Prediction models for sleep quality among frontline medical personnel during the COVID-19 pandemic: cross-sectional study based on internet new media.

ABSTRACT:

Background

The factors associated with sleep quality among medical personnel providing support on the frontline during the height of the COVID-19 pandemic remain unclear, and appropriate predictive and screening tools are lacking. This study was designed and conducted to investigate whether factors such as weight change, job title, and tea consumption influence the sleep quality of these workers. Additionally, the study aims to develop predictive models to analyze the sleep problems experienced by healthcare workers during periods of epidemic instability, and to provide relevant data and tools to support effective intervention and prevention strategies.

Methods

A cross-sectional study was conducted from June 25 to July 14, 2022, using a self-administered general information

SUBMITTER: Huang S 

PROVIDER: S-EPMC11978626 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature