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

IF 2.1 3区医学 Q2 OBSTETRICS & GYNECOLOGY

Journal of Psychosomatic Obstetrics & Gynecology Pub Date : 2025-12-01 Epub Date: 2025-06-19 DOI:10.1080/0167482X.2025.2519381

Yanyan Lu, Xiaoxuan Qi, Qing Cheng, Jing Sun

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引用次数: 0

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.

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催产素水平、爱丁堡产后抑郁量表评分和缺乏社会支持对围生期抑郁的预测：一项前瞻性研究

目的：探讨围生期抑郁（PPD）的预测因素。方法：收集237名母亲的产前社会人口学资料、血液指标和心理社会问卷。我们在产后1-2天内检测唾液中的催产素（OXT）浓度并进行爱丁堡产后抑郁量表（EPDS）。采用多变量logistic回归分析模型分析产后4周PPD的相关因素。建立了nomogram模型并对其进行了评价。结果：多变量logistic回归显示，OXT水平（OR = 0.984, 95% CI 0.971 ~ 0.997）、EPDS评分（OR = 1.284, 95% CI 1.154 ~ 1.428）、缺乏社会支持（OR = 3.562, 95% CI 1.444 ~ 8.784）是PPD的预测因素（均p = 0.928）。受试者工作特征（ROC）曲线下面积为0.820 （95% CI 0.749 ~ 0.891）。决策曲线分析结果表明，该模型具有良好的临床应用价值。结论：该预测模型可用于早期识别PPD高危产妇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Psychosomatic Obstetrics & Gynecology 医学-妇产科学

CiteScore

6.10

自引率

3.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Psychosomatic Obstetrics and Gynecology was founded in 1982 in order to provide a scientific forum for obstetricians, gynecologists, psychiatrists and psychologists, academic health professionals as well as for all those who are interested in the psychosocial and psychosomatic aspects of women’s health. Another of its aims is to stimulate obstetricians and gynecologists to pay more attention to this very important facet of their profession.