Evidence map›Paper›PMID 33586788›Full record

ArticleAlcoholism, clinical and experimental research2021

Prospective Association of Digital Media Use with Alcohol Use Initiation and Progression Among Adolescents.

Kira E Riehm, Johannes Thrul, Jessica L Barrington-Trimis, Annemarie Kelleghan, Ramin Mojtabai, Adam M Leventhal

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Machine Learning-Based Prediction of Binge Drinking among Adults in the United State: Analysis of the 2022 Health Information National Trends Survey.Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence · 2024
    Article
  3. 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 at 2 institutions in 2 countries.

Kira E RiehmDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-9061-0560
Johannes ThrulDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Jessica L Barrington-TrimisDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Annemarie KelleghanDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Ramin MojtabaiDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Adam M LeventhalDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Johns Hopkins University · USUniversity of Southern California · US

Funding

Anhedonia as a Risk Factor and Consequence of Substance UseR01DA033296 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEVENTHAL, ADAM MATTHEW · 2012 to 2016
$3.4M
Mental Health Services and Systems Training ProgramT32MH109436 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Matthew Eisenberg, Elizabeth A. Stuart · 2017 to 2026
$1.7M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
Understanding Transitions from Vaping to Smoking Across AdolescenceK01DA042950 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BARRINGTON-TRIMIS, JESSICA LOUISE · 2017 to 2021
$1.0M
CIHRNIDA NIH HHS K01 DA042950NIDA NIH HHS K24 DA048160NIDA NIH HHS R01 DA033296NIMH NIH HHS T32 MH109436
6 · The paper itself

Abstract

backgroundAlthough adolescents commonly use digital media and consume alcohol , longitudinal evidence of the association between these behaviors is scant. This study examined the association between the frequency of digital media use and the subsequent initiation or progression of alcohol use. We also examined whether these associations were moderated by gender and race/ethnicity.

methodsThe study included 2,473 adolescents from a prospective cohort in the Los Angeles, CA area who were surveyed in fall 2015 (11th grade, baseline for the current study) and every 6 months through the end of high school (Spring 2017, 12th grade). At baseline, youth self-reported the total number of 14 digital media activities (e.g., checking social media, streaming music/videos, texting) they engaged in at a high frequency (i.e., many times a day) over the past week. Scores ranged from 0 (i.e., no reported high-frequency digital media use) to 14 (i.e., reported engagement in all 14 digital media activities at a high frequency). Self-report measures of ever using alcohol, number of days of alcohol use in the past 30 days (0 to 30), binge drinking (yes/no), and covariates (i.e., demographics and measures of behavioral health and other substance use) were assessed at each time point.

resultsAmong respondents who at baseline reported never using alcohol (n = 1,214), high-frequency engagement in each additional digital media activity was associated with 4% higher odds of initiating alcohol use (aOR = 1.04, 95% CI: 1.01 to 1.07) across follow-up. Among respondents who at baseline reported ever using alcohol (n = 1,259), baseline high-frequency engagement in each additional digital media activity was associated at follow-up with 3% more days of alcohol use in the past 30 days (aIRR = 1.03, 95% CI: 1.00 to 1.06). Digital media use and binge drinking were not statistically significantly associated at follow-up. There was no evidence of moderation by gender or race/ethnicity.

conclusionsDigital media use frequency was modestly associated with increased risk of initiation and progression of alcohol use in adolescence. Additional research is needed to determine potential mechanisms for these associations.

Indexed as

Social MediaAdolescentBinge DrinkingFemaleHumansMaleProspective StudiesUnderage DrinkingAdolescenceAlcohol UseBinge DrinkingDigital Media

Identifiers

PMID33586788
PMCPMC8076081
OpenAlexW3130690681

What OpenQuestion holds

Textmetadata
LicenceTDM
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.