Evidence map›Paper›PMID 24986257›Full record

ArticleAlcoholism, clinical and experimental research2014

The relationship between brand-specific alcohol advertising on television and brand-specific consumption among underage youth.

Craig S Ross, Emily Maple, Michael Siegel, William DeJong, Timothy S Naimi, Joshua Ostroff, Alisa A Padon, Dina L G Borzekowski, David H Jernigan

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.7field-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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Psychological Processes Underlying Effects of Alcohol Marketing on Youth Drinking.Journal of studies on alcohol and drugs. Supplement · 2020
    Review
  11. Article
  12. A content analysis of alcohol content in UK television.Journal of public health (Oxford, England) · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Aspirational Brand Choice and Underage Alcohol Use.Journal of studies on alcohol and drugs · 2018
    Article
  20. Alcohol Content in the 'Hyper-Reality' MTV Show 'Geordie Shore'.Alcohol and alcoholism (Oxford, Oxfordshire) · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Craig S RossVirtual Media Resources, Natick, Massachusetts.
Emily Maple
Michael Siegel
William DeJong
Timothy S Naimi
Joshua Ostroff
Alisa A Padon
Dina L G Borzekowski
David H Jernigan
Boston University · USJohns Hopkins University · USVirtual High School · USUniversity of Maryland, Baltimore · US

Funding

Alcohol Brand Research Among Underage DrinkersR01AA020309 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI JERNIGAN, DAVID, SIEGEL, MICHAEL B · 2011 to 2014
$2.5M
BURPPE:BU Reproductive, Perinatal, and Pediatric Epidemiology Training ProgramT32HD052458 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WERLER, MARTHA M. · 2007 to 2016
$2.0M
NIAAA NIH HHS R01 AA020309NIAAA NIH HHS R01AA020309-01NICHD NIH HHS T32 HD052458
6 · The paper itself

Abstract

backgroundBeing able to investigate the relationship between underage drinkers' preferences for particular brands and their exposure to advertising for those brands would represent a significant advance in alcohol marketing research. However, no previous national study has examined the relationship between underage youth exposure to brand-specific alcohol advertising and consumption of those brands.

methodsWe conducted a cross-sectional, Internet-based survey of a national sample of 1,031 youth, ages 13-20, who had consumed at least 1 drink of alcohol in the past 30 days. We ascertained all alcohol brands consumed by respondents in the past 30 days. The main outcome measure was brand-specific consumption during the past 30 days, measured as a dichotomous variable. The main predictor variable was exposure to brand-specific alcohol advertising on television. The respondents reported which of 20 television shows popular with youth they had watched during the past 30 days. For each respondent, we calculated a standard measure of potential exposure to the brand-specific alcohol advertising that aired on those shows during the preceding 12 months, based on Nielsen (New York, NY) estimates of the youth audience for each show's telecasts.

resultsCompared to no brand-specific advertising exposure, any exposure was associated with an increased likelihood of brand-specific consumption (adjusted odds ratio 3.02; 95% confidence interval: 2.61-3.49) after controlling for several individual- and brand-level variables. When measured as a continuous variable, the relationship between advertising exposure and brand consumption was nonlinear, with a large association at lower levels of exposure and diminishing incremental effects as the level of exposure increased.

conclusionsThere is a robust relationship between youth's brand-specific exposure to alcohol advertising on television and their consumption of those same alcohol brands during the past 30 days. This study provides further evidence of a strong association between alcohol advertising and youth drinking behavior.

Indexed as

TelevisionAdolescentAdvertisingAge FactorsAlcohol DrinkingAlcoholic BeveragesConsumer BehaviorCross-Sectional StudiesData CollectionFemaleHumansInternetMaleMarketingPrevalenceUnited StatesAdvertisingAlcoholBrandUnderage DrinkingYouth

Identifiers

PMID24986257
PMCPMC4146644
OpenAlexW2086629068

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.