Predicting postpartum depressive symptoms from pregnancy biopsychosocial factors: a longitudinal investigation using structural equation modeling
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Otros documentos de la autoría: Martínez-Borba, Verónica; Suso-Ribera, Carlos; Osma López, Jorge Javier; Andreu-Pejó, Laura
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Título
Predicting postpartum depressive symptoms from pregnancy biopsychosocial factors: a longitudinal investigation using structural equation modelingFecha de publicación
2020-11-14Editor
MDPIISSN
0196-2892; 1660-4601Cita bibliográfica
Martínez-Borba, Verónica; Suso-Ribera, Carlos; Osma, Jorge; Andreu-Pejó, Laura. 2020. "Predicting Postpartum Depressive Symptoms from Pregnancy Biopsychosocial Factors: A Longitudinal Investigation Using Structural Equation Modeling" Int. J. Environ. Res. Public Health 17, no. 22: 8445.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/1660-4601/17/22/8445Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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 ... [+]
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 (β = 1.97; p = 0.003) and positive
(β = −0.29; p < 0.001) and negative affect (β = 0.22; p = 0.024) at pregnancy remained significant
predictors of concurrent depression in the SEM, whereas only age (β = 0.27; p = 0.010) and depression
(β = 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. [-]
Publicado en
Int. J. Environ. Res. Public Health 2020, 17, 8445Proyecto de investigación
PREDOC/2018/43; S31_20D; SMP 45/2011; Fundación Universitaria Antonio Gargallo and the Obra Social Ibercaja, grant numbers 2013/B006 and 2014/B006.Derechos de acceso
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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