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dc.contributor.authorCATALA, Patricia
dc.contributor.authorSuso-Ribera, Carlos
dc.contributor.authorMarin, Dolores
dc.contributor.authorPeñacoba, Cecilia
dc.date.accessioned2021-02-23T11:48:41Z
dc.date.available2021-02-23T11:48:41Z
dc.date.issued2020
dc.identifier.citationCatala, P., Suso-Ribera, C., Marin, D. et al. Predicting postpartum post-traumatic stress and depressive symptoms in low-risk women from distal and proximal factors: a biopsychosocial prospective study using structural equation modeling. Arch Gynecol Obstet (2020). https://doi.org/10.1007/s00404-020-05857-zca_CA
dc.identifier.issn0932-0067
dc.identifier.issn1432-0711
dc.identifier.urihttp://hdl.handle.net/10234/192216
dc.description.abstractPurpose: Posttraumatic stress (PTSD) and depression (PPD) are common mental disorders in the postpartum that constitute a threat both to the mother and the baby. It is unclear whether both disorders share similar antecedents, which is important to plan efficient interventions. The goal of this study was to examine the contribution of set of biopsychosocial predictors on both PTSD and PPD. Methods: The study design was prospective. The study was conducted at Hospital Universitario de Fuenlabrada, a public university hospital located in the south of Madrid (Spain). The sample was composed of 116 pregnant women with low pregnancy risk. STROBE reporting guidelines were followed. Results: The multivariate results show that psychopathology severity assessed during the first trimester (ß = 0.50, p < .001) and the Apgar score 5 min after delivery (ß = − 0.19, p = .030) were the two variables to significantly contribute to postpartum depressive symptoms. Conversely, only satisfaction with home care after delivery was independently associated with postpartum posttraumatic stress (ß = − 0.26, p = .016). The proposed model explained 21.8% of the variance of postpartum depressive symptoms (p = .041) and 27.1% of the variance of posttraumatic stress symptoms (p = .014). Conclusion: Special attention should be given to shared and unique predictive factors of PDD and PTSD to develop effective prevention programs in perinatal care.ca_CA
dc.format.extent9 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherSpringerca_CA
dc.relation.isPartOfArchives of Gynecology and Obstetrics, 2020ca_CA
dc.rights© Springer Nature Switzerland AG. Part of Springer Nature.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectpostpartum depressive symptomsca_CA
dc.subjectpostpartum posttraumatic stress symptomsca_CA
dc.subjectbiopsychosocialca_CA
dc.subjectstructural equation modelingca_CA
dc.titlePredicting postpartum post-traumatic stress and depressive symptoms in low-risk women from distal and proximal factors: a biopsychosocial prospective study using structural equation modelingca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1007/s00404-020-05857-z
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttps://link.springer.com/article/10.1007/s00404-020-05857-zca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameFondo de Investigaciones Sanitariasca_CA
project.funder.nameInstituto de Salud Carlos IIIca_CA
oaire.awardNumberPI07/0571ca_CA


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