Evidence map›Paper›PMID 42089393›Full record

ArticleJournal of research on adolescence : the official journal of the Society for Research on Adolescence2026

Understanding sleep and smartphone use in diverse adolescents through passive digital monitoring.

Oren Shahnovsky, Daniella Ekstein, Talia Friedman, Maya Stemmer, Lior Carmi, Noa Benaroya-Milshtein, Shai Fine, Shira Barzilay

Abstract read
In one paragraph

Article in Journal of research on adolescence : the official journal of the Society for Research on Adolescence, 2026. 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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Oren ShahnovskyDepartment of Community Mental Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.ORCID 0009-0001-4225-205X
Daniella EksteinDepartment of Community Mental Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.ORCID 0000-0002-3674-0786
Talia FriedmanData Science Institute, Reichman University, Herzliya, Israel.
Maya StemmerData Science Institute, Reichman University, Herzliya, Israel.
Lior CarmiData Science Institute, Reichman University, Herzliya, Israel.
Noa Benaroya-MilshteinDepartment of Child and Adolescent Psychiatry, Schneider Children's Medical Center of Israel, Petah Tikvah, Israel.
Shai FineData Science Institute, Reichman University, Herzliya, Israel.
Shira BarzilayDepartment of Community Mental Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.ORCID 0000-0002-4026-6204

Funding

Bishvil Hahayim (R.A.) AssociationData Science Institute, Reichman UniversityGraduate Studies Authority and Bloom School for Graduate Studies, University of HaifaLior Zfati Center for Suicide and Mental Pain ResearchMinistry of Science and Technology, Israel 3-15289
6 · The paper itself

Abstract

Adolescents are among the most frequent smartphone users worldwide. Yet, few studies have examined how smartphone use appears among minority adolescents, including sexual and gender minority (SGM) youth and children of immigrant parents, who often experience unique stressors and heightened mental-health risk. Passive smartphone monitoring provides a promising, low-burden method for continuously and objectively assessing real-world behavior, offering new opportunities to identify dynamic markers of mental health challenges, including suicide risk, in daily life. The present study evaluated the feasibility of a replicable framework for passive smartphone monitoring among adolescents at high risk for suicidal thoughts and behaviors (STB) and explored longitudinal differences in smartphone-derived behavioral features across minority subgroups. Ninety-nine adolescents aged 11-18 with recent STB completed baseline assessments and installed the iFeel app, which collected passive smartphone data for 6 months, including total and social-media screen time and phone-inactivity-based proxy sleep indicators inferred from nighttime phone inactivity. Participants contributed 1500 participant-weeks of data, with an average of 11.9 weeks of valid monitoring, supporting the feasibility and acceptability of this approach. Daily smartphone use time, social-media activity time, and sleep duration were comparable to normative adolescent data. No significant longitudinal differences emerged between SGM and non-SGM adolescents. However, immigrant-origin adolescents displayed shorter but more stable sleep patterns compared to non-immigrant origins, who exhibited longer baseline sleep with steeper declines over time. Findings highlight passive sensing as a feasible, inclusive, and scalable method for examining real-world behavioral processes associated with STB and mental health outcomes among diverse adolescents. This framework offers a scalable approach that future studies can apply to deepen real-time understanding of mental-health challenges and behavioral patterns among diverse adolescents.

Indexed as

Adolescent BehaviorSexual and Gender MinoritiesSleepSmartphoneAdolescentChildEmigrants and ImmigrantsFeasibility StudiesFemaleHumansMaleMobile ApplicationsScreen TimeSuicidal Ideationadolescentsminority populationspassive sensingpassive smartphone monitoringsuicide

Identifiers

PMID42089393
PMCPMC13147491

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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.