A cross-sectional study on sleep disturbances and associated factors among nurses

Tuan Van Nguyen, Hsueh Erh Liu*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

8 Scopus citations

Abstract

Background: Many studies have measured sleep disturbances among nurses globally, but none have addressed this issue in Vietnam. Therefore, this study aimed to assess the prevalence of sleep disturbance and identify associated factors among staff nurses in Vietnam. To identify sleep disturbances and associated factors among staff nurses in Vietnam. Methods: A cross-sectional design was used in this study. Participant nurses (n = 420) completed a general information questionnaire, the Vietnamese version of the General Sleep Disturbance Scale (GSDS), the Perceived Stress Scale, and the Short Form 12. Data were collected between July and September 2019 from three public hospitals located in southwestern Vietnam. Data were analyzed using Chi-square, independent Student’s t-test, and multivariate logistic regression analysis. Results: The average GSDS score was 41.10 (SD = 19.48), indicating sleep disturbances among 46.9% of nurses. Age, health condition, stress, and quality of life had an impact on sleep disturbance. Multivariate logistic regression analysis confirmed that nurses with high stress and poor physical health status were more likely to experience sleep disturbances. Conclusion: Vietnamese nursing staff suffers from a high rate of sleep disturbances. Significant predictors included high stress and poor physical health status. Administrators of healthcare services should carefully consider how to conduct interventions to help the nurses handle their sleep disturbances such as stress management and physical health promotion.

Original languageEnglish
Article number119
JournalBMC Psychiatry
Volume22
Issue number1
DOIs
StatePublished - 12 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Keywords

  • Nurses
  • Risk factors
  • Sleep disturbance
  • Sleep quality
  • Vietnam

Fingerprint

Dive into the research topics of 'A cross-sectional study on sleep disturbances and associated factors among nurses'. Together they form a unique fingerprint.

Cite this