General Self-Efficacy Among Pregnant Women Attending Antenatal Care Units in Tunisia and Its Association with Family Quality of Life: A Multicenter Cross-Sectional Study

突尼斯产前保健中心孕妇的总体自我效能及其与家庭生活质量的关系:一项多中心横断面研究

阅读:3

Abstract

Background/Objectives: General-self efficacy (GSE) is a substantial element during pregnancy that promotes healthy decision-making and prevents complications. Information on predictive factors of GSE among pregnant women is limited. This study aimed to assess the GSE among pregnant women and identify its relationship with family quality of life (FQOL) domains in a lower-middle-income community. Methods: This cross-sectional analytical study was conducted in nine antenatal care centers from July 2024 to March 2025. Pregnant women were enrolled through the multiple stage sampling method. GSE in pregnant women was assessed using the General Self-efficacy Scale. FQOL was assessed using the Beach Center Family Quality of Life Scale. Univariable and multivariable linear regression analyses were performed to assess predictors of GSE among pregnant women. Results: A total of 417 pregnant women participated in the study. The prevalence of low GSE was 12.2%. Multivariable linear regression showed that older age (p = 0.02), rural area (p = 0.007), and planned pregnancy (p = 0.03) were predictors of GSE among pregnant women. The total score of FQOL (p = 0.0001), parenting (p = 0.004), and material well-being (p = 0.043) were positive determinant factors of GSE in pregnant women who have at least one child. Conclusions: The prevalence of low general self-efficacy (GSE) among pregnant women was notably high, particularly among those with at least one child. Education regarding family planning, parenting, and financial management through multidisciplinary, family-centered care teams is essential to address the complex needs of expectant families.

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。