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The Association of Internet Addiction with Burnout, Depression, Insomnia, and Quality of Life among Hungarian High School Teachers.

Marietta PohlGergely FeherKrisztián KapusAndrea FeherGabor Daniel NagyJulianna KissEva FejesLilla HorváthAntal Tibold
Published in: International journal of environmental research and public health (2021)
The extensive availability of Internet has led to the recognition of problematic Internet use (so called Internet addiction, IA) mostly involving adolescents. There are limited data about the prevalence and consequences of IA in adults especially among high school teachers. Here, we present a cross-sectional prospective study focusing on the association of Internet addiction with burnout, depression, insomnia, and lower quality of life among high school teachers taking many co-variates into account. Overall, 623 males (34.3%) and 1194 females (65.7%) participated in our study. Internet addiction was detected in 5.2% (95/1817) based on the Problematic Internet Use Questionnaire. Internet addiction was associated with severe burnout (10.5 vs. 2.7%, p < 0.001), moderate (36.8 vs. 1.7%, p < 0.001), and severe (6.3 vs. 0.1%, p < 0.001) depression, insomnia (23.1 vs. 11.4%, p < 0.001), and severe sleep disturbance (severe insomnia, 27.4 vs. 3.8%, p < 0.001) and lower quality of life in all domains ( p < 0.001). There was also a significant correlation of the severity of the above-mentioned parameters and the severity of IA (overall scores, p < 0.001 in all cases). In a multivariate analysis including demographic criteria, risk factors medical conditions and the above-mentioned parameters as co-variates internet addiction was significantly associated with depression (OR = 3.836, CI: 2.92-5.44, p = 0.03), and insomnia (OR: 3.932, CI: 3.6-5.69, p = 0.002). This is the first study from Hungary and is one of the first studies showing the association of IA with mental issues, burnout, and lower quality of life among adults. It underlines the clinical importance of problematic Internet use among adults.
Keyphrases
  • high school
  • health information
  • sleep quality
  • risk factors
  • depressive symptoms
  • physical activity
  • social media
  • young adults
  • mental health
  • cross sectional
  • deep learning
  • artificial intelligence