한열변증과 체형 및 체성분의 연관성 분석 – 50세 이상 장년 및 노년층을 대상으로
Association of Cold-heat Pattern and Anthropometry/body Composition in Individuals Between 50–80 Years of Age
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The association of cold-heat (CH) pattern and anthropometry/body composition has been suggested in that they are related to thermoregulation. We aimed to study the association of CH pattern and anthropometry/body composition. A total of 1479 individuals aged 50–80 years were included in the study, and their CH pattern were evaluated by a self-administered questionnaire. After adjustment for age and sex, the CH score were significantly correlated with weight, BMI (body mass index), body surface area, waist-hip ratio, fat free mass, body fat mass, body cell mass, intracellular water, extracellular water, and basal metabolic rate; however, the correlation coefficients were mostly low (0.15–0.24). The selected variables for predicting CH score were various according to the methods used for variable selection; however, the adjusted R-squared of the final models were all around 0.12. Thus the most parsimonious model could be the one that includes sex and BMI. In conclusion, various anthropometry and body composition indices were associated with CH pattern. Future studies are necessary to improve the performance of the prediction model.
Abstract
The association of cold-heat (CH) pattern and anthropometry/body composition has been suggested in that they are related to thermoregulation. We aimed to study the association of CH pattern and anthropometry/body composition. A total of 1479 individuals aged 50–80 years were included in the study, and their CH pattern were evaluated by a self-administered questionnaire. After adjustment for age and sex, the CH score were significantly correlated with weight, BMI (body mass index), body surface area, waist-hip ratio, fat free mass, body fat mass, body cell mass, intracellular water, extracellular water, and basal metabolic rate; however, the correlation coefficients were mostly low (0.15–0.24). The selected variables for predicting CH score were various according to the methods used for variable selection; however, the adjusted R-squared of the final models were all around 0.12. Thus the most parsimonious model could be the one that includes sex and BMI. In conclusion, various anthropometry and body composition indices were associated with CH pattern. Future studies are necessary to improve the performance of the prediction model.
참고문헌 (28)
- Jiang M, "Syndrome differentiation in modern research of traditional Chinese medicine", J Ethnopharmacol, 140(3), pp.634~642 (2012)
- 배광호, "Perception of cold and heat pattern identification in diseases: a survey of Korean medicine doctors", Integrative Medicine Research, 6(1), pp.26~32 (2017), 한국한의학연구원[DOI]
- Nagashima K, "Thermal regulation and comfort during a mild-cold exposure in young Japanese women complaining of unusual coldness", J Appl Physiol, 92(3), pp.1029~1035 (2002)
- 이민혜, "2000년 이후 갑상선 기능저하증에 대한 국내 한의학 실험연구 체계적 고찰", 대한한방내과학회지, 36(4), pp.570~581 (2015), 대한한방내과학회
- Pham DD, "Relationship of the Cold-Heat sensation of the limbs and abdomen with physiological biomarkers", Evidence-Based Complement Altern Med, 2016, pp.1~11 (2016)
- Mun S, "The Association of Quantitative Facial Color Features with Cold Pattern in Traditional East Asian Medicine", Evidence-based Complement Altern Med, 2017 (2017)
- Mun S, "Cold and Spleen-Qi Deficiency Patterns in Korean Medicine are associated with low resting metabolic rate", Evidence-Based Complement Altern Med, 2017, pp.1~8 (2017)
- Mun S, "Association between Resting Energy Expenditure and Heat Pattern in Traditional Medicine", Evidence-Based Complement Altern Med, 2020, pp.1~5 (2020)
- Park YJ, "Relationships between oriental medical pattern diagnosis and cardiovascular autonomic function", Eur J Integr Med, 5(6), pp.506~513 (2013)
- 배광호, "추적관찰을 통해 살펴본 한증 HRV지표", 동의생리병리학회지, 34(1), pp.30~36 (2020), 한의병리학회
- Heymsfield SB, "Techniques used in the measurement of body composition: An overview with emphasis on bioelectrical impedance analysis", Am J Clin Nutr, 64(3 SUPPL) (1996)
- Lee M-J, "Body Composition Analysis Study of Postpartum Women With Cold-Hypersensitivity", J Orient Med Thermol, 9(1), pp.22~28 (2011)
- 이주호, "체성분 분석의 부종지수와 변증설문과의 상관성 연구", 대한한의진단학회지, 16(1), pp.27~34 (2012), 대한한의진단학회
- 윤영흠, "Developing an optimized cold", heat questionnaire, 2015, pp.4(4), 225~230[DOI]
- Mosteller RD, "Simplified calculation of body surface area", N Engl J Med, 317(17), pp.1098~ (1987)
- Cunningham JJ, "Body composition as a determinant of energy expenditure : a synthetic review and a proposed general prediction equation", Am J Clin Nutr, 54(6), pp.963~969 (1991)
- James G, "An introduction to statistical learning", pp.203~228 (2013), Springer
- Jang J-S, "A practical approach to Sasang constitutional diagnosis using vocal features", BMC Complement Altern Med, 13(1), pp.307~ (2013)
- Anderson GS, "Human morphology and temperature regulation", Int J Biometeorol, 43(3), pp.99~109 (1999)
- Wang Z, "Metabolically active portion of fat-free mass : a cellular body composition level modeling analysis", Am J Physiol Metab, 292(1), pp.E49~E53 (2007)
- Jéquier E, "Water as an essential nutrient : the physiological basis of hydration", Eur J Clin Nutr, 64(2), pp.115~123 (2010)
- Rupp RF, "Associations of occupant demographics, thermal history and obesity variables with their thermal comfort in air-conditioned and mixed-mode ventilation office buildings", Build Environ, 135, pp.1~9 (2018)
- Mozaffarieh M, "Thermal discomfort with cold extremities in relation to age, gender, and body mass index in a random sample of a Swiss urban population", Popul Health Metr, 8, pp.17~ (2010)
- Kaciuba-Uscilko H, "Gender differences in thermoregulation", Curr Opin Clin Nutr Metab Care, 4(6), pp.533~536 (2001)
- Cooke JP, "Sex differences in control of cutaneous blood flow", Circulation, 82, pp.1607~1615 (1990)
- Dougherty KA, "Responses of lean and obese boys to repeated summer exercise in the heat bouts", Med Sci Sports Exerc, 41(2), pp.279~289 (2009)
- Kingma B, "The thermoneutral zone: implications for metabolic studies", Front Biosci, E4(1), pp.1975~ (2012)
- Kyle UG, "Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years", Eur J Clin Nutr, 55(8), pp.663~672 (2001)