Login / Signup

The Mediating Role of Procrastination in the Relationship between Fear of Missing Out and Internet Addiction in University Students.

Abdullah ManapAmelia RizzoAbdullah YıldırmazÜmit DilekçiMurat Yıldırım
Published in: International journal of environmental research and public health (2023)
This study aims to examine the potential mediating role of procrastination in the relationship between fear of missing out and internet addiction. Employing a cross-sectional research design, this study utilized a paper-pencil form to collect data from 315 students (65.4% undergraduate and 66.3% females) between 18 and 32 (Mage = 22.43; SD = 3.81) studying at a state university in Türkiye. Data were collected through the convenience sampling method. The study was designed as a survey model. This design was tested via mediation analysis. The participants completed self-report assessments using the Fear of Missing Out Scale (FoMOs), General Procrastination Scale (GPS-9), and Young Internet Addiction Scale (short form). The findings showed that FoMO had a significant positive direct effect on both procrastination ( R 2 = 0.13) and internet addiction ( R 2 = 0.33). Procrastination also had a significant positive direct effect on internet addiction ( R 2 = 0.34). Additionally, procrastination mediated the relationship between the fear of missing out and internet addiction ( β = 0.156, p < 0.001). These findings not only extend the scope of existing research but also hold practical implications for the development of sustainable interventions. It is believed that the findings will contribute to the consideration of procrastination when preparing psychoeducation or group guidance programs for internet addiction. These interventions can effectively address the process through which fear of missing out leads to internet addiction by considering the significant role of procrastination in students. Findings typically suggest that procrastination behavior is a key factor in explaining the association between FoMO and internet addiction.
Keyphrases
  • health information
  • public health
  • physical activity
  • big data
  • prefrontal cortex
  • machine learning
  • depressive symptoms
  • electronic health record
  • risk assessment
  • artificial intelligence