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《全球医学生网络成瘾患病率的系统评价和荟萃分析》。

The Worldwide Prevalence of Internet Addiction among Medical Students: A Systematic Review and Meta-Analysis.

机构信息

Department of Surgery, School of Medicine, Nazarbayev University, 010000 Astana, Kazakhstan.

Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000 Astana, Kazakhstan.

出版信息

Int J Environ Res Public Health. 2024 Aug 29;21(9):1146. doi: 10.3390/ijerph21091146.

Abstract

BACKGROUND

The internet helps us obtain necessary information, facilitates social communication, and provides access to entertainment content. The internet can also lead to the behavioral addictive condition termed internet addiction (IA) if used excessively. As active internet users, medical students are susceptible to IA, which is known to lead to depression and improper medical care delivery, poor academic performance, worse sleep quality, and undesirable financial issues. This systematic review and meta-analysis aimed to assess medical students' pooled IA prevalence.

METHODS

The analysis included thirteen cross-sectional studies involving 4787 medical students. Cumulative, subgroup, and meta-regression meta-analyses were applied, using the random-effects model and the restricted maximum likelihood method.

RESULTS

The cumulative meta-analysis revealed a rise in the proportion of IA from 0.08 to 0.29, with minor fluctuations between 2015 and 2022. The IA prevalence in lower-middle-income countries was approximately three times higher than in high-income ones. Age and gender were not associated with IA among medical students.

CONCLUSIONS

The worldwide prevalence of IA was 0.29, with a 95% CI between 0.19 and 0.41. Considering negative IA implications for medical students' well-being, policymakers and all stakeholders should pay special attention to addressing IA within the medical student community.

摘要

背景

互联网帮助我们获取必要的信息、促进社交沟通,并提供娱乐内容。如果过度使用,互联网也可能导致行为成瘾状态,即网络成瘾(IA)。作为活跃的互联网用户,医学生容易出现 IA,这会导致抑郁和不当的医疗服务提供、学业成绩不佳、睡眠质量更差以及出现不良的财务问题。本系统评价和荟萃分析旨在评估医学生的网络成瘾总患病率。

方法

分析纳入了 13 项涉及 4787 名医学生的横断面研究。采用随机效应模型和最大似然法进行累积、亚组和荟萃回归荟萃分析。

结果

累积荟萃分析显示,IA 的比例从 0.08 上升到 0.29,2015 年至 2022 年期间略有波动。中低收入国家的 IA 患病率大约是高收入国家的三倍。年龄和性别与医学生的 IA 无关。

结论

全球范围内,IA 的患病率为 0.29,95%置信区间为 0.19 至 0.41。考虑到 IA 对医学生健康的负面影响,政策制定者和所有利益相关者都应特别关注解决医学生群体中的 IA 问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ce/11430859/61872607a848/ijerph-21-01146-g001.jpg

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