97149 20240319080945.0 doi 10.3390/ijerph17228445 sideral 121123 ART-2020-121123 eng Martínez-Borba, V. (orcid)0000-0003-2082-8115 Predicting postpartum depressive symptoms from pregnancy biopsychosocial factors: A longitudinal investigation using structural equation modeling 2020 Access copy available to the general public Unrestricted The prediction of postpartum depression (PPD) should be conceptualized from a biopsychosocial perspective. This study aims at exploring the longitudinal contribution of a set of biopsychosocial factors for PPD in perinatal women. A longitudinal study was conducted, assessment was made with a website and included biopsychosocial factors that were measured during pregnancy (n = 266, weeks 16–36), including age, affective ambivalence, personality characteristics, social support and depression. Depression was measured again at postpartum (n = 101, weeks 2–4). The analyses included bivariate associations and structural equation modeling (SEM). Age, affective ambivalence, neuroticism, positive, and negative affect at pregnancy were associated with concurrent depression during pregnancy (all p < 0.01). Age, affective ambivalence, positive affect, and depression at pregnancy correlated with PPD (all p < 0.05). Affective ambivalence (ß = 1.97; p = 0.003) and positive (ß = -0.29; p < 0.001) and negative affect (ß = 0.22; p = 0.024) at pregnancy remained significant predictors of concurrent depression in the SEM, whereas only age (ß = 0.27; p = 0.010) and depression (ß = 0.37; p = 0.002) at pregnancy predicted PPD. Biopsychosocial factors are clearly associated with concurrent depression at pregnancy, but the stability of depression across time limits the prospective contribution of biopsychosocial factors. Depression should be screened early during pregnancy, as this is likely to persist after birth. The use of technology, as in the present investigation, might be a cost-effective option for this purpose. info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón info:eu-repo/grantAgreement/ES/DGA-FEDER/S31-20D info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.39 2020 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 41 / 175 = 0.234 2020 Q1 T1 ENVIRONMENTAL SCIENCES 118 / 273 = 0.432 2020 Q2 T2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 68 / 202 = 0.337 2020 Q2 T2 0.747 2020 Health, Toxicology and Mutagenesis 2020 Q2 Public Health, Environmental and Occupational Health 2020 Q2 Pollution 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Suso-Ribera, C. Osma, J. Universidad de Zaragoza (orcid)0000-0002-7293-318X Andreu-Pejó, L. 4009 680 Universidad de Zaragoza Dpto. Psicología y Sociología Área Person.Eval.Trat.Psicoló. 17, 22 (2020), 8445 [15 pp.] Int. j. environ. res. public health International journal of environmental research and public health 1661-7827 564289 http://zaguan.unizar.es/record/97149/files/texto_completo.pdf Versión publicada 502614 http://zaguan.unizar.es/record/97149/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:97149 articulos driver 2024-03-18-12:31:22 ARTICLE