Association Between Sleep Quality and Self-Efficacy Trajectories Among Pregnant Women: A Parallel Process Latent Growth Curve Model

Xiaoxiao Mei, Yan Li, Xiaona Wu, Minyu Liang, Qianwen Chen, Limei Kang, Zengjie Ye

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Background: Sleep quality is essential for pregnant women and affects their self-efficacy. However, the longitudinal dynamics between these constructs, particularly regarding personality traits, are not well understood. This study aimed to examine the relationship between sleep quality and self-efficacy trajectories among pregnant women, as well as the role of maternal personality traits. Methods: A prospective cohort design was employed, utilizing consecutive sampling. Pregnant women were assessed at four-time points from early pregnancy to 42 days postpartum. Self-efficacy, sleep quality, and personality traits were evaluated using validated scales. Latent profile analysis and parallel process latent growth curve modeling were employed for data analysis. Results: Poorer initial sleep quality negatively predicted initial self-efficacy (β=−0.459, P<0.05) but positively predicted self-efficacy growth rate (β=0.383, P<0.05). Worsening sleep quality over time was associated with lower self-efficacy growth (β=−0.405, P<0.05). These relationships were significant only for women with mild emotional instability, not those with moderate emotional stability. Conclusion: Sleep quality and self-efficacy are closely linked among pregnant women, with maternal emotional stability moderating this association. Further research is warranted to elucidate the underlying mechanisms.

Original languageEnglish
Pages (from-to)1405-1419
Number of pages15
JournalNature and Science of Sleep
Volume17
DOIs
Publication statusPublished - 4 Jun 2025

Keywords

  • pregnant women
  • self efficacy
  • sleep quality

ASJC Scopus subject areas

  • Applied Psychology
  • Behavioral Neuroscience

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