11.
  15. Kim, H. R., Hwang, N. M., Jang, I. S., Yoon, K. J., & Kang, B. J. (2008). Status and policy of reproductive health of marital immigrant women in Korea. Seoul: Korea Institute for Health and Social Affairs.
  16. Kim, H. R., Yeo, J. Y., Jung, J. J., & Baek, S. H. (2012). Health statusof marriage immigrant women and children from multicultural families and health policy recommendations(No. 2012-10). Seoul, Korea Institute for Health and Social Affairs; Author. Retrieved fromhttps://www.kihasa.re.kr/html/jsp/publication/research/view.jsp?bid=12&ano=1413
  17. Kim, H., Yoo, S., Cho, S., Kwon, E., Kim, S., & Park, J. (2010). Health Status and Associated Health Risks among Female Marriage Immigrants in Korea. Korean Journal of Health Education and Promotion, 27(5), 79-89.
  18. Kim, M. J., Kim, T. I., & Kwon, Y. J. (2008). A study on health promotion behavior and contraception in married immigrant women. Korean Journal of Women Health Nursing, 14(4), 323-332. https://doi.org/10.4069/kjwhn.2008.14.4.323
  19. Korea Centers for Disease Control & Prevention. (2014). 2013 Health Behavior and Chronic Disease Statistics. Cheongju, Korea: Author.
  20. Korean Statistical Information Service. (2013). Retrieved from http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parentId=A#SubCont
  21. Korean Statistical Information Service. (2014). Retrieved from http://kosis.kr/statisticsList/statisticsList_01List.jsp?vwcd=MT_ZTITLE&parentId=A#SubCont
  22. Lanza, S. T., Rhoades, B. L., Nix, R. L., Greenberg, M. T., & The Conduct Problems Prevention Research Group. (2010). Modeling the interplay of multilevel risk factors for future academic and behavior problems: A person-centered approach. Development and Psychopathology, 22(2), 313-335. https://doi.org/10.1017/S0954579410000088
  23. Lee S. (2015). Identifying and Predicting Patterns of Healthy Behaviors Among Elementary School Children. Journal of Institute for Social Sciences, 26(2), 251-271.
  24. Ministry of Gender Equality & Family. (2011). Retrieved from http://www.liveinkorea.kr/homepage/kr/multidata/dataView.asp?mc=M0030&id=1649&num=2041322&pg=14
  25. Ministry of Gender Equality & Family. (2012). Retrieved from http://www.liveinkorea.kr/homepage/en/multicenter/program.asp?mc=M0028&id=5
  26. Mistry, R., McCarthy, W. J., Yancey, A. K., Lu, Y., & Patel, M. (2009). Resilience and patterns of health risk behaviors in California adolescents. Preventive Medicine, 48(3), 291-297. https://doi.org/10.1016/j.ypmed.2008.12.013
  27. Moon, S. (2014). Types of Health Behavior Clusters and Related Factors among Korean Adults. Journal of Digital Convergence, 12(8), 397-410. https://doi.org/10.14400/JDC.2014.12.8.397
  28. Nagin, D. S. (2005). Group-Based Modeling of Development. London: Harvard University Press.
  29. Nylund, K. L. (2007). Latent transition analysis: Modeling extensions and an application to peer victimization (Doctoral dissertation). University of California, Los Angeles.
  30. Poortinga, W. (2007). The prevalence and clustering of four major lifestyle risk factors in an English adult population. Preventive Medicine, 44(2), 124-128. https://doi.org/10.1016/j.ypmed.2006.10.006
  31. Raitakari, O. T., Leino, M., Raikkonen, K., Porkka, K. V. K., Taimela, S., Rasanen, L., & Viikari, J. S. A. (1995). Clustering of Risk Habits in Young Adults: The Cardiovascular Risk in Young Finns Study. American Journal of Epidemiology, 142(1), 36-43. https://doi.org/10.1093/oxfordjournals.aje.a117543
  32. Schuit, A. J., van Loon, A. J. M., Tijhuis, M., & Ocke, M. C. (2002). Clustering of lifestyle risk factors in a general adult population. Preventive Medicine, 35(3), 219-224. https://doi.org/10.1006/pmed.2002.1064
  33. Wang, J. & Wang, X. (2012). Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics) (1st ed.). Hoboken, NJ: John Wiley & Sons.
  34. World Bank. (2013). World development indicators. Retrieved from http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators&Type=table
  35. World Health Organization. (2002). The world health report 2002-reducing risks. promoting healthy life. Geneva: WHO.
  36. Yang, S. J. (2010). Health status, health care utilization and related factors among asian immigrant women in Korea. Journal of Korean Academy of Public Health Nursing, 24(2), 323-335.
  37. Yoon, J. & Yoo, H. (2011). A study of Married International Mothers' Doing Mothers. Journal of Multi-Cultural Contents Studies, 11, 41-80.
  38. Yoon, N., Yoo, S., & Kim, H. (2014). Composition of Metabolic Syndrome Among Korean Adults in a Lifestyle Modification Intervention. Osong Public Health and Research Perspectives, 5(6), 370-377. https://doi.org/10.1016/j.phrp.2014.10.005