Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China
| Autor: | Lu Yin, Guijuan Deng, Xiaoyun Liu, Wei Li, Yu Jiang, China Investigator team, Weida Liu, Bo Hu, Juntao Ma, Hui Chen, Yang Wang, Zhenzhen Qian, Quanyong Xiang |
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| Rok vydání: | 2018 |
| Předmět: |
Risk
hypertension MEDLINE body mass index waist-to-hip ratio 030204 cardiovascular system & hematology waist-to-height ratio Hypertension risk 03 medical and health sciences 0302 clinical medicine systematic review Environmental health medicine Humans 030212 general & internal medicine Hypertension diagnosis waist circumstance Adiposity business.industry General Medicine Anthropometry medicine.disease Obesity meta-analysis Meta-analysis business Systematic Review and Meta-Analysis Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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