Evidence map›Paper›PMID 28818250›Full record

ArticleAmerican journal of preventive medicine2017

Bars, Nightclubs, and Cancer Prevention: New Approaches to Reduce Young Adult Cigarette Smoking.

Pamela M Ling, Louisa M Holmes, Jeffrey W Jordan, Nadra E Lisha, Kirsten Bibbins-Domingo

Open access · bronzeAbstract read
In one paragraph

Article in American journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

  1. Young Adult Responses to Peer Crowd-Based Targeting in E-cigarette Advertisements: An Experimental Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
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  16. Comparisons Between Smoking Patterns Among Sexual Minority Females and Males in Romantic Relationships.Health education & behavior : the official publication of the Society for Public Health Education · 2019
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  17. "BMJ open · 2018
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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

5 authors at 1 institution in 1 country.

Pamela M LingCenter for Tobacco Control Research and Education, and Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California. Electronic address: pamela.ling@ucsf.edu.
Louisa M HolmesCenter for Tobacco Control Research and Education, and Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Jeffrey W JordanRescue Agency, San Diego, California.
Nadra E LishaCenter for Tobacco Control Research and Education, and Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Kirsten Bibbins-DomingoCenter for Vulnerable Populations, Department of Medicine, and Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
University of California, San Francisco · US

Funding

Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$6.4M
Countering Young Adult Tobacco Marketing in BarsU01CA154240 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2011 to 2015
$6.1M
Postdoctoral training in tobacco controlT32CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2016 to 2020
$2.6M
NCI NIH HHS T32 CA113710NCI NIH HHS U01 CA154240NIMHD NIH HHS P60 MD006902
6 · The paper itself

Abstract

introductionTobacco contributes to multiple cancers, and it is largely preventable. As overall smoking prevalence in California declines, smoking has become concentrated among high-risk groups. Targeting social/cultural groups (i.e., "peer crowds") that share common values, aspirations, and activities in social venues like bars and nightclubs may reach high-risk young adult smokers. Lack of population data on young adult peer crowds limits the ability to assess the potential reach of such interventions.

methodsThis multimodal population-based household survey included young adults residing in San Francisco and Alameda counties. Data were collected in 2014 and analyzed in 2016. Multivariable logistic regressions assessed smoking by sociodemographic factors, attitudes, self-rated health, peer crowd affiliation, and bar/nightclub attendance.

resultsSmoking prevalence was 15.1% overall; 35.3% of respondents sometimes or frequently attended bars. In controlled analyses, bar attendance (AOR=2.13, 95% CI=1.00, 4.53) and binge drinking (AOR=3.17, 95% CI=1.59, 6.32) were associated with greater odds of smoking, as was affiliation with "Hip Hop" (AOR=4.32, 95% CI=1.48, 12.67) and "Country" (AOR=3.13, 95% CI=1.21, 8.09) peer crowds. Multivariable models controlling for demographics estimated a high probability of smoking among bar patrons affiliating with Hip Hop (47%) and Country (52%) peer crowds.

conclusionsBar attendance and affiliation with certain peer crowds confers significantly higher smoking risk. Interventions targeting Hip Hop and Country peer crowds could efficiently reach smokers, and peer crowd-tailored interventions have been associated with decreased smoking and binge drinking. Targeted interventions in bars and nightclubs may be an efficient way to address these cancer risks.

Indexed as

Health Risk BehaviorsPeer GroupAdultBinge DrinkingCaliforniaFemaleHumansLogistic ModelsMaleModels, StatisticalMusicNeoplasmsPrevalenceSmoking PreventionSurveys and QuestionnairesTobacco Products

Identifiers

PMID28818250
PMCPMC5835447
OpenAlexW2748057198

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.