Evidence map›Paper›PMID 42877703›Full record

ArticleBMJ public health2026

How do immigration background, racism, socioeconomic circumstances and gender intersect to influence adolescent mental well-being? A longitudinal MAIHDA analysis of the multiethnic DASH cohort in London, UK.

Alexis Karamanos, Divya Parmar, Jamie Murdoch, Paola Dazzan, Chiara Nosarti, Salma Ayis, Mariam Molokhia, Seeromanie Harding

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Article in BMJ public 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

What it found

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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

8 authors.

Alexis KaramanosPopulation Health Sciences, King's College London School of Population Health and Environmental Sciences, London, UK.ORCID https://orcid.org/0000-0002-9423-980X
Divya ParmarPopulation Health Sciences, King's College London School of Population Health and Environmental Sciences, London, UK.
Jamie MurdochPopulation Health Sciences, King's College London School of Population Health and Environmental Sciences, London, UK.
Paola DazzanKing's College London Institute of Psychiatry Psychology & Neuroscience, London, UK.
Chiara NosartiKing's College London Institute of Psychiatry Psychology & Neuroscience, London, UK.
Salma AyisPopulation Health Sciences, King's College London School of Population Health and Environmental Sciences, London, UK.
Mariam MolokhiaPopulation Health Sciences, King's College London School of Population Health and Environmental Sciences, London, UK.
Seeromanie HardingPopulation Health Sciences, King's College London School of Population Health and Environmental Sciences, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: Despite increasing awareness of ethnic inequalities in mental health, UK-based research on the mental health experiences of adolescent migrants remains limited. This gap is particularly notable given the backdrop of rising legal migration and increasingly politicised public narratives surrounding immigration. Drawing on intersectionality theory, this study examines adolescent mental well-being at the intersections of immigration background, racism, socioeconomic disadvantage and gender. Methods: The British Determinants of Adolescent Social Well-being and Health longitudinal study followed up an ethnically diverse sample of 11-13-year-olds in London, UK, between 2002-2003 and 2005-2006. Using Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy, we assessed the interplay between immigration background, racism, socioeconomic circumstances and gender using information on 4775 participants. Results: Notable intersectional inequalities involving immigration background, racism, socioeconomic disadvantage and gender were evident, regardless of age and ethnicity. These included UK-born males who reported racism and were least disadvantaged had higher predicted conduct symptom scores than foreign-born males who reported racism and were most disadvantaged. The lowest predicted conduct scores were among foreign-born females who did not report racism and were least disadvantaged (b=1.97, 95% CI 1.85 to 2.08). For hyperactivity, UK-born females who reported racism and were more disadvantaged had significantly higher scores than foreign-born males who did report racism and were more disadvantaged. The lowest hyperactivity scores were among foreign-born males who had not reported racism and were least disadvantaged (b=3.11, 95% CI 2.98 to 3.23). For internalising symptoms, foreign-born males who reported racism and were least disadvantaged had the highest peer relationship scores (b=2.46, 95% CI 2.35 to 2.58). Across all strata, females who reported racism had higher emotional symptom scores than those who did not, regardless of immigration status or socioeconomic circumstances. Conclusions: To fully understand inequalities in migrant adolescent mental well-being, the interplay between racism, socioeconomic disadvantage and gender must be explored.

Indexed as

AdolescentCommunity HealthEpidemiologic MethodsEpidemiologyMental Health

Identifiers

PMID42877703
PMCPMC13663703

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