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Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members
BACKGROUND: Globally, an estimated five percent of adults have major depressive disorder. However, little is known about the relationship between these individuals’ depressive symptoms and their household members’ mental health and well-being. OBJECTIVES: We aimed to investigate the prevalence and p...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413913/ https://www.ncbi.nlm.nih.gov/pubmed/37554074 http://dx.doi.org/10.1080/16549716.2023.2241808 |
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author | Mpinga, Kondwani Rukundo, Temusa Mwale, Owen Kamwiyo, Myrrah Thengo, Limbani Ruderman, Todd Matanje, Beatrice Munyaneza, Fabien Connolly, Emilia Kulisewa, Kazione Udedi, Michael Kachimanga, Chiyembekezo Dullie, Luckson McBain, Ryan |
author_facet | Mpinga, Kondwani Rukundo, Temusa Mwale, Owen Kamwiyo, Myrrah Thengo, Limbani Ruderman, Todd Matanje, Beatrice Munyaneza, Fabien Connolly, Emilia Kulisewa, Kazione Udedi, Michael Kachimanga, Chiyembekezo Dullie, Luckson McBain, Ryan |
author_sort | Mpinga, Kondwani |
collection | PubMed |
description | BACKGROUND: Globally, an estimated five percent of adults have major depressive disorder. However, little is known about the relationship between these individuals’ depressive symptoms and their household members’ mental health and well-being. OBJECTIVES: We aimed to investigate the prevalence and predictors of depressive symptoms among adult household members of patients living with major depressive disorder in Neno District, Malawi. METHODS: As part of a cluster randomized controlled trial providing depression care to adults with major depressive disorder, we conducted surveys with patients’ household members (n = 236) and inquired about their overall health, depressive symptoms, disability, and social support. We calculated prevalence rates of depressive disorder and conducted multivariable linear regression and multivariable logistic regression analyses to assess correlates of depressive symptom severity and predictors of having depressive disorder (PHQ-9), respectively, among household members. RESULTS: We observed that roughly one in five household members (19%) screened positive for a depressive disorder (PHQ-9 > 9). More than half of household members endorsed six or more of the nine symptoms, with 68% reporting feeling ‘down, depressed, or hopeless’ in the prior two weeks. Elevated depression symptom severity was associated with greater disability (β = 0.17, p < 0.001), less social support (β = −0.04, p = 0.016), and lower self-reported overall health (β = 0.54, p = 0.001). Having depressive disorder was also associated with greater disability (adjusted Odds Ratio [aOR] = 1.12, p = 0.001) and less social support (aOR = 0.97, p = 0.024). CONCLUSIONS: In the Malawian context, we find that depressive disorder and depression symptoms are shared attributes among household members. This has implications for both screening and treatment, and it suggests that mental health should be approached from the vantage point of the broader social ecology of the household and family unit. TRIAL REGISTRATION: ClinicalTrials.gov (NCT04777006) - March 2, 2021. |
format | Online Article Text |
id | pubmed-10413913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-104139132023-08-11 Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members Mpinga, Kondwani Rukundo, Temusa Mwale, Owen Kamwiyo, Myrrah Thengo, Limbani Ruderman, Todd Matanje, Beatrice Munyaneza, Fabien Connolly, Emilia Kulisewa, Kazione Udedi, Michael Kachimanga, Chiyembekezo Dullie, Luckson McBain, Ryan Glob Health Action Research Article BACKGROUND: Globally, an estimated five percent of adults have major depressive disorder. However, little is known about the relationship between these individuals’ depressive symptoms and their household members’ mental health and well-being. OBJECTIVES: We aimed to investigate the prevalence and predictors of depressive symptoms among adult household members of patients living with major depressive disorder in Neno District, Malawi. METHODS: As part of a cluster randomized controlled trial providing depression care to adults with major depressive disorder, we conducted surveys with patients’ household members (n = 236) and inquired about their overall health, depressive symptoms, disability, and social support. We calculated prevalence rates of depressive disorder and conducted multivariable linear regression and multivariable logistic regression analyses to assess correlates of depressive symptom severity and predictors of having depressive disorder (PHQ-9), respectively, among household members. RESULTS: We observed that roughly one in five household members (19%) screened positive for a depressive disorder (PHQ-9 > 9). More than half of household members endorsed six or more of the nine symptoms, with 68% reporting feeling ‘down, depressed, or hopeless’ in the prior two weeks. Elevated depression symptom severity was associated with greater disability (β = 0.17, p < 0.001), less social support (β = −0.04, p = 0.016), and lower self-reported overall health (β = 0.54, p = 0.001). Having depressive disorder was also associated with greater disability (adjusted Odds Ratio [aOR] = 1.12, p = 0.001) and less social support (aOR = 0.97, p = 0.024). CONCLUSIONS: In the Malawian context, we find that depressive disorder and depression symptoms are shared attributes among household members. This has implications for both screening and treatment, and it suggests that mental health should be approached from the vantage point of the broader social ecology of the household and family unit. TRIAL REGISTRATION: ClinicalTrials.gov (NCT04777006) - March 2, 2021. Taylor & Francis 2023-08-09 /pmc/articles/PMC10413913/ /pubmed/37554074 http://dx.doi.org/10.1080/16549716.2023.2241808 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Research Article Mpinga, Kondwani Rukundo, Temusa Mwale, Owen Kamwiyo, Myrrah Thengo, Limbani Ruderman, Todd Matanje, Beatrice Munyaneza, Fabien Connolly, Emilia Kulisewa, Kazione Udedi, Michael Kachimanga, Chiyembekezo Dullie, Luckson McBain, Ryan Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
title | Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
title_full | Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
title_fullStr | Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
title_full_unstemmed | Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
title_short | Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
title_sort | depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413913/ https://www.ncbi.nlm.nih.gov/pubmed/37554074 http://dx.doi.org/10.1080/16549716.2023.2241808 |
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