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

• Main Authors: Gergely Feher (Author), Krisztian Kapus (Author), Antal Tibold (Author), Zoltan Banko (Author), Gyula Berke (Author), Boroka Gacs (Author), Imre Varadi (Author), Rita Nyulas (Author), Andras Matuz (Author)
• Format: Book
• Published: BMC, 2024-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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 machi...