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Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis

BACKGROUND: Children with disabilities have an increased risk of mental health problems. Patterns of mental health problems and well-being may vary. AIMS: To identify patterns of mental health problems and well-being in children with disabilities in Sweden, and investigate the influence of parental...

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Autores principales: Täljedal, Torun, Granlund, Mats, Almqvist, Lena, Osman, Fatumo, Norén Selinus, Eva, Fängström, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353824/
https://www.ncbi.nlm.nih.gov/pubmed/37463139
http://dx.doi.org/10.1371/journal.pone.0288815
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author Täljedal, Torun
Granlund, Mats
Almqvist, Lena
Osman, Fatumo
Norén Selinus, Eva
Fängström, Karin
author_facet Täljedal, Torun
Granlund, Mats
Almqvist, Lena
Osman, Fatumo
Norén Selinus, Eva
Fängström, Karin
author_sort Täljedal, Torun
collection PubMed
description BACKGROUND: Children with disabilities have an increased risk of mental health problems. Patterns of mental health problems and well-being may vary. AIMS: To identify patterns of mental health problems and well-being in children with disabilities in Sweden, and investigate the influence of parental background (migration, education), and child cognitive level. METHOD: In this cross-sectional study, cluster analysis was used to analyse parents’ ratings of conduct problems, emotional symptoms, and prosocial behaviour on the Strengths and Difficulties Questionnaire (SDQ) in children with disabilities (n = 136). The influence of parental background (migration, education) and child cognitive level on cluster membership was explored through multinomial logistic regression. RESULTS: Five clusters of mental health patterns emerged. Three clusters had mean ratings near or past clinical cut-off for one each of the SDQ-subscales. One cluster had difficulties on all three subscales. Greater child cognitive difficulties increased the likelihood of low prosocial behaviour (OR 2.501, p < .001) and of difficulties on all three subscales (OR 2.155, p = .006). Parental background did not influence cluster membership. CONCLUSION: Children with disabilities display varying mental health patterns. Awareness of the complexity of mental health patterns among children with disabilities is important. Screening and support for emotional symptoms and prosocial behaviour deficits should be considered for children with conduct problems.
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spelling pubmed-103538242023-07-19 Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis Täljedal, Torun Granlund, Mats Almqvist, Lena Osman, Fatumo Norén Selinus, Eva Fängström, Karin PLoS One Research Article BACKGROUND: Children with disabilities have an increased risk of mental health problems. Patterns of mental health problems and well-being may vary. AIMS: To identify patterns of mental health problems and well-being in children with disabilities in Sweden, and investigate the influence of parental background (migration, education), and child cognitive level. METHOD: In this cross-sectional study, cluster analysis was used to analyse parents’ ratings of conduct problems, emotional symptoms, and prosocial behaviour on the Strengths and Difficulties Questionnaire (SDQ) in children with disabilities (n = 136). The influence of parental background (migration, education) and child cognitive level on cluster membership was explored through multinomial logistic regression. RESULTS: Five clusters of mental health patterns emerged. Three clusters had mean ratings near or past clinical cut-off for one each of the SDQ-subscales. One cluster had difficulties on all three subscales. Greater child cognitive difficulties increased the likelihood of low prosocial behaviour (OR 2.501, p < .001) and of difficulties on all three subscales (OR 2.155, p = .006). Parental background did not influence cluster membership. CONCLUSION: Children with disabilities display varying mental health patterns. Awareness of the complexity of mental health patterns among children with disabilities is important. Screening and support for emotional symptoms and prosocial behaviour deficits should be considered for children with conduct problems. Public Library of Science 2023-07-18 /pmc/articles/PMC10353824/ /pubmed/37463139 http://dx.doi.org/10.1371/journal.pone.0288815 Text en © 2023 Täljedal 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 Research Article
Täljedal, Torun
Granlund, Mats
Almqvist, Lena
Osman, Fatumo
Norén Selinus, Eva
Fängström, Karin
Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis
title Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis
title_full Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis
title_fullStr Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis
title_full_unstemmed Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis
title_short Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis
title_sort patterns of mental health problems and well-being in children with disabilities in sweden: a cross-sectional survey and cluster analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353824/
https://www.ncbi.nlm.nih.gov/pubmed/37463139
http://dx.doi.org/10.1371/journal.pone.0288815
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