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Growing propensity of internet addiction among Asian college students: meta-analysis of pooled prevalence from 39 studies with over 50,000 participants.

Authors :
Duc, Tran Quang
Chi, Vu Thi Quynh
Huyen, Nguyen Thi Hoa
Quang, Phan Ngoc
Thuy, Bui Thi
Nguyen Di, Khanh
Source :
Public Health (Elsevier). Feb2024, Vol. 227, p250-258. 9p.
Publication Year :
2024

Abstract

Rapid internet penetration and technological advancements have facilitated accessibility to internet-enabled devices globally. Since Asia lacks comprehensive data on internet addiction among college students, this review aims to estimate its pooled prevalence. This was a systematic review and meta-analysis. Searches were conducted in PubMed, Scopus, CINAHL, and MEDLINE from their inception through August 2022 using terms appropriate to internet addiction and Asian countries/territorial for publications in English peer-reviewed journals. The studies included those done on current college students and provided unambiguous indicators of the threshold of internet addiction. The pooled prevalence was calculated through a random-effects meta-analysis by RStudio software, and I 2 statistic was used to assess heterogeneity. The Joanna Briggs Institute critical appraisal checklist was used for quality assessment. Overall, between 2007 and 2021, 39 papers comprising 45 effect sizes and totaling 58,058 participants met the inclusion criteria. The pooled prevalence of internet addiction among Asian college students was 24.3% (95% confidence interval: 19.8%–29.5%, Q = 6234, df = 44, τ2 = 0.79, I 2 = 99.29%), and strikingly, this percentage increased over time. A high degree of heterogeneity was seen, and no publication bias was found. To our knowledge, this is the first comprehensive review report on Asian college students, which found that one-fifth suffer from internet addiction. The findings emphasize the significance of multidisciplinary prevention and management strategies to mitigate the harmful effects of internet addiction. Further research is warranted to develop a standardized diagnostic tool for a more precise estimation of internet addiction among this population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00333506
Volume :
227
Database :
Academic Search Index
Journal :
Public Health (Elsevier)
Publication Type :
Academic Journal
Accession number :
175456816
Full Text :
https://doi.org/10.1016/j.puhe.2023.11.040