title: Predicting postpartum depressive symptoms: a structural modelling analysis.
abstract: In this prospective, longitudinal study, 42 first-time mothers, recruited through prenatal classes, were assessed on variables predictive of postpartum depressive symptoms. Using a causal modelling structural analysis, it was found that prenatal depression, partners' support, and infant-related factors all contributed to the development of depression following childbirth.
authors.affiliation: Department of Psychology, University of Manitoba, Winnipeg, Canada.
authors.forename: L A
authors.initials: LA
authors.lastname: Graff
authors.forename: D G
authors.initials: DG
authors.lastname: Dyck
authors.forename: J R
authors.initials: JR
authors.lastname: Schallow
mesh_terms: D000328:Adult; D003863:Depression / Q000175:diagnosis* / Q000523:psychology; D005260:Female; D006801:Humans; D007223:Infant; D008137:Longitudinal Studies; D015233:Models, Statistical; D009034:Mother-Child Relations; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011446:Prospective Studies; D011594:Psychometrics; D011644:Puerperal Disorders / Q000175:diagnosis* / Q000523:psychology; D012307:Risk Factors