ArticleWorld journal of psychiatry2023
Analysis of influencing factors and the construction of predictive models for postpartum depression in older pregnant women.
Article in World journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Prevalence and determinants of postpartum depression among postnatal clinic attendees at the Gwarinpa General Hospital, Abuja, Nigeria.The Pan African medical journal · 2026Article
- A method for predicting postpartum depression via an ensemble neural network model.Frontiers in public health · 2025Article
- Prevalence and factors influencing postpartum depression and its culture-specific cutoffs for women in Asia: a scoping review.Ewha medical journal · 2025Review
- Article
- Relationship between gestational body mass index, blood pressure variability, and postpartum depression in pregnant women with pre-eclampsia.World journal of psychiatry · 2024Article
- Research fronts and researchers ofWorld journal of psychiatry · 2024Article
- Comparing the prevalence and influencing factors of postpartum depression in primiparous and multiparous women in China.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChanges in China's fertility policy have led to a significant increase in older pregnant women. At present, there is a lack of analysis of influencing factors and research on predictive models for postpartum depression (PPD) in older pregnant women.
aimTo analysis the influencing factors and the construction of predictive models for PPD in older pregnant women.
methodsBy adopting a cross-sectional survey research design, 239 older pregnant women (≥ 35 years old) who underwent obstetric examinations and gave birth at Suzhou Ninth People's Hospital from February 2022 to July 2023 were selected as the research subjects. When postpartum women of advanced maternal age came to the hospital for follow-up 42 d after birth, the Edinburgh PPD Scale (EPDS) was used to assess the presence of PPD symptoms. The women were divided into a PPD group and a no-PPD group. Two sets of data were collected for analysis, and a prediction model was constructed. The performance of the predictive model was evaluated using receiver operating characteristic (ROC) analysis and the Hosmer-Lemeshow goodness-of-fit test.
resultsOn the 42
conclusionThe risk of PPD among older pregnant women is influenced by educational level, family relationships, pregnancy complications, and the separation of the mother and baby after birth. A prediction model based on these factors can effectively predict the risk of PPD in older pregnant women.
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