Determining the factors affecting social media addiction, phubbing and perception of addiction in nurses
Abstract
This dataset contains anonymized data supporting the study entitled “Determining the factors affecting social media addiction, phubbing and perception of addiction in nurses.” Objective: This study aims to investigate the effects of self-perception and social support on psychosocial outcomes among nurses working in high-stress clinical settings, including intensive care units and emergency departments. Method: The descriptive cross-sectional study was conducted with 300 nurses at Ankara City Hospital between April and June 2023. Multivariate Analysis of Variance (MANOVA), regression analysis, and mediation analysis were performed. Results: Intensive care unit nurses reported significantly higher virtual communication and virtual tolerance scores. Years of professional experience, virtual communication, virtual tolerance, and phubbing explained 51% of the variance in perceived social media addiction. Conclusion: Virtual communication and virtual tolerance emerged as the strongest predictors of perceived addiction. Working in intensive care units influenced perceived social media addiction both directly and indirectly through phubbing.
Fields of Study & Subjects
Impact of Technology on Adolescents
Cyberloafing and Workplace Behavior
Healthcare Education and Workforce Issues
Publication details
- Journal / source
- Harvard Dataverse
- Publication date
- 9 February 2026
- Language
- EN
- Document type
- Dataset