Pan Jinhua, Zhu Xiaodan, Xu Lei, Zhou Linyu, Yin Shanyu, Qi Xiajin, Li Qiang, Liu Jingqi, Lu Danlei, Xu Zihang, Zhou Pingping, Jiang Jian, Lin Xiaoyu, Jiang Tian'an
Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Department of Ultrasound Medicine, Affiliated Jinhua Hospital Zhejiang University School of Medicine, Jinhua, Zhejiang, P.R. China.
Transl Psychiatry. 2025 Apr 7;15(1):131. doi: 10.1038/s41398-025-03363-x.
This study aims to uncover the mechanisms and quantitative dose response relationships among sleep quality, anxiety, depression and miscarriage, as well as develop a comprehensive predictive model for the miscarriage rate. In this study, 1058 pregnant women in mainland China were recruited. We utilized both univariate, multivariate analyses and sensitivity analysis to investigate the relationship between sleep quality, anxiety, depression, and miscarriage. Then, we used mediation analysis and directed acyclic graph to explore how anxiety and sleep quality mediate the relationship between depression and miscarriage. We employed restricted cubic spline (RCS) to examine the dose-response relationship between these variables and constructed a nomogram model for predicting the occurrence of miscarriages. During our investigation, 16.4% of the participant had a miscarriage. Our results showed a significant association between sleep quality, anxiety, depression and miscarriage both unadjusted and multivariable multinomial logistic regression. Dose-response relationships showed that the miscarriage rate slowly increases with increasing PSQI, SAS and SDS scores at first. However, when a certain threshold is reached, even slight increases in the scores will lead to a sharp rise in the miscarriage rate. Anxiety mediated the effect of depression on miscarriage by 44% and sleep quality had a similar mediation effect (16%). The quantitative dose response relationships between PSQI, SAS, SDS, and the miscarriage rate are all positive. In the impact of depression on the miscarriage rate, anxiety and sleep quality also play significant mediating roles. By revealing high-risk pregnant women, early intervention can be provided, aiming to reduce the miscarriage rate.
本研究旨在揭示睡眠质量、焦虑、抑郁与流产之间的机制及定量剂量反应关系,并建立流产率的综合预测模型。在本研究中,招募了中国大陆的1058名孕妇。我们采用单变量、多变量分析及敏感性分析来研究睡眠质量、焦虑、抑郁与流产之间的关系。然后,我们使用中介分析和有向无环图来探讨焦虑和睡眠质量如何介导抑郁与流产之间的关系。我们采用限制立方样条(RCS)来检验这些变量之间的剂量反应关系,并构建了预测流产发生的列线图模型。在我们的调查中,16.4%的参与者发生了流产。我们的结果显示,在未调整和多变量多项逻辑回归中,睡眠质量、焦虑、抑郁与流产之间均存在显著关联。剂量反应关系表明,流产率起初随着PSQI、SAS和SDS评分的增加而缓慢上升。然而,当达到一定阈值时,即使评分稍有增加也会导致流产率急剧上升。焦虑介导抑郁对流产的影响达44%,睡眠质量也有类似的中介作用(16%)。PSQI、SAS、SDS与流产率之间的定量剂量反应关系均为正相关。在抑郁对流产率的影响中,焦虑和睡眠质量也起着显著的中介作用。通过识别高危孕妇,可提供早期干预,旨在降低流产率。