1. Prevalence of Internet Addiction in Medical Students: a Meta-analysis
- Author
-
Roger C.M. Ho, Cheng Lee, Russell B. C. Lim, and Melvyn W. B. Zhang
- Subjects
medicine.medical_specialty ,Students, Medical ,media_common.quotation_subject ,education ,Population ,Subgroup analysis ,Education ,03 medical and health sciences ,0302 clinical medicine ,Surveys and Questionnaires ,Intervention (counseling) ,Prevalence ,Humans ,Medicine ,030212 general & internal medicine ,Psychiatry ,media_common ,Internet ,education.field_of_study ,business.industry ,Online learning ,Addiction ,General Medicine ,Confidence interval ,Behavior, Addictive ,Psychiatry and Mental health ,Meta-analysis ,The Internet ,business ,030217 neurology & neurosurgery ,Demography - Abstract
With the development of online learning, communication, and entertainment, the Internet has become an indispensable tool for university students. Internet addiction (IA) has emerged as a health problem and the prevalence of IA varies from country to country. To date, the global prevalence of IA in medical students remains unknown. The objective of this meta-analysis was to establish precise estimates of the prevalence of IA among medical students in different countries. The pooled prevalence of IA among medical students was determined by the random-effects model. Meta-regression and subgroup analysis were performed to identify potential factors that could contribute to heterogeneity. The pooled prevalence of IA among 3651 medical students is 30.1% (95% confidence interval (CI) 28.5–31.8%, Z = −20.66, df = 9, τ 2 = 0.90) with significant heterogeneity (I 2 = 98.12). Subgroup analysis shows the pooled prevalence of IA diagnosed by the Chen’s Internet Addiction Scale (CIAS) (5.2, 95% CI 3.4–8.0%) is significantly lower than Young’s Internet Addiction Test (YIAT) (32.2, 95% CI 20.9–45.9%) (p
- Published
- 2017