Evidence map›Paper›PMID 41160088›Full record

ArticleJournal of behavioral addictions2025

Unintended positive behavioral changes during self-report and wearable data collection on digital media use in young adults.

Sun-Jin Jo, Hae Kook Lee, Sun Jung Kwon, Yena Kim, Jae Seok Kwak, Haejung Lee

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Sun-Jin Jo1Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-8465-9632
Hae Kook Lee2Department of Psychiatry, College of Medicine, The Catholic University of Korea Uijeongbu St. Mary's Hospital, Uijongbu, Republic of Korea.ORCID https://orcid.org/0000-0002-4985-001X
Sun Jung Kwon3Department of Counseling Psychology, Korea Baptist Theological University and Seminary, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-9938-2237
Yena Kim3Department of Counseling Psychology, Korea Baptist Theological University and Seminary, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0001-5369-5668
Jae Seok Kwak4Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6185-6791
Haejung Lee5AI Healthcare Division, Korea Research International, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0004-0227-8695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The use of mobile devices is increasingly recognized as a valuable tool for interventions targeting mental health issues. This brief report aims to share insights into the unexpected positive changes observed during the data collection process for predicting addictive behaviors using mobile technology. Methods: We analyze self-reported baseline and 4-week follow-up data collected to develop an algorithm for predicting addictive digital media use. Two hundred and six adults in their 20 s completed a smartphone self-report survey on digital media use behaviors and emotion, while their step and heart rate data was passively collected via Fitbit. Results: Despite the absence of any interventional feedback beyond the data collection process, positive changes were observed, including time spent on digital media use (p = 0.031), a reduction in high-risk digital media use score (p < 0.001), and depressive symptom score (p = 0.004). Conclusions: When collecting data on digital media use and related emotion via mobile devices, it is important to recognize that positive changes may occur in participants even without planed intervention. Failing to consider this phenomenon could lead to an overestimation of the effects of interventions provided through smart devices.

Indexed as

Behavior, AddictiveEmotionsSelf ReportSmartphoneWearable Electronic DevicesAdultDepressionDigital MediaFemaleFollow-Up StudiesHeart RateHumansMaleYoung Adultaddictive behaviorhealthcareinternetmobile applicationsmonitoringwearable electronic devices

Identifiers

PMID41160088
PMCPMC12767593

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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.