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Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study

PURPOSE: The relationship between ethnicity and adolescent mental health was investigated using cross-sectional data from the nationally representative UK Millennium Cohort Study. METHODS: Parental Strengths and Difficulties Questionnaire reports identified mental health problems in 10,357 young peo...

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Autores principales: Ahmad, Gargie, McManus, Sally, Bécares, Laia, Hatch, Stephani L., Das-Munshi, Jayati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541880/
https://www.ncbi.nlm.nih.gov/pubmed/34689228
http://dx.doi.org/10.1007/s00127-021-02167-w
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author Ahmad, Gargie
McManus, Sally
Bécares, Laia
Hatch, Stephani L.
Das-Munshi, Jayati
author_facet Ahmad, Gargie
McManus, Sally
Bécares, Laia
Hatch, Stephani L.
Das-Munshi, Jayati
author_sort Ahmad, Gargie
collection PubMed
description PURPOSE: The relationship between ethnicity and adolescent mental health was investigated using cross-sectional data from the nationally representative UK Millennium Cohort Study. METHODS: Parental Strengths and Difficulties Questionnaire reports identified mental health problems in 10,357 young people aged 14 (n = 2042 from ethnic minority backgrounds: Mixed n = 492, Indian n = 275, Pakistani n = 496, Bangladeshi n = 221, Black Caribbean n = 102, Black African n = 187, Other Ethnic Group n = 269). Univariable logistic regression models investigated associations between each factor and outcome; a bivariable model investigated whether household income explained differences by ethnicity, and a multivariable model additionally adjusted for factors of social support (self-assessed support, parental relationship), participation (socialising, organised activities, religious attendance), and adversity (bullying, victimisation, substance use). Results were stratified by sex as evidence of a sex/ethnicity interaction was found (P = 0.0002). RESULTS: There were lower unadjusted odds for mental health problems in boys from Black African (OR 0.15, 95% CI 0.04–0.61) and Indian backgrounds (OR 0.42, 95% CI 0.21–0.86) compared to White peers. After adjustment for income, odds were lower in boys from Black African (OR 0.10, 95% CI 0.02–0.38), Indian (OR 0.40, 95% CI 0.21–0.77), and Pakistani (OR 0.49, 95% CI 0.27–0.89) backgrounds, and girls from Bangladeshi (OR 0.18, 95% CI 0.05–0.65) and Pakistani (OR 0.63, 95% CI 0.41–0.99) backgrounds. After further adjustment for social support, participation, and adversity factors, only boys from a Black African background had lower odds (OR 0.16, 95% CI 0.03–0.71) of mental health problems. CONCLUSIONS: Household income confounded lower prevalence of mental health problems in some young people from Pakistani and Bangladeshi backgrounds; findings suggest ethnic differences are partly but not fully accounted for by income, social support, participation, and adversity. Addressing income inequalities and socially focused interventions may protect against mental health problems irrespective of ethnicity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00127-021-02167-w.
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spelling pubmed-85418802021-10-25 Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study Ahmad, Gargie McManus, Sally Bécares, Laia Hatch, Stephani L. Das-Munshi, Jayati Soc Psychiatry Psychiatr Epidemiol Original Paper PURPOSE: The relationship between ethnicity and adolescent mental health was investigated using cross-sectional data from the nationally representative UK Millennium Cohort Study. METHODS: Parental Strengths and Difficulties Questionnaire reports identified mental health problems in 10,357 young people aged 14 (n = 2042 from ethnic minority backgrounds: Mixed n = 492, Indian n = 275, Pakistani n = 496, Bangladeshi n = 221, Black Caribbean n = 102, Black African n = 187, Other Ethnic Group n = 269). Univariable logistic regression models investigated associations between each factor and outcome; a bivariable model investigated whether household income explained differences by ethnicity, and a multivariable model additionally adjusted for factors of social support (self-assessed support, parental relationship), participation (socialising, organised activities, religious attendance), and adversity (bullying, victimisation, substance use). Results were stratified by sex as evidence of a sex/ethnicity interaction was found (P = 0.0002). RESULTS: There were lower unadjusted odds for mental health problems in boys from Black African (OR 0.15, 95% CI 0.04–0.61) and Indian backgrounds (OR 0.42, 95% CI 0.21–0.86) compared to White peers. After adjustment for income, odds were lower in boys from Black African (OR 0.10, 95% CI 0.02–0.38), Indian (OR 0.40, 95% CI 0.21–0.77), and Pakistani (OR 0.49, 95% CI 0.27–0.89) backgrounds, and girls from Bangladeshi (OR 0.18, 95% CI 0.05–0.65) and Pakistani (OR 0.63, 95% CI 0.41–0.99) backgrounds. After further adjustment for social support, participation, and adversity factors, only boys from a Black African background had lower odds (OR 0.16, 95% CI 0.03–0.71) of mental health problems. CONCLUSIONS: Household income confounded lower prevalence of mental health problems in some young people from Pakistani and Bangladeshi backgrounds; findings suggest ethnic differences are partly but not fully accounted for by income, social support, participation, and adversity. Addressing income inequalities and socially focused interventions may protect against mental health problems irrespective of ethnicity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00127-021-02167-w. Springer Berlin Heidelberg 2021-10-24 2022 /pmc/articles/PMC8541880/ /pubmed/34689228 http://dx.doi.org/10.1007/s00127-021-02167-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Ahmad, Gargie
McManus, Sally
Bécares, Laia
Hatch, Stephani L.
Das-Munshi, Jayati
Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study
title Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study
title_full Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study
title_fullStr Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study
title_full_unstemmed Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study
title_short Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study
title_sort explaining ethnic variations in adolescent mental health: a secondary analysis of the millennium cohort study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541880/
https://www.ncbi.nlm.nih.gov/pubmed/34689228
http://dx.doi.org/10.1007/s00127-021-02167-w
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