The socio-demographic profile associated with perinatal depression during the COVID-19 era

Background Coronavirus disease 2019 (COVID‑19) has caused an increase in perinatal depression. The aim of this research was to identify which sociodemographic variables are related to the increase in perinatal depression due to the pandemic. In addition to estimating to what extent they predict peri...

Descripción completa

Detalles Bibliográficos
Autores: Kovacheva, Katina, Rodríguez Muñoz, María F., Gómez-Baya, Diego, Domínguez Salas, Sara, Mótrico Martínez, Emma
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Loyola Andalucía
Repositorio:Brújula
OAI Identifier:oai:repositorio.uloyola.es:20.500.12412/4661
Acceso en línea:https://hdl.handle.net/20.500.12412/4661
Access Level:acceso abierto
Palabra clave:Depression
Perinatal
COVID‑19
Sociodemographic data
id ES_7c269b86a2b39bdef9e045f353fdb392
oai_identifier_str oai:repositorio.uloyola.es:20.500.12412/4661
network_acronym_str ES
network_name_str España
repository_id_str
spelling The socio-demographic profile associated with perinatal depression during the COVID-19 eraKovacheva, KatinaRodríguez Muñoz, María F.Gómez-Baya, DiegoDomínguez Salas, SaraMótrico Martínez, EmmaDepressionPerinatalCOVID‑19Sociodemographic dataBackground Coronavirus disease 2019 (COVID‑19) has caused an increase in perinatal depression. The aim of this research was to identify which sociodemographic variables are related to the increase in perinatal depression due to the pandemic. In addition to estimating to what extent they predict perinatal depression, differentiating the prenatal and postnatal periods. Methods The sample consisted of 3,356 subjects, 1,402 in the prenatal period and 1,954 in the postnatal period. The Edinburgh Postnatal Depression Scale was used to assess depressive symptomatology. A subset of 14 questions was included to collect demographic data. Items from the Spanish version of the Coronavirus Perinatal Experiences Survey were also included. Results Experiencing the change of environment due to COVID‑19 as negative and having a history of mental health predict perinatal depression, otherwise having higher education decreases the risk. In the prenatal stage having symptoms compatible with COVID‑19 is a predictor of perinatal depression and having more than 3 years living together with the partner and being a housewife decreases the risk. In the postnatal stage being unemployed is a predictor of prenatal depression and being a first‑time mother decreases the risk. Conclusions This study highlights the relevance of sociodemographic status. It is essential to be aware of the risk factors of perinatal depression, to make adequate prevention, and to create health policies to alleviate the consequences of the pandemic.2023info:eu-repo/semantics/articlehttps://hdl.handle.net/20.500.12412/4661reponame:Brújulainstname:Universidad Loyola AndalucíaInglésThis project is part of the ‘COST Action Research Network in Peripartum Depression’ (Riseup‑PPD CA 18138).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uloyola.es:20.500.12412/46612026-06-24T12:48:37Z
dc.title.none.fl_str_mv The socio-demographic profile associated with perinatal depression during the COVID-19 era
title The socio-demographic profile associated with perinatal depression during the COVID-19 era
spellingShingle The socio-demographic profile associated with perinatal depression during the COVID-19 era
Kovacheva, Katina
Depression
Perinatal
COVID‑19
Sociodemographic data
title_short The socio-demographic profile associated with perinatal depression during the COVID-19 era
title_full The socio-demographic profile associated with perinatal depression during the COVID-19 era
title_fullStr The socio-demographic profile associated with perinatal depression during the COVID-19 era
title_full_unstemmed The socio-demographic profile associated with perinatal depression during the COVID-19 era
title_sort The socio-demographic profile associated with perinatal depression during the COVID-19 era
dc.creator.none.fl_str_mv Kovacheva, Katina
Rodríguez Muñoz, María F.
Gómez-Baya, Diego
Domínguez Salas, Sara
Mótrico Martínez, Emma
author Kovacheva, Katina
author_facet Kovacheva, Katina
Rodríguez Muñoz, María F.
Gómez-Baya, Diego
Domínguez Salas, Sara
Mótrico Martínez, Emma
author_role author
author2 Rodríguez Muñoz, María F.
Gómez-Baya, Diego
Domínguez Salas, Sara
Mótrico Martínez, Emma
author2_role author
author
author
author
dc.subject.none.fl_str_mv Depression
Perinatal
COVID‑19
Sociodemographic data
topic Depression
Perinatal
COVID‑19
Sociodemographic data
description Background Coronavirus disease 2019 (COVID‑19) has caused an increase in perinatal depression. The aim of this research was to identify which sociodemographic variables are related to the increase in perinatal depression due to the pandemic. In addition to estimating to what extent they predict perinatal depression, differentiating the prenatal and postnatal periods. Methods The sample consisted of 3,356 subjects, 1,402 in the prenatal period and 1,954 in the postnatal period. The Edinburgh Postnatal Depression Scale was used to assess depressive symptomatology. A subset of 14 questions was included to collect demographic data. Items from the Spanish version of the Coronavirus Perinatal Experiences Survey were also included. Results Experiencing the change of environment due to COVID‑19 as negative and having a history of mental health predict perinatal depression, otherwise having higher education decreases the risk. In the prenatal stage having symptoms compatible with COVID‑19 is a predictor of perinatal depression and having more than 3 years living together with the partner and being a housewife decreases the risk. In the postnatal stage being unemployed is a predictor of prenatal depression and being a first‑time mother decreases the risk. Conclusions This study highlights the relevance of sociodemographic status. It is essential to be aware of the risk factors of perinatal depression, to make adequate prevention, and to create health policies to alleviate the consequences of the pandemic.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12412/4661
url https://hdl.handle.net/20.500.12412/4661
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv This project is part of the ‘COST Action Research Network in Peripartum Depression’ (Riseup‑PPD CA 18138).
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Brújula
instname:Universidad Loyola Andalucía
instname_str Universidad Loyola Andalucía
reponame_str Brújula
collection Brújula
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411568283811840
score 15.812429