Evidence map›Paper›PMID 39430134›Full record

ArticleAJPM focus2024

U.S. Adolescents' Exposure to Alcohol Marketing: Self-Reported Exposure on the Internet and Traditional Media.

Lei Zhang, Marissa B Esser

Abstract read
In one paragraph

Article in AJPM focus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Lei ZhangAlcohol Program, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Marissa B EsserAlcohol Program, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Youth exposure to alcohol marketing is a risk factor for underage drinking. In the U.S., research documents the impact of youth exposure to alcohol marketing through traditional media (e.g., TV, radio) on underage drinking, with less known about digital alcohol marketing exposure. This study aims to examine adolescents' self-reported exposure to alcohol marketing on various types of media, including the internet, by their demographic characteristics. Methods: Data were from the 2021 YouthStyles survey administered by Porter Novelli. Adolescents aged 12-17 years (N=833) completed this national online survey. Two multivariable logistic regression models were conducted in October 2022-April 2023 to examine exposure to alcohol marketing on 2 categories of media (watching TV, streaming videos, or going to the movies or browsing the internet). Models included race/ethnicity, age, gender, and past-week number of hours using the media category being assessed. Results: More than half of the U.S. adolescents reported being sometimes or often exposed to alcohol marketing. Hispanic adolescents had approximately 1.6 greater adjusted odds than non-Hispanic White adolescents of reporting sometimes or often being exposed to alcohol marketing while watching TV, streaming videos, or going to the movies and while browsing the internet. As adolescents' age increased, self-reported alcohol marketing exposure also increased for both media categories assessed. Conclusions: Monitoring alcohol marketing exposure, including exposure on the internet, can inform efforts for reducing racial/ethnic disparities in underage drinking risk factors.

Indexed as

Alcohol marketingdigital marketingmarketing exposurerace/ethnicityyouth

Identifiers

PMID39430134
PMCPMC11486924

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.