- P-ISSN 1010-0695
- E-ISSN 2288-3339
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- P-ISSN1010-0695
- E-ISSN2288-3339
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Study on the Anthropometric and Body Composition Indices for Prediction of Cold and Heat Pattern
Journal of Korean Medicine / Journal of Korean Medicine, (P)1010-0695; (E)2288-3339
2021, v.42 no.4, pp.195-206
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(2021). Study on the Anthropometric and Body Composition Indices for Prediction of Cold and Heat Pattern. Journal of Korean Medicine, 42(4), 195-206.
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Abstract
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.
- keywords
- Pattern identification, Cold pattern, Heat pattern, Anthropometry, Body composition
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