Evidence map›Paper›PMID 42021596›Full record

ArticleBrain and behavior2026

Association Between Visceral Adipose Tissue and Depression Risk With Both Observational and Genetic Evidence.

Linxiao Gao, Haoyu Fang, Yanhe Liu, Wen Luo, Lingxiang Xu

Abstract read
In one paragraph

Article in Brain and behavior, 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

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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

5 authors.

Linxiao GaoDivision of Liver Surgery, Department of General Surgery West China Hospital of Sichuan University, Chengdu, China.
Haoyu FangDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yanhe LiuDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wen LuoDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lingxiang XuDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0009-0002-8045-0636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have demonstrated a link between visceral obesity and depression. Nevertheless, there is a lack of sufficient studies examining the relationship between visceral adipose tissue volume (VATV) and depression, particularly concerning the combined influence of physical activity on this connection.

methodsThe study analyzed data from the National Health and Nutrition Examination Survey cycles spanning 2011-2018. A total of 7460 individuals aged between 20 and 59 years were included. VATV was evaluated using either dual-energy x-ray absorptiometry or magnetic resonance imaging. Multivariate logistic regression models were applied to investigate the relationship between VATV and depression. Mendelian randomization analysis was carried out to examine potential causal relationships.

resultsIn the fully adjusted multivariate logistic regression model, a significant positive association was found between VATV and depression (OR, 1.04; 95% CI, 1.01-1.07). Lower VATV levels combined with effective physical activity significantly reduced depression prevalence. Mendelian randomization analysis identified a causal relationship between VATV and depression.

conclusionsOur study highlights a positive association between visceral fat and depression. Furthermore, participants who regularly engage in physical activity and have low VATV levels are more strongly associated with a reduced prevalence of depression. Importantly, the causal association between them was confirmed. These findings underscore the potential of managing visceral fat to prevent depression.

Indexed as

DepressionExerciseIntra-Abdominal FatAbsorptiometry, PhotonAdultFemaleHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedNutrition SurveysYoung Adultdepressionjoint associationphysical activityvisceral adipose tissue

Identifiers

PMID42021596
PMCPMC13103535

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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.