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Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study

BACKGROUND: Cardiometabolic multimorbidity (CMM) and obesity represent two major health problems. The relationship between adiposity indices and CMM, however, remains understudied. This study aimed to investigate the associations of body mass index (BMI), waist circumference (WC), waist-to-height ra...

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Autores principales: Qin, Xiaoru, Chen, Chaolei, Wang, Jiabin, Cai, Anping, Feng, Xiaoxuan, Jiang, Xiaofei, Feng, Yingqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590510/
https://www.ncbi.nlm.nih.gov/pubmed/37865773
http://dx.doi.org/10.1186/s12872-023-03543-x
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author Qin, Xiaoru
Chen, Chaolei
Wang, Jiabin
Cai, Anping
Feng, Xiaoxuan
Jiang, Xiaofei
Feng, Yingqing
author_facet Qin, Xiaoru
Chen, Chaolei
Wang, Jiabin
Cai, Anping
Feng, Xiaoxuan
Jiang, Xiaofei
Feng, Yingqing
author_sort Qin, Xiaoru
collection PubMed
description BACKGROUND: Cardiometabolic multimorbidity (CMM) and obesity represent two major health problems. The relationship between adiposity indices and CMM, however, remains understudied. This study aimed to investigate the associations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) with CMM among Chinese adults. METHODS: Data of 101,973 participants were collected from a population-based screening project in Southern China. CMM was defined as having two or more of the following diseases: coronary heart disease, stroke, hypertension, and diabetes. The relationship between the six adiposity indices and CMM was investigated by multivariate logistic regression and restricted cubic splines. Receiver operator characteristic curve, C-statistic and net reclassification index were used to estimate the discriminative and incremental values of adiposity indices on CMM. RESULTS: Logistic regression models showed the six adiposity indices were all significantly associated with the odds of CMM with non-linear relationships. For per SD increment, WC (Odds ratio [OR]: 1.66; 95% confidence interval (CI): 1.62–1.70) and WHtR (OR, 1.61; 95% CI, 1.58–1.65) were more significantly associated with a higher prevalence of CMM than BMI (OR, 1.55; 95% CI, 1.52–1.58) (all P < 0.05). In addition, WC, WHtR, and BRI displayed significantly better performance in detecting CMM compared with BMI (all P < 0.05). Their respective area under the curve (AUC) values were 0.675 (95% CI: 0.670–0.680), 0.679 (95% CI: 0.675–0.684), and 0.679 (95% CI: 0.675–0.684), while BMI yielded an AUC of 0.637 (95% CI: 0.632–0.643). These findings hold true across all subgroups based on sex and age. When Adding WC, WHtR, or BRI to a base model, they all provided larger incremental values for the discrimination of CMM compared with BMI (all P < 0.05). CONCLUSIONS: Adiposity indices were closely associated with the odds of CMM, with WC and WHtR demonstrating stronger associations than BMI. WC, WHtR, and BRI were superior to BMI in discriminative ability for CMM. Avoidance of obesity (especially abdominal obesity) may be the preferred primary prevention strategy for CMM while controlling for other major CMM risk factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-023-03543-x.
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spelling pubmed-105905102023-10-23 Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study Qin, Xiaoru Chen, Chaolei Wang, Jiabin Cai, Anping Feng, Xiaoxuan Jiang, Xiaofei Feng, Yingqing BMC Cardiovasc Disord Research BACKGROUND: Cardiometabolic multimorbidity (CMM) and obesity represent two major health problems. The relationship between adiposity indices and CMM, however, remains understudied. This study aimed to investigate the associations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) with CMM among Chinese adults. METHODS: Data of 101,973 participants were collected from a population-based screening project in Southern China. CMM was defined as having two or more of the following diseases: coronary heart disease, stroke, hypertension, and diabetes. The relationship between the six adiposity indices and CMM was investigated by multivariate logistic regression and restricted cubic splines. Receiver operator characteristic curve, C-statistic and net reclassification index were used to estimate the discriminative and incremental values of adiposity indices on CMM. RESULTS: Logistic regression models showed the six adiposity indices were all significantly associated with the odds of CMM with non-linear relationships. For per SD increment, WC (Odds ratio [OR]: 1.66; 95% confidence interval (CI): 1.62–1.70) and WHtR (OR, 1.61; 95% CI, 1.58–1.65) were more significantly associated with a higher prevalence of CMM than BMI (OR, 1.55; 95% CI, 1.52–1.58) (all P < 0.05). In addition, WC, WHtR, and BRI displayed significantly better performance in detecting CMM compared with BMI (all P < 0.05). Their respective area under the curve (AUC) values were 0.675 (95% CI: 0.670–0.680), 0.679 (95% CI: 0.675–0.684), and 0.679 (95% CI: 0.675–0.684), while BMI yielded an AUC of 0.637 (95% CI: 0.632–0.643). These findings hold true across all subgroups based on sex and age. When Adding WC, WHtR, or BRI to a base model, they all provided larger incremental values for the discrimination of CMM compared with BMI (all P < 0.05). CONCLUSIONS: Adiposity indices were closely associated with the odds of CMM, with WC and WHtR demonstrating stronger associations than BMI. WC, WHtR, and BRI were superior to BMI in discriminative ability for CMM. Avoidance of obesity (especially abdominal obesity) may be the preferred primary prevention strategy for CMM while controlling for other major CMM risk factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-023-03543-x. BioMed Central 2023-10-21 /pmc/articles/PMC10590510/ /pubmed/37865773 http://dx.doi.org/10.1186/s12872-023-03543-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (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
Qin, Xiaoru
Chen, Chaolei
Wang, Jiabin
Cai, Anping
Feng, Xiaoxuan
Jiang, Xiaofei
Feng, Yingqing
Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
title Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
title_full Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
title_fullStr Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
title_full_unstemmed Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
title_short Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
title_sort association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590510/
https://www.ncbi.nlm.nih.gov/pubmed/37865773
http://dx.doi.org/10.1186/s12872-023-03543-x
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