Influencing factors associated with mental workload among nurses: A latent profile analysis.

ABSTRACT:

Objective

This study aimed to examine the latent profile of nurses' mental workload (MWL) and explore the influencing factors via a person-centred approach.

Methods

From March to July 2023, a quantitative cross-sectional study was carried out to investigate 526 Chinese clinical nurses from five tertiary hospitals in Sichuan Province, China, by using demographic information, the Perceived Social Support Scale, Simplified Coping Skill Questionnaire, and NASA-Task Load Index. Latent profile analyses were performed using Mplus 7.3 software. Pearson's chi-squared and logistic regression analysis was done using SPSS 24.0 software.

Results

Three profiles of mental workload were identified based on the nurses' responses to the mental workload assessment, designated as "low MW

SUBMITTER: Jin M 

PROVIDER: S-EPMC11329065 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature