Evidence map›Paper›PMID 40382539›Full record

ArticleBMC public health2025

Evaluating the potential of waist-to-BMI ratio, a body shape index, and other anthropometric parameters in predicting cardiovascular disease mortality: evidence from NHANES III.

Thung-Lip Lee, Fang-Ju Lin, Chih-Fan Yeh, Yu-Chung Hsiao, Kai-Chien Yang, Chin-Feng Hsuan, Chau-Chung Wu

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

7 authors.

Thung-Lip LeeDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, 824005, Taiwan.
Fang-Ju LinGraduate Institute of Clinical Pharmacy & School of Pharmacy, College of Medicine, National Taiwan University, Taipei, 100233, Taiwan.
Chih-Fan YehDivision of Cardiology and Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225, Taiwan.
Yu-Chung HsiaoDivision of Cardiology and Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225, Taiwan.
Kai-Chien YangDivision of Cardiology and Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225, Taiwan.
Chin-Feng HsuanDivision of Cardiology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, 824005, Taiwan. calvin.hsuan@msa.hinet.net.
Chau-Chung WuDivision of Cardiology and Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100225, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthropometric measures can be obtained easily and quickly and have the potential for prognostic stratification in the context of cardiovascular disease (CVD). This study evaluates the prognostic value of the waist-to-BMI ratio, a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), and body mass index (BMI) for CVD mortality prediction in the general population, compared with the Framingham risk score (FRS).

methodsData of participants from the United States Third National Health and Nutrition Examination Survey (NHANES III) (1988 to 1994), aged 40-79 years with complete data were extracted and analyzed. Cox regression, receiver operating characteristic (ROC) curve analysis, and the C-index were used to determine the predictive value of the anthropometric parameters for CVD mortality, with follow-up through the end of 2019 via the National Center for Health Statistics (NCHS) Linked Mortality File.

resultsAfter applying inclusion and exclusion criteria, 6,746 individuals (mean age 57.6 years) were analyzed. Cox regression indicated significant associations between BMI, WC, waist-to-BMI ratio, BRI, ABSI, and increased CVD mortality risk (adjusted hazard ratios [aHR] = 1.11, 1.19, 1.07, 1.12, and 1.13, respectively). ROC analysis revealed that FRS had the best performance for predicting 10-year CVD mortality (AUC = 0.7252), followed by ABSI (0.6407) and waist-to-BMI ratio (0.6120). Time-dependent AUC analyses confirmed FRS had the highest C-index (0.7004), followed by ABSI (0.6358) and waist-to-BMI ratio (0.5807).

conclusionsOur study suggests that, among the anthropometric measures studied, ABSI and waist-to-BMI ratio may offer predictive capability for CVD mortality in the general US population. The simplicity of measuring and calculating the waist-to-BMI ratio enhances its practicality, making it a potentially useful tool, particularly when other clinical factors are not available. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AnthropometryBody Mass IndexCardiovascular DiseasesWaist CircumferenceAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysPredictive Value of TestsRisk AssessmentUnited StatesA body shape indexBody mass indexBody roundness indexFramingham risk score, cardiovascular disease risk, anthropometric parameterswaist-to-BMI ratio, waist-to-hip ratio

Identifiers

PMID40382539
PMCPMC12085018

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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.