Investigating the role of depression in predicting Internet addiction in high school adolescents

Nasim Amini¹ Ali Salmani² Seifolah Agajani³

1) Master of Clinical Psychology, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran.
2) Master of Clinical Psychology, Faculty of Educational Sciences and Psychology, Mohaghegh Ardabili University, Ardabil, Iran.
3) Associate Professor, Department of Psychology, Faculty of Educational Sciences and Psychology, Mohaghegh University, Ardabil, Iran.

IOI Code : XDDC-FDFZG
Publication : 1th National Conference on Clinical Psychology of Children and Adolescents (cpcauma.ir)
Abstract :
    The aim of the research was to investigate the role of depression in predicting Internet addiction in high school students in Sari. The research method was descriptive-correlation and its statistical population included all high school students who were studying in 2020 and the sample size of 100 people was selected by available sampling. Beck Depression Inventory and Kimberly Young Internet Addiction Questionnaire were used to collect data. Pearson correlation analysis and multivariate regression were used to analyze the data. The results showed that there was a positive and significant relationship between depression (R = 459) and Internet addiction (P <0.01). The results of regression analysis also showed that the predictor variable (independent) of depression can predict (criterion variable) students Internet addiction. In summary, we can infer from results that depression has a significant relationship with Internet addiction

Keywords : depression internet addiction adolescents