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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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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. |
format | Online Article Text |
id | pubmed-6283208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
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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