Evidence map›Paper›PMID 39315383›Full record

ArticleThe Lancet regional health. Southeast Asia2024

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.

Md Tauhidul Islam, Anika Tasneem Chowdhury, Md Shahjahan Siraj, Abu Yousuf Md Abdullah, Tapas Mazumder, Mercedes Trask, Mohammad Radwanur Talukder, Syed Moshfiqur Rahman

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Visceral Adiposity Is Independently Associated with Hypertension in Thai Adults: A Case-Control Study.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Md Tauhidul IslamMurdoch Business School, Murdoch University, Perth, WA, 6150, Australia.
Anika Tasneem ChowdhuryMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh.
Md Shahjahan SirajMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh.
Abu Yousuf Md AbdullahSchool of Planning, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Tapas MazumderHealth Research Institute, Faculty of Health, University of Canberra, Canberra, 2617, Australia.
Mercedes TraskGlobal Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Sweden.
Mohammad Radwanur TalukderBlood Cancer Partnership Segment, The Leukaemia Foundation, Adelaide, Australia.
Syed Moshfiqur RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Anthropometry indicesCardiovascular disease riskReceiver operating characteristic (ROC) curve analysissouth Asiasoutheast Asia

Identifiers

PMID39315383
PMCPMC11418002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.