Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis.

ABSTRACT:

Background

Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, and overall diminished well-being. The machine learning-based prediction of burnout has therefore become the focus of recent research. In this study, the aim was to detect burnout using machine learning and to identify its most important predictors in a sample of Hungarian high-school teachers.

Methods

The final sample consisted of 1,576 high-school teachers (522 male), who completed a survey including various sociodemographic and health-related questions and psychological questionnaires. Specifically, depression, insomnia, internet

SUBMITTER: Feher G 

PROVIDER: S-EPMC11348772 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature