Evidence map›Paper›PMID 39933164›Full record

SynthesisJournal of medical Internet research2025

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

Peng Lu, Jiamin Qiu, Shiqi Huang, Xinman Wang, Shasha Han, Sui Zhu, Youjing Ning, Fang-Fang Zeng, Yuan Yuan

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Peng LuDepartment of Chinese International Education, Chinese Language and Culture College, Huaqiao University, Xiamen, China.ORCID 0000-0001-8645-0368
Jiamin QiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0001-8872-983X
Shiqi HuangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.ORCID 0009-0005-5009-015X
Xinman WangDepartment of Chinese International Education, Chinese Language and Culture College, Huaqiao University, Xiamen, China.ORCID 0009-0004-8136-0960
Shasha HanDepartment of Neonatology and Pediatrics, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.ORCID 0000-0001-9279-2866
Sui ZhuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0002-0012-9045
Youjing NingDepartment of Chinese International Education, Chinese Language and Culture College, Huaqiao University, Xiamen, China.ORCID 0009-0009-2599-7867
Fang-Fang Zeng *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0001-8650-0927
Yuan Yuan *Department of Chinese International Education, Chinese Language and Culture College, Huaqiao University, Xiamen, China.ORCID 0009-0002-9214-912X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous 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.

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

methodsAn 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.

resultsA 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).

conclusionsThe 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 registrationPROSPERO CRD42024528173; crd.york.ac.uk/PROSPERO/display_record.php?RecordID=528173.

Indexed as

Behavior, AddictiveInternet Addiction DisorderCognitive Behavioral TherapyHumansMeta-Analysis as Topiccognitive behavioral therapydigital addictioninternetinternet addictioninterventionslonelinesspharmacological treatmentpsychologicalquality of lifesystematic reviewumbrella reviewswell-being

Identifiers

PMID39933164
PMCPMC11862776

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.