Deng Guijuan, Yin Lu, Liu Weida, Liu Xiaoyun, Xiang Quanyong, Qian Zhenzhen, Ma Juntao, Chen Hui, Wang Yang, Hu Bo, Li Wei, Jiang Yu
State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases.
School of Public Health, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing.
Medicine (Baltimore). 2018 Nov;97(48):e13262. doi: 10.1097/MD.0000000000013262.
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.
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.
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%).
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.
高血压与肥胖之间的关联已得到证实,但对于哪种人体测量肥胖指数最佳尚未达成共识。本荟萃分析旨在对高血压风险与体重指数(BMI)、腰围(WC)、腰臀比(WHR)和腰高比(WHtR)之间的关联进行系统评价和荟萃分析,并将一项来自中国的城乡前瞻性流行病学研究(PURE-中国)作为个体研究纳入该荟萃分析。
进行系统的文献检索,以识别截至2018年9月在知网、万方数据、Web of Science、中国生物医学文献数据库、PubMed、MEDLINE、EMBASE、Cochrane图书馆以及交叉引用中发表的相关文章。将报告高血压风险与BMI、WC、WHR和WHtR关联的文献定义为合格文献。对PURE-中国的数据进行分析,并将其作为1项合格研究纳入荟萃分析。使用荟萃分析方法汇总总结优势比(OR)和受试者工作特征曲线下面积(AUC)。评估异质性和发表偏倚。还进行了基于性别、国家和研究设计的亚组分析。
包括PURE-中国在内的38篇原始文章被纳入荟萃分析,涉及309,585名受试者。WHtR与高血压风险的关联最强(OR,1.68;95%置信区间,[CI]:1.29 - 2.19)且预测能力最强(AUC,70.9%;95%CI:67.8% - 74.2%),这在基于性别和国家的亚组分析中也得到了证实。然而,在PURE-中国的校正模型中发现BMI具有最高的预测能力,其次是WC,两者均优于WHtR(73.7%和73.4%对73.2%)。
我们的总体荟萃分析进一步证实WHtR是区分高血压风险增加个体的良好指标,并且在某些情况下,它优于BMI、WC和WHR。