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Screen time and its impact on university students

By
Lolakshi Rajput ,
Lolakshi Rajput
Contact Lolakshi Rajput

University of East Sarajevo) Faculty of Medicine Foca , Foca , Bosnia and Herzegovina

Ayush Bhardwaj ,
Ayush Bhardwaj

(University of East Sarajevo) Faculty of Medicine Foca , Foca

Shanmukh Vempaty ,
Shanmukh Vempaty

(University of East Sarajevo) Faculty of Medicine Foca , Foca

Dragan Spaić ,
Dragan Spaić

Faculty of Medicine Foča, University of East Sarajevo , Lukavica , Bosnia and Herzegovina

Biljana Milinković ,
Biljana Milinković

Faculty of Medicine Foča, University of East Sarajevo , Lukavica , Bosnia and Herzegovina

Dejan Bokonjić ,
Dejan Bokonjić

Pediatrics, Faculty of Medicine Foča, University of East Sarajevo Bosnia and Herzegovina

Milorad Grujičić
Milorad Grujičić

Faculty of Medicine, University of Banja Luka , Banja Luka , Bosnia and Herzegovina

Editor: Siniša Ristić

Abstract

Introduction. The increasing use of digital devices among university students has raised concerns regarding its potential impact on physical and mental health. However, the independent contribution of different patterns of screen use remains insufficiently understood. This study aimed to examine screen use patterns among medical students and to assess their associations with selected health outcomes, with a particular focus on identifying independent predictors.
Methods. A cross-sectional study was conducted among 96 medical students aged 19–26 years. Data were collected using a self-administered questionnaire assessing daily screen time, timing of use, physical activity, and health-related outcomes. Multivariate binary logistic regression models were used to identify independent predictors of sleep disturbances, anxiety, and musculoskeletal pain.
Results. The median daily screen time was five hours. The most frequently reported health issues were eye strain (56.3%), musculoskeletal pain (53.1%), sleep disturbances (46.9%), and anxiety (40.6%). A weak but statistically significant positive correlation was observed between screen time and sleep disturbances (rs = 0.209, p = 0.044, N = 93 due to missing data for three participants). In multivariate analysis, late-night screen use was identified as an independent predictor of sleep disturbances (OR = 9.37, 95% CI: 1.96–44.75, p = 0.005), whereas total screen time was not significant after adjustment. No independent predictors were identified for anxiety or musculoskeletal pain.
Conclusion. The findings suggest that the impact of screen use on health outcomes is domain-specific. Behavioral patterns, particularly late-night use, appear to be more relevant than total screen time in relation to sleep disturbances. These results highlight the importance of a behavior-oriented approach to digital media use among students.

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