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Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults

BACKGROUND: Body composition is a crucial factor associated with the incidence of type 2 diabetes mellitus. However, no study on this relationship has been performed in the Chinese population. This study aimed to investigate the relationship between body composition indicators and risk of type 2 dia...

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Autores principales: Chen, Yongchun, He, Dongliang, Yang, Tingting, Zhou, Hao, Xiang, Siyun, Shen, Lijun, Wen, Jing, Chen, Shengcai, Peng, Songxu, Gan, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137510/
https://www.ncbi.nlm.nih.gov/pubmed/32252701
http://dx.doi.org/10.1186/s12889-020-08552-5
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author Chen, Yongchun
He, Dongliang
Yang, Tingting
Zhou, Hao
Xiang, Siyun
Shen, Lijun
Wen, Jing
Chen, Shengcai
Peng, Songxu
Gan, Yong
author_facet Chen, Yongchun
He, Dongliang
Yang, Tingting
Zhou, Hao
Xiang, Siyun
Shen, Lijun
Wen, Jing
Chen, Shengcai
Peng, Songxu
Gan, Yong
author_sort Chen, Yongchun
collection PubMed
description BACKGROUND: Body composition is a crucial factor associated with the incidence of type 2 diabetes mellitus. However, no study on this relationship has been performed in the Chinese population. This study aimed to investigate the relationship between body composition indicators and risk of type 2 diabetes mellitus among Chinese adults undergoing medical examination. METHODS: Between January 2018 and July 2018, a retrospective cross-sectional study was performed on 3367 (2307 male and 1060 female) participants aged ≥18 years undergoing medical examination in Zhengzhou. Logistic regression analysis was performed to explore the relationship between body composition indicators and risk of type 2 diabetes mellitus. A receiver operating characteristic curve was used to calculate cutoff points and the predictive power of each indicator. RESULTS: Among the 3367 participants, 12.53% were diagnosed with type 2 diabetes mellitus. Multivariate logistic analysis indicated that male participants (odds ratio [OR] = 1.68, 95% confidence interval [CI]: 1.29–2.19), older participants (OR = 1.05, 95% CI: 1.04–1.06), participants with a waist-to-hip ratio above the reference value (OR = 1.56, 95% CI: 1.18–2.07), participants with body fat percentage above the reference value (OR = 1.62, 95% CI: 1.01–2.68), and participant with a large visceral fat area (OR = 1.01, 95% CI: 1.01–1.02) had a high risk of type 2 diabetes mellitus. Waist-to-hip ratio, body fat percentage, and visceral fat area were the best indicators of type 2 diabetes mellitus (P < 0.001) with cutoff values of 0.90, 25.02%, and 92.00 cm(2), respectively. CONCLUSION: This study suggests a predictive relationship between type 2 diabetes mellitus and body composition indicators of waist-to-hip ratio, body fat percentage, and visceral fat area, which are valuable for screening diabetes and providing effective health education and behavioral intervention for high-risk populations.
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spelling pubmed-71375102020-04-11 Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults Chen, Yongchun He, Dongliang Yang, Tingting Zhou, Hao Xiang, Siyun Shen, Lijun Wen, Jing Chen, Shengcai Peng, Songxu Gan, Yong BMC Public Health Research Article BACKGROUND: Body composition is a crucial factor associated with the incidence of type 2 diabetes mellitus. However, no study on this relationship has been performed in the Chinese population. This study aimed to investigate the relationship between body composition indicators and risk of type 2 diabetes mellitus among Chinese adults undergoing medical examination. METHODS: Between January 2018 and July 2018, a retrospective cross-sectional study was performed on 3367 (2307 male and 1060 female) participants aged ≥18 years undergoing medical examination in Zhengzhou. Logistic regression analysis was performed to explore the relationship between body composition indicators and risk of type 2 diabetes mellitus. A receiver operating characteristic curve was used to calculate cutoff points and the predictive power of each indicator. RESULTS: Among the 3367 participants, 12.53% were diagnosed with type 2 diabetes mellitus. Multivariate logistic analysis indicated that male participants (odds ratio [OR] = 1.68, 95% confidence interval [CI]: 1.29–2.19), older participants (OR = 1.05, 95% CI: 1.04–1.06), participants with a waist-to-hip ratio above the reference value (OR = 1.56, 95% CI: 1.18–2.07), participants with body fat percentage above the reference value (OR = 1.62, 95% CI: 1.01–2.68), and participant with a large visceral fat area (OR = 1.01, 95% CI: 1.01–1.02) had a high risk of type 2 diabetes mellitus. Waist-to-hip ratio, body fat percentage, and visceral fat area were the best indicators of type 2 diabetes mellitus (P < 0.001) with cutoff values of 0.90, 25.02%, and 92.00 cm(2), respectively. CONCLUSION: This study suggests a predictive relationship between type 2 diabetes mellitus and body composition indicators of waist-to-hip ratio, body fat percentage, and visceral fat area, which are valuable for screening diabetes and providing effective health education and behavioral intervention for high-risk populations. BioMed Central 2020-04-06 /pmc/articles/PMC7137510/ /pubmed/32252701 http://dx.doi.org/10.1186/s12889-020-08552-5 Text en © The Author(s) 2020 Open AccessThis 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/. 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 in a credit line to the data.
spellingShingle Research Article
Chen, Yongchun
He, Dongliang
Yang, Tingting
Zhou, Hao
Xiang, Siyun
Shen, Lijun
Wen, Jing
Chen, Shengcai
Peng, Songxu
Gan, Yong
Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults
title Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults
title_full Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults
title_fullStr Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults
title_full_unstemmed Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults
title_short Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults
title_sort relationship between body composition indicators and risk of type 2 diabetes mellitus in chinese adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137510/
https://www.ncbi.nlm.nih.gov/pubmed/32252701
http://dx.doi.org/10.1186/s12889-020-08552-5
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