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Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese

BACKGROUND: We aimed to define refined body shapes by using multiple anthropometric traits that represent fat distribution, and evaluate their associations with risk of insulin resistance (IR) and cardiometabolic disorders in a Chinese population. METHODS: We performed a cross-sectional analysis in...

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Autores principales: Zhou, Yulin, Hou, Yanan, Xiang, Jiali, Dai, Huajie, Li, Mian, Wang, Tiange, Wang, Shuangyuan, Lin, Hong, Lu, Jieli, Xu, Yu, Chen, Yuhong, Wang, Weiqing, Bi, Yufang, Xu, Min, Zhao, Zhiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650554/
https://www.ncbi.nlm.nih.gov/pubmed/34876164
http://dx.doi.org/10.1186/s12986-021-00629-1
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author Zhou, Yulin
Hou, Yanan
Xiang, Jiali
Dai, Huajie
Li, Mian
Wang, Tiange
Wang, Shuangyuan
Lin, Hong
Lu, Jieli
Xu, Yu
Chen, Yuhong
Wang, Weiqing
Bi, Yufang
Xu, Min
Zhao, Zhiyun
author_facet Zhou, Yulin
Hou, Yanan
Xiang, Jiali
Dai, Huajie
Li, Mian
Wang, Tiange
Wang, Shuangyuan
Lin, Hong
Lu, Jieli
Xu, Yu
Chen, Yuhong
Wang, Weiqing
Bi, Yufang
Xu, Min
Zhao, Zhiyun
author_sort Zhou, Yulin
collection PubMed
description BACKGROUND: We aimed to define refined body shapes by using multiple anthropometric traits that represent fat distribution, and evaluate their associations with risk of insulin resistance (IR) and cardiometabolic disorders in a Chinese population. METHODS: We performed a cross-sectional analysis in 6570 community-based participants aged ≥ 40 years. Four body circumferences (neck, waist, hip, and thigh) and their ratios were put simultaneously into an open-source Waikato Environment for Knowledge Analysis platform to select the worthiest indicators in determining IR. The ratio of the top 3 fat distribution indicators was used to define the refined body shapes. RESULTS: We defined 8 distinct body shapes based on sex-specific combinations of waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR), and waist-to-neck ratio (WNR), which differed in participants’ distribution and risk of IR and related cardiometabolic disorders. In women, as compared to the low WHR-low WTR-low WNR shape, all body shapes were significantly associated with IR and related cardiometabolic disorders; while in men, the low WHR-high WTR-high WNR shape and the higher WHR related shapes were significantly associated with IR and related cardiometabolic disorders. Stratified by WHR, the results were consistent in women; however, no significant associations were detected in men. CONCLUSIONS: We defined 8 distinct body shapes by taking WHR, WTR, and WNR, simultaneously into account, which differed in association with the risk of IR and related cardiometabolic disorders in women. This study suggests that body shapes defined by multiple anthropometric traits could provide a useful, convenient, and easily available method for identifying cardiometabolic risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-021-00629-1.
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spelling pubmed-86505542021-12-07 Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese Zhou, Yulin Hou, Yanan Xiang, Jiali Dai, Huajie Li, Mian Wang, Tiange Wang, Shuangyuan Lin, Hong Lu, Jieli Xu, Yu Chen, Yuhong Wang, Weiqing Bi, Yufang Xu, Min Zhao, Zhiyun Nutr Metab (Lond) Research BACKGROUND: We aimed to define refined body shapes by using multiple anthropometric traits that represent fat distribution, and evaluate their associations with risk of insulin resistance (IR) and cardiometabolic disorders in a Chinese population. METHODS: We performed a cross-sectional analysis in 6570 community-based participants aged ≥ 40 years. Four body circumferences (neck, waist, hip, and thigh) and their ratios were put simultaneously into an open-source Waikato Environment for Knowledge Analysis platform to select the worthiest indicators in determining IR. The ratio of the top 3 fat distribution indicators was used to define the refined body shapes. RESULTS: We defined 8 distinct body shapes based on sex-specific combinations of waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR), and waist-to-neck ratio (WNR), which differed in participants’ distribution and risk of IR and related cardiometabolic disorders. In women, as compared to the low WHR-low WTR-low WNR shape, all body shapes were significantly associated with IR and related cardiometabolic disorders; while in men, the low WHR-high WTR-high WNR shape and the higher WHR related shapes were significantly associated with IR and related cardiometabolic disorders. Stratified by WHR, the results were consistent in women; however, no significant associations were detected in men. CONCLUSIONS: We defined 8 distinct body shapes by taking WHR, WTR, and WNR, simultaneously into account, which differed in association with the risk of IR and related cardiometabolic disorders in women. This study suggests that body shapes defined by multiple anthropometric traits could provide a useful, convenient, and easily available method for identifying cardiometabolic risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-021-00629-1. BioMed Central 2021-12-07 /pmc/articles/PMC8650554/ /pubmed/34876164 http://dx.doi.org/10.1186/s12986-021-00629-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Zhou, Yulin
Hou, Yanan
Xiang, Jiali
Dai, Huajie
Li, Mian
Wang, Tiange
Wang, Shuangyuan
Lin, Hong
Lu, Jieli
Xu, Yu
Chen, Yuhong
Wang, Weiqing
Bi, Yufang
Xu, Min
Zhao, Zhiyun
Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese
title Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese
title_full Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese
title_fullStr Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese
title_full_unstemmed Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese
title_short Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese
title_sort associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly chinese
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650554/
https://www.ncbi.nlm.nih.gov/pubmed/34876164
http://dx.doi.org/10.1186/s12986-021-00629-1
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