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Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality
BACKGROUND: Youth adversity (e.g., abuse and bullying victimisation) is robust risk factor for later mental health problems (e.g., depression and anxiety). Research shows the prevalence of youth adversity and rates of mental health problems vary by individual characteristics, identity or social grou...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470884/ https://www.ncbi.nlm.nih.gov/pubmed/37651364 http://dx.doi.org/10.1371/journal.pone.0289438 |
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author | Hosang, Georgina Mayling Havers, Laura Shuai, Ruichong Fonagy, Peter Fazel, Mina Morgan, Craig Karamanos, Alexis Fancourt, Daisy McCrone, Paul Smuk, Melanie Bhui, Kamaldeep Shakoor, Sania |
author_facet | Hosang, Georgina Mayling Havers, Laura Shuai, Ruichong Fonagy, Peter Fazel, Mina Morgan, Craig Karamanos, Alexis Fancourt, Daisy McCrone, Paul Smuk, Melanie Bhui, Kamaldeep Shakoor, Sania |
author_sort | Hosang, Georgina Mayling |
collection | PubMed |
description | BACKGROUND: Youth adversity (e.g., abuse and bullying victimisation) is robust risk factor for later mental health problems (e.g., depression and anxiety). Research shows the prevalence of youth adversity and rates of mental health problems vary by individual characteristics, identity or social groups (e.g., gender and ethnicity). However, little is known about whether the impact of youth adversity on mental health problems differ across the intersections of these characteristics (e.g., white females). This paper reports on a component of the ATTUNE research programme (work package 2) which aims to investigate the impact and mechanisms of youth adversity on depressive and anxiety symptoms in young people by intersectionality profiles. METHODS: The data are from 4 UK adolescent cohorts: HeadStart Cornwall, Oxwell, REACH, and DASH. These cohorts were assembled for adolescents living in distinct geographical locations representing coastal, suburban and urban places in the UK. Youth adversity was assessed using a series of self-report questionnaires and official records. Validated self-report instruments measured depressive and anxiety symptoms. A range of different variables were classified as possible social and cognitive mechanisms. RESULTS AND ANALYSIS: Structural equation modelling (e.g., multiple group models, latent growth models) and multilevel modelling will be used, with adaptation of methods to suit the specific available data, in accord with statistical and epidemiological conventions. DISCUSSION: The results from this research programme will broaden our understanding of the association between youth adversity and mental health, including new information about intersectionality and related mechanisms in young people in the UK. The findings will inform future research, clinical guidance, and policy to protect and promote the mental health of those most vulnerable to the negative consequences of youth adversity. |
format | Online Article Text |
id | pubmed-10470884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104708842023-09-01 Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality Hosang, Georgina Mayling Havers, Laura Shuai, Ruichong Fonagy, Peter Fazel, Mina Morgan, Craig Karamanos, Alexis Fancourt, Daisy McCrone, Paul Smuk, Melanie Bhui, Kamaldeep Shakoor, Sania PLoS One Study Protocol BACKGROUND: Youth adversity (e.g., abuse and bullying victimisation) is robust risk factor for later mental health problems (e.g., depression and anxiety). Research shows the prevalence of youth adversity and rates of mental health problems vary by individual characteristics, identity or social groups (e.g., gender and ethnicity). However, little is known about whether the impact of youth adversity on mental health problems differ across the intersections of these characteristics (e.g., white females). This paper reports on a component of the ATTUNE research programme (work package 2) which aims to investigate the impact and mechanisms of youth adversity on depressive and anxiety symptoms in young people by intersectionality profiles. METHODS: The data are from 4 UK adolescent cohorts: HeadStart Cornwall, Oxwell, REACH, and DASH. These cohorts were assembled for adolescents living in distinct geographical locations representing coastal, suburban and urban places in the UK. Youth adversity was assessed using a series of self-report questionnaires and official records. Validated self-report instruments measured depressive and anxiety symptoms. A range of different variables were classified as possible social and cognitive mechanisms. RESULTS AND ANALYSIS: Structural equation modelling (e.g., multiple group models, latent growth models) and multilevel modelling will be used, with adaptation of methods to suit the specific available data, in accord with statistical and epidemiological conventions. DISCUSSION: The results from this research programme will broaden our understanding of the association between youth adversity and mental health, including new information about intersectionality and related mechanisms in young people in the UK. The findings will inform future research, clinical guidance, and policy to protect and promote the mental health of those most vulnerable to the negative consequences of youth adversity. Public Library of Science 2023-08-31 /pmc/articles/PMC10470884/ /pubmed/37651364 http://dx.doi.org/10.1371/journal.pone.0289438 Text en © 2023 Hosang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Study Protocol Hosang, Georgina Mayling Havers, Laura Shuai, Ruichong Fonagy, Peter Fazel, Mina Morgan, Craig Karamanos, Alexis Fancourt, Daisy McCrone, Paul Smuk, Melanie Bhui, Kamaldeep Shakoor, Sania Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality |
title | Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality |
title_full | Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality |
title_fullStr | Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality |
title_full_unstemmed | Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality |
title_short | Protocol for secondary data analysis of 4 UK cohorts examining youth adversity and mental health in the context of intersectionality |
title_sort | protocol for secondary data analysis of 4 uk cohorts examining youth adversity and mental health in the context of intersectionality |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470884/ https://www.ncbi.nlm.nih.gov/pubmed/37651364 http://dx.doi.org/10.1371/journal.pone.0289438 |
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