Evidence map›Paper›PMID 42442927›Full record

ArticleBMJ mental health2026

Ability to detect depression in ethnic minority groups: a UK Biobank cohort study.

Amy Ronaldson, Mel Ramasawmy, Paramjit S Gill, Rose Rickford, Hannah Frith, Andrea Martinez, Madiha Sajid, Khaula Ali, Lydia Poole

Abstract read
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Article in BMJ mental health, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Amy RonaldsonHealth Service and Population Research Department, King's College London, London, UK amy.ronaldson@kcl.ac.uk.ORCID http://orcid.org/0000-0001-8369-9168
Mel RamasawmyWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Paramjit S GillWarwick Applied Health, University of Warwick, Coventry, UK.ORCID http://orcid.org/0000-0001-8756-6813
Rose RickfordSchool of Psychology, University of Surrey, Guildford, UK.
Hannah FrithSchool of Psychology, University of Surrey, Guildford, UK.
Andrea MartinezSchool of Psychology, University of Surrey, Guildford, UK.
Madiha SajidPPI Representative, London, UK.
Khaula AliCollege Road GP Practice, Woking, Surrey, UK.
Lydia PooleCentre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.

Funding

the National Institute of Health and Care Research NIHR: 155654
6 · The paper itself

Abstract

backgroundEvidence on ethnic differences in depression in the UK is mixed, and the suitability of current screening tools is under question.

objectiveTo examine ethnic differences in depression identification, symptom reporting and phenotypes among middle-aged and older adults in the UK.

methodsWe assessed lifetime depression in 502 140 UK Biobank participants using an established algorithm. Depression symptoms were assessed using the Composite International Diagnostic Interview-Short Form data from the 2022 mental health follow-up. Latent class analysis (LCA) identified depression phenotypes. Logistic regression models adjusted for age, sex, deprivation and physical health assessed ethnic differences in depression identification, symptom reporting and phenotype membership.

findingsOverall, 23.7% of participants met study criteria for a lifetime history of depression. Compared with White participants, depression identification was significantly lower in all ethnic minority groups except the mixed group. Black, other Asian and South Asian participants were less likely to report core depression symptoms (prolonged sadness or loss of interest). LCA produced four phenotypes: major depression, somatic depression, non-somatic depression and subthreshold depression. Black (adjusted OR (aOR) 1.70, 95% CI 1.32 to 2.20), other Asian (aOR 1.73, 95% CI 1.21 to 2.46) and South Asian (aOR 1.63, 95% CI 1.26 to 2.10) participants were more likely than White participants to belong to the somatic depression phenotype.

conclusionsLower rates of depression identification among ethnic minority groups may reflect limitations in how depression is defined, perceived and detected within these populations. CLINICAL IMPLICATIONS: Depression may present more somatically in some ethnic minority groups. Clinicians may need to adopt more culturally informed assessment approaches to ensure accurate detection and appropriate support.

Indexed as

DepressionEthnicityMinority GroupsAgedCohort StudiesFemaleHumansMaleMiddle AgedSouth Asian PeopleUK BiobankUnited KingdomWhite PeopleDepression

Identifiers

PMID42442927
PMCPMC13365754

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