Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015
Descripción del Articulo
The research aimed to determine the sociodemographic factors associated with depression in the population of Peruvian women aged 15 - 49. Being the Family Health Demographic Survey 2015, the database. The research was quantitative, correlational level, non-experimental design. The selection and refi...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/18445 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/18445 |
Nivel de acceso: | acceso abierto |
Materia: | ENDES- 2015 depression levels PHQ-9 sociodemographic factors ordinal logistic regression proportional odds models niveles de depresión actores sociodemográficos regresión logística ordinal modelos de odds proporcionales |
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Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015Factores sociodemográficos determinantes de la depresión en mujeres de 15 a 49 años - Encuesta Demográfica de Salud Familiar, 2015Bautista López, LuisCambillo Moyano, EmmaENDES- 2015depression levelsPHQ-9sociodemographic factorsordinal logistic regressionproportional odds modelsENDES- 2015niveles de depresiónPHQ-9actores sociodemográficosregresión logística ordinalmodelos de odds proporcionalesThe research aimed to determine the sociodemographic factors associated with depression in the population of Peruvian women aged 15 - 49. Being the Family Health Demographic Survey 2015, the database. The research was quantitative, correlational level, non-experimental design. The selection and refinement of the variables was based on the objectives, considering 13763 cases. From this, it was determined that 33.2% of the women suffer from depression whose levels are: 19.4% mild, 7.1% moderate, 3.8% severe and 2.9% very severe. By means of the proportional odds model, the sociodemographic factors associated with depression were determined (p-value<0.05): high school level of the partner, poor and medium wealth level, having suffered violence from their partner, having two or more sexual partners, diagnosis of diabetes or hypertension, having smoked in the last 12 months and having drunk alcohol at some time.La investigación tuvo por objetivo determinar los factores sociodemográficos asociados a la depresión en la población de mujeres peruanas de 15 a 49 años. Siendo la Encuesta Demográfica de Salud Familiar 2015, la base de datos. La investigación fue cuantitativa, nivel correlacional, diseño no experimental. La selección y depuración de las variables fue en base a los objetivos, considerándose 13763 casos. A partir de ello, se determinó que el 33.2% de las mujeres sufren de depresión cuyos niveles son: 19.4% leve, 7.1% moderada, 3.8% severa y 2.9% muy severa. Por medio del modelo odds proporcionales se determinaron los factores sociodemográficos asociados con la depresión (p-valor<0.05): nivel de estudios de la pareja secundaria, nivel de riqueza pobre y medio, haber sufrido violencia por parte de su pareja, tener dos o más parejas sexuales, diagnóstico de diabetes o hipertensión, haber fumado en los últimos 12 meses y haber bebido alcohol alguna vez.Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas2020-08-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/1844510.15381/pesquimat.v23i1.18445Pesquimat; Vol. 23 No. 1 (2020); 71-84Pesquimat; Vol. 23 Núm. 1 (2020); 71-841609-84391560-912Xreponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/18445/15520Derechos de autor 2020 Luis Bautista López, Emma Cambillo Moyanohttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/184452020-08-19T13:23:15Z |
dc.title.none.fl_str_mv |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 Factores sociodemográficos determinantes de la depresión en mujeres de 15 a 49 años - Encuesta Demográfica de Salud Familiar, 2015 |
title |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 |
spellingShingle |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 Bautista López, Luis ENDES- 2015 depression levels PHQ-9 sociodemographic factors ordinal logistic regression proportional odds models ENDES- 2015 niveles de depresión PHQ-9 actores sociodemográficos regresión logística ordinal modelos de odds proporcionales |
title_short |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 |
title_full |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 |
title_fullStr |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 |
title_full_unstemmed |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 |
title_sort |
Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015 |
dc.creator.none.fl_str_mv |
Bautista López, Luis Cambillo Moyano, Emma |
author |
Bautista López, Luis |
author_facet |
Bautista López, Luis Cambillo Moyano, Emma |
author_role |
author |
author2 |
Cambillo Moyano, Emma |
author2_role |
author |
dc.subject.none.fl_str_mv |
ENDES- 2015 depression levels PHQ-9 sociodemographic factors ordinal logistic regression proportional odds models ENDES- 2015 niveles de depresión PHQ-9 actores sociodemográficos regresión logística ordinal modelos de odds proporcionales |
topic |
ENDES- 2015 depression levels PHQ-9 sociodemographic factors ordinal logistic regression proportional odds models ENDES- 2015 niveles de depresión PHQ-9 actores sociodemográficos regresión logística ordinal modelos de odds proporcionales |
description |
The research aimed to determine the sociodemographic factors associated with depression in the population of Peruvian women aged 15 - 49. Being the Family Health Demographic Survey 2015, the database. The research was quantitative, correlational level, non-experimental design. The selection and refinement of the variables was based on the objectives, considering 13763 cases. From this, it was determined that 33.2% of the women suffer from depression whose levels are: 19.4% mild, 7.1% moderate, 3.8% severe and 2.9% very severe. By means of the proportional odds model, the sociodemographic factors associated with depression were determined (p-value<0.05): high school level of the partner, poor and medium wealth level, having suffered violence from their partner, having two or more sexual partners, diagnosis of diabetes or hypertension, having smoked in the last 12 months and having drunk alcohol at some time. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-13 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/18445 10.15381/pesquimat.v23i1.18445 |
url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/18445 |
identifier_str_mv |
10.15381/pesquimat.v23i1.18445 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/matema/article/view/18445/15520 |
dc.rights.none.fl_str_mv |
Derechos de autor 2020 Luis Bautista López, Emma Cambillo Moyano https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2020 Luis Bautista López, Emma Cambillo Moyano https://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas |
publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Matemáticas |
dc.source.none.fl_str_mv |
Pesquimat; Vol. 23 No. 1 (2020); 71-84 Pesquimat; Vol. 23 Núm. 1 (2020); 71-84 1609-8439 1560-912X reponame:Revistas - Universidad Nacional Mayor de San Marcos instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
instname_str |
Universidad Nacional Mayor de San Marcos |
instacron_str |
UNMSM |
institution |
UNMSM |
reponame_str |
Revistas - Universidad Nacional Mayor de San Marcos |
collection |
Revistas - Universidad Nacional Mayor de San Marcos |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
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1795238281118482432 |
score |
13.949927 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).