Evidence map›Paper›PMID 42220632›Full record

ArticleJAACAP open2026

Social Media Usage and Its Association With the Social Media Addiction Questionnaire Scale Among Early Adolescents.

Jacob C Hermann, Kevin M Cummins, Shana Adise, Andrew T Marshall, Susan F Tapert, Fiona C Baker, Michael J Mason, Natasha E Wade, Jordan D Alexander, Lindsay M Squeglia and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAACAP open, 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

17 authors.

Jacob C HermannNew York University, New York, New York.
Kevin M CumminsUniversity of California San Diego, San Diego, California.
Shana AdiseUniversity of Georgia, Athens, Georgia.
Andrew T MarshallUniversity of Southern California, Los Angeles, California.
Susan F TapertUniversity of California San Diego, San Diego, California.
Fiona C BakerSRI International, Menlo Park, California.
Michael J MasonUniversity of Tennessee, Knoxville, Tennessee.
Natasha E WadeUniversity of California San Diego, San Diego, California.
Jordan D AlexanderUniversity of Minnesota, Minneapolis, Minnesota.
Lindsay M SquegliaMedical University of South Carolina, Charleston, South Carolina.
Bernard F FuemmelerVirginia Commonwealth University, Richmond, Virginia.
Michael C NealeVirginia Commonwealth University, Richmond, Virginia.
Orsolya KissSRI International, Menlo Park, California.
John N RedheadMedical University of South Carolina, Charleston, South Carolina.
Rachel L TomkoMedical University of South Carolina, Charleston, South Carolina.
Elizabeth A HoffmanNational Institute of Drug Abuse (NIDA), Bethesda, Maryland.
Kara S BagotUniversity of California Los Angeles, Los Angeles, California.

Funding

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
NIDA NIH HHS U01 DA041120
6 · The paper itself

Abstract

Objective: Despite increasing social media use among adolescents, few studies have investigated social media use patterns associated with the Social Media Addiction Questionnaire Scale. Social media addiction (SMA) is characterized in terms of social media platforms, engagement patterns, and account settings. Method: Cross-sectional data on youth 10 to 13 years of age from the Adolescent Brain Cognitive Development℠ Study (n = 5,639) were used. The majority of the sample were female, White, and from families living above poverty. SMA was assessed via an adapted scale. Regression models assessed links between SMA and hours spent per day on social media, most-used platform, public and secret accounts, and follower and following counts. Results: SMA was higher among youth whose most-used platforms were TikTok ( Conclusion: Higher SMA scores were most associated with TikTok, Instagram, and Snapchat use as well as using a public account, a secret account, and spending more time on social media. The relationship between social media hours and SMA confirms previous findings. This is the first study to investigate the relationship between account settings and SMA.

Indexed as

follower and following countInstagrampublic and private social media accountssocial media addiction (SMA)TikTok

Identifiers

PMID42220632
PMCPMC13221804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.