Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40–74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data

IF 5 Q1 HEALTH CARE SCIENCES & SERVICES
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Abstract

Background

The relevance of anthropometric indices in predicting cardiovascular disease (CVD) or CVD risk factors is established across different countries, particularly in the high-income countries. However, past studies severely lacked representation from the south and southeast Asian countries. The main aim of this study was to determine the performance of conventional and new anthropometric indices to best predict 10-year cardiovascular disease (CVD) risk in south Asian and southeast Asian populations.

Methods

The present study examined data from 14,532 participants in three south Asian and 13,846 participants (all aged between 40 and 74 years) in six southeast Asian countries, drawn from twelve cross-sectional studies (WHO STEPwise approaches to NCD risk factor surveillance [STEPS] survey data from 2008 to 2019). A Predictive performance of ten anthropometric indices were examined for predicting 10-year CVD risk ≥ 10% (CVD-R ≥ 10%). The 10-year CVD-R ≥ 10% was calculated by utilising the WHO CVD risk non-laboratory-based charts. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal anthropometric index.

Findings

Among the ten anthropometric indices, a body shape index (ABSI), body adiposity index (BAI), body roundness index (BRI), hip index (HI), and waist-height ratio (WHtR) performed best in predicting 10-year CVD risk among south Asian males and females. Improved performances were found for ABSI, BRI, conicity index (CI), WHtR, and waist-hip ratio (WHR) for 10-year CVD-R ≥ 10% predictions among southeast Asian males. Contrastingly, among southeast Asian females, ABSI and CI demonstrated optimal performance in predicting 10-year CVD-R ≥ 10%.

Interpretation

The performance of anthropometric indices in predicting CVD risk varies across countries. ABSI, BAI, BRI, HI, and WHtR showed better predictions in south Asians, whereas ABSI, BRI, CI, WHtR, and WHR displayed enhanced predictions in southeast Asians.

Funding

None.

预测南亚和东南亚 40-74 岁男性和女性 10 年心血管风险的人体测量指数:对 12 项世界卫生组织 STEPS 调查数据的分析
背景人体测量指数在预测心血管疾病或心血管疾病风险因素方面的相关性已在不同国家得到证实,尤其是在高收入国家。然而,以往的研究严重缺乏南亚和东南亚国家的代表性。本研究的主要目的是确定传统和新型人体测量指数在预测南亚和东南亚人群10年心血管疾病(CVD)风险方面的最佳表现。方法本研究检查了三个南亚国家的14532名参与者和六个东南亚国家的13846名参与者(年龄均在40岁至74岁之间)的数据,这些数据来自12项横断面研究(2008年至2019年世界卫生组织非传染性疾病风险因素监测[STEPS]调查数据)。A 考察了十项人体测量指数对预测 10 年心血管疾病风险≥ 10%(CVD-R ≥ 10%)的预测性能。10 年心血管疾病风险≥10% 是通过世界卫生组织心血管疾病风险非实验室图表计算得出的。研究结果在 10 个人体测量指数中,体形指数 (ABSI)、体脂肪指数 (BAI)、体圆度指数 (BRI)、臀围指数 (HI) 和腰高比 (WHtR) 在预测南亚男性和女性 10 年心血管疾病风险方面表现最佳。在东南亚男性中,ABSI、BRI、圆锥形指数(CI)、腰高比(WHtR)和腰臀比(WHR)在预测10年心血管疾病风险≥10%时表现更好。相反,在东南亚女性中,ABSI 和 CI 在预测 10 年 CVD-R≥10% 时表现最佳。ABSI、BAI、BRI、HI和WHtR对南亚人的预测效果更好,而ABSI、BRI、CI、WHtR和WHR对东南亚人的预测效果更强。
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