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Best-fit index for describing physical perspectives in Sasang typology

INTRODUCTION: We examined the best-fit index for describing the constitutional or physical characteristics of Sasang typology for its universal application. METHODS: Ponderal index (PI), body mass index (BMI), and basal metabolic rate (BMR) of the nationwide participants (n = 1663; age, 31–60 years)...

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Autores principales: Chae, Han, Kown, Youngkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481759/
https://www.ncbi.nlm.nih.gov/pubmed/28664105
http://dx.doi.org/10.1016/j.imr.2014.11.001
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author Chae, Han
Kown, Youngkyu
author_facet Chae, Han
Kown, Youngkyu
author_sort Chae, Han
collection PubMed
description INTRODUCTION: We examined the best-fit index for describing the constitutional or physical characteristics of Sasang typology for its universal application. METHODS: Ponderal index (PI), body mass index (BMI), and basal metabolic rate (BMR) of the nationwide participants (n = 1663; age, 31–60 years) were calculated. We described and analyzed the usefulness of each index for maximizing the differences between Sasang types across age and sex using box plots, Pearson's correlation, and analysis of variance. RESULTS: We found that the So-Eum, So-Yang, and Tae-Eum Sasang types were significantly (p < 0.001) different from each other in terms of PI, BMI, and BMR by the World Health Organization with weight (BMR-WHOw). The BMI was significantly correlated with PI (r = 0.933) and BMR-WHOw (r = 0.577). DISCUSSION AND CONCLUSION: These study results show that PI, BMR, and BMI have their own clinical values, and could contribute to the study of the pathophysiological mechanism underlying the Sasang typology as the hypothalamus hypothesis.
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spelling pubmed-54817592017-06-29 Best-fit index for describing physical perspectives in Sasang typology Chae, Han Kown, Youngkyu Integr Med Res Original Article INTRODUCTION: We examined the best-fit index for describing the constitutional or physical characteristics of Sasang typology for its universal application. METHODS: Ponderal index (PI), body mass index (BMI), and basal metabolic rate (BMR) of the nationwide participants (n = 1663; age, 31–60 years) were calculated. We described and analyzed the usefulness of each index for maximizing the differences between Sasang types across age and sex using box plots, Pearson's correlation, and analysis of variance. RESULTS: We found that the So-Eum, So-Yang, and Tae-Eum Sasang types were significantly (p < 0.001) different from each other in terms of PI, BMI, and BMR by the World Health Organization with weight (BMR-WHOw). The BMI was significantly correlated with PI (r = 0.933) and BMR-WHOw (r = 0.577). DISCUSSION AND CONCLUSION: These study results show that PI, BMR, and BMI have their own clinical values, and could contribute to the study of the pathophysiological mechanism underlying the Sasang typology as the hypothalamus hypothesis. Elsevier 2015-03 2014-11-20 /pmc/articles/PMC5481759/ /pubmed/28664105 http://dx.doi.org/10.1016/j.imr.2014.11.001 Text en © 2015 Korea Institute of Oriental Medicine. Published by Elsevier. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Chae, Han
Kown, Youngkyu
Best-fit index for describing physical perspectives in Sasang typology
title Best-fit index for describing physical perspectives in Sasang typology
title_full Best-fit index for describing physical perspectives in Sasang typology
title_fullStr Best-fit index for describing physical perspectives in Sasang typology
title_full_unstemmed Best-fit index for describing physical perspectives in Sasang typology
title_short Best-fit index for describing physical perspectives in Sasang typology
title_sort best-fit index for describing physical perspectives in sasang typology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481759/
https://www.ncbi.nlm.nih.gov/pubmed/28664105
http://dx.doi.org/10.1016/j.imr.2014.11.001
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