Evidence map›Paper›PMID 42867610›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2026

Untapped potential: Population health co-benefits of restricting social media and smartphone use among young people.

Jean-Philippe Chaput, Élise Pauzé, Lana Vanderlee

Abstract read
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In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 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

3 authors.

Jean-Philippe ChaputHealthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada. jpchaput@cheo.on.ca.ORCID http://orcid.org/0000-0002-5607-5736
Élise PauzéSchool of Nutrition and Centre NUTRISS, Université Laval, Québec, QC, Canada.
Lana VanderleeSchool of Nutrition and Centre NUTRISS, Université Laval, Québec, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts to reduce youth social media and smartphone use, including social media age restrictions and restrictions on smartphone use in schools, are increasingly being implemented in response to concerns about mental health and educational outcomes. However, evaluating these policies solely through these lenses may overlook broader population health implications. This commentary argues that digital restrictions can be viewed as upstream interventions that modify digital environments and may yield co-benefits, defined as additional favourable outcomes beyond their primary aims. Drawing on evidence linking excessive screen time and social media use with poor sleep, physical inactivity, sedentary behaviour, and unhealthy dietary patterns, we propose three pathways through which such policies may generate health co-benefits. First, restrictions may improve sleep by limiting behaviours associated with shorter and poorer-quality sleep. Second, because most recreational screen use is sedentary, restrictions may reduce sedentary time and encourage incidental physical activity. Third, they may reduce exposure to digital marketing of unhealthy foods and other harmful commodities. We also discuss equity, unintended consequences, and research gaps. Evaluating these outcomes may strengthen the evidence base for digital restrictions as one component of a comprehensive child health and chronic disease prevention strategy.

Indexed as

Digital marketingHealth policyPhysical activityPublic healthSedentary behaviourSleepSmartphonesSocial mediaYouth

Identifiers

PMID42867610

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.