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人体测量指数对成年人心血管疾病的判别能力:系统评价和荟萃分析。

Discriminatory Capacity of Anthropometric Indices for Cardiovascular Disease in Adults: A Systematic Review and Meta-Analysis.

机构信息

Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Nutrition and Dietetics Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.

出版信息

Prev Chronic Dis. 2020 Oct 22;17:E131. doi: 10.5888/pcd17.200112.

Abstract

INTRODUCTION

Obesity is one of the main risk factors for cardiovascular disease (CVD) and cardiometabolic disease (CMD). Many studies have developed cutoff points of anthropometric indices for predicting these diseases. The aim of this systematic review was to differentiate the screening potential of body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) for adult CVD risk.

METHODS

We used relevant key words to search electronic databases to identify studies published up to 2019 that used receiver operating characteristic (ROC) curves for assessing the cut-off points of anthropometric indices. We used a random-effects model to pool study results and assessed between-study heterogeneity by using the I statistic and Cochran's Q test.

RESULTS

This meta-analysis included 38 cross-sectional and 2 cohort studies with 105 to 137,256 participants aged 18 or older. The pooled area under the ROC curve (AUC) value for BMI was 0.66 (95% CI, 0.63-0.69) in both men and women. The pooled AUC values for WC were 0.69 (95% CI, 0.67-0.70) in men and 0.69 (95% CI, 0.64-0.74) in women, and the pooled AUC values for WHR were 0.69 (95% CI, 0.66-0.73) in men and 0.71 (95% CI, 0.68-0.73) in women.

CONCLUSION

Our findings indicated a slight difference between AUC values of these anthropometric indices. However, indices of abdominal obesity, especially WHR, can better predict CVD occurrence.

摘要

简介

肥胖是心血管疾病(CVD)和心脏代谢疾病(CMD)的主要危险因素之一。许多研究已经制定了用于预测这些疾病的人体测量学指标的截止值。本系统综述的目的是区分体重指数(BMI)、腰围(WC)和腰臀比(WHR)对成人 CVD 风险的筛查潜力。

方法

我们使用相关的关键词搜索电子数据库,以确定截至 2019 年发表的使用接受者操作特征(ROC)曲线评估人体测量学指标截止值的研究。我们使用随机效应模型汇总研究结果,并使用 I 统计量和 Cochran's Q 检验评估研究间的异质性。

结果

这项荟萃分析包括 38 项横断面研究和 2 项队列研究,共有 105 至 137256 名年龄在 18 岁或以上的参与者。BMI 的 ROC 曲线下面积(AUC)的合并值在男性和女性中均为 0.66(95%CI,0.63-0.69)。WC 的合并 AUC 值在男性中为 0.69(95%CI,0.67-0.70),在女性中为 0.69(95%CI,0.64-0.74),WHR 的合并 AUC 值在男性中为 0.69(95%CI,0.66-0.73),在女性中为 0.71(95%CI,0.68-0.73)。

结论

我们的研究结果表明这些人体测量学指标的 AUC 值之间存在微小差异。然而,腹部肥胖的指标,尤其是 WHR,可以更好地预测 CVD 的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0eb/7587303/a8fa6a8b4519/PCD-17-E131s01.jpg

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