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Adverse childhood experiences and child mental health: an electronic birth cohort study

BACKGROUND: Adverse childhood experiences (ACEs) are negatively associated with a range of child health outcomes. In this study, we explored associations between five individual ACEs and child mental health diagnoses or symptoms. ACEs included living with someone who had an alcohol-related problem,...

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Autores principales: Lowthian, Emily, Anthony, Rebecca, Evans, Annette, Daniel, Rhian, Long, Sara, Bandyopadhyay, Amrita, John, Ann, Bellis, Mark A., Paranjothy, Shantini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344166/
https://www.ncbi.nlm.nih.gov/pubmed/34353320
http://dx.doi.org/10.1186/s12916-021-02045-x
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author Lowthian, Emily
Anthony, Rebecca
Evans, Annette
Daniel, Rhian
Long, Sara
Bandyopadhyay, Amrita
John, Ann
Bellis, Mark A.
Paranjothy, Shantini
author_facet Lowthian, Emily
Anthony, Rebecca
Evans, Annette
Daniel, Rhian
Long, Sara
Bandyopadhyay, Amrita
John, Ann
Bellis, Mark A.
Paranjothy, Shantini
author_sort Lowthian, Emily
collection PubMed
description BACKGROUND: Adverse childhood experiences (ACEs) are negatively associated with a range of child health outcomes. In this study, we explored associations between five individual ACEs and child mental health diagnoses or symptoms. ACEs included living with someone who had an alcohol-related problem, common mental health disorder or serious mental illness, or experienced victimisation or death of a household member. METHODS: We analysed data from a population-level electronic cohort of children in Wales, UK, (N = 191,035) between the years of 1998 and 2012. We used Cox regression with discrete time-varying exposure variables to model time to child mental health diagnosis during the first 15 years of life. Child mental health diagnoses include five categories: (i) externalising symptoms (anti-social behaviour), (ii) internalising symptoms (stress, anxiety, depression), (iii) developmental delay (e.g. learning disability), (iv) other (e.g. eating disorder, personality disorders), and (v) any mental health diagnosis, which was created by combining externalising symptoms, internalising symptoms and other. Our analyses were adjusted for social deprivation and perinatal risk factors. RESULTS: There were strong univariable associations between the five individual ACEs, sociodemographic and perinatal factors (e.g. gestational weight at birth) and an increased risk of child mental health diagnoses. After adjusting for sociodemographic and perinatal aspects, there was a remaining conditional increased risk of any child mental health diagnosis, associated with victimisation (conditional hazard ratio (cHR) 1.90, CI 95% 1.34–2.69), and living with an adult with a common mental health diagnosis (cHR 1.63, CI 95% 1.52–1.75). Coefficients of product terms between ACEs and deprivation were not statistically significant. CONCLUSION: The increased risk of child mental health diagnosis associated with victimisation, or exposure to common mental health diagnoses, and alcohol problems in the household supports the need for policy measures and intervention strategies for children and their families. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02045-x.
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spelling pubmed-83441662021-08-09 Adverse childhood experiences and child mental health: an electronic birth cohort study Lowthian, Emily Anthony, Rebecca Evans, Annette Daniel, Rhian Long, Sara Bandyopadhyay, Amrita John, Ann Bellis, Mark A. Paranjothy, Shantini BMC Med Research Article BACKGROUND: Adverse childhood experiences (ACEs) are negatively associated with a range of child health outcomes. In this study, we explored associations between five individual ACEs and child mental health diagnoses or symptoms. ACEs included living with someone who had an alcohol-related problem, common mental health disorder or serious mental illness, or experienced victimisation or death of a household member. METHODS: We analysed data from a population-level electronic cohort of children in Wales, UK, (N = 191,035) between the years of 1998 and 2012. We used Cox regression with discrete time-varying exposure variables to model time to child mental health diagnosis during the first 15 years of life. Child mental health diagnoses include five categories: (i) externalising symptoms (anti-social behaviour), (ii) internalising symptoms (stress, anxiety, depression), (iii) developmental delay (e.g. learning disability), (iv) other (e.g. eating disorder, personality disorders), and (v) any mental health diagnosis, which was created by combining externalising symptoms, internalising symptoms and other. Our analyses were adjusted for social deprivation and perinatal risk factors. RESULTS: There were strong univariable associations between the five individual ACEs, sociodemographic and perinatal factors (e.g. gestational weight at birth) and an increased risk of child mental health diagnoses. After adjusting for sociodemographic and perinatal aspects, there was a remaining conditional increased risk of any child mental health diagnosis, associated with victimisation (conditional hazard ratio (cHR) 1.90, CI 95% 1.34–2.69), and living with an adult with a common mental health diagnosis (cHR 1.63, CI 95% 1.52–1.75). Coefficients of product terms between ACEs and deprivation were not statistically significant. CONCLUSION: The increased risk of child mental health diagnosis associated with victimisation, or exposure to common mental health diagnoses, and alcohol problems in the household supports the need for policy measures and intervention strategies for children and their families. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02045-x. BioMed Central 2021-08-06 /pmc/articles/PMC8344166/ /pubmed/34353320 http://dx.doi.org/10.1186/s12916-021-02045-x 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lowthian, Emily
Anthony, Rebecca
Evans, Annette
Daniel, Rhian
Long, Sara
Bandyopadhyay, Amrita
John, Ann
Bellis, Mark A.
Paranjothy, Shantini
Adverse childhood experiences and child mental health: an electronic birth cohort study
title Adverse childhood experiences and child mental health: an electronic birth cohort study
title_full Adverse childhood experiences and child mental health: an electronic birth cohort study
title_fullStr Adverse childhood experiences and child mental health: an electronic birth cohort study
title_full_unstemmed Adverse childhood experiences and child mental health: an electronic birth cohort study
title_short Adverse childhood experiences and child mental health: an electronic birth cohort study
title_sort adverse childhood experiences and child mental health: an electronic birth cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344166/
https://www.ncbi.nlm.nih.gov/pubmed/34353320
http://dx.doi.org/10.1186/s12916-021-02045-x
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