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

This study aimed to examine the latent profile of nurses' mental workload (MWL) and explore the influencing factors via a person-centred approach. 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. Three profiles of mental workload were identified based on the nurses’ responses to the mental workload assessment, designated as “low MWL-high self-rated (n = 70, 13.3%)”, “moderate MWL (n = 273, 51.9%)”, and “high MWL-low self-rated (n = 183, 34.8%)”. Based on the analysis of the three subtypes, nurses with working years < 5 years (χ2 = 12.135, P