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International Journal of Hypertension
Volume 2010 (2010), Article ID 410794, 6 pages
Research Article

Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea

1Center on the Family, University of Hawaii at Mānoa, Honolulu, HI 96822, USA
2Department of Social and Administrative Science, College of Pharmacy, University of Michigan, Ann Arbor, MI 48104, USA
3Center for Medication Use, Policy and Economics, University of Michigan, Ann Arbor, MI 48104, USA

Received 22 January 2010; Revised 12 April 2010; Accepted 12 April 2010

Academic Editor: James Sowers

Copyright © 2010 Hosik Min et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study examined the relationships between SES and diabetes and hypertension for Korean adults using the Korean National Health and Nutritional Examination Survey. To handle the four dummy dependent variables: Diabetes and Hypertension, Diabetes alone, Hypertension alone, and Diabetes or Hypertension, four different logistic models were conducted. The descriptive statistics showed a considerable amount of comorbidity between the combined dependent variable of diabetes and hypertension. To gauge more realistic measures of SES, education and income were combined together as four dummy categories. The SES factor indeed had significant impacts on diabetes and hypertension. Socioeconomically disadvantaged groups demonstrated to have increased likelihood of having these diseases. However, we could not find the strong compensating effect between education and income; the higher level of education but lower income variable was only significant in having both diseases, and the higher income but lower level of education variable was only significant in having hypertension alone and either one of the diseases. Only the highest SES one, the one with a higher level of education and a higher income, was significantly lowering the likelihood of having these diseases in all models. Therefore, public policy and intervention programs should focus on individuals matching these socioeconomic characteristics.