Evidence map›Paper›PMID 41332804›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Comparing Traditional and Newer Definitions of Obesity in Relation to Incident Cardiovascular Disease and Obesity-Related Cancer Risk: A Prospective Cohort Study in ARIC.

Omar M Makram, Viraj Shah, Tarek Nahle, Xiaoling Wang, Ryan A Harris, Steven S Coughlin, Neal L Weintraub, Corinne E Joshu, Elizabeth A Platz, Avirup Guha

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Omar M MakramCardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA, USA.ORCID 0000-0001-8361-9068
Viraj ShahCardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA, USA.ORCID 0009-0003-5850-9862
Tarek NahleCardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Xiaoling WangGeorgia Prevention Institute, Augusta University, Augusta, GA, USA.ORCID 0000-0001-9290-7926
Ryan A HarrisGeorgia Prevention Institute, Augusta University, Augusta, GA, USA.ORCID 0000-0002-8826-681X
Steven S CoughlinDepartment of Biostatistics, Data Science and Epidemiology, School of Public Health, Augusta University, Augusta, GA, USA.ORCID 0000-0003-1704-0466
Neal L WeintraubDivision of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.ORCID 0000-0002-5138-3705
Corinne E JoshuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA.ORCID 0000-0002-5100-172X
Elizabeth A PlatzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA.ORCID 0000-0003-3676-8954
Avirup GuhaCardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA, USA.ORCID 0000-0003-0253-1174

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ARGANI, PEDRAM · 2022 to 2025
$4.7M
Enhancing ARIC Infrastructure to Yield a New Cancer Epidemiology CohortU01CA164975 · NCI · JOHNS HOPKINS UNIVERSITY · PI PLATZ, ELIZABETH A. · 2012 to 2018
$3.8M
NCI NIH HHS U01 CA164975NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005
6 · The paper itself

Abstract

Background: Obesity is a risk factor for both cardiovascular disease (CVD) and cancer. The traditional body mass index (BMI)-based obesity definition (BMI ≥30 kg/m Methods: We analyzed 14,834 Atherosclerosis Risk in Communities (ARIC) study participants followed for a median of 25 years. Participants were classified as obese using the traditional definition (BMI ≥30 kg/m Results: 54% and 27% were classified as obese, respectively, according to the new-only (median BMI 26 kg/m Conclusion: Both obesity definitions identified increased CVD risk, with significant trends across groups. Only traditionally-defined obesity consistently showed increased risk for total and obesity-related cancers. The newer, more sensitive, definition identified a large cohort with intermediate CVD risk, not previously captured by BMI alone, highlighting a distinct risk profile, suggesting potential for targeted interventions. These findings warrant careful consideration of potentially inflated risk in patients defined as obese by the new criteria. Funding: NHLBI, NCI, NPCR, AHA.

Indexed as

ARICCancerCVDEpidemiologyObesityRisk

Identifiers

PMID41332804
PMCPMC12668093

What OpenQuestion holds

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Registered trials

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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.