Título The socio-demographic profile associated with perinatal depression during the COVID-19 era
Autores Kovacheva K. , Rodríguez-Muñoz M.F. , GÓMEZ BAYA, DIEGO, DOMÍNGUEZ SALAS, SARA, MOTRICO MARTINEZ, EMMA
Publicación externa No
Medio BMC Public Health
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156218764&doi=10.1186%2fs12889-023-15665-0&partnerID=40&md5=627347da103559391e91080d1a2a58b6
Fecha de publicacion 01/04/2023
ISI 000985165200016
Scopus Id 2-s2.0-85156218764
DOI 10.1186/s12889-023-15665-0
Abstract 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. © 2023, The Author(s).
Palabras clave COVID-19; Depression; Perinatal; Sociodemographic data
Miembros de la Universidad Loyola

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