Evidence map›Paper›PMID 42344050›Full record

ArticleBMJ public health2026

Correlates of mobile device use in young children: a systematic review and meta-analysis.

Liane B de Azevedo, Dan Jones, Colette Marr, Amy Hughes, Elizabeth Goyder, Mark Clowes, Emily Pulsford, John Stephenson

Abstract read
In one paragraph

Article in BMJ public health, 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

8 authors.

Liane B de AzevedoSchool of Sport & Physical Activity, College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield, UK.ORCID https://orcid.org/0000-0001-9966-9414
Dan JonesSchool of Health and Life Sciences, Teesside University, Middlesbrough, UK.
Colette MarrSchool of Sport & Physical Activity, College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield, UK.ORCID https://orcid.org/0000-0003-4663-1345
Amy HughesSchool of Sport & Physical Activity, College of Health, Wellbeing and Life Sciences, Sheffield Hallam University, Sheffield, UK.ORCID https://orcid.org/0000-0003-3266-7144
Elizabeth GoyderSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0003-3691-1888
Mark ClowesSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.
Emily PulsfordSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0009-0007-0175-5615
John StephensonSchool of Human and Health Sciences, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0002-7902-1837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mobile device use has increased in recent years among young children. This systematic review and meta-analysis aims to identify and quantify the correlates of mobile device use (tablets and smartphones) and problematic smartphone use (PSU) in young children. Methods: The following databases were searched up to March 2026: MEDLINE, Scopus, Embase, CINAHL, Applied Social Sciences Index and Abstracts, International Bibliography of the Social Sciences, PsycINFO, Web of Science, ERIC and citation search. Quantitative or mixed-methods studies that reported the correlates of mobile device use or PSU on children aged 6 or younger. Studies were excluded if they focused on children with critical illnesses or developmental disorders, combined mobile device use with other forms of screen time (such as television), assessed the health impacts of device use, were conducted in laboratories or during the COVID-19 pandemic, or were not published in peer-reviewed journals. Screening, data extraction and quality assessment were performed independently by two reviewers. The correlates were broadly classified across three levels of the socioecological model. Random-effects meta-analyses were performed using the Fisher transformation of the correlation coefficient. Results: A total of 39 studies with 32 927 individuals from 17 countries were included. 115 correlates were identified: 43 at the individual level, 68 at the interpersonal level and 4 at the environmental level. No correlates revealed a significant effect for PSU. However, there was a significant positive association between mobile device use and: (1) Age (tablet Conclusion: Future studies addressing mobile device use in young children should consider parental device usage and provide support to reduce parental stress. PROSPERO registration number: CRD42024543727.

Indexed as

Digital TechnologyPublic HealthSystematic Review

Identifiers

PMID42344050
PMCPMC13289221

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Registered trials

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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.