Fear of childbirth and sleep quality among pregnant women: a generalized additive model and moderated mediation analysis

孕妇分娩恐惧与睡眠质量:广义加性模型和调节中介分析

阅读:1

Abstract

OBJECTIVES: This study aims to examine the associations among fear of childbirth, psychological distress, resilience, and sleep quality among Chinese pregnant women. METHODS: A cross-sectional survey was carried out between January 2022 to March 2022 among pregnant women who met the inclusion criteria and sought healthcare services at The First Affiliated Hospital of Guangzhou University of Chinese Medicine in Guangdong Province, Southern China. Data was collected using a structured questionnaire that included sociodemographic characteristics, childbirth attitudes questionnaires (CAQ), hospital anxiety and depression scale (HADS), Connor-Davidson resilience scale (CD-RISC), and Pittsburgh sleep quality index (PSQI). A generalized additive model and moderated mediation analysis were employed for data analysis. RESULTS: A non-linear and negative association between fear of childbirth and sleep quality was found in the second trimester and antenatal period. Psychological distress significantly mediated the relationship between fear of childbirth and sleep quality (first trimester: β = 0.044, 95%CI:0.022-0.071; second trimester: β = 0.029, 95%CI:0.009-0.056; third trimester: β = 0.064, 95%CI:0.046-0.088; antenatal period: β = 0.050, 95%CI:0.037-0.063). The moderating role of resilience between fear of childbirth and sleep quality was significant (second trimester: β=-0.006, 95%CI:-0.012-0.001, P = 0.025; antenatal period: β=-0.004, 95%CI:-0.007--0.001, P = 0.014), as well as between fear of childbirth and psychological distress (first trimester: β=-0.016, 95%CI:-0.026--0.005, P = 0.004; antenatal period: β=-0.005, 95%CI:-0.009--0.001, P = 0.014). CONCLUSIONS: Fear of childbirth, psychological distress, and resilience are three important factors affecting sleep quality in Chinese pregnant women.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。