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dc.contributor.authorAndreu-Pejó, Laura
dc.contributor.authorMartínez-Borba, Verónica
dc.contributor.authorSuso-Ribera, Carlos
dc.contributor.authorOsma López, Jorge Javier
dc.date.accessioned2020-07-16T06:57:30Z
dc.date.available2020-07-16T06:57:30Z
dc.date.issued2020-05-14
dc.identifier.citationAndreu-Pejó, L.; Martínez-Borba, V.; Suso-Ribera, C.; Osma, J. Can We Predict the Evolution of Depressive Symptoms, Adjustment, and Perceived Social Support of Pregnant Women from Their Personality Characteristics? a Technology-Supported Longitudinal Study. Int. J. Environ. Res. Public Health 2020, 17, 3439.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/189161
dc.description.abstractBackground: Research exploring the relationship between personality and important pregnancy outcomes (i.e., depressive symptoms, adjustment, and perceived social support) tends to be cross-sectional, arguably due to the difficulties of conducting longitudinal and mental health research in this population. The objective of this study is to use a web-based solution to longitudinally explore how personality traits are associated, not only with the co-occurrence of these outcomes but also with their evolution during pregnancy. Stability and change of these outcomes will also be investigated. Methods: The sample included 85 pregnant women attending several medical centers in Spain. The web-based assessment included sociodemographic and obstetric variables (ad hoc) and personality (at the second trimester only), and outcomes at both the second and the third trimester (i.e., depressive symptoms, adjustment, and perceived social support). Results: The results showed that adjustment worsened from the second to the third trimester of pregnancy. Neuroticism (N), low extraversion (E), and psychoticism (P) were cross-sectionally and longitudinally associated with outcomes. In addition, N and, to a lesser extent P, uniquely contributed to the evolution of these outcomes in the multivariate analyses, including autoregressions. Conclusion: Personality and especially N and P should be evaluated early during pregnancy mental health screening. The use of a web page appears to be a useful tool for that purpose. Technologies might also help disseminate mental health prevention programs for these women, which would be especially recommended d for those with a personality profile characterized by high N and P and, to a lesser extent, low E.ca_CA
dc.format.extent15 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).ca_CA
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectinformation and communication technologiesca_CA
dc.subjectpregnancyca_CA
dc.subjectpersonalityca_CA
dc.subjectdepressionca_CA
dc.subjectadjustmentca_CA
dc.subjectsocial supportca_CA
dc.titleCan we predict the evolution of depressive symptoms, adjustment, and perceived social support of pregnant women from their personality characteristics? A technology-supported longitudinal studyca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/ijerph17103439
dc.relation.projectIDUniversitat Jaume I (grant number Predoc/2018/43) ; Gobierno de Aragon (Departamento de Innovacion, Investigación y Universidad) and Feder 2014–2020 “Construyendo Europa Desde Aragón” research group (grant S31_20D) ; Conselleria de Sanidad (Agencia Valenciana de Salud) (grant number SMP 45/2011) ; Fundación Universitaria Antonio Gargalo and the Obra Social Ibercaja (grant numbers 2013/B006 and 2014/B006).ca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.mdpi.com/1660-4601/17/10/3439ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).