Your browser doesn't support javascript.
loading
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.
Islam, Md Tauhidul; Chowdhury, Anika Tasneem; Siraj, Md Shahjahan; Md Abdullah, Abu Yousuf; Mazumder, Tapas; Trask, Mercedes; Talukder, Mohammad Radwanur; Rahman, Syed Moshfiqur.
Affiliation
  • Islam MT; Murdoch Business School, Murdoch University, Perth, WA, 6150, Australia.
  • Chowdhury AT; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh.
  • Siraj MS; Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh.
  • Md Abdullah AY; School of Planning, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
  • Mazumder T; Health Research Institute, Faculty of Health, University of Canberra, Canberra, 2617, Australia.
  • Trask M; Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Sweden.
  • Talukder MR; Blood Cancer Partnership Segment, The Leukaemia Foundation, Adelaide, Australia.
  • Rahman SM; Baker Heart and Diabetes Institute, Melbourne, 3004, Australia.
Lancet Reg Health Southeast Asia ; 29: 100481, 2024 Oct.
Article in En | MEDLINE | ID: mdl-39315383
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Lancet Reg Health Southeast Asia Year: 2024 Document type: Article Affiliation country: Australia Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Lancet Reg Health Southeast Asia Year: 2024 Document type: Article Affiliation country: Australia Country of publication: United kingdom