Han Yun, Qiu Jiamin, Shi Chengbin, Huang Shiqi, Huang Haokun, Wang Xinman, Zhu Sui, Lu Da-Lin, Lu Peng, Zeng Fangfang
School of Marxism, Huaqiao University, Xiamen, China.
Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601, Huangpu Avenue West, Tianhe District, Guangzhou, 510632, China, 86 2085221343.
JMIR Ment Health. 2025 Jul 28;12:e66950. doi: 10.2196/66950.
Digital addiction, affecting a significant portion of the population, particularly young people, is linked to psychological issues and social problems, making its prevention and management a crucial public health issue.
This umbrella review aimed to comprehensively analyze the factors influencing digital addiction by re-evaluating the methodologies and evidence quality of existing meta-analyses.
Databases including PubMed, Web of Science, the Cochrane Library, and Embase were systematically searched for reviews and meta-analyses related to factors associated with digital addiction up to September 24, 2024. The methodological quality of the identified studies was assessed using the modified "A Measurement Tool to Assess Systematic Reviews 2" (AMSTAR 2) tool, while the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool was used to evaluate the quality of the evidence presented in the literature.
A total of 18 articles were included in the review, with AMSTAR 2 assessments revealing 6 moderate-quality, 4 low-quality, and 8 very low-quality studies. In total, 29 significant factors associated with digital addiction were identified. Notably, 4 studies achieved both moderate AMSTAR 2 and GRADE ratings, indicating that positive parent-child relationship (r=-0.15, 95% CI-0.18 to -0.11; P<.05) effectively mitigate the risks of digital addiction. Conversely, urban residence (odds ratio [OR] 2.32, 95% CI 1.19-4.53; P<.001), adverse childhood experiences (r=0.21, 95% CI 0.18-0.24; P<.001), and social anxiety (r=0.34, 95% CI 0.19-0.48; P<.001) were identified as factors that may increase the risk of developing digital addiction.
This study found that social factors such as urban residence were associated with an increased risk of digital addiction, whereas social support served as a protective factor against this risk. Nonetheless, the methodologies used in analyzing the factors related to digital addiction require further refinement.
数字成瘾影响着相当一部分人口,尤其是年轻人,它与心理问题和社会问题相关联,因此其预防和管理成为一个至关重要的公共卫生问题。
本综述旨在通过重新评估现有荟萃分析的方法和证据质量,全面分析影响数字成瘾的因素。
系统检索包括PubMed、Web of Science、Cochrane图书馆和Embase在内的数据库,以查找截至2024年9月24日与数字成瘾相关因素的综述和荟萃分析。使用改良的“系统评价2评估工具”(AMSTAR 2)评估已识别研究的方法学质量,同时使用推荐分级评估、制定和评价(GRADE)工具评估文献中呈现的证据质量。
该综述共纳入18篇文章,AMSTAR 2评估显示有6项中等质量、4项低质量和8项极低质量的研究。总共识别出29个与数字成瘾相关的显著因素。值得注意的是,4项研究在AMSTAR 2和GRADE评级中均达到中等水平,表明积极的亲子关系(r=-0.15,95%CI -0.18至-0.11;P<.05)能有效降低数字成瘾风险。相反,城市居住(优势比[OR] 2.32,95%CI 1.19 - 4.53;P<.001)、童年不良经历(r=0.21,95%CI 0.18 - 0.24;P<.001)和社交焦虑(r=0.34,95%CI 0.19 - 0.48;P<.001)被确定为可能增加数字成瘾风险的因素。
本研究发现,城市居住等社会因素与数字成瘾风险增加相关,而社会支持是抵御此风险的保护因素。尽管如此,分析数字成瘾相关因素所使用的方法仍需进一步完善。