Interventions for Digital Addiction: Umbrella Review of Meta-Analyses.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-02-11 DOI:10.2196/59656
Peng Lu, Jiamin Qiu, Shiqi Huang, Xinman Wang, Shasha Han, Sui Zhu, Youjing Ning, Fang-Fang Zeng, Yuan Yuan
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Abstract

Background: Numerous studies have explored interventions to reduce digital addiction outcomes, but inconclusive evidence makes it difficult for decision-makers, managers, and clinicians to become familiar with all available literature and find appropriate interventions.

Objective: This study aims to summarize and assess the certainty of evidence of interventions proposed to decrease digital addiction from published meta-analyses.

Methods: An umbrella review of published meta-analyses was performed. We searched PubMed, Cochrane Library, Web of Science, and Embase for meta-analyses published up to February 2024. Eligible studies evaluated interventions using randomized controlled trials, nonrandomized controlled trials, or quasi-experimental studies and were assessed for methodological quality using Assessment of Multiple Systematic Reviews version 2. A random effects model was used to analyze data, considering heterogeneity and publication bias. Grading of Recommendations, Assessment, Development, and Evaluations was applied to assess evidence with certainty.

Results: A total of 5 studies assessing 21 associations were included in the umbrella review, of which 4 (80%) were high-quality meta-analyses. Weak evidence was observed in 19 associations, whereas null associations appeared in the remaining 2 associations. These associations pertained to 8 interventions (group counseling, integrated internet addiction [IA] prevention programs, psychosocial interventions, reality therapy, self-control training programs, cognitive behavioral therapy, interventions to reduce screen time in children, and exercise) and 9 outcomes (self-control, self-esteem, internet gaming disorder symptoms, time spent gaming, IA scores, screen use time, interpersonal sensitivity longlines, anxiety, and depression). Cognitive behavioral therapy reduces anxiety (standardized mean difference [SMD] 0.939, 95% CI 0.311 to 1.586), internet gaming disorder symptoms (SMD 1.394, 95% CI 0.664 to 2.214), time spent gaming (SMD 1.259, 95% CI, 0.311 to 2.206), and IA scores (SMD -2.097, 95% CI -2.814 to -1.381). Group counseling had a large effect on improving self-control (SMD 1.296, 95% CI 0.269 to 2.322) and reducing IA levels (SMD -1.417, 95% CI -1.836 to -0.997). Exercise intervention reduced IA scores (SMD -2.322, 95% CI -3.212 to -1.431), depression scores (SMD -1.421, 95% CI -2.046 to -797), and interpersonal sensitivity scores (SMD -1.433, 95% CI -2.239 to -0.627).

Conclusions: The evidence indicates that current interventions to reduce digital addiction are weak. Data from more and better-designed studies with larger sample sizes are needed to establish robust evidence.

Trial registration: PROSPERO CRD42024528173; crd.york.ac.uk/PROSPERO/display_record.php?RecordID=528173.

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数字成瘾的干预措施:荟萃分析综述。
背景:许多研究探索了减少数字成瘾结果的干预措施,但不确定的证据使得决策者、管理者和临床医生很难熟悉所有可用的文献并找到适当的干预措施。目的:本研究旨在总结和评估从已发表的荟萃分析中提出的减少数字成瘾的干预措施证据的确定性。方法:对已发表的荟萃分析进行综合综述。我们检索了PubMed、Cochrane Library、Web of Science和Embase,检索了截止到2024年2月发表的meta分析。符合条件的研究使用随机对照试验、非随机对照试验或准实验研究评估干预措施,并使用多系统评价评估第2版对方法学质量进行评估。考虑异质性和发表偏倚,采用随机效应模型分析数据。对建议、评估、发展和评价进行分级,以确定地评估证据。结果:总括性综述共纳入了5项研究,评估了21种相关性,其中4项(80%)是高质量的荟萃分析。在19个关联中观察到弱证据,而在其余2个关联中观察到无关联。这些关联涉及8项干预措施(团体咨询、综合网络成瘾[IA]预防计划、社会心理干预、现实治疗、自我控制训练计划、认知行为治疗、减少儿童屏幕时间的干预措施和锻炼)和9项结果(自我控制、自尊、网络游戏障碍症状、游戏时间、IA评分、屏幕使用时间、人际敏感性延长线、焦虑和抑郁)。认知行为疗法可减少焦虑(标准化平均差[SMD] 0.939, 95% CI 0.311至1.586)、网络游戏障碍症状(SMD 1.394, 95% CI 0.664至2.214)、游戏时间(SMD 1.259, 95% CI 0.311至2.206)和IA评分(SMD -2.097, 95% CI -2.814至-1.381)。小组咨询对提高自我控制(SMD为1.296,95% CI为0.269 ~ 2.322)和降低IA水平(SMD为-1.417,95% CI为-1.836 ~ -0.997)有很大的影响。运动干预降低了IA评分(SMD -2.322, 95% CI -3.212至-1.431)、抑郁评分(SMD -1.421, 95% CI -2.046至-797)和人际敏感性评分(SMD -1.433, 95% CI -2.239至-0.627)。结论:证据表明,目前减少数字成瘾的干预措施很弱。需要更多、设计更好、样本量更大的研究的数据来建立有力的证据。试验注册:PROSPERO CRD42024528173;crd.york.ac.uk /普洛斯彼罗/ display_record.php ? RecordID = 528173。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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