Predictive Factors of Postpartum Depression in First-time Mothers A Cross-Sectional Study
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Abstract
Purpose: To determine the predictive powers of age, income, type of delivery, COVID-19 disease, stress, intimate partner violence, and social support on postpartum depression in first-time mothers.
Design: Predictive correlational design.
Methods: The sample consisted of 227 first-time mothers at 4-6 weeks post-partum, recruited from the family planning clinic at a tertiary hospital in Bangkok. Data were collected by using the Personal Information Questionnaire, the Thai Perceived Stress Scale, the Abuse Assessment Screen, and the Multidimensional Scale of Perceived Social Support, respectively. Data were analyzed by using descriptive statistics, Pearson’s and point biserial correlation coefficients, and multiple linear regression analysis.
Main findings: All factors accounted for 88% of the variance in postpartum depression (R2 = .88). Significant predictors of postpartum depression among first-time mothers included age (β = .49, p < .001), stress (β = .28, p < .001), COVID-19 diagnosis during pregnancy (β = .14, p < .001), type of delivery (β = .09, p < .001), and social support (β = - .07, p < .05).
Conclusion and recommendations: The findings of this study can inform screening and risk assessment for postpartum depression in first-time mothers, and support mental health care planning by midwives.
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