Evidence map›Paper›PMID 37684330›Full record

ArticleInternational journal of obesity (2005)2023

Relative fat mass and prediction of incident atrial fibrillation, heart failure and coronary artery disease in the general population.

Victor W Zwartkruis, Navin Suthahar, Demy L Idema, Belend Mahmoud, Colinda van Deutekom, Frans H Rutten, Yvonne T van der Schouw, Michiel Rienstra, Rudolf A de Boer

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In one paragraph

Article in International journal of obesity (2005), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
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

27 citing papers in PubMed, 31 citations in OpenAlex.

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  18. Relative Fat Mass and Psoriasis Risk: Evidence from NHANES 2009-2014.Journal of multidisciplinary healthcare · 2025
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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

9 authors at 3 institutions in 1 country.

Victor W ZwartkruisDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0003-0115-1313
Navin SuthaharDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Demy L IdemaCochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Belend MahmoudDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0002-5703-248X
Colinda van DeutekomDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0001-5116-7378
Frans H RuttenDepartment of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Yvonne T van der SchouwDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-4605-435X
Michiel RienstraDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Rudolf A de BoerDepartment of Cardiology, Thorax Center, Erasmus University Medical Center, Rotterdam, the Netherlands. r.a.deboer@erasmusmc.nl.ORCID 0000-0002-4775-9140
University Medical Center Groningen · NLUtrecht University · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelative fat mass (RFM) is an emerging marker of obesity that estimates body fat percentage using a sex-specific formula containing height and waist circumference (WC). We studied the association of RFM with incident atrial fibrillation (AF), heart failure (HF), and coronary artery disease (CAD) and explored RFM cutoffs for cardiovascular disease (CVD) prediction.

methodsWe studied 95,003 participants (age 45 ± 13 years, 59% women) without prevalent AF, HF or CAD from the population-based Lifelines study. Outcomes were ascertained using electrocardiography and self-reported questionnaire data. We used logistic regression to study the association of RFM with individual outcomes and a composite outcome (incident AF, HF, and/or CAD). Multivariable models were adjusted for components of the SCORE risk model (age, sex, systolic blood pressure, cholesterol, and smoking). Optimal cutoffs were determined using the Youden index.

resultsDuring a median follow-up of 3.8 (3.0-4.6) years, 224 (0.2%) participants developed AF, 1003 (1.1%) HF and 657 (0.7%) CAD. After multivariable adjustment, RFM was significantly associated with all outcomes (standardised OR 1.26, 95% CI 1.18-1.34 for the composite outcome). Optimal RFM cutoffs ( ≥26 for men, ≥38 for women) were lower than previously proposed RFM cutoffs ( ≥30 for men, ≥40 for women). In general, overall discriminative ability of RFM and its cutoffs was at least similar (in women) or better (in men) compared to BMI and WC. Since RFM was substantially correlated with age, we additionally determined age-specific cutoffs, which ranged from 23 to 27 in men and 33 to 43 in women.

conclusionsRFM is associated with incident AF, HF, and CAD and may be used as a simple and intuitive marker of obesity and cardiovascular risk in the general population. This study provides potential RFM cutoffs for CVD prediction that may be used by future studies or preventive strategies targeting obesity and cardiovascular risk.

Indexed as

Atrial FibrillationCoronary Artery DiseaseHeart FailureAdultBody Mass IndexFemaleHumansMaleMiddle AgedObesityRisk Factors

Identifiers

PMID37684330
OpenAlexW4386564620

What OpenQuestion holds

Textmetadata
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.