Sociodemographic factors determining depression in women aged 15 to 49 - Demographic Survey of Family Health, 2015

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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...

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Detalles Bibliográficos
Autores: Bautista López, Luis, Cambillo Moyano, Emma
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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spelling 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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