Evidence map›Paper›PMID 41263988›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

The Relationship between Combined State and Local Tobacco Retail Licensing Laws and Retailer Density: The Case in California (2012-2021).

Bukola Usidame Peters, Zixiao Wang, Megan E Roberts

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Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bukola Usidame PetersDepartment of Public Health, Purdue University, Matthews (Mary L.) Hall, 223, 812 W State St, West Lafayette, IN, 47907, USA.ORCID 0000-0002-9716-0670
Zixiao WangDepartment of Public Health, Purdue University, Matthews (Mary L.) Hall, 223, 812 W State St, West Lafayette, IN, 47907, USA.
Megan E RobertsCollege of Public Health, The Ohio State University, Cunz Hall, 250, 1841 Neil Ave, Columbus, OH 43210, USA.ORCID 0000-0003-4743-2145

Funding

Examining the Impact of Local Policies on Sociodemographic Disparities in Tobacco UseK01CA282211 · NCI · PURDUE UNIVERSITY · PI Bukola Peters · 2024 to 2026
$389k
National Cancer Institute of the National Institutes of Health K01CA282211NCI NIH HHS K01 CA282211
6 · The paper itself

Abstract

introductionThis study examined the association between combined state and local tobacco retail licensing (TRL) laws and tobacco retailer density across all California localities from 2012 to 2021, using 2016 as a midpoint. AIMS AND

methodsData on licensed tobacco retailers (2012-2021) were obtained from the California Department of Tax and Fee Administration and local laws from the American Lung Association. The outcome was tobacco retailer density (retailers/1000 population). The exposure variable was a pre- and post-2016 state law (change in licensing fee and products covered), with an interaction between the strength of local city/town/unincorporated county TRL law (categorized as weak, moderate, and strong) and the exposure variable. Multilevel linear models accounted for sociodemographic factors.

resultsThe post-2016 state law (β = -0.15, 95% CI = -0.17% to -0.13%) and strong local TRL laws were negatively associated with tobacco retailer density (β = -0.05, 95% CI = -0.09% to -0.01%). Conversely, moderate TRL laws were positively associated with tobacco retailer density (β = 0.05, 95% CI = 0.01% to 0.09%). Also, having a strong local TRL law after the state law was passed was significantly associated with lower tobacco retailer density (β = -0.17, 95% CI = -0.25% to -0.09%). There was no significant association between the state and local law interaction and any of the local-level sociodemographic variables.

conclusionsStrong local TRL laws are associated with lower tobacco retailer density when there is a comparable state law in place. IMPLICATIONS: This study shows that when combined, strong local and state tobacco licensing laws are significantly associated with lower tobacco retailer density. The findings showed that a moderate local tobacco licensing law (ie a TRL lacking important provisions, such as fines and penalties for selling to minors) may not be sufficient to reduce retailer density.

Indexed as

CommerceLicensureTobacco ProductsCaliforniaHumansState Government

Identifiers

PMID41263988
PMCPMC13389745

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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.