Evidence map›Paper›PMID 42784581›Full record

ArticlePloS one2026

Prognostic associations of anthropometric indices with major health outcomes: A nationwide cohort study of 1.1 million adults.

Se-Jun Jeon, Sun-Hwa Kim, Si-Hyuck Kang, Tae-Jin Youn, In-Ho Chae

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Se-Jun JeonCardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.ORCID https://orcid.org/0009-0005-5282-6589
Sun-Hwa KimCardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.
Si-Hyuck KangCardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.ORCID https://orcid.org/0000-0003-4755-6367
Tae-Jin YounCardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.
In-Ho ChaeCardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.ORCID https://orcid.org/0000-0003-1644-2105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe global escalation of obesity necessitates precise tools for assessing diverse health risks. This study aimed to compare the prognostic associations of body mass index (BMI), waist circumference (WC), and the body roundness index (BRI) across multiple cardiovascular and mortality outcomes in a large cohort of Korean adults using a nationwide database.

methodsThis retrospective cohort study analyzed 1,199,633 Korean adults (aged ≥55 years) from the National Health Insurance Service database. Prognostic association for atherosclerotic cardiovascular disease (ASCVD), all-cause mortality, and atrial fibrillation (AF) over a 10-year follow-up was assessed using receiver operating characteristic (ROC) analysis and multivariable Cox proportional hazards models.

resultsNo single index consistently outperformed the others; rather, association was outcome-specific. BRI demonstrated the highest discrimination for ASCVD (AUC: 0.553) compared to WC (0.540) and BMI (0.512; P < 0.05 for all). Conversely, BMI showed the highest AUC for all-cause mortality (0.595), largely due to a significant inverse relationship in the underweight category. For incident AF, WC showed the highest AUC (0.567), followed by BRI (0.550) and BMI (0.527). Restricted cubic spline analyses revealed non-linear (U-shaped or J-shaped) relationships for most outcomes.

conclusionsThese findings indicate that each anthropometric index captures distinct biological aspects of adiposity, highlighting the need to consider the specific clinical outcome when interpreting obesity-related risk.

Indexed as

AnthropometryAtherosclerosisAtrial FibrillationCardiovascular DiseasesObesityAgedBody Mass IndexCohort StudiesFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRepublic of KoreaRetrospective Studies

Identifiers

PMID42784581
PMCPMC13606998

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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.