Evidence map›Paper›PMID 39946376›Full record

ArticlePLoS medicine2025

Depression and physical multimorbidity: A cohort study of physical health condition accrual in UK Biobank.

Kelly J Fleetwood, Bruce Guthrie, Caroline A Jackson, Paul A T Kelly, Stewart W Mercer, Daniel R Morales, John D Norrie, Daniel J Smith, Cathie Sudlow, Regina Prigge

Erratum issuedAbstract read
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Intergenerational associations of depression and anxiety among adult mother-daughter dyads in China.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
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  4. Review
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  7. Multimorbidity and animal models.Animal models and experimental medicine · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kelly J FleetwoodUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-1382-3095
Bruce GuthrieAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0003-4191-4880
Caroline A JacksonUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-2067-2811
Paul A T KellyPublic Member of Study Advisory Board, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-6997-9788
Stewart W MercerUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-1703-3664
Daniel R MoralesDivision of Population Health and Genomics, University of Dundee, Dundee, United Kingdom.ORCID https://orcid.org/0000-0002-0063-8069
John D NorrieUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-9823-9252
Daniel J SmithCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-2267-1951
Cathie SudlowUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-7725-7520
Regina PriggeUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0002-0489-684X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is associated with a range of adverse physical health outcomes. We aimed to quantify the association between depression and the subsequent rate of accrual of long-term physical health conditions in middle and older age. METHODS AND

findingsWe included 172,556 participants from the UK Biobank (UKB) cohort study, aged 40-71 years old at baseline assessment (2006-2010), who had linked primary care data available. Using self-report, primary care, hospital admission, cancer registry, and death records, we ascertained 69 long-term physical health conditions at both UKB baseline assessment and during a mean follow-up of 6.9 years. We used quasi-Poisson models to estimate associations between history of depression at baseline and subsequent rate of physical condition accrual. Within our cohort, 30,770 (17.8%) had a history of depression. Compared to those without depression, participants with depression had more physical conditions at baseline (mean 2.9 [SD 2.3] versus 2.1 [SD 1.9]) and accrued additional physical conditions at a faster rate (mean 0.20 versus 0.16 additional conditions/year during follow-up). After adjustment for age and sex, participants with depression accrued physical morbidities at a faster rate than those without depression (RR 1.32, 95% confidence interval [CI] [1.31, 1.34]). After adjustment for all sociodemographic characteristics, the rate of condition accrual remained higher in those with versus without depression (RR 1.30, 95% CI [1.28, 1.32]). This association attenuated but remained statistically significant after additional adjustment for baseline condition count and social/lifestyle factors (RR 1.10, 95% CI [1.09, 1.12]). The main limitation of this study is healthy volunteer selection bias, which may limit generalisability of findings to the wider population.

conclusionsMiddle-aged and older adults with a history of depression have more long-term physical health conditions at baseline and accrue additional physical conditions at a faster rate than those without a history of depression. Our findings highlight the importance of integrated approaches to managing both mental and physical health outcomes.

Indexed as

DepressionHealth StatusMultimorbidityAdultAgedBiological Specimen BanksCohort StudiesFemaleHumansMaleMiddle AgedUK BiobankUnited Kingdom

Identifiers

PMID39946376
PMCPMC11825000

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.