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Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey

BACKGROUND: We updated the prevalence of obesity and evaluated the clinical utility of separate and combined waist circumference (WC) or body mass index (BMI) category increments in identifying cardiometabolic disorder (CMD) and cardiovascular disease (CVD) risk in Chinese adults. METHODS AND FINDIN...

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Autores principales: Hou, Xuhong, Lu, Juming, Weng, Jianping, Ji, Linong, Shan, Zhongyan, Liu, Jie, Tian, Haoming, Ji, Qiuhe, Zhu, Dalong, Ge, Jiapu, Lin, Lixiang, Chen, Li, Guo, Xiaohui, Zhao, Zhigang, Li, Qiang, Zhou, Zhiguang, Shan, Guangliang, Yang, Zhaojun, Yang, Wenying, Jia, Weiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592870/
https://www.ncbi.nlm.nih.gov/pubmed/23520466
http://dx.doi.org/10.1371/journal.pone.0057319
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author Hou, Xuhong
Lu, Juming
Weng, Jianping
Ji, Linong
Shan, Zhongyan
Liu, Jie
Tian, Haoming
Ji, Qiuhe
Zhu, Dalong
Ge, Jiapu
Lin, Lixiang
Chen, Li
Guo, Xiaohui
Zhao, Zhigang
Li, Qiang
Zhou, Zhiguang
Shan, Guangliang
Yang, Zhaojun
Yang, Wenying
Jia, Weiping
author_facet Hou, Xuhong
Lu, Juming
Weng, Jianping
Ji, Linong
Shan, Zhongyan
Liu, Jie
Tian, Haoming
Ji, Qiuhe
Zhu, Dalong
Ge, Jiapu
Lin, Lixiang
Chen, Li
Guo, Xiaohui
Zhao, Zhigang
Li, Qiang
Zhou, Zhiguang
Shan, Guangliang
Yang, Zhaojun
Yang, Wenying
Jia, Weiping
author_sort Hou, Xuhong
collection PubMed
description BACKGROUND: We updated the prevalence of obesity and evaluated the clinical utility of separate and combined waist circumference (WC) or body mass index (BMI) category increments in identifying cardiometabolic disorder (CMD) and cardiovascular disease (CVD) risk in Chinese adults. METHODS AND FINDINGS: 46,024 participants aged ≥20 years, a nationally representative sample surveyed in 2007–2008, were included in this analysis. Taking the cutoffs recommended by the Chinese Joint Committee for Developing Chinese Guidelines (JCDCG) and the Working Group on Obesity in China (WGOC) into account, the participants were divided into four WC and four BMI groups in 0.5-SD increments around the mean, and 16 cross-tabulated combination groups of WC and BMI. 27.1%, 31.4%, and 12.2% of Chinese adults are centrally obese, overweight, or obese according to JCDCG and WGOC criteria. After adjustment for confounders, after a 1-SD increment, WC is associated with a 1.7-fold or 2.2-fold greater risk of having DM or DM plus dyslipidemia than BMI, while BMI was associated with a 2.3-fold or 1.7-fold higher hypertension or hypertension plus dyslipidemia risk than WC. The combination of WC and BMI categories had stronger association with CMD risk, i.e., the adjusted ORs (95% CI) of having DM, hypertension, and dyslipidemia for the combined and separate highest WC and BMI categories were 2.19 (1.96–2.44) vs 1.88 (1.67–2.12) and 1.12 (0.99–1.26); 5.70 (5.24–6.19) vs 1.51 (1.39–1.65) and 1.69 (1.57–1.82); and 3.73 (3.42–4.07) vs 2.16 (1.98–2.35) and 1.33 (1.25–1.40), respectively. The combination of WC and BMI categories was more likely to identify individuals with lower WC and lower BMI at CVD risk, even after the effects of CMD were controlled (all P<0.05). CONCLUSION: Central obesity, overweight, and obesity are epidemic in Chinese adults. The combination of WC and BMI measures is superior to the separate indices in identifying CMD and CVD risk.
