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  • P-ISSN 1010-0695
  • E-ISSN 2288-3339

사상체질에 따른 허혈성 뇌졸중 환자-대조군 연구

The Case-control Study of Ischemic Stroke According to Sasang Constitution

대한한의학회지 / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2006, v.27 no.1, pp.118-129
황민우 (부산대학교)
이태규 (경희대학교)
이수경 (경희대학교)
송일병 (경희대학교)
최봉근 (경희대학교)
고병희 (경희대학교)
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Abstract

Objectives A human being is classified into 4 constitutions(Taeyangin, Soyangin, Taeumin, and Souemin) and each constitution has the different incidence, treatment and prevention of disease in Sasang Constutional Medicine[SCM]. The purpose of this study is to find relative risk(RR)s of each risk factors including Sasang Constitution[SC] for incidence of ischemic stroke. Methods In 344-case patients with ischemic stroke and 1446 healthy control subjects without ischemic stroke, we evaluated sex, age, height, weight, BMI, ECG abnormality, hypertension, diabetes mellitus, blood lipid level and SC. These data were statistically analysed to investigate the relations between risk factors and the incidence of ischemic stroke by chi-square test. And then significant factors were analysed to get each adjusted odds ratio[OR] by binary logistic regression analysis. Results ECG abnormality, hypertension, diabetes mellitus, HDL(high density lipoprotein) cholesterol, and SC were significantly related to the incidence of ischemic stroke, while age, sex and BMI were adjusted in a binary logistic regression analysis. Especially in SC, the incidence of ischemic stoke in Tae-eumin and Soyangin were higher than that in Soeumin (Tae-eumin OR=11.68[95% CI: 6.26-21.80], Soyangin OR=4.64[95% CI: 2.66-8.10]). Conclusions These results suggested that SC may be one of important risk factors for ischemic stroke and it should be a useful data for prediction of incidence of ischemic stroke.

keywords
Sasang Constitutional Medicine(SCM), Sasang Constitution, ischemic storke, risk factors, Case-control study, binary logistic regression analysis, Sasang Constitutional Medicine(SCM), Sasang Constitution, ischemic storke, risk factors, Case-control study, binary logistic regression analysis


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