Evidence map›Paper›PMID 33238925›Full record

ArticleBMC public health2020

Screen media activity does not displace other recreational activities among 9-10 year-old youth: a cross-sectional ABCD study®.

Briana Lees, Lindsay M Squeglia, Florence J Breslin, Wesley K Thompson, Susan F Tapert, Martin P Paulus

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Youth Correlates of Genetic Liability to Substance Use Disorders.medRxiv : the preprint server for health sciences · 2025
    Article
  2. Longitudinal analysis of the ABCD® study.Developmental cognitive neuroscience · 2025
    Review
  3. Causal Relationships Between Screen Use, Reading, and Brain Development in Early Adolescents.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Review
  10. Article
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.

Briana LeesThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Level 6 Jane Foss Russell Building, G02, Camperdown, NSW, 2006, Australia. briana.lees@sydney.edu.au.ORCID http://orcid.org/0000-0002-9888-8794
Lindsay M SquegliaDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Addiction Sciences Division, 171 Ashley Ave, Charleston, SC, 29425, USA.
Florence J BreslinLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA.
Wesley K ThompsonDivision of Biostatistics, Department of Family Medicine and Public Health, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
Susan F TapertDepartment of Psychiatry, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA.
Martin P PaulusLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA.

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7M
ABCD-USA Consortium: Research ProjectU01DA041022 · NIDA · SRI INTERNATIONAL · PI Fiona C Baker, Eva M Muller-Oehring · 2015 to 2026
$13.4M
Scientific training in addiction research techniques (START) for gifted future investigators from historically underrepresented and underserved backgroundsU01DA051039 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUGH P. GARAVAN, ALEXANDRA S POTTER · 2020 to 2026
$12.0M
ABCD-USA Consortium: UWM SIte U01DA041025 · NIDA · UNIVERSITY OF WISCONSIN MILWAUKEE · PI Christine L Larson, Krista Maurine Lisdahl · 2017 to 2026
$11.2M
13/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT MUSCU01DA041093 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Kevin M. Gray, Lindsay Squeglia · 2017 to 2026
$10.7M
Neuroscience-informed Treatment Development for Adolescent Alcohol Use DisordersK23AA025399 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SQUEGLIA, LINDSAY · 2016 to 2020
$1.0M
National Health and Medical Research Council GNT1169377NIAAA NIH HHS K23 AA025399NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itself

Abstract

backgroundScreen media is among the most common recreational activities engaged in by children. The displacement hypothesis predicts that increased time spent on screen media activity (SMA) may be at the expense of engagement with other recreational activities, such as sport, music, and art. This study examined associations between non-educational SMA and recreational activity endorsement in 9-10-year-olds, when accounting for other individual (i.e., cognition, psychopathology), interpersonal (i.e., social environment), and sociodemographic characteristics.

methodsParticipants were 9254 youth from the Adolescent Brain Cognitive Development Study®. Latent factors reflecting SMA, cognition, psychopathology, and social environment were entered as independent variables into logistic mixed models. Sociodemographic covariates included age, sex, race/ethnicity, education, marital status, and household income. Outcome variables included any recreational activity endorsement (of 19 assessed), and specific sport (swimming, soccer, baseball) and hobby (music, art) endorsements.

resultsIn unadjusted groupwise comparisons, youth who spent more time engaging with SMA were less likely to engage with other recreational activities (ps < .001). However, when variance in cognition, psychopathology, social environment, and sociodemographic covariates were accounted for, most forms of SMA were no longer significantly associated with recreational activity engagement (p > .05). Some marginal effects were observed: for every one SD increase in time spent on games and movies over more social forms of media, youth were at lower odds of engaging in recreational activities (adjusted odds ratio = 0·83, 95% CI 0·76-0·89). Likewise, greater general SMA was associated with lower odds of endorsing group-based sports, including soccer (0·93, 0·88-0·98) and baseball (0·92, 0·86-0·98). Model fit comparisons indicated that sociodemographic characteristics, particularly socio-economic status, explained more variance in rates of recreational activity engagement than SMA and other latent factors. Notably, youth from higher socio-economic families were up to 5·63 (3·83-8·29) times more likely to engage in recreational activities than youth from lower socio-economic backgrounds.

conclusionsResults did not suggest that SMA largely displaces engagement in other recreational activities among 9-10-year-olds. Instead, socio-economic factors greatly contribute to rates of engagement. These findings are important considering recent shifts in time spent on SMA in childhood.

Indexed as

RecreationScreen TimeChildCross-Sectional StudiesFemaleHobbiesHumansMaleSocioeconomic FactorsSportsChildrenDisplacement hypothesisHobbiesPhysical activityRecreational activitiesScreen mediaSocial mediaSport

Identifiers

PMID33238925
PMCPMC7687784

What OpenQuestion holds

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LicenceCC BY
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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.