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

Peng Lu1, Jiamin Qiu2, Shiqi Huang2

  • 1Department of Chinese International Education, Chinese Language and Culture College, Huaqiao University, Xiamen, China.

Journal of Medical Internet Research
|February 11, 2025
PubMed
Summary

Current digital addiction interventions show weak evidence. More robust studies are needed to confirm the effectiveness of treatments like cognitive behavioral therapy and exercise for reducing symptoms.

Keywords:
cognitive behavioral therapydigital addictioninternetinternet addictioninterventionslonelinesspharmacological treatmentpsychologicalquality of lifesystematic reviewumbrella reviewswell-being

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Area of Science:

  • Digital Health
  • Psychiatry
  • Behavioral Science

Background:

  • Digital addiction is a growing concern with inconclusive evidence on effective interventions.
  • Decision-makers, managers, and clinicians struggle to identify appropriate treatments due to fragmented literature.

Purpose of the Study:

  • To conduct an umbrella review of meta-analyses on interventions aimed at reducing digital addiction.
  • To assess the certainty of evidence for various interventions targeting digital addiction outcomes.

Main Methods:

  • Umbrella review of meta-analyses published up to February 2024, searching major scientific databases.
  • Included meta-analyses evaluated interventions using RCTs, non-RCTs, or quasi-experimental designs.
  • Methodological quality assessed using AMSTAR 2; evidence certainty evaluated using GRADE.

Main Results:

  • Five meta-analyses (four high-quality) assessed 21 associations across 8 interventions and 9 outcomes.
  • Weak evidence was found for 19 associations; null associations for 2.
  • Cognitive behavioral therapy, group counseling, and exercise showed significant effects on specific outcomes like anxiety, self-control, and depression.

Conclusions:

  • Current interventions for digital addiction are supported by weak evidence.
  • Further high-quality research with larger sample sizes is necessary to establish robust evidence for effective interventions.