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

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8체질로 분류한 한국 여성의 영양소 섭취 수준과 혈중 지질 농도와의 관계

Relationship Between Nutrient Intakes and Blood Biochemical Parameters of Korean Female Subjects Classified by Eight Constitution Medicine

대한한의학회지 / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2013, v.34 no.3, pp.143-152
조병제 (체담한방병원)
김미정 (부산대학교)
김미정 (신라대학교)
송영옥 (부산대학교)
조병제, 김미정, 김미정, & 송영옥. (2013). 8체질로 분류한 한국 여성의 영양소 섭취 수준과 혈중 지질 농도와의 관계. 대한한의학회지, 34(3), 143-152.
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Abstract

Objectives: To investigate the relationship between nutrient intakes and blood biochemical parameters of Korean women classified by the Eight Constitutions. Methods: The constitutions of female subjects were determined by the methods of eight constitutional pulse formation. Anthropometric characteristics and blood biochemical parameters including fasting blood glucose (FSB), serum lipid profiles, homocysteine, and insulin were determined. Food frequency questionnaires were used to evaluate the nutrient intake of the subjects. Results: Subjects were classified as Hepatonia 16.8%, Cholecystonia 2.8%, Pancreotonia 58.9%, Pulmotonia 5.1%, Colonotonia 16.4%, respectively. Gastrotonia, Renotonia, and Vesicotonia individuals were not present in this study. BMI, total calorie and fat intakes of the Mok constitutions (Hepatonia and Cholecystonia) were higher than those of the Gum constitutions (Pulmotonia and Colonotonia) (p<0.05). Triglyceride, total cholesterol, and LDL-C concentrations for the Cholecystonia were the highest while those for the Pulmotonia (p<0.05) were lowest, which is in line with the results from nutrient intakes. Conclusions: Total calorie and fat intake among subjects with different constitutions were different. BMI and serum lipid profiles positively associated with calorie and nutrients intakes were significantly higher in Mok constitutions than Gum constitutions. Personalized diet plans seem to be needed for subjects on a special diet due to the individual constitutional differences.

keywords
Eight Constitution medicine, nutrition, BMI, lipid profile


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