Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk

Abstract The aim of the study was to evaluate the usefulness of conicity index (CI) adjusted total body fat (TBF), which was defined as TBF/CI, in various metabolic diseases in young adults. A cross-sectional study was carried out in Chinese PLA General Hospital and a total of 1365 young adults (age...

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Autores principales:	Yujie Zhang, Qiang Zeng, Xiaoying Li, Pengli Zhu, Feng Huang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b06b25b664894d61a74e5b1fd2e39811
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spelling	oai:doaj.org-article:b06b25b664894d61a74e5b1fd2e398112021-12-02T15:08:04ZApplication of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk10.1038/s41598-018-28463-12045-2322https://doaj.org/article/b06b25b664894d61a74e5b1fd2e398112018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-28463-1https://doaj.org/toc/2045-2322Abstract The aim of the study was to evaluate the usefulness of conicity index (CI) adjusted total body fat (TBF), which was defined as TBF/CI, in various metabolic diseases in young adults. A cross-sectional study was carried out in Chinese PLA General Hospital and a total of 1365 young adults (age 20–40 years) who underwent a health check-up examination were finally included in the analysis from February 2016 to 2017. Linear Regression and logistic regression were used to further examine relationship between the index and metabolic diseases. The average age was 34.5 years. Odds Ratios (ORs) for the risk of metabolic diseases increased from the lowest to highest TBF/CI quartile (all P trends < 0.001). Young adults with increased TBF/CI had higher risk of hyperhomocysteinemia (Hhcy) (OR = 1.528, 95% confidence interval = 1.057–2.209). There was a 1.407 increase in the odds of obesity, a 1.112 increase in the odds of hyperlipidemia (HLP) and a 1.094 increase in the odds of diabetes mellitus (DM) per standard deviation (SD) increase in TBF/CI (all P < 0.001). TBF/CI showed higher predictive values for obesity, HLP, DM and Hhcy than weight adjusted total body fat (all P < 0.001). Young adults with increased TBF/CI had higher ratios of metabolic diseases, which suggested that TBF/CI can be a good indicator and had a close relationship with metabolic diseases.Yujie ZhangQiang ZengXiaoying LiPengli ZhuFeng HuangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-7 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yujie Zhang Qiang Zeng Xiaoying Li Pengli Zhu Feng Huang Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
description	Abstract The aim of the study was to evaluate the usefulness of conicity index (CI) adjusted total body fat (TBF), which was defined as TBF/CI, in various metabolic diseases in young adults. A cross-sectional study was carried out in Chinese PLA General Hospital and a total of 1365 young adults (age 20–40 years) who underwent a health check-up examination were finally included in the analysis from February 2016 to 2017. Linear Regression and logistic regression were used to further examine relationship between the index and metabolic diseases. The average age was 34.5 years. Odds Ratios (ORs) for the risk of metabolic diseases increased from the lowest to highest TBF/CI quartile (all P trends < 0.001). Young adults with increased TBF/CI had higher risk of hyperhomocysteinemia (Hhcy) (OR = 1.528, 95% confidence interval = 1.057–2.209). There was a 1.407 increase in the odds of obesity, a 1.112 increase in the odds of hyperlipidemia (HLP) and a 1.094 increase in the odds of diabetes mellitus (DM) per standard deviation (SD) increase in TBF/CI (all P < 0.001). TBF/CI showed higher predictive values for obesity, HLP, DM and Hhcy than weight adjusted total body fat (all P < 0.001). Young adults with increased TBF/CI had higher ratios of metabolic diseases, which suggested that TBF/CI can be a good indicator and had a close relationship with metabolic diseases.
format	article
author	Yujie Zhang Qiang Zeng Xiaoying Li Pengli Zhu Feng Huang
author_facet	Yujie Zhang Qiang Zeng Xiaoying Li Pengli Zhu Feng Huang
author_sort	Yujie Zhang
title	Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
title_short	Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
title_full	Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
title_fullStr	Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
title_full_unstemmed	Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
title_sort	application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/b06b25b664894d61a74e5b1fd2e39811
work_keys_str_mv	AT yujiezhang applicationofconicityindexadjustedtotalbodyfatinyoungadultsanovelmethodtoassessmetabolicdiseasesrisk AT qiangzeng applicationofconicityindexadjustedtotalbodyfatinyoungadultsanovelmethodtoassessmetabolicdiseasesrisk AT xiaoyingli applicationofconicityindexadjustedtotalbodyfatinyoungadultsanovelmethodtoassessmetabolicdiseasesrisk AT penglizhu applicationofconicityindexadjustedtotalbodyfatinyoungadultsanovelmethodtoassessmetabolicdiseasesrisk AT fenghuang applicationofconicityindexadjustedtotalbodyfatinyoungadultsanovelmethodtoassessmetabolicdiseasesrisk
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Application of conicity index adjusted total body fat in young adults-a novel method to assess metabolic diseases risk

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