Evidence map›Paper›PMID 42778172›Full record

ArticleJournal of medical Internet research2026

Digital Behavior Change Interventions for Digital Overuse: Scoping Review of Current Approaches and Emerging AI-Enabled Systems.

Hyeonhak Kim, Sujung Kim, Jinwoong Kim, Sangjin Park

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Hyeonhak KimDepartment of Industrial Data Engineering, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0005-0124-0780
Sujung KimDepartment of Industrial Data Engineering, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0001-0317-3631
Jinwoong KimDepartment of Industrial Data Engineering, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0001-0707-5908
Sangjin ParkDepartment of Industrial Data Engineering, Hanyang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6055-0376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital overuse poses a significant threat to health through multiple pathways, including the deterioration of mental health and sleep disturbance. This issue has led to the development of digital overuse-targeted digital behavior change interventions (DO-DBCIs). Although research in this field has advanced by adopting state-of-the-art technologies, substantial gaps exist in elements critical to establishing intervention validity, including target devices and activities, intervention strategies, theoretical foundations, target populations, and sustainability of effects.

objectiveThis scoping review aimed to systematically map DO-DBCI research across these five dimensions and to identify structural gaps and future research priorities.

methodsFollowing PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, 4 databases (Web of Science, ACM Digital Library, IEEE Xplore, and PubMed) were searched on August 4, 2026, for studies published through 2025. Of 3260 records retrieved, 32 studies were included after 2-stage screening by 2 independent reviewers.

resultsPronounced structural biases were identified across all 5 dimensions. Most studies targeted smartphones exclusively (27/32, 84%) and aimed at reducing total usage time without distinguishing specific activities (26/32, 81%); no study addressed short-form video platforms. Self-monitoring was the most frequently identified strategy, followed by nudge and friction, while AI- and machine learning (ML)-based interventions remained limited. Of the 32 studies, 12 (38%) lacked an explicit theoretical framework. Target populations were heavily skewed toward young adults (17/31, 55%), with only 1 of 31 studies (3%) targeting adolescents. Most studies adopted short-term designs of 4 weeks or less, and only 38% (12/32) included any postintervention follow-up.

conclusionsThis first comprehensive scoping review of DO-DBCI identifies 4 critical gaps-device and activity concentration, theory-to-design disconnect, demographic skew toward convenience samples, and insufficient longitudinal evaluation. Future research should prioritize activity-specific interventions, explicit theory-driven design, expanded population diversity, and standardized longitudinal study designs.

Indexed as

Artificial IntelligenceDigital HealthDigital MediaHumansSmartphonedigital behavior change interventiondigital overusedigital self-control tooldigital well-beingmobile phonepersuasive technology

Identifiers

PMID42778172
PMCPMC13646779

What OpenQuestion holds

Textmetadata
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.