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Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China

BACKGROUND AND OBJECTIVE: The association between hypertension and obesity has been confirmed, while no agreement has been reached about which anthropometric adiposity index is the best. This meta-analysis aimed to perform a systematic review and meta-analysis on the associations of hypertension ris...

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Autores principales: Deng, Guijuan, Yin, Lu, Liu, Weida, Liu, Xiaoyun, Xiang, Quanyong, Qian, Zhenzhen, Ma, Juntao, Chen, Hui, Wang, Yang, Hu, Bo, Li, Wei, Jiang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283208/
https://www.ncbi.nlm.nih.gov/pubmed/30508913
http://dx.doi.org/10.1097/MD.0000000000013262
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author Deng, Guijuan
Yin, Lu
Liu, Weida
Liu, Xiaoyun
Xiang, Quanyong
Qian, Zhenzhen
Ma, Juntao
Chen, Hui
Wang, Yang
Hu, Bo
Li, Wei
Jiang, Yu
author_facet Deng, Guijuan
Yin, Lu
Liu, Weida
Liu, Xiaoyun
Xiang, Quanyong
Qian, Zhenzhen
Ma, Juntao
Chen, Hui
Wang, Yang
Hu, Bo
Li, Wei
Jiang, Yu
author_sort Deng, Guijuan
collection PubMed
description BACKGROUND AND OBJECTIVE: The association between hypertension and obesity has been confirmed, while no agreement has been reached about which anthropometric adiposity index is the best. This meta-analysis aimed to perform a systematic review and meta-analysis on the associations of hypertension risk with body mass index (BMI), waist circumstance (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), and a prospective urban and rural epidemiology study from China (PURE-China) was added into this meta-analysis as an individual study. METHODS: Systematic literature searching was conducted to identify relevant articles published up to September 2018 in CNKI, WANFANG Data, Web of Science, SinoMed, PubMed, MEDLINE, EMBASE, Cochrane Library and cross-referencing. Literature reporting the association of hypertension risk with BMI, WC, WHR, and WHtR were defined as eligible. PURE-China data were analyzed and included as 1 eligible study into meta-analyses. Summary odds ratio (OR) and area under receiver operating characteristic curve (AUC) were pooled using meta-analysis methods. Heterogeneity and publication bias were evaluated. Subgroups based on gender, country and study design were conducted as well. RESULTS: Thirty-eight original articles including PURE-China were included into meta-analyses, involving 309,585 subjects. WHtR had the strongest association with hypertension risk (OR, 1.68; 95% confidence interval, [CI]:1.29–2.19) and prediction ability (AUC, 70.9%; 95% CI: 67.8%–74.2%), which were also confirmed in subgroup analyses based on gender and country. However, BMI was found to have the highest prediction ability in adjusted models of PURE-China and followed WC, both of which were superior to WHtR (73.7% and 73.4% vs 73.2%). CONCLUSIONS: Our overall meta-analysis further confirmed WHtR as a good indicator at discriminating those individuals at increased risk of hypertension, and in some cases, it is better than BMI, WC, and WHR.
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spelling pubmed-62832082018-12-26 Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China Deng, Guijuan Yin, Lu Liu, Weida Liu, Xiaoyun Xiang, Quanyong Qian, Zhenzhen Ma, Juntao Chen, Hui Wang, Yang Hu, Bo Li, Wei Jiang, Yu Medicine (Baltimore) Research Article BACKGROUND AND OBJECTIVE: The association between hypertension and obesity has been confirmed, while no agreement has been reached about which anthropometric adiposity index is the best. This meta-analysis aimed to perform a systematic review and meta-analysis on the associations of hypertension risk with body mass index (BMI), waist circumstance (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), and a prospective urban and rural epidemiology study from China (PURE-China) was added into this meta-analysis as an individual study. METHODS: Systematic literature searching was conducted to identify relevant articles published up to September 2018 in CNKI, WANFANG Data, Web of Science, SinoMed, PubMed, MEDLINE, EMBASE, Cochrane Library and cross-referencing. Literature reporting the association of hypertension risk with BMI, WC, WHR, and WHtR were defined as eligible. PURE-China data were analyzed and included as 1 eligible study into meta-analyses. Summary odds ratio (OR) and area under receiver operating characteristic curve (AUC) were pooled using meta-analysis methods. Heterogeneity and publication bias were evaluated. Subgroups based on gender, country and study design were conducted as well. RESULTS: Thirty-eight original articles including PURE-China were included into meta-analyses, involving 309,585 subjects. WHtR had the strongest association with hypertension risk (OR, 1.68; 95% confidence interval, [CI]:1.29–2.19) and prediction ability (AUC, 70.9%; 95% CI: 67.8%–74.2%), which were also confirmed in subgroup analyses based on gender and country. However, BMI was found to have the highest prediction ability in adjusted models of PURE-China and followed WC, both of which were superior to WHtR (73.7% and 73.4% vs 73.2%). CONCLUSIONS: Our overall meta-analysis further confirmed WHtR as a good indicator at discriminating those individuals at increased risk of hypertension, and in some cases, it is better than BMI, WC, and WHR. Wolters Kluwer Health 2018-11-30 /pmc/articles/PMC6283208/ /pubmed/30508913 http://dx.doi.org/10.1097/MD.0000000000013262 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle Research Article
Deng, Guijuan
Yin, Lu
Liu, Weida
Liu, Xiaoyun
Xiang, Quanyong
Qian, Zhenzhen
Ma, Juntao
Chen, Hui
Wang, Yang
Hu, Bo
Li, Wei
Jiang, Yu
Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
title Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
title_full Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
title_fullStr Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
title_full_unstemmed Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
title_short Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
title_sort associations of anthropometric adiposity indexes with hypertension risk: a systematic review and meta-analysis including pure-china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283208/
https://www.ncbi.nlm.nih.gov/pubmed/30508913
http://dx.doi.org/10.1097/MD.0000000000013262
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