Observational studyWomen's health (London, England)
Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis.
Observational study in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Traditional Chinese medicine health literacy and depressive symptoms in postpartum women: the sequential mediating effects of social support and self-efficacy.Frontiers in public health · 2026Article
- Prevalence and factors associated with postpartum depressive symptoms among mothers who gave birth within the past 12 months in Ghana: mixed-method study.BJPsych open · 2025Article
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9 authors.
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Abstract
backgroundPostpartum depression is a significant public health challenge. Understanding the predictors of postpartum depression can inform targeted interventions and support systems for new mothers.
objectivesTo identify and quantify sociodemographic and obstetric predictors of postpartum depression among mothers in Kumasi, Ghana.
designA cross-sectional multicenter prospective study.
methodsA total of 502 postpartum mothers from five hospitals were included. Bayesian logistic regression analysis was used to assess model uncertainty and complex interactions between sociodemographic, economic, and obstetric factors on postpartum depression.
resultsThe pooled prevalence of postpartum depression was 25% (range 13% to 31%). Education attainment [coefficient = -0.43, 95% credible interval: -0.57 to -0.29, (adjusted odds ratio (aOR) = 0.65] and economic support from multiple earning members (coefficient = -0.28, 95% credible interval: -0.33 to -0.22, aOR = 0.75) substantially reduced the likelihood of postpartum depression. Being a single mother (coefficient = 0.34, 95% credible interval: 0.24 to 0.44, aOR = 1.40) increased the risk of postpartum depression. Planned pregnancies (coefficient = -0.25, 95% credible interval: -0.28 to -0.21, aOR = 0.78), doing physical exercise (coefficient = -0.26, 95% credible interval: -0.30 to -0.23, aOR = 0.77), and exclusive breastfeeding (coefficient = -0.23, 95% credible interval: -0.28 to -0.19, aOR = 0.79) were protective factors for postpartum depression. On the other hand, cesarean sections (coefficient = 0.34, 95% credible interval: 0.24 to 0.43, aOR = 1.40) and spontaneous vaginal deliveries (coefficient = 0.56, 95% credible interval: 0.47 to 0.65, aOR = 1.75) increased the risk of postpartum depression.
conclusionOur findings emphasize the importance of identifying modifiable predictors of postpartum depression, including sociodemographic, economic, and obstetrical factors, in Kumasi, Ghana. Interventions addressing these factors, such as financial support programs, maternal education, and physician training, may significantly reduce the regional burden. Policies tailored to low-resource contexts and exhibiting local cultural sensitivity are needed for enhancing maternal-child health outcomes in Ghana and comparable regions.
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