고혈압 단계별 변증특성 분석
Pattern Analysis in Patients with Hypertension grades
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To investigate and characterize basic patterns of prehypertension. Participants were divided into three groups; ideal blood pressure(n=40), prehypertension(n=62), and stage 1 hypertension groups(n=68) according to the JNC 7 standards. They answered questionnaire asking various symptoms and received clinical examination. Data were collected and analyzed in the focus of three Zheng patterns, cold-heat, deficiency-excess and four major hypertension types. Analysis of variance was used to find differences among groups. In addition, relationship between the cold-heat trends and risk factors of hypertension were analyzed using Pearson’s correlation analysis. Three risk factors; age, body mass index (BMI), and fasting blood sugar (FBS) showed intergroup differences. Statistical significances were revealed in the cold-heat pattern and two hypertension subtypes. The cold scores decreased from 4.8±1.84 to 3.9±1.88 and 3.7±1.27 (p=0.022), while the heat increased from 1.9±1.32 to 2.8±1.72 and 2.8±1.48 (p=0.009). Additionally two hypertension subtypes, the excessive liver fire, and the yin-yang deficiency showed significant differences. Cold had negative correlations with blood pressure (both systolic and diastolic), BMI, triglyceride, and FBS. Heat had positive correlations with systolic blood pressure, BMI, triglyceride, and FBS. Prehypertension could be characterized by using the cold-heat patterns. The cold-heat are correlated with Blood pressure, BMI, blood lipids and sugar.
Abstract
To investigate and characterize basic patterns of prehypertension. Participants were divided into three groups; ideal blood pressure(n=40), prehypertension(n=62), and stage 1 hypertension groups(n=68) according to the JNC 7 standards. They answered questionnaire asking various symptoms and received clinical examination. Data were collected and analyzed in the focus of three Zheng patterns, cold-heat, deficiency-excess and four major hypertension types. Analysis of variance was used to find differences among groups. In addition, relationship between the cold-heat trends and risk factors of hypertension were analyzed using Pearson’s correlation analysis. Three risk factors; age, body mass index (BMI), and fasting blood sugar (FBS) showed intergroup differences. Statistical significances were revealed in the cold-heat pattern and two hypertension subtypes. The cold scores decreased from 4.8±1.84 to 3.9±1.88 and 3.7±1.27 (p=0.022), while the heat increased from 1.9±1.32 to 2.8±1.72 and 2.8±1.48 (p=0.009). Additionally two hypertension subtypes, the excessive liver fire, and the yin-yang deficiency showed significant differences. Cold had negative correlations with blood pressure (both systolic and diastolic), BMI, triglyceride, and FBS. Heat had positive correlations with systolic blood pressure, BMI, triglyceride, and FBS. Prehypertension could be characterized by using the cold-heat patterns. The cold-heat are correlated with Blood pressure, BMI, blood lipids and sugar.
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