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KMID : 0387320230330020118
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Korean Journal of Health Policy and Administration
2023 Volume.33 No. 2 p.118 ~ p.128
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Regional Health Disparities of Self-Rated Health Using Cluster Analysis in South Korea
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Heo Min-Hee
Baek Sei-Jong
Kim Young-Jin
Noh Jin-Won
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Abstract
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Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities acrossthe regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regionalhealth disparities of self-rated health, using nationally representative cross-sectional data.
Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means clusteranalysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physicalenvironment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual frameworkfor action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differencesin self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organizationfactors.
Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group wasgroup 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR],1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001).
However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2:OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001).
Conclusion: These results demonstrate that community members’ health status is influenced by regional determinants of health andindividual levels. And these contribute to understanding the importance of specific and differentiated interventions like locallytailored support programs considering both individual and regional health determinants.
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KEYWORD
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Health inequalities, Cluster analysis, Individual factor, Regional factor, Self-rated health
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