Work addiction in nurses: A cross-sectional correlational study of latent profile analysis and burnout

Abstract

Objective To identify the distinct profiles of work addiction among clinical nurses, examine the demographic factors associated with profile memberships, and then explore the relationship between latent categories of work addiction and job burnout. Methods Latent Characteristic Analysis (LPA) was used to identify the different characteristics of nurses' work addiction from five dimensions: emotional restraint, work focus, busyness, results-oriented, and self-focused. The study employed binary logistic regression analysis to investigate the factors associated with various job addiction profiles. Stratified regression analyses were used to verify the correlation between general personal data and job burnout and job addiction. Results The study identified two possible attributes of nurse work addiction: the low addiction group (level 1) and the high addiction group (level 2). These two groups comprised 67.9% and 32.1%, respectively, of the entire sample of nurses. The work addiction categories of clinical nurses were found to be influenced by nurses' job titles and emotional exhaustion (P<0.05). Additionally, distinct work addiction categories were found to be significant predictors of nurses' burnout, which could account for the 18.70% variation in clinical nurses' work addiction independently. Conclusions Work addiction has an important predictive effect on burnout in clinical nurses. hospital administrators should actively monitor nurses who exhibit a high degree of work addiction and implement focused interventions to reduce the degree of burnout of nurses and ensure the quality of nursing work.