Evidence map›Paper›PMID 39141617›Full record

ArticleHealth promotion and chronic disease prevention in Canada : research, policy and practice2024

Social media use and sleep health among adolescents in Canada.

Florence Lafontaine-Poissant, Justin J Lang, Britt McKinnon, Isabelle Simard, Karen C Roberts, Suzy L Wong, Jean-Philippe Chaput, Ian Janssen, Meyran Boniel-Nissim, Geneviève Gariépy

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In one paragraph

Article in Health promotion and chronic disease prevention in Canada : research, policy and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The Association Between Negative Online Behaviours and Problematic Social Media Use in Adolescents: Comparing Psychiatric Inpatients and Community Participants.Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent · 2025
    Article
  6. Review
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

10 authors.

Florence Lafontaine-PoissantSchool of Public Health, University of Montreal, Montréal, Quebec, Canada.
Justin J LangCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Britt McKinnonSchool of Public Health, University of Montreal, Montréal, Quebec, Canada.
Isabelle SimardSchool of Public Health, University of Montreal, Montréal, Quebec, Canada.
Karen C RobertsCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Suzy L WongCentre for Health Promotion, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Jean-Philippe ChaputHealthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.
Ian JanssenSchool of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.
Meyran Boniel-NissimSchool of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.
Geneviève GariépySchool of Public Health, University of Montreal, Montréal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPublic health concerns over the impact of social media use (SMU) on adolescent health are growing. We investigated the relationship between SMU and sleep health in adolescents in Canada aged 11 to 17 years.

methodsData from the 2017-2018 Health Behaviour in School-aged Children study were available for 12 557 participants (55.2% female). SMU was categorized by frequency of use (non-active, active and intense) and the presence of addiction-like symptoms (problematic). Mixed effects logistic regression models identified associations between SMU and seven sleep health indicators (insomnia symptoms, daytime wakefulness problems, screen time before bed, meeting sleep duration recommendations, sleep variability and late bedtime on school and non-school days).

resultsCompared to active SMU, non-active SMU was associated with better sleep indicators, except for insomnia symptoms. Intense SMU was associated with greater odds of having poor sleep health indicators (adjusted odds ratio [aORs] from 1.09 to 2.24) and problematic SMU with the highest odds (aORs from 1.67 to 3.24). Associations with problematic SMU were greater among girls than boys, including having a later bedtime on school days (aOR = 3.74 vs. 1.84) and on non-school days (aOR = 4.13 vs. 2.18). Associations between SMU and sleep outcomes did not differ by age group.

conclusionIntense and problematic SMU were associated with greater odds of poor sleep health among adolescents in Canada, with stronger associations among girls than boys. Further research is needed to understand the mechanisms underlying associations between SMU and sleep to inform public health recommendations.

Indexed as

Social MediaAdolescentCanadaChildFemaleHealth BehaviorHumansMaleScreen TimeSex FactorsSleepSleep Initiation and Maintenance Disordersadolescentsdaytime wakefulnessinsomniasleepsleep durationsleep variabilitysocial media use

Identifiers

PMID39141617
PMCPMC11498329

What OpenQuestion holds

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LicenceCC BY
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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.