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Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study

BACKGROUND: To examine whether the use of Sasang constitutional (SC) types, such as Tae-yang (TY), Tae-eum (TE), So-yang (SY), and So-eum (SE) types, increases the accuracy of risk prediction for metabolic syndrome. METHODS: From 2001 to 2014, 3529 individuals aged 40 to 69 years participated in a l...

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Autores principales: Lee, Sunghee, Lee, Seung Ku, Kim, Jong Yeol, Cho, Namhan, Shin, Chol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581468/
https://www.ncbi.nlm.nih.gov/pubmed/28865470
http://dx.doi.org/10.1186/s12906-017-1936-4
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author Lee, Sunghee
Lee, Seung Ku
Kim, Jong Yeol
Cho, Namhan
Shin, Chol
author_facet Lee, Sunghee
Lee, Seung Ku
Kim, Jong Yeol
Cho, Namhan
Shin, Chol
author_sort Lee, Sunghee
collection PubMed
description BACKGROUND: To examine whether the use of Sasang constitutional (SC) types, such as Tae-yang (TY), Tae-eum (TE), So-yang (SY), and So-eum (SE) types, increases the accuracy of risk prediction for metabolic syndrome. METHODS: From 2001 to 2014, 3529 individuals aged 40 to 69 years participated in a longitudinal prospective cohort. The Cox proportional hazard model was utilized to predict the risk of developing metabolic syndrome. RESULTS: During the 14 year follow-up, 1591 incident events of metabolic syndrome were observed. Individuals with TE type had higher body mass indexes and waist circumferences than individuals with SY and SE types. The risk of developing metabolic syndrome was the highest among individuals with the TE type, followed by the SY type and the SE type. When the prediction risk models for incident metabolic syndrome were compared, the area under the curve for the model using SC types was significantly increased to 0.8173. Significant predictors for incident metabolic syndrome were different according to the SC types. For individuals with the TE type, the significant predictors were age, sex, body mass index (BMI), education, smoking, drinking, fasting glucose level, high-density lipoprotein (HDL) cholesterol level, systolic and diastolic blood pressure, and triglyceride level. For Individuals with the SE type, the predictors were sex, smoking, fasting glucose, HDL cholesterol level, systolic and diastolic blood pressure, and triglyceride level, while the predictors in individuals with the SY type were age, sex, BMI, smoking, drinking, total cholesterol level, fasting glucose level, HDL cholesterol level, systolic and diastolic blood pressure, and triglyceride level. CONCLUSIONS: In this prospective cohort study among 3529 individuals, we observed that utilizing the SC types significantly increased the accuracy of the risk prediction for the development of metabolic syndrome.
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spelling pubmed-55814682017-09-06 Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study Lee, Sunghee Lee, Seung Ku Kim, Jong Yeol Cho, Namhan Shin, Chol BMC Complement Altern Med Research Article BACKGROUND: To examine whether the use of Sasang constitutional (SC) types, such as Tae-yang (TY), Tae-eum (TE), So-yang (SY), and So-eum (SE) types, increases the accuracy of risk prediction for metabolic syndrome. METHODS: From 2001 to 2014, 3529 individuals aged 40 to 69 years participated in a longitudinal prospective cohort. The Cox proportional hazard model was utilized to predict the risk of developing metabolic syndrome. RESULTS: During the 14 year follow-up, 1591 incident events of metabolic syndrome were observed. Individuals with TE type had higher body mass indexes and waist circumferences than individuals with SY and SE types. The risk of developing metabolic syndrome was the highest among individuals with the TE type, followed by the SY type and the SE type. When the prediction risk models for incident metabolic syndrome were compared, the area under the curve for the model using SC types was significantly increased to 0.8173. Significant predictors for incident metabolic syndrome were different according to the SC types. For individuals with the TE type, the significant predictors were age, sex, body mass index (BMI), education, smoking, drinking, fasting glucose level, high-density lipoprotein (HDL) cholesterol level, systolic and diastolic blood pressure, and triglyceride level. For Individuals with the SE type, the predictors were sex, smoking, fasting glucose, HDL cholesterol level, systolic and diastolic blood pressure, and triglyceride level, while the predictors in individuals with the SY type were age, sex, BMI, smoking, drinking, total cholesterol level, fasting glucose level, HDL cholesterol level, systolic and diastolic blood pressure, and triglyceride level. CONCLUSIONS: In this prospective cohort study among 3529 individuals, we observed that utilizing the SC types significantly increased the accuracy of the risk prediction for the development of metabolic syndrome. BioMed Central 2017-09-02 /pmc/articles/PMC5581468/ /pubmed/28865470 http://dx.doi.org/10.1186/s12906-017-1936-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lee, Sunghee
Lee, Seung Ku
Kim, Jong Yeol
Cho, Namhan
Shin, Chol
Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
title Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
title_full Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
title_fullStr Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
title_full_unstemmed Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
title_short Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
title_sort sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581468/
https://www.ncbi.nlm.nih.gov/pubmed/28865470
http://dx.doi.org/10.1186/s12906-017-1936-4
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