Evidence map›Paper›PMID 41677479›Full record

ArticleAmerican journal of preventive medicine2026

Prospective Associations Between Early Adolescent Problematic Screen Use, Mental Health, Sleep, and Substance Use.

Jason M Nagata, Joan E Shim, Priyadharshini Balasubramanian, Chloe M Cheng, Abubakr A A Al-Shoaibi, Iris Y Shao, Kyle T Ganson, Alexander Testa, Orsolya Kiss, Jinbo He and 1 more

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

11 authors.

Jason M NagataDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California. Electronic address: Jason.nagata@ucsf.edu.
Joan E ShimDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California.
Priyadharshini BalasubramanianDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California.
Chloe M ChengDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California.
Abubakr A A Al-ShoaibiDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California.
Iris Y ShaoDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California.
Kyle T GansonFactor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Canada.
Alexander TestaDepartment of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, Texas.
Orsolya KissCenter for Health Sciences, SRI International, Menlo Park, California.
Jinbo HeDepartment of Biosciences and Bioinformatics, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, California.

Funding

Interpretable Deep Forecasting of Hazardous Substance Use during High SchoolR01DA057567 · NIDA · STANFORD UNIVERSITY · PI Kilian Maria Pohl, Susan F. Tapert · 2022 to 2026
$2.3M
Informing national guidelines on adolescent and young adult physical activity and sedentary behavior to prevent cardiovascular diseaseK08HL159350 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGATA, JASON M · 2021 to 2025
$869k
NHLBI NIH HHS K08 HL159350NIDA NIH HHS R01 DA057567
6 · The paper itself

Abstract

introductionThere are limited large-scale, prospective analyses examining problematic (addiction-like) screen use and mental and behavioral health outcomes in early adolescents. This study aimed to determine the associations between problematic screen use and mental and behavioral health outcomes-such as depressive symptoms, suicidal behaviors, sleep disturbance, and substance use initiation-1 year later in a national cohort of children aged 11-12 years in the U.S.

methodsProspective cohort data from Adolescent Brain Cognitive Development Study participants who reported their screen use at ages 11-12 (Year 2, 2018-2020; N=8,119; 47.5% female; 43.8% racial/ethnic minority) were analyzed in 2025. Associations between problematic screen use (Social Media Addiction Questionnaire, Video Game Addiction Questionnaire, Mobile Phone Involvement Questionnaire, Year 2) and mental and behavioral health outcomes (Year 3) were determined using either linear or logistic regression analyses on the basis of the outcome, adjusting for potential confounders (Year 2).

resultsProblematic mobile phone use and social media use were prospectively associated with higher depressive, somatic, attention/deficit, oppositional defiant, and conduct problems scores; suicidal behaviors; sleep disturbance; and substance initiation. Problematic video game use was associated with higher depressive, attention/deficit, and oppositional defiant scores; suicidal behaviors; and sleep disturbance.

conclusionsEarly adolescent problematic screen use is prospectively associated with poor mental and behavioral health outcomes 1 year later, extending prior cross-sectional findings. Clinicians can assess not only screen time but also problematic screen use and provide guidance to adolescents and parents, including the development of a family media plan.

Indexed as

Adolescent BehaviorMental HealthSleep Wake DisordersSubstance-Related DisordersAdolescentChildDepressionDigital MediaFemaleHumansMaleMedia ExposureProspective StudiesScreen TimeSocial MediaSurveys and Questionnaires

Identifiers

PMID41677479
PMCPMC12990317

What OpenQuestion holds

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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.