ReviewDiscover mental health2025
Technology-based interventions to address internet addictive behaviors: systematic review.
Review in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled 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.
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.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Linking mental health and digital addiction in general population: an overview of thematic evolution and trends from a science mapping perspective.Frontiers in psychiatry · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveInternet addictive behaviors or internet use disorder result from abnormal internet use, including neglecting responsibilities and experiencing anxiety when offline. This systematic review analyzes technology-based interventions addressing these behaviors, focusing on effectiveness, quality attributes, and user interaction.
methodsA literature search was conducted across three digital libraries and two high-impact journals, focusing on peer-reviewed articles published in Q1 or Q2 journals between January 2022 and June 2024. Studies evaluating digital addiction interventions and user interaction were included, while reviews, editorials, gray literature, and studies without clear intervention descriptions were excluded. The review covered randomized controlled trials, comparative studies, wearables, and mobile health apps. Five research questions were addressed using 17 evaluation criteria. Data extraction answered the subquestions. The review followed Barbara Kitchenham's guidelines, applying a rigorous selection and quality assessment process. Primary inclusion was verified using the Kappa coefficient for inter-rater agreement. The article's quality was evaluated with established criteria. The content adhered to PRISMA guidelines. In total, 11 articles were included.
findingsThe review found variability in intervention effectiveness, with personalized, real-time feedback interventions having the greatest impact on reducing screen time and addiction symptoms. Less effective interventions lacked personalization.
conclusionsThe study highlighted the most commonly used technology-based interventions and their effectiveness in reducing symptoms and screen time, as well as improving user satisfaction and treatment adherence. Research gaps were identified, including the need for data on quality characteristics and software requirements for personalizing interventions using new technology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.