Skip to main content

ORIGINAL RESEARCH article

Front. Psychol.
Sec. Health Psychology
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1481580

Sleep patterns and their associations with psychiatric symptoms among Chinese healthcare workers: a latent profile analysis

Provisionally accepted
Yingjun Xiang Yingjun Xiang *Shujuan Wei Shujuan Wei Xiaoya Sun Xiaoya Sun Weiting Yang Weiting Yang Yaohui Han Yaohui Han Xuanzhen Wu Xuanzhen Wu
  • Shenzhen Futian Center for Chronic Disease Control, Shenzhen, China

The final, formatted version of the article will be published soon.

    Background: Healthcare workers often encounter inadequate sleep conditions. However, limited research has examined the underlying sleep patterns among healthcare workers. This study aimed to identify sleep patterns in healthcare workers, explore predictors associated with various sleep patterns, and investigate the relationship between sleep patterns and psychiatric symptoms. Methods: This cross-sectional study was conducted in Shenzhen, China, from April 2023 to June 2023. In total, data from 1,292 participants were included using a convenience sampling method. A latent profile analysis was conducted to identify sleep patterns based on the seven dimensions of the Pittsburgh Sleep Quality Index. Multinomial logistic regression analysis was conducted to investigate the influence of socio-demographic variables on each profile. A one-way ANOVA test was employed to examine the relationships between sleep patterns and psychiatric symptoms. Results:Three distinct profiles were identified: good sleepers (63.9%), inefficient sleepers (30.3%), and poor sleepers (5.7%). Multinomial logistic regression analysis indicated that gender and marital status were predictors of various sleep patterns. The ANOVA revealed significant differences in psychiatric symptoms scores among the three sleep patterns; poor sleepers exhibited the highest levels of mental distress. Conclusions:This study identified three distinct sleep patterns in healthcare workers and their significant associations with psychiatric symptoms. These findings contribute to the development of targeted intervention strategies aimed at improving sleep and reducing psychiatric symptoms among healthcare workers.

    Keywords: Sleep patterns, latent profile analysis, psychiatric symptoms, Healthcare workers, China

    Received: 16 Aug 2024; Accepted: 01 Oct 2024.

    Copyright: © 2024 Xiang, Wei, Sun, Yang, Han and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yingjun Xiang, Shenzhen Futian Center for Chronic Disease Control, Shenzhen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.