Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model

Major depression etiopathogenesis is related to a wide variety of genetics, demographic and psychosocial factors, as well as to environmental factors. The objective of this study is to analyze sociodemographic and environmental variables that are related to the prevalence of depression through corre...

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Autores: Llorente, José María, Oliván-Blázquez, Bárbara, Zuñiga-Antón, María, Masluk, Bárbara, Andrés, Eva, García-Campayo, Javier, Magallón-Botaya, Rosa
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/686741
Acceso en línea:http://hdl.handle.net/10486/686741
https://dx.doi.org/10.3389/fpsyg.2018.02182
Access Level:acceso abierto
Palabra clave:Depression
Environmental factors
Prevalence
Sociodemographic factors
Variability
Ciencias Sociales
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spelling Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological modelLlorente, José MaríaOliván-Blázquez, BárbaraZuñiga-Antón, MaríaMasluk, BárbaraAndrés, EvaGarcía-Campayo, JavierMagallón-Botaya, RosaDepressionEnvironmental factorsPrevalenceSociodemographic factorsVariabilityCiencias SocialesMajor depression etiopathogenesis is related to a wide variety of genetics, demographic and psychosocial factors, as well as to environmental factors. The objective of this study is to analyze sociodemographic and environmental variables that are related to the prevalence of depression through correlation analysis and to develop a regression model that explains the behavior of this disease from an ecological perspective. This is an ecological, retrospective, cross-sectional study. The target population was 1,148,430 individuals over the age of 16 who were registered in Aragon (Spain) during 2010, with electronic medical records in the community's primary health care centers. The spatial unit was the Basic Health Area (BHA). The dependent variable was the diagnosis of Depression and the ecological independent variables were: Demographic variables (gender and age), population distribution, typology of the entity, population structure by sex and age, by nationality, by education, by work, by salary, by marital status, structure of the household by number of members, and state of the buildings. The results show moderate and positive correlations with higher rates of depression in areas having a higher femininity index, higher population density, areas with a higher unemployment rate and higher average salary. The results of the linear regression show that aging +75 and rural entities act as protective factors for depression, while urban areas and deficient buildings act as risk factors. In conclusion, the ecological methodology may be a useful tool which, together with the statistical epidemiological analysis, can help in the political decision making process.This work was supported by the Health Institute Carlos III (grant number Medical research Council (grant number PS09/01378); Research Group B21_R17 of the Department of Research, Innovation and University of the Government of Aragon (Spain); and Feder Funds “Another way to make Europe”.Frontiers Media S.A.Departamento de Economía AplicadaFacultad de Ciencias Económicas y Empresariales20182018-11-12research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/686741https://dx.doi.org/10.3389/fpsyg.2018.02182reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6867412026-06-23T12:46:27Z
dc.title.none.fl_str_mv Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
title Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
spellingShingle Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
Llorente, José María
Depression
Environmental factors
Prevalence
Sociodemographic factors
Variability
Ciencias Sociales
title_short Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
title_full Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
title_fullStr Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
title_full_unstemmed Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
title_sort Variability of the prevalence of depression in function of sociodemographic and environmental factors: Ecological model
dc.creator.none.fl_str_mv Llorente, José María
Oliván-Blázquez, Bárbara
Zuñiga-Antón, María
Masluk, Bárbara
Andrés, Eva
García-Campayo, Javier
Magallón-Botaya, Rosa
author Llorente, José María
author_facet Llorente, José María
Oliván-Blázquez, Bárbara
Zuñiga-Antón, María
Masluk, Bárbara
Andrés, Eva
García-Campayo, Javier
Magallón-Botaya, Rosa
author_role author
author2 Oliván-Blázquez, Bárbara
Zuñiga-Antón, María
Masluk, Bárbara
Andrés, Eva
García-Campayo, Javier
Magallón-Botaya, Rosa
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Economía Aplicada
Facultad de Ciencias Económicas y Empresariales
dc.subject.none.fl_str_mv Depression
Environmental factors
Prevalence
Sociodemographic factors
Variability
Ciencias Sociales
topic Depression
Environmental factors
Prevalence
Sociodemographic factors
Variability
Ciencias Sociales
description Major depression etiopathogenesis is related to a wide variety of genetics, demographic and psychosocial factors, as well as to environmental factors. The objective of this study is to analyze sociodemographic and environmental variables that are related to the prevalence of depression through correlation analysis and to develop a regression model that explains the behavior of this disease from an ecological perspective. This is an ecological, retrospective, cross-sectional study. The target population was 1,148,430 individuals over the age of 16 who were registered in Aragon (Spain) during 2010, with electronic medical records in the community's primary health care centers. The spatial unit was the Basic Health Area (BHA). The dependent variable was the diagnosis of Depression and the ecological independent variables were: Demographic variables (gender and age), population distribution, typology of the entity, population structure by sex and age, by nationality, by education, by work, by salary, by marital status, structure of the household by number of members, and state of the buildings. The results show moderate and positive correlations with higher rates of depression in areas having a higher femininity index, higher population density, areas with a higher unemployment rate and higher average salary. The results of the linear regression show that aging +75 and rural entities act as protective factors for depression, while urban areas and deficient buildings act as risk factors. In conclusion, the ecological methodology may be a useful tool which, together with the statistical epidemiological analysis, can help in the political decision making process.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-11-12
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/686741
https://dx.doi.org/10.3389/fpsyg.2018.02182
url http://hdl.handle.net/10486/686741
https://dx.doi.org/10.3389/fpsyg.2018.02182
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media S.A.
publisher.none.fl_str_mv Frontiers Media S.A.
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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