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Prediction of peripartum depression by oxytocin levels, Edinburgh Postnatal Depression Scale scores and lack of social support: a prospective study

Year: 2025
Type: article
Study design: Observational Study
Abstract: Purpose This study aimed to determine predictive factors for peripartum depression (PPD).Methods We collected pre-natal sociodemographic data, blood markers and psychosocial questionnaires from 237 mothers. We detected the oxytocin (OXT) concentrations in saliva and administered the Edinburgh Postnatal Depression Scale (EPDS) within 1–2 days postpartum. The multivariable logistic regression analysis model was applied to analyze the factors related to PPD at 4 weeks postpartum. A nomogram model was constructed and evaluated.Results Multivariable logistic regression showed that OXT levels (OR = 0.984, 95% CI 0.971–0.997), EPDS scores (OR = 1.284, 95% CI 1.154–1.428), and lack of social support (OR = 3.562, 95% CI 1.444–8.784) were predictive factors for PPD (all p < 0.05). A nomogram model was constructed based on these factors. The model’s C-index was 0.846 (95% CI 0.777–0.908). The calibration curve indicated good agreement between the predicted probabilities of PPD and the actual probabilities (Hosmer-Lemeshow test p = 0.928). The area under the Receiver Operating Characteristic (ROC) curve was 0.820 (95% CI 0.749–0.891). The results of the decision curve analysis showed that the model had good clinical utility.Conclusions The predictive model can be used to identify high-risk parturients of PPD early.
DOI: 10.1080/0167482x.2025.2519381
Language: English
Field: Medicine
Open Access status: diamond
OpenAlex ID: W4411458268
FWCI: 4.247
Cites: 44
Cited by: 5
Related to: 10