Examining the Predictive Role of Depression on Smartphone Addiction

Authors : Mehmet Enes Sağar, Feridun Kaya, Yüksel Eroğlu, Durmuş Sinan, Yılmaz Çelik, Cafer Tosun

Pages : 156-165

Doi:10.35365/ctjpp.24.2.06

View : 89 | Download : 106

Publication Date : 2024-06-27

Article Type : Research Paper

Abstract :The aim of this study is to examine the predictive role of depression on smartphone addiction. A total of 326 adults, 219 women and 107 men, participated in the study. The ages of the participants ranged between 18 and 61 years old, and the average age was 26.86±8.05. Within the scope of the research, a personal information form, DASS-21 (Depression, Anxiety and Stress Scale) depression subscale and Smartphone Addiction Scale-Short Form were applied. The personal information form includes questions about age and gender. The internal consistency coefficient of the DASS-21 depression subscale in this study was found to be .91. The Cronbach’s alpha coefficient of the Smartphone Scale-Short Form in this study was determined as .88. Findings from Pearson Correlation analysis showed that depression as negatively associated with smartphone addiction (r=.391, p<.001). Structural equation modeling was used to examine the predictive role of depression on smartphone addiction. According to the results obtained from the structural equation model, depression was found to predict smartphone addiction positively and significantly (β = 0.416, p < .001). Depression was found to explain 17% of the variation in smartphone addiction. The findings were discussed in the context of the relevant literature and suggestions were made to researchers within the scope of preventive mental health.
Keywords : Depresyon, Akıllı telefon bağımlılığı, Yapısal eşitlik modeli