ArticleFrontiers in public health2025
Postpartum depression in Northeastern China: a cross-sectional study 6 weeks after giving birth.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The association between seeing the stillborn baby and risk of postpartum depression and anxiety in Chinese women undergoing pregnancy termination: a prospective cohort study.BMC pregnancy and childbirth · 2026Article
- Preventive effect of transcutaneous auricular vagus nerve stimulation on postpartum depression in cesarean women with antenatal depressive tendency: a randomized controlled trial protocol.BMC pregnancy and childbirth · 2026Article
- Postpartum depression risk prediction using explainable machine learning algorithms.Frontiers in medicine · 2025Article
- Effect of Propofol on Postoperative Sleep Quality in Patients Undergoing Elective Cesarean Section with Spinal Anesthesia:A Retrospective Cohort Study Using Propensity Score Matching at a Single Center.Nature and science of sleep · 2025Article
- Determinants of early lactation failure in mothers of moderately preterm neonates: a multilevel analysis of survey data.Frontiers in nutrition · 2025Article
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Abstract
Introduction: Postpartum depression (PPD) is a prevalent mental health issue that poses significant challenges to maternal wellbeing and infant development. We aimed to determine the prevalence of PPD and to investigate its associated determinants and predictors in in Shenyang, China. Methods: This cross-sectional study, conducted between January and December 2021, included 1,065 postpartum women in Shenyang, China, at 6 weeks postpartum. PPD was screened using the Edinburgh Postnatal Depression Scale (EPDS, score ≥ 9). Key risk factors were identified through machine learning techniques, including LASSO regression and the Boruta algorithm, and their associations were evaluated using logistic regression. Non-linear relationships for continuous variables were examined using restricted cubic splines and threshold effect analysis. Feature importance was ranked via a random forest model based on the change in ROC-AUC after predictor removal. Statistical significance was defined as Results: A total of 1,065 postpartum mothers were included in this study, of whom 23.57% were identified as having postpartum depressive symptoms. Significant risk factors included prenatal anxiety (OR = 7.16, 95% CI: 4.67-11.11), poor sleep quality (OR = 5.30, 95% CI: 3.45-8.20), poor marital relationships (OR = 4.41, 95% CI: 2.47-7.99), poor in-law relationships (OR = 4.89, 95% CI: 3.11-7.74), unplanned pregnancy (OR = 2.92, 95% CI: 2.01-4.27), and lack of prenatal education (OR = 1.7, 95% CI: 1.15-2.52). A non-linear relationship was observed with gestational weight gain: gains <11 kg were associated with reduced risk (OR = 0.91, 95% CI: 0.83-0.99), whereas gains >11 kg increased risk (OR = 1.06, 95% CI: 1.02-1.10). Other factors included smoking history (OR = 1.8, 95% CI: 1.08-2.98) and expected fetal sex (OR = 3.39, 95% CI: 2.02-5.70). Conclusion: PPD affects a significant proportion of postpartum women in Shenyang, China. Routine screening and targeted interventions are essential to identify and support high-risk individuals with PPD.
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