Cargando…
Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015
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 se...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801435/ https://www.ncbi.nlm.nih.gov/pubmed/33431923 http://dx.doi.org/10.1038/s41598-020-79256-4 |
_version_ | 1783635574323675136 |
---|---|
author | Bae, Chul-Young Piao, Meihua Kim, Miyoung Im, Yoori Kim, Sungkweon Kim, Donguk Choi, Junho Cho, Kyung Hee |
author_facet | Bae, Chul-Young Piao, Meihua Kim, Miyoung Im, Yoori Kim, Sungkweon Kim, Donguk Choi, Junho Cho, Kyung Hee |
author_sort | Bae, Chul-Young |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7801435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78014352021-01-12 Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015 Bae, Chul-Young Piao, Meihua Kim, Miyoung Im, Yoori Kim, Sungkweon Kim, Donguk Choi, Junho Cho, Kyung Hee Sci Rep Article 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. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801435/ /pubmed/33431923 http://dx.doi.org/10.1038/s41598-020-79256-4 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bae, Chul-Young Piao, Meihua Kim, Miyoung Im, Yoori Kim, Sungkweon Kim, Donguk Choi, Junho Cho, Kyung Hee Biological age and lifestyle in the diagnosis of metabolic syndrome: the NHIS health screening data, 2014–2015 |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801435/ https://www.ncbi.nlm.nih.gov/pubmed/33431923 http://dx.doi.org/10.1038/s41598-020-79256-4 |
work_keys_str_mv | AT baechulyoung biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT piaomeihua biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT kimmiyoung biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT imyoori biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT kimsungkweon biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT kimdonguk biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT choijunho biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 AT chokyunghee biologicalageandlifestyleinthediagnosisofmetabolicsyndromethenhishealthscreeningdata20142015 |