Article in Substance use & misuse, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
5.7field-weighted citation impact, top 5% of its field
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
2 citing papers in PubMed, 5 citations in OpenAlex.
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
12 authors at 7 institutions in 3 countries.
Jason M NagataDepartment of Pediatrics, University of California, San Francisco, California, USA.ORCID 0000-0002-6541-0604
Omar M SajjadGeisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA.ORCID 0000-0003-0318-9737
Natalia SmithDepartment of Pediatrics, University of California, San Francisco, California, USA.
Gabriel ZamoraDepartment of Pediatrics, University of California, San Francisco, California, USA.
Sanya DhamaDepartment of Pediatrics, University of California, San Francisco, California, USA.
Abubakr A A Al-ShoaibiDepartment of Pediatrics, University of California, San Francisco, California, USA.ORCID 0000-0001-6513-9984
Kyle T GansonFactor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-3889-3716
Alexander TestaDepartment of Management, Policy and Community Health, University of Texas Health, Science Center at Houston, Houston, Texas, USA.ORCID 0000-0002-8686-9115
Megan A MorenoDepartment of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-2767-0787
Orsolya KissCenter for Health Sciences, SRI International, Menlo Park, California, USA.ORCID 0000-0003-2643-773X
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, California, USA.ORCID 0000-0001-9602-6165
Dylan B JacksonDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-4726-6573
University of California, San Francisco · USSRI International · USDartmouth College · USJohns Hopkins University · USThe University of Texas Health Science Center · USUniversity of Toronto · CAUniversity of Wisconsin–Madison · US
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
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
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 PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
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
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
ABCD-USA Consortium:Research ProjectU01DA041028 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN B. CLARK, BEATRIZ LUNA · 2015 to 2026
backgroundSocial media can influence alcohol initiation behaviors such as sipping, which can lead to future adverse alcohol-related outcomes. Few studies have examined the role of problematic social media use, characterized by addiction, mood modification, tolerance, withdrawal, conflict, and relapse, especially in early adolescence.
objectiveTo examine the prospective association between social media use and sipping alcohol in a nationwide sample of early adolescents, and the extent to which problematic social media use mediates the association.
methodsWe analyzed prospective data from the Adolescent Brain Cognitive Development Study (
resultsSocial media time (Year 1) was prospectively associated with 1.31 (95% confidence interval 1.20-1.43) times higher risk of new-onset sipping (Year 3). The association between social media time and new-onset alcohol sipping was partially mediated by problematic social media use at Year 2 (25.0% reduction in the association between the former two factors after adding problematic social media use,
conclusionsTime spent on social media was associated with a higher risk of alcohol sipping in a diverse national sample of early adolescents, and the association was partially mediated by problematic social media use. Media literacy education and family media use plans could advise early adolescents about exposure to alcohol content on social media and warning signs for problematic use.
Indexed as
Adolescent BehaviorSocial MediaAdolescentAlcohol DrinkingForecastingHumansProspective StudiesadolescentalcoholsippingSocial mediasubstance use
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.
Social Media Use and Alcohol Sipping in Early Adolescents: A Prospective Cohort Study. · full record | OpenQuestion