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Typology of Community Health Vulnerabilities and Their Effects on Health Status by Type-Using Community Health Survey

지역의 건강결정요인 취약성 유형화 및 유형별 건강수준의 차이

  • Received : 2021.03.16
  • Accepted : 2021.06.28
  • Published : 2021.09.30

Abstract

Purpose: This study examined health determinants at a community level and put forward to a typology of five different forms of community health vulnerabilities. We also investigated the differences in the prevalence of chronic diseases, self-rated health, and quality of life (EQ-5D) among the five types. Methods: Latent class analysis was applied to material, social capital, and health behavior vulnerability variables across 255 regions of South Korea. The data came from 2017 & 2019 Community Health Survey. Results: We found five types of community health vulnerabilities: Type 1 group had the highest material vulnerabilities compared to Type 5. The typology was found to be significant in all the regression analysis on the prevalence of chronic diseases (hypertension and diabetes), self-rated health status, and quality of life. In the regions with high material vulnerabilities, the material vulnerability appeared the most effective to the health status of individual's. In the other regions with less material vulnerabilities, the social capital and health behavior resources were found to be effective. Conclusion: A comprehensive measure of vulnerability can be helpful to understand community health. Policy makers need to consider the level of material vulnerability when planning for a health promotion project.

Keywords

Acknowledgement

본 연구는 국민건강증진기금의 재원으로 질병관리청 만성질환관리과의 지원을 받아 수행된 연구임(ISSN 2733-5488).

References

  1. Kim DJ. Socioeconomic status, area deprivation and health behavior gaps. Health and Welfare Policy Forum. 2018;260:20-38.
  2. Curtis S. Health and Inequality: Geographical Perspectives. 1st ed. London: Sage Publications; 2004. 344 p.
  3. World Health Organization. A conceptual framework for action on the social determinants of health. 1st ed. Geneva: World Health Organization; 2010. 76 p.
  4. Jeong BG. Policy and regional health planning for reducing regional health inequalities. Health and Welfare Policy Forum. 2018;260:50-61.
  5. Yoon TH, Kim SY, Yun MS, Moon KJ. Relationship between local authority deprivation and activity limitation in adults aged 50 or over. Korean Journal of Health Education and Promotion. 2015;32(2):27-37 https://doi.org/10.14367/kjhep.2015.32.2.27
  6. Kim DJ, Lee SY, Ki M, Kim MH, Kim SS, Kim YM, et al. Developing Health Inequalities Indicators and Monitoring the Status of Health Inequalities in Korea. Research Report. Seoul: Korea Iinstitute for Health and Social Affairs, KIHASA; 2013. Report N.: 2013-10.
  7. Choi MH, Cheong KS, Cho BM, Hwang IK, Kim CH, Kim MH, et al. Deprivation and mortality at the town level in Busan, Korea: An ecological study. Journal of Preventive Medicine and Public Health. 2011;44(6):242-248. https://doi.org/10.3961/jpmph.2011.44.6.242
  8. Shin YJ, Yoon TH, Kim MH, Jeong BG, Seo JH. Health equity policy and practice: Strategic approach for alleviation of health inequality. Korea Social Policy Review. 2011;18(4):41-77. https://doi.org/10.17000/kspr.18.4.201112.41
  9. Jeong BG, Jung KY, Kim JY, Moon OR, Lee YH, Hong YS, et al. The relationship between regional material deprivation and the standardized mortality ratio of the community residents aged 15-64 in Korea. Journal of Preventive Medicine and Public Health. 2006;39(1):46-52.
  10. Kim DJ. English Indices of Multiple Deprivation: Review and Implications. Global Social Security Review. 2018;5:108-119.
  11. Korea Health Promotion Institute. Report on local health vulnerable area in 2016. Research Report. Seoul: Korea Health Promotion Institute (KHPI); 2016.
  12. Jang YM, Yeum DM. Relationship between mental health and social capital of local residents: Focusing on Gyungsangnam-Do. The Journal of the Korea Contents Association. 2014;14(12):764-774. https://doi.org/10.5392/JKCA.2014.14.12.764
  13. Kim JH. Social capital, physical activity, and self-reported health: A structural equation modeling and implications for evidence-based health policy. Health and Social Science. 2010;28:61-90.
  14. Park EJ, Yeon MY, Kim CW. Effect of area deprivation and social capital on self rated health among Koreans. Journal of the Korea Academia-Industrial cooperation Society. 2016;17(10):382-395. https://doi.org/10.5762/KAIS.2016.17.10.382
  15. Sim MY, Yeum DM, An SA, Jeong BG. A study on health inequality that low income groups in the health vulnerable regions have recognized. Journal of Critical Social Welfare. 2012;37:155-201.
  16. Jee YJ, Kim YJ. The difference of health behavior between screening and non screening group by health examinations services. Asia-pacific Journal of Multimedia Services Convertgent with Art, Humanities, and Sociology. 2017;7(6):503-510. https://doi.org/10.35873/ajmahs.2017.7.6.046
  17. Saint Onge JM, Krueger PM. Health lifestyle behaviors among U.S. adults. SSM - Population Health, 2017;3:89-98. https://doi.org/10.1016/j.ssmph.2016.12.009
  18. Hwang SG, Son JH, Chun YJ, Yang MJ. Through hierarchical analysis, derivation the type of youth into counseling needs -The target for the youth companion's client-. The Korea Journal of Youth Counseling. 2015;23(1):273-293. https://doi.org/10.35151/kyci.2015.23.1.013
  19. Kim YM, Kang SH. Changes and determinants affecting on geographic variations in health behavior, prevalence of hypertension and diabetes in Korean. Journal of Digital Convertgence. 2015;13(11):241-254. https://doi.org/10.14400/JDC.2015.13.11.241
  20. Van Aerden K, Gadeyne S, Vanroelen C. Is any job better than no job at all? Studying the relations between employment types, unemployment and subjective health in Belgium. Archives of Public Health. 2017;75(1):55. https://doi.org/10.1186/s13690-017-0225-5
  21. Bailis DS, Segall A, Chipperfield JG. Two views of self-rated general health status. Social Science & Medicine. 2003;56(2): 203-217. https://doi.org/10.1016/S0277-9536(02)00020-5
  22. Nam HS, Kim KY, Kwon IS, Koh KW. Poul Kind: EQ-5D Korean valuation study using time trade-off method [Internet]. Seoul: Korean Centers for Disease Control and Prevention. 2007 [cited 2021 Febrary 20]. Available from: https://knhanes.cdc.go.kr/knhanes/sub04/sub04_03.do?classType=7
  23. Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture. Biometrika. 2001;88(3):767-778. https://doi.org/10.1093/biomet/88.3.767