文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

社交媒体成瘾在 32 个国家的流行情况:分类方案和文化价值观的亚组分析的荟萃分析。

Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values.

机构信息

The University of Hong Kong, Hong Kong.

University College London, England.

出版信息

Addict Behav. 2021 Jun;117:106845. doi: 10.1016/j.addbeh.2021.106845. Epub 2021 Jan 26.


DOI:10.1016/j.addbeh.2021.106845
PMID:33550200
Abstract

In the cyber era, people interact with others not only face-to-face but also through social media platforms such as Facebook and Instagram. Social media addiction has emerged as a problem of global concern, with researchers all over the world conducting studies to evaluate how pervasive the problem is. However, the prevalence rates of social media addiction reported in the literature vary dramatically. The present meta-analysis aimed to systematically synthesize the extant research on social media addiction prevalence. Subgroup analysis and meta-regression were conducted to investigate whether the prevalence rates would differ by classification schemes, cultural values, and demographic factors. The meta-analysis involved 63 independent samples with 34,798 respondents from 32 nations spanning seven world regions. The random-effects meta-analytic findings revealed variations in prevalence among studies adopting distinct classification schemes. The pooled prevalence estimate was 5% (95% CI: 3%-7%) for studies adopting monothetic or strict monothetic classifications. A higher pooled prevalence estimate (13%; 95% CI: 8%-19%) was found for studies adopting a cutoff for severe level or strict polythetic classifications, and that estimate was even higher (25%; 95% CI: 21%-29%) for studies adopting a cutoff for moderate level or polythetic classifications. Moreover, cross-cultural comparisons revealed the pooled prevalence estimate obtained in collectivist nations (31%; 95% CI: 26%-36%) to be twofold higher than that obtained in individualist nations (14%; 95% CI: 9%-19%). This meta-analysis indicates that both the classification scheme used and cultural factors should be considered when interpreting the prevalence findings on social media addiction.

摘要

在网络时代,人们不仅面对面与他人互动,还通过 Facebook 和 Instagram 等社交媒体平台进行互动。社交媒体成瘾已成为全球关注的问题,世界各地的研究人员都在进行研究,以评估该问题的普遍性。然而,文献中报道的社交媒体成瘾患病率差异很大。本荟萃分析旨在系统综合现有的关于社交媒体成瘾患病率的研究。进行了亚组分析和荟萃回归分析,以调查分类方案、文化价值观和人口统计学因素是否会导致患病率的差异。该荟萃分析涉及 63 个独立样本,来自 32 个国家的 34798 名受访者,涵盖了七个世界区域。随机效应荟萃分析结果表明,采用不同分类方案的研究之间存在患病率差异。采用单一或严格单一分类的研究的汇总患病率估计为 5%(95%CI:3%-7%)。采用严重程度或严格多元分类的切点的研究的汇总患病率估计值较高(13%;95%CI:8%-19%),而采用中度或多元分类的切点的研究的汇总患病率估计值甚至更高(25%;95%CI:21%-29%)。此外,跨文化比较显示,在集体主义国家(31%;95%CI:26%-36%)获得的汇总患病率估计值是在个人主义国家(14%;95%CI:9%-19%)获得的两倍。这项荟萃分析表明,在解释社交媒体成瘾患病率的研究结果时,应同时考虑使用的分类方案和文化因素。

相似文献

[1]
Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values.

Addict Behav. 2021-6

[2]
Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis.

J Med Internet Res. 2022-1-10

[3]
Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions.

Cyberpsychol Behav Soc Netw. 2014-12

[4]
Has the prevalence of problematic social media use increased over the past seven years and since the start of the COVID-19 pandemic? A meta-analysis of the studies published since the development of the Bergen social media addiction scale.

Addict Behav. 2023-12

[5]
Instagram addiction and the Big Five of personality: The mediating role of self-liking.

J Behav Addict. 2018-2-20

[6]
Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?

Int J Soc Psychiatry. 2018-11-30

[7]
Social Media Addiction among Vietnam Youths: Patterns and Correlated Factors.

Int J Environ Res Public Health. 2022-11-3

[8]
Global prevalence of digital addiction in general population: A systematic review and meta-analysis.

Clin Psychol Rev. 2022-3

[9]
A review of theories and models applied in studies of social media addiction and implications for future research.

Addict Behav. 2021-3

[10]
Time distortion when users at-risk for social media addiction engage in non-social media tasks.

J Psychiatr Res. 2017-12-2

引用本文的文献

[1]
Adaptation and validation of the Chinese version of the digital addiction scale for children (DASC).

BMC Public Health. 2025-7-30

[2]
Problematic internet use and aggression in Chinese middle school students: mediation effect of reality social connectedness.

Front Public Health. 2025-7-15

[3]
Psychological inoculation against problematic social media use among adolescents: An experimental study.

Ann N Y Acad Sci. 2025-8

[4]
Emotional Intelligence in Gen Z Teaching Undergraduates: The Impact of Physical Activity and Biopsychosocial Factors.

Eur J Investig Health Psychol Educ. 2025-7-4

[5]
A Narrative Inquiry Into Problematic Internet Use Among Young Adults: A Narrative Review.

Cureus. 2025-6-10

[6]
A proposed model of the maintenance and exacerbation of body image and eating concerns in the context of problematic social network use.

Addict Behav Rep. 2025-6-19

[7]
The relationship between state-fear of missing out, loneliness, adaptive perfectionism and social media use in university students: a questionnaire and intervention study.

BMC Psychol. 2025-7-9

[8]
Development and Initial Validation of a Brief Measure of TikTok Addiction in a Multi-Country Sample.

J Prim Care Community Health. 2025

[9]
A short, animated storytelling video to reduce addiction stigma: A pilot randomized controlled trial.

Addict Behav Rep. 2025-6-17

[10]
The relationship between trait mindfulness and problematic usage of the internet, screen time, and nomophobia: A systematic review and meta-analysis.

J Behav Addict. 2025-7-2

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索