Evidence map›Paper›PMID 35143408›Full record

ArticleJournal of medical Internet research2021

Digital Technology Use and BMI: Evidence From a Cross-sectional Analysis of an Adolescent Cohort Study.

Chen Shen, Iroise Dumontheil, Michael Thomas, Martin Röösli, Paul Elliott, Mireille Toledano

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Observational
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  11. The Impact of Digital Devices on Children's Health: A Systematic Literature Review.Journal of functional morphology and kinesiology · 2024
    Review
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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

6 authors.

Chen ShenMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.ORCID 0000-0002-0119-4455
Iroise DumontheilDepartment of Psychological Sciences, Birkbeck, University of London, London, United Kingdom.ORCID 0000-0001-5236-7849
Michael ThomasDepartment of Psychological Sciences, Birkbeck, University of London, London, United Kingdom.ORCID 0000-0002-8231-6011
Martin RöösliDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0002-7475-1531
Paul ElliottMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.ORCID 0000-0002-7511-5684
Mireille ToledanoMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.ORCID 0000-0001-5695-6210

Funding

Department of HealthMedical Research Council MR/L01341X/1Medical Research Council MR/T502613/1
6 · The paper itself

Abstract

backgroundThe use of digital technology such as mobile phones is ubiquitous in adolescents. However, excessive use may have adverse health effects, possibly partially mediated by disruptions to sleep.

objectiveThis study aims to assess the social predictors of digital technology use and their cross-sectional association with BMI z scores and being overweight in a large sample of adolescents.

methodsWe used baseline data from a subset of a large adolescent cohort from 39 schools across Greater London who participated in the Study of Cognition, Adolescents and Mobile Phones (n=1473). Digital technology use included phone calls, internet use on mobile phones, and video gaming on any device. Multilevel regression was used to assess the associations between digital technology use and age-specific and sex-specific BMI z scores and being overweight (including obesity). Measurements were derived from height and weight, obtained by the Tanita BC-418 Body Composition Analyzer. We examined whether these associations were mediated by insufficient sleep.

resultsGenerally, participants with lower socioeconomic status reported more use of digital technology. Controlling for socioeconomic status, internet use on mobile phones for more than 3 hours per day was associated with higher BMI z scores (adjusted β=.30, 95% CI 0.11-0.48) and greater odds of being overweight (adjusted odds ratio 1.60, 95% CI 1.09-2.34), compared with low use (≤30 minutes). Similar associations were found between video gaming and BMI z scores and being overweight. The BMI z score was more strongly related to weekday digital technology use (internet use on mobile phones and video gaming) than weekend use. Insufficient sleep partly mediated the associations between digital technology use and BMI z scores (proportion of mediation from 8.6% to 17.8%) by an indirect effect.

conclusionsWe found an association between digital technology use and BMI in adolescents, partly mediated by insufficient sleep, suggesting that the underlying mechanisms may be multifactorial. Further research with longitudinal data is essential to explore the direction of the relationships.

Indexed as

Digital TechnologySleep DeprivationAdolescentBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansMaleadolescentdigital technologyinsufficient sleepmediation analysismobile phoneobesity

Identifiers

PMID35143408
PMCPMC8406110

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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.