Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015

Abstract Metabolic syndrome (MS) is diagnosed using absolute criteria that do not consider age and sex, but most studies have shown that the prevalence of MS increases with age in both sexes. Thus, the evaluation of MS should consider sex and age. We aimed to develop a new index that considers the a...

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Autores principales:	Chul-Young Bae, Meihua Piao, Miyoung Kim, Yoori Im, Sungkweon Kim, Donguk Kim, Junho Choi, Kyung Hee Cho
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/aa2cb95df9814966807995fd654b4a63
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spelling	oai:doaj.org-article:aa2cb95df9814966807995fd654b4a632021-12-02T15:22:58ZBiological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–201510.1038/s41598-020-79256-42045-2322https://doaj.org/article/aa2cb95df9814966807995fd654b4a632021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79256-4https://doaj.org/toc/2045-2322Abstract Metabolic syndrome (MS) is diagnosed using absolute criteria that do not consider age and sex, but most studies have shown that the prevalence of MS increases with age in both sexes. Thus, the evaluation of MS should consider sex and age. We aimed to develop a new index that considers the age and sex for evaluating an individual’s relative overall MS status. Data of 16,518,532 subjects (8,671,838 males and 7,846,694 females) who completed a validated health survey of the National Health Insurance Service of the Republic of Korea (2014‒2015) were analyzed to develop an MS-biological age model. Principal component score analysis using waist circumference, pulse pressure, fasting blood sugar, triglyceride levels, and high-density lipoprotein level, but not age, as independent variables were performed to derive an index of health status and biological age. In both sexes, the age according to the MS-biological age model increased with rising smoking and alcohol consumption habits and decreased with rising physical activity. Particularly, smoking and drinking affected females, whereas physical activity affected males. The MS-biological age model can be a supplementary tool for evaluating and managing MS, quantitatively measuring the effect of lifestyle changes on MS, and motivating patients to maintain a healthy lifestyle.Chul-Young BaeMeihua PiaoMiyoung KimYoori ImSungkweon KimDonguk KimJunho ChoiKyung Hee ChoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chul-Young Bae Meihua Piao Miyoung Kim Yoori Im Sungkweon Kim Donguk Kim Junho Choi Kyung Hee Cho Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
description	Abstract Metabolic syndrome (MS) is diagnosed using absolute criteria that do not consider age and sex, but most studies have shown that the prevalence of MS increases with age in both sexes. Thus, the evaluation of MS should consider sex and age. We aimed to develop a new index that considers the age and sex for evaluating an individual’s relative overall MS status. Data of 16,518,532 subjects (8,671,838 males and 7,846,694 females) who completed a validated health survey of the National Health Insurance Service of the Republic of Korea (2014‒2015) were analyzed to develop an MS-biological age model. Principal component score analysis using waist circumference, pulse pressure, fasting blood sugar, triglyceride levels, and high-density lipoprotein level, but not age, as independent variables were performed to derive an index of health status and biological age. In both sexes, the age according to the MS-biological age model increased with rising smoking and alcohol consumption habits and decreased with rising physical activity. Particularly, smoking and drinking affected females, whereas physical activity affected males. The MS-biological age model can be a supplementary tool for evaluating and managing MS, quantitatively measuring the effect of lifestyle changes on MS, and motivating patients to maintain a healthy lifestyle.
format	article
author	Chul-Young Bae Meihua Piao Miyoung Kim Yoori Im Sungkweon Kim Donguk Kim Junho Choi Kyung Hee Cho
author_facet	Chul-Young Bae Meihua Piao Miyoung Kim Yoori Im Sungkweon Kim Donguk Kim Junho Choi Kyung Hee Cho
author_sort	Chul-Young Bae
title	Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
title_short	Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
title_full	Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
title_fullStr	Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
title_full_unstemmed	Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
title_sort	biological age and lifestyle in the diagnosis of metabolic syndrome: the nhis health screening data, 2014–2015
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/aa2cb95df9814966807995fd654b4a63
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Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015

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