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spelling pubmed-35928702013-03-21 Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey Hou, Xuhong Lu, Juming Weng, Jianping Ji, Linong Shan, Zhongyan Liu, Jie Tian, Haoming Ji, Qiuhe Zhu, Dalong Ge, Jiapu Lin, Lixiang Chen, Li Guo, Xiaohui Zhao, Zhigang Li, Qiang Zhou, Zhiguang Shan, Guangliang Yang, Zhaojun Yang, Wenying Jia, Weiping PLoS One Research Article BACKGROUND: We updated the prevalence of obesity and evaluated the clinical utility of separate and combined waist circumference (WC) or body mass index (BMI) category increments in identifying cardiometabolic disorder (CMD) and cardiovascular disease (CVD) risk in Chinese adults. METHODS AND FINDINGS: 46,024 participants aged ≥20 years, a nationally representative sample surveyed in 2007–2008, were included in this analysis. Taking the cutoffs recommended by the Chinese Joint Committee for Developing Chinese Guidelines (JCDCG) and the Working Group on Obesity in China (WGOC) into account, the participants were divided into four WC and four BMI groups in 0.5-SD increments around the mean, and 16 cross-tabulated combination groups of WC and BMI. 27.1%, 31.4%, and 12.2% of Chinese adults are centrally obese, overweight, or obese according to JCDCG and WGOC criteria. After adjustment for confounders, after a 1-SD increment, WC is associated with a 1.7-fold or 2.2-fold greater risk of having DM or DM plus dyslipidemia than BMI, while BMI was associated with a 2.3-fold or 1.7-fold higher hypertension or hypertension plus dyslipidemia risk than WC. The combination of WC and BMI categories had stronger association with CMD risk, i.e., the adjusted ORs (95% CI) of having DM, hypertension, and dyslipidemia for the combined and separate highest WC and BMI categories were 2.19 (1.96–2.44) vs 1.88 (1.67–2.12) and 1.12 (0.99–1.26); 5.70 (5.24–6.19) vs 1.51 (1.39–1.65) and 1.69 (1.57–1.82); and 3.73 (3.42–4.07) vs 2.16 (1.98–2.35) and 1.33 (1.25–1.40), respectively. The combination of WC and BMI categories was more likely to identify individuals with lower WC and lower BMI at CVD risk, even after the effects of CMD were controlled (all P<0.05). CONCLUSION: Central obesity, overweight, and obesity are epidemic in Chinese adults. The combination of WC and BMI measures is superior to the separate indices in identifying CMD and CVD risk. Public Library of Science 2013-03-08 /pmc/articles/PMC3592870/ /pubmed/23520466 http://dx.doi.org/10.1371/journal.pone.0057319 Text en © 2013 Hou et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hou, Xuhong
Lu, Juming
Weng, Jianping
Ji, Linong
Shan, Zhongyan
Liu, Jie
Tian, Haoming
Ji, Qiuhe
Zhu, Dalong
Ge, Jiapu
Lin, Lixiang
Chen, Li
Guo, Xiaohui
Zhao, Zhigang
Li, Qiang
Zhou, Zhiguang
Shan, Guangliang
Yang, Zhaojun
Yang, Wenying
Jia, Weiping
Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey
title Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey
title_full Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey
title_fullStr Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey
title_full_unstemmed Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey
title_short Impact of Waist Circumference and Body Mass Index on Risk of Cardiometabolic Disorder and Cardiovascular Disease in Chinese Adults: A National Diabetes and Metabolic Disorders Survey
title_sort impact of waist circumference and body mass index on risk of cardiometabolic disorder and cardiovascular disease in chinese adults: a national diabetes and metabolic disorders survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592870/
https://www.ncbi.nlm.nih.gov/pubmed/23520466
http://dx.doi.org/10.1371/journal.pone.0057319
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