Evidence map›Paper›PMID 41741675›Full record

ArticleInternational journal of obesity (2005)2026

Greater visceral fat mass accumulation with high alcohol consumption.

Joel Chesters, Matt J Neville, Fredrik Karpe

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Joel ChestersOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, UK.ORCID 0000-0003-2474-3346
Matt J NevilleOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, UK.ORCID 0000-0002-6004-5433
Fredrik KarpeOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, UK. Fredrik.Karpe@ocdem.ox.ac.uk.ORCID 0000-0002-2751-1770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular alcohol consumption is commonly perceived to contribute to abdominal adiposity, particularly visceral fat mass (VFM). Observational studies in this area have either been small or used imprecise measurement methods of VFM (e.g., waist circumference). More precise methods, such as dual-energy x-ray absorptiometry (DXA), have not been used at scale to explore the association between alcohol consumption and VFM. We investigated the relationship between alcohol consumption and VFM in a population-based cohort of n = 5 761 men and women from the Oxford Biobank who underwent a DXA-scan and provided information on regular alcohol consumption using a structured questionnaire. After adjustment for key confounders - age, smoking, height, physical activity, socio-economic status, and total fat mass (TFM) - alcohol consumption remained dose-dependently associated with VFM, in males (ß = 1.104 (1.040-1.167), p < 0.001) and females (ß = 1.102 (1.029-1.180), p = 0.006). The mean VFM percentage (%VFM) in the highest alcohol consumption quartile was over 10% greater, relative to the mean %VFM in the adjacent lower quartile, in both males (median 24 vs 12 units/week) and females (median 14 vs 7 units/week). Elevated VFM among heavier drinkers may contribute to poorer cardiovascular and metabolic health and is relevant in the search for mechanisms of regional fat repositioning.

Indexed as

Alcohol DrinkingIntra-Abdominal FatAbsorptiometry, PhotonAdiposityAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID41741675
PMCPMC13287011

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.