Evidence map›Paper›PMID 26738886›Full record

ArticlePediatrics2016

Internet Alcohol Marketing and Underage Alcohol Use.

Auden C McClure, Susanne E Tanski, Zhigang Li, Kristina Jackson, Matthis Morgenstern, Zhongze Li, James D Sargent

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
7.6field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Exposure to Digital Alcohol Marketing and Alcohol Use: A Systematic Review.Journal of studies on alcohol and drugs. Supplement · 2020
    Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Psychological Processes Underlying Effects of Alcohol Marketing on Youth Drinking.Journal of studies on alcohol and drugs. Supplement · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Peer norms and susceptibility mediate the effect of movie alcohol exposure on alcohol initiation in adolescents.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
    Article
  16. Aspirational Brand Choice and Underage Alcohol Use.Journal of studies on alcohol and drugs · 2018
    Article
  17. Article
  18. Article
  19. Factors associated with younger adolescents' exposure to online alcohol advertising.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2017
    Article
  20. 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

7 authors at 4 institutions in 2 countries.

Auden C McClureDepartments of Pediatrics, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire Cancer Control Research Program, Norris Cotton Cancer Center, Lebanon, New Hampshire auden.c.mcclure@hitchcock.org.
Susanne E TanskiDepartments of Pediatrics, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire Cancer Control Research Program, Norris Cotton Cancer Center, Lebanon, New Hampshire.
Zhigang LiCancer Epidemiology, Norris Cotton Cancer Center, Lebanon, New Hampshire.
Kristina JacksonCenter for Alcohol and Addiction Studies, Brown University, Providence, Rhode Island; and.
Matthis MorgensternInstitute for Therapy and Health Research, Kiel, Germany.
Zhongze LiBiostatistics Shared Resources, Norris Cotton Cancer Center, Lebanon, New Hampshire;
James D SargentDepartments of Pediatrics, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire Cancer Control Research Program, Norris Cotton Cancer Center, Lebanon, New Hampshire.
Regional Cancer Center · USBrown University · USDartmouth College · USInstitute for Therapy and Health Research · DE

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Visual Media Influences on Adolescent Smoking Behavior (YR 9 Supplement)R01CA077026 · NCI · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 1997 to 2017
$16.8M
Media Influences on Early Onset Alcohol UseR01AA015591 · NIAAA · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 2005 to 2014
$3.4M
Alcohol Marketing and Underage DrinkingR01AA021347 · NIAAA · DARTMOUTH COLLEGE · PI SARGENT, JAMES D. · 2013 to 2017
$2.9M
New Media Alcohol Marketing and Adolescent DrinkingK23AA021154 · NIAAA · DARTMOUTH COLLEGE · PI MCCLURE, AUDEN · 2013 to 2017
$947k
Developmental Methodology as Applied to Research on Adolescent Alcohol UseK02AA021761 · NIAAA · BROWN UNIVERSITY · PI JACKSON, KRISTINA MELIA · 2013 to 2017
$691k
Longitudinal Methodology and Alcohol UseK01AA013938 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI JACKSON, KRISTINA MELIA · 2003 to 2007
$568k
NCI NIH HHS CA077026NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA077026NIAAA NIH HHS AA015591NIAAA NIH HHS AA021347NIAAA NIH HHS K01 AA013938NIAAA NIH HHS K02 AA021761NIAAA NIH HHS K02 AA13938NIAAA NIH HHS K23 AA021154NIAAA NIH HHS K23AA021154NIAAA NIH HHS R01 AA015591NIAAA NIH HHS R01 AA021347
6 · The paper itself

Abstract

BACKGROUND AND

objectiveInternet alcohol marketing is not well studied despite its prevalence and potential accessibility and attractiveness to youth. The objective was to examine longitudinal associations between self-reported engagement with Internet alcohol marketing and alcohol use transitions in youth.

methodsA US sample of 2012 youths aged 15 to 20 was surveyed in 2011. An Internet alcohol marketing receptivity score was developed, based on number of positive responses to seeing alcohol advertising on the Internet, visiting alcohol brand Web sites, being an online alcohol brand fan, and cued recall of alcohol brand home page images. We assessed the association between baseline marketing receptivity and both ever drinking and binge drinking (≥6 drinks per occasion) at 1-year follow-up with multiple logistic regression, controlling for baseline drinking status, Internet use, sociodemographics, personality characteristics, and peer or parent drinking.

resultsAt baseline, ever-drinking and binge-drinking prevalence was 55% and 27%, respectively. Many (59%) reported seeing Internet alcohol advertising, but few reported going to an alcohol Web site (6%) or being an online fan (3%). Higher Internet use, sensation seeking, having family or peers who drank, and past alcohol use were associated with Internet alcohol marketing receptivity, and a score of 1 or 2 was independently associated with greater adjusted odds of initiating binge drinking (odds ratio 1.77; 95% confidence interval, 1.13-2.78 and odds ratio 2.15; 95% confidence interval, 1.06-4.37 respectively) but not with initiation of ever drinking.

conclusionsAlthough high levels of engagement with Internet alcohol marketing were uncommon, most underage youths reported seeing it, and we found a prospective association between receptivity to this type of alcohol marketing and future problem drinking, making additional research and ongoing surveillance important.

Indexed as

InternetAdolescentAlcoholic BeveragesFemaleFollow-Up StudiesHealth SurveysHumansLogistic ModelsMaleMarketingProspective StudiesSelf ReportUnderage DrinkingUnited StatesYoung Adult

Identifiers

PMID26738886
PMCPMC5011761
OpenAlexW2230392752

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.