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Network analysis of internet addiction and depression among Chinese college students during the COVID-19 pandemic: A longitudinal study.

Yue ZhaoDiyang QuShiyun ChenXinli Chi
Published in: Computers in human behavior (2022)
This study provides novel insights into the central features of internet addiction and depression during the two stages. Interestingly, "guilty" and "escape," two functions of the defense mechanism, are identified as bridge symptoms. These two symptoms are suggested to activate the negative feedback loop and further contribute to the comorbidity between internet addiction and depression. Thus, targeting interventions on these internalized symptoms may contribute to alleviating the level of comorbidity among college students.
Keyphrases
  • sleep quality
  • network analysis
  • depressive symptoms
  • health information
  • physical activity
  • transcription factor
  • drug delivery