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Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model
OBJECTIVE: Previous research has demonstrated that individual risk of mental illness is associated with individual, co-resident, and household risk factors. However, modelling the overall effect of these risk factors presents several methodological challenges. In this study we apply a multilevel str...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429464/ https://www.ncbi.nlm.nih.gov/pubmed/36045347 http://dx.doi.org/10.1186/s12874-022-01711-9 |
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author | Gabr, Hend Baragilly, Mohammed Willis, Brian H. |
author_facet | Gabr, Hend Baragilly, Mohammed Willis, Brian H. |
author_sort | Gabr, Hend |
collection | PubMed |
description | OBJECTIVE: Previous research has demonstrated that individual risk of mental illness is associated with individual, co-resident, and household risk factors. However, modelling the overall effect of these risk factors presents several methodological challenges. In this study we apply a multilevel structural equation model (MSEM) to address some of these challenges and the impact of the different determinants when measuring mental health risk. STUDY DESIGN AND SETTING: Two thousand, one hundred forty-three individuals aged 16 and over from 888 households were analysed based on the Household Survey for England-2014 dataset. We applied MSEM to simultaneously measure and identify psychiatric morbidity determinants while accounting for the dependency among individuals within the same household and the measurement errors. RESULTS: Younger age, female gender, non-working status, headship of the household, having no close relationship with other people, having history of mental illness and obesity were all significant (p < 0.01) individual risk factors for psychiatric morbidity. A previous history of mental illness in the co-residents, living in a deprived household, and a lack of closeness in relationships among residents were also significant predictors. Model fit indices showed a very good model specification (CFI = 0.987, TLI = 0.980, RMSEA = 0.023, GFI = 0.992). CONCLUSION: Measuring and addressing mental health determinants should consider not only an individual’s characteristics but also the co-residents and the households in which they live. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01711-9. |
format | Online Article Text |
id | pubmed-9429464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94294642022-09-01 Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model Gabr, Hend Baragilly, Mohammed Willis, Brian H. BMC Med Res Methodol Research OBJECTIVE: Previous research has demonstrated that individual risk of mental illness is associated with individual, co-resident, and household risk factors. However, modelling the overall effect of these risk factors presents several methodological challenges. In this study we apply a multilevel structural equation model (MSEM) to address some of these challenges and the impact of the different determinants when measuring mental health risk. STUDY DESIGN AND SETTING: Two thousand, one hundred forty-three individuals aged 16 and over from 888 households were analysed based on the Household Survey for England-2014 dataset. We applied MSEM to simultaneously measure and identify psychiatric morbidity determinants while accounting for the dependency among individuals within the same household and the measurement errors. RESULTS: Younger age, female gender, non-working status, headship of the household, having no close relationship with other people, having history of mental illness and obesity were all significant (p < 0.01) individual risk factors for psychiatric morbidity. A previous history of mental illness in the co-residents, living in a deprived household, and a lack of closeness in relationships among residents were also significant predictors. Model fit indices showed a very good model specification (CFI = 0.987, TLI = 0.980, RMSEA = 0.023, GFI = 0.992). CONCLUSION: Measuring and addressing mental health determinants should consider not only an individual’s characteristics but also the co-residents and the households in which they live. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01711-9. BioMed Central 2022-08-31 /pmc/articles/PMC9429464/ /pubmed/36045347 http://dx.doi.org/10.1186/s12874-022-01711-9 Text en © The Author(s) 2022 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 Gabr, Hend Baragilly, Mohammed Willis, Brian H. Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
title | Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
title_full | Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
title_fullStr | Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
title_full_unstemmed | Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
title_short | Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
title_sort | measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429464/ https://www.ncbi.nlm.nih.gov/pubmed/36045347 http://dx.doi.org/10.1186/s12874-022-01711-9 |
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