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

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 Hyperten...

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Main Authors: Hosik Min, JongWha Chang, Rajesh Balkrishnan
Format: Article
Language:English
Published: Hindawi Limited 2010-01-01
Series:International Journal of Hypertension
Online Access:http://dx.doi.org/10.4061/2010/410794
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spelling doaj-7640046ce3a7483abf665574158b8ae62020-11-24T22:57:05ZengHindawi LimitedInternational Journal of Hypertension2090-03922010-01-01201010.4061/2010/410794410794Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of KoreaHosik Min0JongWha Chang1Rajesh Balkrishnan2Center on the Family, University of Hawaii at Mānoa, Honolulu, HI 96822, USADepartment of Social and Administrative Science, College of Pharmacy, University of Michigan, Ann Arbor, MI 48104, USACenter for Medication Use, Policy and Economics, University of Michigan, Ann Arbor, MI 48104, USAThis 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.http://dx.doi.org/10.4061/2010/410794
collection DOAJ
language English
format Article
sources DOAJ
author Hosik Min
JongWha Chang
Rajesh Balkrishnan
spellingShingle Hosik Min
JongWha Chang
Rajesh Balkrishnan
Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea
International Journal of Hypertension
author_facet Hosik Min
JongWha Chang
Rajesh Balkrishnan
author_sort Hosik Min
title Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea
title_short Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea
title_full Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea
title_fullStr Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea
title_full_unstemmed Sociodemographic Risk Factors of Diabetes and Hypertension Prevalence in Republic of Korea
title_sort sociodemographic risk factors of diabetes and hypertension prevalence in republic of korea
publisher Hindawi Limited
series International Journal of Hypertension
issn 2090-0392
publishDate 2010-01-01
description 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.
url http://dx.doi.org/10.4061/2010/410794
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