ArticleDepression and anxiety2024
Remission or Persistence? A Prediction Tool to Identify Women at Risk for Long-Term Depressive Symptoms Postpartum.
Article in Depression and anxiety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Risk factors for treatment resistance among women with postpartum depression in a nationwide study.Nature. Mental health · 2026Article
- A mixed-methods study protocol: Perinatal depression screening systems and outcomes in obstetrics clinics.PloS one · 2025Article
- A method for predicting postpartum depression via an ensemble neural network model.Frontiers in public health · 2025Article
- Navigating promise and perils: applying artificial intelligence to the perinatal mental health care cascade.npj health systems · 2025Review
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Authors and funding
7 authors.
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Abstract
Background: Peripartum depression is a common complication with potential long-term adverse effects on the woman and her family. Approximately 30%-50% of newly delivered women experience prolonged depressive symptoms at 6-12 months postpartum. Early detection may facilitate preventive and treatment interventions. Aim: To investigate correlates for and create a tool for predicting long-term symptomatology in women experiencing depressive symptoms at 6 weeks postpartum. Materials and Methods: Data from the Biology, Affect, Stress, Imaging, and Cognition study was used, to identify women who scored high (≥12) on the Edinburgh Postnatal Depression Scale (EPDS) at 6 weeks postpartum ( Results: High education level and sleep for more than 6 hr per night in pregnancy week 17 were protective factors. Parity, pregnancy complications, stressful events, attention deficit hyperactivity disorder/attention deficit disorder, history of depression, depressive symptoms, and anxiety during pregnancy were predictive factors of prolonged depressive symptoms. A prediction tool with area under curve 0.73 and positive predictive value of 79%-83% depending on chosen EPDS cutoff was developed for clinical use. Conclusions: Our prediction tool offers a method to identify women at risk for persisting depressive symptoms postnatally, based on their significant depressive symptoms during the first weeks after delivery. Screening in order to identify these women can already start in the antenatal setting.
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