Related Experiment Video
Updated: Mar 24, 2026

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
Published on: June 13, 2021
Prenatal predictors of postpartum depression and postpartum depressive symptoms in Mexican mothers: a longitudinal
María Asunción Lara1, Laura Navarrete2, Lourdes Nieto2
1Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Calzada México-Xochimilco 101, San Lorenzo Huipulco, 14370, Tlalpan, D.F., México. laracan@imp.edu.mx.
Prospective studies on the predictors of postpartum depression (PPD) in Latin America are scarce, which is a matter of importance, since the significance of PPD risk factors may vary according to the level of development of a country, the types of measurement and the time periods assessed. This study identifies the prenatal predictors for PPD (diagnostic interview) and postpartum depressive symptoms (PPDS) (self-report scale) in Mexican mothers at 6 weeks and 6 months postpartum. Two hundred and ten women were interviewed using the Structured Clinical Interview (SCID-I), Patient Health Questionnaire (PHQ-9) and various risk factor scales. Univariate logistic regressions showed that social support, marital satisfaction, life events, a history of psychopathology, anxiety symptoms, depressive symptoms, the traditional female role, previous miscarriages/termination of pregnancy and unplanned/unwanted pregnancy were significant predictors for both PPD and PPDS at both assessment times in the postpartum. Education, age, marital status, income, occupation, parity, C-section and resilience were significant for only one of the measurements and/or at just one assessment time. General findings replicate a high- and low-income country observed psychosocial risk profile and confirm a sociodemographic and obstetric profile of vulnerability that is more prevalent in resource-constrained countries. PPD constitutes a high burden for new mothers, particularly for those living in low-middle-income countries who face social disadvantages (such as low educational attainment and income).
Prospective studies on the predictors of postpartum depression (PPD) in Latin America are scarce, which is a matter of importance, since the significance of PPD risk factors may vary according to the level of development of a country, the types of measurement and the time periods assessed. This study identifies the prenatal predictors for PPD (diagnostic interview) and postpartum depressive symptoms (PPDS) (self-report scale) in Mexican mothers at 6 weeks and 6 months postpartum. Two hundred and ten women were interviewed using the Structured Clinical Interview (SCID-I), Patient Health Questionnaire (PHQ-9) and various risk factor scales. Univariate logistic regressions showed that social support, marital satisfaction, life events, a history of psychopathology, anxiety symptoms, depressive symptoms, the traditional female role, previous miscarriages/termination of pregnancy and unplanned/unwanted pregnancy were significant predictors for both PPD and PPDS at both assessment times in the postpartum. Education, age, marital status, income, occupation, parity, C-section and resilience were significant for only one of the measurements and/or at just one assessment time. General findings replicate a high- and low-income country observed psychosocial risk profile and confirm a sociodemographic and obstetric profile of vulnerability that is more prevalent in resource-constrained countries. PPD constitutes a high burden for new mothers, particularly for those living in low-middle-income countries who face social disadvantages (such as low educational attainment and income).
Related Concept Videos
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Depression: Overview
Psychological and Sociocultural Causes of Schizophrenia
Development of the Oral Microbiota
Regression Toward the Mean

