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Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis

BACKGROUND: Different scales have attempted to assess various aspects of family dynamics and structures. Good family function seems to allow for better prognoses for basic diseases and appears to be a predictor of depression. The aim of this study was to determine the association between family func...

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Autores principales: Guerrero-Muñoz, Daniel, Salazar, Diana, Constain, Victoria, Perez, Alvaro, Pineda-Cañar, Carlos Andrés, García-Perdomo, Herney Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Family Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010447/
https://www.ncbi.nlm.nih.gov/pubmed/32521579
http://dx.doi.org/10.4082/kjfm.19.0166
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author Guerrero-Muñoz, Daniel
Salazar, Diana
Constain, Victoria
Perez, Alvaro
Pineda-Cañar, Carlos Andrés
García-Perdomo, Herney Andrés
author_facet Guerrero-Muñoz, Daniel
Salazar, Diana
Constain, Victoria
Perez, Alvaro
Pineda-Cañar, Carlos Andrés
García-Perdomo, Herney Andrés
author_sort Guerrero-Muñoz, Daniel
collection PubMed
description BACKGROUND: Different scales have attempted to assess various aspects of family dynamics and structures. Good family function seems to allow for better prognoses for basic diseases and appears to be a predictor of depression. The aim of this study was to determine the association between family functionality and depression. METHODS: This is a systematic review and meta-analysis including cross-sectional, cohort, and case-control studies using validated instruments such as the Family APGAR (Adaptability, Partnership, Growth, Affection, and Resolve) and Family Adaptability and Cohesion Evaluation Scale III. A search strategy was designed for the MEDLINE, Embase, Central, and LILACS databases along with data saturation through a search of unpublished literature from the onset of the databases to the present. The categorical variables are expressed in terms of odds ratios (OR), and the statistical analysis was carried out using Review Manager ver. 5.31 (The Cochrane Collaboration, Oxford, UK) using forest plots with corresponding 95% confidence intervals (CI). A fixed-effect model was used according to the expected heterogeneity, expressed in terms of I(2). The risk of bias was evaluated using the MINORS (methodological index for non-randomized studies) tool. RESULTS: A total of 1,519 studies were found, of which 10 were selected for the qualitative synthesis and four were chosen for the meta-analysis. The result for the association between family dysfunction and depression yielded an OR (95% CI) of 3.72 (2.70 to 5.12) and I(2) of 24%. CONCLUSION: Family dysfunction and depression are strongly associated.
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spelling pubmed-80104472021-04-06 Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis Guerrero-Muñoz, Daniel Salazar, Diana Constain, Victoria Perez, Alvaro Pineda-Cañar, Carlos Andrés García-Perdomo, Herney Andrés Korean J Fam Med Original Article BACKGROUND: Different scales have attempted to assess various aspects of family dynamics and structures. Good family function seems to allow for better prognoses for basic diseases and appears to be a predictor of depression. The aim of this study was to determine the association between family functionality and depression. METHODS: This is a systematic review and meta-analysis including cross-sectional, cohort, and case-control studies using validated instruments such as the Family APGAR (Adaptability, Partnership, Growth, Affection, and Resolve) and Family Adaptability and Cohesion Evaluation Scale III. A search strategy was designed for the MEDLINE, Embase, Central, and LILACS databases along with data saturation through a search of unpublished literature from the onset of the databases to the present. The categorical variables are expressed in terms of odds ratios (OR), and the statistical analysis was carried out using Review Manager ver. 5.31 (The Cochrane Collaboration, Oxford, UK) using forest plots with corresponding 95% confidence intervals (CI). A fixed-effect model was used according to the expected heterogeneity, expressed in terms of I(2). The risk of bias was evaluated using the MINORS (methodological index for non-randomized studies) tool. RESULTS: A total of 1,519 studies were found, of which 10 were selected for the qualitative synthesis and four were chosen for the meta-analysis. The result for the association between family dysfunction and depression yielded an OR (95% CI) of 3.72 (2.70 to 5.12) and I(2) of 24%. CONCLUSION: Family dysfunction and depression are strongly associated. Korean Academy of Family Medicine 2021-03 2020-06-10 /pmc/articles/PMC8010447/ /pubmed/32521579 http://dx.doi.org/10.4082/kjfm.19.0166 Text en Copyright © 2021 The Korean Academy of Family Medicine This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Guerrero-Muñoz, Daniel
Salazar, Diana
Constain, Victoria
Perez, Alvaro
Pineda-Cañar, Carlos Andrés
García-Perdomo, Herney Andrés
Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis
title Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis
title_full Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis
title_fullStr Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis
title_full_unstemmed Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis
title_short Association between Family Functionality and Depression: A Systematic Review and Meta-Analysis
title_sort association between family functionality and depression: a systematic review and meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010447/
https://www.ncbi.nlm.nih.gov/pubmed/32521579
http://dx.doi.org/10.4082/kjfm.19.0166
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