Literature DB >> 23092887

Contextual and community factors associated with youth access to cigarettes through commercial sources.

Sharon Lipperman-Kreda1, Joel W Grube, Karen B Friend.   

Abstract

OBJECTIVES: This study examines contextual and community-level characteristics associated with youth access to tobacco through commercial sources in 50 non-contiguous mid-sized California communities.
METHODS: The study is based on data from access surveys conducted by four confederate buyers (two men and two women) in 997 tobacco outlets. City demographics, adult smoking prevalence, and measures of tobacco outlet density, local tobacco retailer licencing and cigarette tax were included.
RESULTS: Multilevel regression analyses indicated that buyer's actual age, a male clerk and asking young buyers about their age were related to successful cigarette purchases. Buyer's actual age and minimum age signs increased the likelihood that clerks will request an identification (ID). At the community level, a higher percentage of minors, higher education, and a greater percentage of African-Americans were associated with an increased likelihood of a successful purchase. Lower percentage of minors, lower education, lower percentage of African-Americans, and having a local tobacco retailer licencing were associated with the retailer asking for an ID. Additionally, supermarkets charged significantly more for a pack of cigarettes than small markets, whereas, smoke/tobacco shops and drug stores/pharmacies charged less. Higher prices were associated with higher median household income and greater percentage of Hispanics. Findings about community characteristics, however, differed by cigarette brand.
CONCLUSIONS: This study enhances our understanding of the associations between contextual and community characteristics and youth access to tobacco through commercial sources which can help policymakers to identify and target at-risk communities and outlets to decrease youth access to tobacco.

Entities:  

Keywords:  Environment; Prevention; Price

Mesh:

Year:  2012        PMID: 23092887      PMCID: PMC3578042          DOI: 10.1136/tobaccocontrol-2012-050473

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  31 in total

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Review 9.  Which interventions against the sale of tobacco to minors can be expected to reduce smoking?

Authors:  Joseph R DiFranza
Journal:  Tob Control       Date:  2011-10-12       Impact factor: 7.552

10.  Youth are more sensitive to price changes in cigarettes than adults.

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  27 in total

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3.  Tobacco outlet density, retailer cigarette sales without ID checks and enforcement of underage tobacco laws: associations with youths' cigarette smoking and beliefs.

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5.  Racial and Ethnic Differences in What Smokers Report Paying for Their Cigarettes.

Authors:  Shelley D Golden; Amanda Y Kong; Kurt M Ribisl
Journal:  Nicotine Tob Res       Date:  2016-02-13       Impact factor: 4.244

6.  Disparities in retail marketing for menthol cigarettes in the United States, 2015.

Authors:  Sarah D Mills; Lisa Henriksen; Shelley D Golden; Rachel Kurtzman; Amanda Y Kong; Tara L Queen; Kurt M Ribisl
Journal:  Health Place       Date:  2018-07-26       Impact factor: 4.078

7.  Density and proximity of tobacco outlets to homes and schools: relations with youth cigarette smoking.

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8.  Multiple Levels of Influence That Impact Youth Tobacco Use.

Authors:  Patricia A Cavazos-Rehg; Melissa J Krauss; Shaina J Sowles; Edward L Spitznagel; Richard Grucza; Frank J Chaloupka; Laura J Bierut
Journal:  Tob Regul Sci       Date:  2016-04

9.  A Critical Assessment of Bias in Survey Studies Using Location-Based Sampling to Recruit Patrons in Bars.

Authors:  Christopher Morrison; Juliet P Lee; Paul J Gruenewald; Miesha Marzell
Journal:  Subst Use Misuse       Date:  2015       Impact factor: 2.164

10.  Availability of tobacco products associated with use of marijuana cigars (blunts).

Authors:  Sharon Lipperman-Kreda; Juliet P Lee; Chris Morrison; Bridget Freisthler
Journal:  Drug Alcohol Depend       Date:  2013-11-05       Impact factor: 4.492

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