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The association of Sasang constitutional types with metabolic syndrome: A pooled analysis of data from three cohorts

Authors
Lee, Seung KuYoon, Dae WuiChoi, Kyung-MeeLee, Si WooKim, Jong YeolKim, Jin KwanHong, Jeong HwaCho, Nam HanShin, Chol
Issue Date
6월-2016
Publisher
ELSEVIER SCIENCE INC
Keywords
Metabolic syndrome; Sasang constitutional types; Cohort analysis; Tae-eum; So-eum; So-yang
Citation
EUROPEAN JOURNAL OF INTEGRATIVE MEDICINE, v.8, no.3, pp.227 - 234
Indexed
SCIE
SCOPUS
Journal Title
EUROPEAN JOURNAL OF INTEGRATIVE MEDICINE
Volume
8
Number
3
Start Page
227
End Page
234
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/88451
DOI
10.1016/j.eujim.2015.11.017
ISSN
1876-3820
Abstract
Introduction: Metabolic syndrome (MetS) is a highly prevalent condition, which is considered to be a major risk factor for cardiovascular diseases. Sasang constitutional types (SCTs) are divided into four distinct types which are classified by specific physical, physiological, pharmacological, and psychological characteristics. Methods: In this study, we performed a pooled analysis to assess the relationship between MetS and SCTs using data from two community-based cohorts and one clinical database of Sasang constitution. The 1421, 1547, and 2279 individuals who participated in the Ansung cohort, Ansan cohort, and Korean Constitutional Multicenter Bank, respectively, were analyzed. The participants were classified into SCTs using the integrated diagnostic model. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III. Results: The prevalence of MetS according to the SCTs in the combined data was 14.1% for the So-eum (SE)-type, 26.7% for the So-yang (SY)-type, and 50.8% for the Tae-eum (TE)-type. In the combined data set, the odds ratios of having MetS was 2.05-fold greater (95% confidence interval [CI], 1.62-2.60; P < 0.0001) for the TE-type, and 1.41-fold greater (95% CI, 1.13-1.76; P = 0.0026) for the SY-type than the SE-type. Conclusion: This study found that TE- and SY-types were significantly associated with a risk of MetS. (C) 2016 Published by Elsevier GmbH.
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