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Well-Being at Work: Burnout and Engagement Profiles of University Workers.

Pablo González-RicoEloísa Guerrero-BaronaMaria José ChambelMónica Guerrero-Molina
Published in: International journal of environmental research and public health (2022)
The main objective of this study is to analyze well-being at work, considering burnout and engagement distributed in profiles, and to observe how they relate to well-being outside work. The data came from a representative sample of workers ( n = 565) at the University of Extremadura (Spain), both teaching and research academic staff (TRAS) and service and administrative staff (SAS). We performed the data analysis by using latent profile analysis, and the results show evidence that workers from both groups were distributed across four profiles. As expected, we verified that workers in the profile with high burnout and low engagement had lower well-being outside work than workers in the profile with high engagement and low burnout. We also observed that engagement mitigated the negative effects of burnout on workers in profiles with moderate levels of burnout, who showed better well-being outside work when they had higher engagement. These differences are discussed, and their practical implications and suggestions for future research are provided.
Keyphrases
  • social media
  • data analysis
  • healthcare
  • mental health
  • machine learning
  • high intensity
  • electronic health record
  • big data
  • long term care