Evidence map›Paper›PMID 40401210›Full record

ArticleARYA atherosclerosis2025

Comparing the power of obesity indices to predict cardiovascular diseases at different ages: An application of conditional time-dependent ROC curve in Healthy Heart Cohort of Yazd, Iran.

Mohammad Hashem Khademi Kolah Loui, Sara Jambarsang, Seyedeh Mahideh Namayandeh, Seyyed Mohammad Tabatabaei, Abdollah Hozhabrnia, Reyhane Sefidkar

Abstract read
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Article in ARYA atherosclerosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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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

6 authors.

Mohammad Hashem Khademi Kolah LouiCenter for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Sara JambarsangCenter for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyedeh Mahideh NamayandehCenter for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyyed Mohammad TabatabaeiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Abdollah HozhabrniaDepartment of Mathematics and Statistics, University of Calgary, Calgary, Alberta T2N 1N4, Canada.
Reyhane SefidkarCenter for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to estimate the power of anthropometric markers to predict 10-year CVD across different age groups in the Yazd Healthy Heart cohort.

methodsA total of 1,623 individuals aged 20 to 74, who were free of CVD, participated in the study. A conditional time-dependent receiver operating characteristic (ROC) curve was used to estimate the predictive power of anthropometric indices, including the Abdominal Volume Index (AVI), Body Adiposity Index (BAI), and Waist-to-Height Ratio (WHtR), adjusted for age and sex.

resultsOf the 1,623 participants, 818 were males (50.40%) and 805 were females (49.60%). The Area Under the Curve (AUC) for the BAI ranged from 0.50 to 0.70 for males aged 40 to 70 years. In females, the BAI biomarker demonstrated considerable to excellent predictive power (AUC > 0.8) for individuals aged 20 to approximately 33 years. For males, AVI and WHtR showed fair to considerable predictive power in participants aged 20 to 30 years. In the age group of 30 to approximately 68 years, the predictive power varied from poor to ineffective, except for individuals close to 50 years old. In females, the predictive power of the AVI and WHtR biomarkers ranged from fair to considerable for those aged 20 to around 33 years.

conclusionThis study found that AVI and WHtR can fairly predict 10-year CVD risk in young individuals of both sexes, while the BAI was specifically applicable for predicting risk in young women. These markers are valuable and affordable tools for youth CVD screening.

Indexed as

AnthropometryCardiovascular DiseasesHealthy Heart CohortROC CurveTime-Dependent ROC

Identifiers

PMID40401210
PMCPMC12091250

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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.