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基于结构方程模型的 COVID-19 大流行期间接受介入性产前诊断的孕妇的 COVID-19 认知、社会支持和心理健康的路径分析。

Path analysis of COVID-19 cognition, social support, and mental health of pregnant women with interventional prenatal diagnosis during the COVID-19 pandemic based on structural equation modeling.

机构信息

Department of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.

出版信息

Medicine (Baltimore). 2024 Aug 30;103(35):e39517. doi: 10.1097/MD.0000000000039517.

DOI:10.1097/MD.0000000000039517
PMID:39213196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11365645/
Abstract

This study aims to investigate the relationship between Corona Virus Disease 2019 (COVID-19) cognition, social support, and mental health among pregnant women proposed for undergoing interventional prenatal diagnosis in Sichuan Province during the COVID-19 pandemic. A total of 2270 pregnant women (2232 valid) who were proposed to undergo interventional prenatal diagnosis at a tertiary hospital prenatal diagnosis center in Sichuan Province from January to December 2022 were selected by Convenience sampling and surveyed using a self-administered general information questionnaire, social support rating scale, mental health questionnaire (including: Self-Rating Anxiety Scale, Self-Rating Depression Scale), and self-administered COVID-19 cognition questionnaire. Structural equation modeling showed that social support negatively predicted anxiety (β = -0.34, t = -14.98, P < .001) and negatively predicted depressive status (β = -0.21, t = -9.57, P < .001); COVID-19 cognition negatively predicted anxiety (β = -0.76, t = -5.34, P < .001) and depression (β = -0.40, t = -2.99, P < .01); anxiety positively predicted anxiety (β = 0.73, t = 37.34, P < .001). The overall knowledge rate of COVID-19 cognition among 2232 pregnant women who were to undergo interventional prenatal diagnosis was 76.40%. The fit indices of the model were: CMIN/DF = 3.071, GFI = 0.999, AGFI = 0.993, CFI = 0.999, RMSEA = 0.030, NFI = 0.998, and TLI = 0.992, indicating that the model had a good fit and the model was scientifically valid. Pregnant women in Sichuan province who are to undergo prenatal interventional diagnosis have a medium level of COVID-19 awareness, and their level of COVID-19 awareness and social support will directly affect their anxiety and depression level, and their anxiety level will also affect their depression level. We should give more attention to pregnant women, especially those in particular situations such as advanced age, poor maternal history, family history of genetic disease, etc, they should be given adequate care and social support, and multiple channels and types of health education should be provided for the COVID-19 to improve the pregnant women's knowledge of COVID-19, which is important for improving the mental health of pregnant women.

摘要

本研究旨在探讨 2019 年冠状病毒病(COVID-19)认知、社会支持与四川省拟行介入性产前诊断孕妇心理健康之间的关系。采用便利抽样法,选取 2022 年 1 月至 12 月在四川省某三级医院产前诊断中心拟行介入性产前诊断的 2270 名孕妇(2232 份有效问卷),采用一般情况问卷、社会支持评定量表、心理健康问卷(包括焦虑自评量表、抑郁自评量表)和 COVID-19 认知问卷进行调查。结构方程模型显示,社会支持负向预测焦虑(β=-0.34,t=-14.98,P<.001)和抑郁状态(β=-0.21,t=-9.57,P<.001);COVID-19 认知负向预测焦虑(β=-0.76,t=-5.34,P<.001)和抑郁(β=-0.40,t=-2.99,P<.01);焦虑正向预测焦虑(β=0.73,t=37.34,P<.001)。2232 名拟行介入性产前诊断的孕妇对 COVID-19 的总体认知率为 76.40%。模型的拟合指数为:CMIN/DF=3.071,GFI=0.999,AGFI=0.993,CFI=0.999,RMSEA=0.030,NFI=0.998,TLI=0.992,表明模型拟合良好,模型具有科学性。四川省拟行产前介入性诊断的孕妇对 COVID-19 的认知水平处于中等水平,其对 COVID-19 的认知水平和社会支持水平将直接影响其焦虑和抑郁水平,其焦虑水平也将影响其抑郁水平。我们应该更加关注孕妇,特别是高龄、不良孕产史、遗传病史等特殊情况的孕妇,给予她们充分的关爱和社会支持,并通过多种渠道和类型的健康教育,提高孕妇对 COVID-19 的认知水平,这对改善孕妇的心理健康具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f0/11365645/0dc951e3b5b8/medi-103-e39517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f0/11365645/0dc951e3b5b8/medi-103-e39517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f0/11365645/0dc951e3b5b8/medi-103-e39517-g001.jpg

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