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KMID : 0363620210420040195
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Journal of Korean Oriental Medicine
2021 Volume.42 No. 4 p.195 ~ p.206
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Study on the Anthropometric and Body Composition Indices for Prediction of Cold and Heat Pattern
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Mun Su-Jeong
Park Ki-Hyun
Lee Si-Woo
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Abstract
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Objectives: Many symptoms of cold and heat patterns are related to the thermoregulation of the body. Thus, we aimed to study the association of cold and heat patterns with anthropometry/body composition.
Methods: The cold and heat patterns of 2000 individuals aged 30?55 years were evaluated using a self-administered questionnaire.
Results: Among the anthropometric and body composition variables, body mass index (-0.37, 0.39) and fat mass index (-0.35, 0.38) had the highest correlation coefficients with the cold and heat pattern scores after adjustment for age and sex in the cold-heat group, while the correlation coefficients were relatively lower in the non-cold-heat group. In the cold-heat group, the most parsimonious model for the cold pattern with the variables selected by the best subset method and Lasso included sex, body mass index, waist-hip ratio, and extracellular water/total body water (adjusted R2 = 0.324), and the model for heat pattern additionally included age (adjusted R2 = 0.292).
Conclusions: The variables related to obesity and water balance were the most useful for predicting cold and heat patterns. Further studies are required to improve the performance of prediction models.
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KEYWORD
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Pattern identification, Cold pattern, Heat pattern, Anthropometry, Body composition
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