孕早期心理健康与自然流产风险:一项前瞻性队列研究。

IF 1.3 Q3 PSYCHIATRY Alpha psychiatry Pub Date : 2024-09-01 DOI:10.5152/alphapsychiatry.2024.241682
Junqing Li, Wenna Fan, Xiang Wang, Xuetao Hou, Zhijing Chen, Min Lv
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引用次数: 0

摘要

目的:本研究旨在探讨孕早期产妇心理健康与自然流产(SA)风险之间的关系:本研究旨在探讨孕早期孕产妇心理健康与自然流产(SA)风险之间的关系,尤其是在2019年冠状病毒病大流行的背景下:我们开展了一项前瞻性队列研究,2022 年 1 月至 12 月期间,中国一家妇幼保健医院共收治了 4088 名孕妇。在妊娠头三个月,我们使用抑郁、焦虑和压力量表(DASS-21)评估了孕妇的抑郁、焦虑和压力水平。我们对妊娠结果进行了监测,并进行了单变量和多重逻辑分析以确定风险因素。然后利用这些因素建立了一个提名图模型:结果:SA 组(n = 302)与正常妊娠组(n = 3786)在孕妇年龄、胚胎停育次数、流产史、辅助生殖史和环境暴露方面存在显著差异。在对潜在的混杂因素进行调整后,DASS-21 分量表上较高的得分与 SA 风险的增加独立相关:抑郁(OR [Odds Ratio] = 1.54,95% CI [Confidence Interval]: 1.39-1.71,P < .001)、焦虑(OR = 1.61,95% CI: 1.44-1.80,P < .001)和压力(OR = 1.69,95% CI: 1.31-2.20,P < .001)。该模型的一致性指数为 0.87(95% CI:0.86-0.90),并显示出拟合良好的校准曲线,表明其具有良好的临床适用性:结论:我们的研究结果表明,精神健康状况与 SA 风险的增加密切相关。结论:我们的研究结果表明,精神健康状况与 SA 风险的增加密切相关,提名图模型也表现出很高的预测准确性,表明其在临床环境中具有潜在的实用性。
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Mental Health in Early Pregnancy and Spontaneous Abortion Risk: A Prospective Cohort Study.

Objective: This study aims to explore the relationship between maternal mental health during early pregnancy and the risk of spontaneous abortion (SA), especially in the context of the Coronavirus disease 2019 pandemic.

Methods: We conducted a prospective cohort study involving 4088 pregnant women at a maternal-child health hospital in China from January to December 2022. During the first trimester, we assessed depression, anxiety, and stress levels using the Depression, Anxiety, and Stress Scale (DASS-21). Pregnancy outcomes were monitored, and univariate and multiple logistic analyses were performed to identify the risk factors. These factors were then used to develop a nomogram model.

Results: Significant differences were found in maternal age, number of embryonic arrests, history of abortion, assisted reproduction, and environmental exposure between the SA group (n = 302) and the normal pregnancy group (n = 3786). After adjusting for potential confounders, higher scores on the DASS-21 subscales were independently associated with an increased risk of SA: Depression (OR [Odds Ratio]  = 1.54, 95% CI [Confidence Interval]: 1.39-1.71, P < .001), Anxiety (OR = 1.61, 95% CI: 1.44-1.80, P < .001), and Stress (OR = 1.69, 95% CI: 1.31-2.20, P < .001). The model achieved a concordance index of 0.87 (95% CI: 0.86-0.90) and demonstrated a well-fitted calibration curve, indicating its good clinical applicability.

Conclusion: Our findings indicate that mental health conditions are significantly associated with an increased risk of SA. The nomogram model also demonstrated strong predictive accuracy, indicating its potential usefulness in clinical settings.

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