The effects of exercise on smartphone addiction among university students: a systematic review and meta-analysis of randomized controlled trials
Abstract
The rapid advancement of mobile communication technologies has made smartphones an integral part of daily life. However, this has led to a rise in problematic smartphone use, commonly termed smartphone addiction, which is associated with a range of adverse physical, psychological, and social consequences. University students, a particularly vulnerable group due to their developmental stage and high smartphone engagement, are at significant risk, with problematic use prevalence estimated at 21.3% in China. Such addiction is linked to ophthalmic fatigue, depressive moods, loneliness, and diminished real-world social skills. While various interventions exist, conventional psychological therapies often require intensive resources, limiting their feasibility. Exercise, by contrast, offers a more accessible, cost-effective, and integrative approach that can simultaneously address the physical and mental health correlates of addiction. Despite this, existing reviews have not focused specifically on university students or provided detailed data for subgroup analyses, and inconsistencies in exercise parameters (e.g., type, duration, frequency) hinder the development of practical recommendations. Therefore, we conducted a systematic review and meta-analysis of randomized controlled trials to evaluate the effects of exercise on smartphone addiction among university students. Our review quantifies the pooled effects of exercise and, through subgroup analyses, compares intervention characteristics to identify parameters associated with optimal outcomes, aiming to provide actionable guidance for implementing exercise-based strategies in this population.
Fields of Study & Subjects
Impact of Technology on Adolescents
Physical Activity and Health
Substance Abuse Treatment and Outcomes
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint