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dc.contributor.authorAllen, K
dc.contributor.authorMelendez-Torres, GJ
dc.contributor.authorFord, T
dc.contributor.authorBonell, C
dc.contributor.authorBerry, V
dc.date.accessioned2024-08-27T08:36:13Z
dc.date.issued2024-08-26
dc.date.updated2024-08-27T06:55:57Z
dc.description.abstractBackground - Parental domestic violence and abuse (DVA), mental ill-health (MH), and substance misuse (SU) can have a negative impact on both parents and children. However, it remains unclear if and how parental DVA, MH, and SU cluster and the impacts this clustering might have. We examined how parental DVA, MH, and SU cluster during early childhood, the demographic/contextual profiles of these clusters, and how these clusters relate to child MH trajectories. Methods - We examined data from 15,377 families in the UK Millennium Cohort Study. We used: (1) latent class analysis to create groups differentially exposed to parental DVA, MH, and SU at age three; (2) latent growth curve modelling to create latent trajectories of child MH from ages 3–17; and (3) a case-weight approach to relate latent classes to child MH trajectories. Results - We identified three latent classes: high-frequency alcohol use (11.9%), elevated adversity (3.5%), and low-level adversity (84.6%). Children in the elevated adversity class had higher probabilities of being from low-socioeconomic backgrounds and having White, younger parents. Children exposed to elevated adversity displayed worse MH at age three (intercept=2.274; p<0.001) compared the low-level adversity (intercept=2.228; p<0.001) and high-frequency alcohol use class (intercept=2.068; p<0.001). However, latent growth factors (linear and quadratic terms) of child MH did not differ by latent class. Conclusions - Parental DVA, MH, and SU cluster during early childhood and this has a negative impact on children’s MH at age three, leading to similar levels of poor MH across time. Intervening early to prevent the initial deterioration, using a syndemic-approach is essential.en_GB
dc.description.sponsorshipNational Institute for Health and Care Researchen_GB
dc.description.sponsorshipUK Economic and Social Research Councilen_GB
dc.identifier.citationVol. 24, article 2310en_GB
dc.identifier.doihttps://doi.org/10.1186/s12889-024-19694-1
dc.identifier.urihttp://hdl.handle.net/10871/137257
dc.identifierORCID: 0000-0002-0870-7209 (Allen, Kate)
dc.identifierORCID: 0000-0002-9823-4790 (Melendez-Torres, GJ)
dc.identifierScopusID: 57188672699 (Melendez-Torres, GJ)
dc.identifierORCID: 0000-0001-6438-3731 (Berry, Vashti)
dc.identifierScopusID: 10046697500 (Berry, Vashti)
dc.language.isoenen_GB
dc.publisherBioMed Central (BMC)en_GB
dc.relation.urlhttps://ukdataservice.ac.uk/en_GB
dc.rights© The Author(s) 2024. Open Access This 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/. The Creative Commons Public Domain Dedication waiver (http://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.en_GB
dc.subjectAdverse childhood experiencesen_GB
dc.subjectDomestic violence and abuseen_GB
dc.subjectMental ill-healthen_GB
dc.subjectSubstance misuseen_GB
dc.subjectChild mental healthen_GB
dc.subjectLatent variable mixture modellingen_GB
dc.titleParental domestic violence and abuse, mental ill-health, and substance misuse and the impact on child mental health: a secondary data analysis using the UK Millennium Cohort Studyen_GB
dc.typeArticleen_GB
dc.date.available2024-08-27T08:36:13Z
exeter.article-number2310
dc.descriptionThis is the final version. Available from BMC via the DOI in this record. en_GB
dc.descriptionData availability. This study uses data from the MCS. MCS data can be found and accessed via the UK Data Service: https://ukdataservice.ac.uk/.en_GB
dc.identifier.eissn1471-2458
dc.identifier.journalBMC Public Healthen_GB
dc.relation.ispartofBMC Public Health, 24(1)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-08-05
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-08-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-08-27T08:27:18Z
refterms.versionFCDVoR
refterms.dateFOA2024-08-27T08:37:00Z
refterms.panelAen_GB
refterms.dateFirstOnline2024-08-26


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© The Author(s) 2024. Open Access This 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/. The
Creative Commons Public Domain Dedication waiver (http://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.
Except where otherwise noted, this item's licence is described as © The Author(s) 2024. Open Access This 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/. The Creative Commons Public Domain Dedication waiver (http://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.