The Relationship between Digital Game Addiction Tendency and Depressive Symptoms in Children (36–72 Months)

Abstract

Aim: We aimed to evaluate the relationship between digital game addiction tendency and depressive symptoms in children (36–72 months). Method: We conducted this research in a virtual environment with the mothers of 747 children (36–72 months). A predictive evaluation was performed using a simple regression analysis between the mean scores of the Digital Game Addiction Tendency Scale (DGATS) and the Child Depressive Symptoms Assessment Scale (CDSAS). Results: A total of 53.9% of children reported that they play games for 3–24 h a day. The average duration of children playing digital games was 2.86 ± 1.86 h per day. The total mean score of the CDSAS was 142.48 ± 27.36. The total mean score the children received from DGATS was 46.34 ± 17.28. In the regression analysis, it was determined that there was a strong positive correlation between the (DGATS) total score average and the (CDSAS) total score average (R = 0.52, R2 = 0.27, p < 0.05). Accordingly, digital game addiction tendency explains 27% of children’s depressive symptoms. Conclusions: When the standardized beta coefficient and t values are examined, it can be said that digital game addiction tendency is a significant predictor of children’s depressive symptoms.