Evidence map›Paper›PMID 41550965›Full record

ArticleComprehensive psychoneuroendocrinology2026

Exploring the mediating roles of diet and physical activity in the association between different obesity phenotypes and risk of depression: A cox survival analysis approach.

Yang Liu, Yue Zheng, Mingfang Wang, Juan Liao, Lu Long

Abstract read
In one paragraph

Article in Comprehensive psychoneuroendocrinology, 2026. 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

5 authors.

Yang LiuDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Yue ZhengDepartment of Gastroenterology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Mingfang WangDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Juan LiaoDepartment of Gastroenterology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Lu LongDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although obesity has been linked to an increased risk of depression, the risk associated with different obesity phenotypes remain unclear, as does the role of lifestyle behaviors. Participants from the UK Biobank who were free of depression at the baseline and had complete data on body composition and metabolism-related measures were selected and followed up. Multivariable Cox models were employed to assess the risk of developing depression according to obesity phenotypes. Mediation analyses were conducted to evaluate the potential mediating effects of diet and physical activity in this association. Among 391,781 participants, a total of 20,027 incident depression was recorded after a median follow-up period of 13.39 years. Our study revealed that different obesity phenotypes increased the risk of depression to varying degrees. Compared with healthy non-obese individuals, those with BMI ≥30 kg/m

Indexed as

DepressionDietMediation effectObesity phenotypesPhysical activity

Identifiers

PMID41550965
PMCPMC12808564

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.