Tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system

Exploring associations of population characteristics and tobacco and vape retailer density and proximity in Australia: a scoping review

OBJECTIVE

This scoping review synthesises Australian evidence on associations between tobacco and vape retailer density/proximity and various population measures and smoking behaviour to identify research gaps and inform future policy and strategies.

DATA SOURCES

Following Joanna Briggs Institute methodology, relevant studies published in English since 2003 were identified via searches of eight databases in March and August 2023.

STUDY SELECTION

Two reviewers independently completed screening procedures. Eligible studies were from Australia and described associations between tobacco or vape retailer density/proximity and adult or youth smoking/vaping prevalence or behaviours, neighbourhood socioeconomic status, geographic location, school locations and/or Indigenous status.

DATA EXTRACTION

Results are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.

DATA SYNTHESIS

Of 794 publications screened, 12 studies from 6 Australian states were included. Six studies from five states reported statistically significant associations between neighbourhood-level socioeconomic disadvantage and tobacco retailer density, yet only two studies from two states found a significant relationship between retailer density and adult smoking prevalence. Increasing retailer density was consistently significantly associated with increasing geographical remoteness in three states. No studies explored associations with tobacco retailer proximity or vape retailer density/proximity.

CONCLUSIONS

Despite a moderate number of studies overall, state-level evidence is limited, and unknown for Australian territories. Evidence from five Australian states reflects the international evidence that increasing retailer density is significantly associated with increasing socioeconomic disadvantage and remoteness, supporting the need for tobacco supply-based policies. Further research is required to understand the impact of retailer density and adult and youth smoking prevalence in Australia.

Estimating the number and growth of tobacconists and vape stores in Queensland in the absence of a retailer licensing database

INTRODUCTION

In 2022, Queensland had not implemented a tobacco retailer licensing scheme. This study aimed to develop a prototype system to periodically collect geolocations of tobacconists and/or vape retailers (TVR) in Queensland over a 12-month period.

METHODS

The 'Text Search' function on Google Maps application programming interface was used to return business information based on a string query with a specific latitude and longitude coordinate (search points) (n = 3481). Monthly searches of TVRs were repeated from July 2022 to June 2023. Retailers that likely sold tobacco products but were not specialty stores (e.g., supermarkets) were excluded. Two team members independently and manually checked, confirmed and categorised 'New' entries.

RESULTS

From July 2022 to June 2023 confirmed TVRs in Queensland increased by 14.3% from 624 to 713, a mean of 7.4 new TVRs per month. Of the total stores collected in the initial search (July 2022), 71.5% were manually confirmed as TVRs. Most stores were categorised as 'tobacco only', yet the proportion of confirmed TVRs categorised as 'tobacco and vape' and 'vape only' increased and decreased, respectively, over 12-months.

DISCUSSION AND CONCLUSIONS

The prototype system effectively identified and tracked the longitudinal growth of tobacco/vape specialty stores in Queensland over 12 months. Future research using the system will analyse TVR density and proximity relative to population characteristics and locations of interest. The system will also provide baseline data to assist compliance following the Queensland smoking product licensing scheme and longitudinal data to supplement evaluations of the state and federal supply policies.

Perspectives on limiting tobacco access and supporting access to nicotine vaping products among clients of residential drug and alcohol treatment services in Australia

INTRODUCTION

Tobacco endgame strategies aim to drive down population smoking rates, the success of which can be improved with public buy-in, including from populations with high smoking rates such as alcohol and other drug (AOD) service clients. This study aimed to explore acceptability of tobacco retail and nicotine reduction, and subsidised nicotine vaping to support AOD service clients following a smoking cessation attempt.

METHODS

We interviewed 31 Australian AOD service clients who currently or previously smoked, following a 12-week randomised trial comparing nicotine replacement therapy with nicotine vaping product (NVP) for smoking cessation. Participants were asked how effectively three scenarios would support tobacco cessation: tobacco retailer reduction, very low-nicotine cigarette standard and subsidised NVP access. We thematically analysed participant views on how each approach would support tobacco abstinence.

RESULTS

Tobacco retailer reduction raised concerns about increasing travel and accessing cigarettes from alternate sources, with generally lower acceptability, though a range of perspectives were provided. Reducing nicotine in tobacco products was described as reducing appeal of smoking and potentially increasing illicit purchases of non-reduced nicotine products. Clients of AOD services were highly accepting of subsidised NVP access for tobacco cessation, as this would partly address financial and socioeconomic barriers.

CONCLUSIONS

Australian tobacco control policy should consider how these approaches impact ease and likelihood of tobacco access by AOD service clients in relation to the general population. Understanding clients' acceptability of tobacco control and endgame measures can inform how to avoid potential unintended consequences for these clients.

Tobacco retail availability and smoking-A systematic review and meta-analysis

ISSUES

Health policy makers worldwide have adopted evidence-based legislation, largely directed at consumers, to reduce tobacco-related harm. It is suggested that limiting supply by decreasing retail availability can also reduce cigarette smoking. To inform policy makers this systematic literature review assesses whether reducing availability is associated with smoking behaviours.

APPROACH

Systematic literature searches of five databases were carried out up to January 2023. Included studies had at least one exposure (tobacco retail density, proximity or mixed measures thereof) and outcomes of smoking behaviour. Meta-analysis of effect estimates were undertaken if there were at least three studies with similar population, exposure and outcome measures.

KEY FINDINGS

Sixty-two studies were included, and positive associations were found between tobacco outlet density and cigarette smoking in pregnancy, youth, adults and cessation. Meta-analyses were undertaken for retail density and ever smoking (odds ratio [OR] 1.20; 95% confidence interval [CI] 1.04, 1.37; I2 = 87.3%), and current youth smoking (OR 1.23; 95% CI 1.08, 1.40; I2 = 0.0%), adult smoking (OR 1.11; 95% CI 1.01, 1.22; I2 = 74.8%); and mixed measures of retail availability near schools and current youth smoking (OR 1.03; 95% CI 1.01, 1.05; I2 = 0.0%).

IMPLICATIONS AND CONCLUSION

There is evidence higher tobacco retail density is consistently associated with cigarette smoking in pregnant women, young people and adults when ecological studies are included in meta-analysis. Meanwhile, evidence synthesis reveals restrictive tobacco retail laws based on proximity or mixed measures near home or very near school may not reduce smoking except in men who smoke heavily. Mechanisms to reduce retailer density should be thus considered part of tobacco control strategies.

South Australia's tobacco retail landscape and its intersection with socioeconomic factors and smoking prevalence

ISSUES ADDRESSED

Tobacco product availability is higher in socioeconomically disadvantaged areas, which can further widen tobacco-related health and disease burden inequities. This study aimed to describe retail availability of tobacco products in South Australia and examine the association between tobacco vendor location, population's socioeconomic status (SES) and tobacco smoking prevalence.

METHODS

Cross-sectional 2022 tobacco vendor licence data and 2021-2022 state-wide population health survey data from the South Australian Department of Health were used. Tobacco vendors were enumerated by Statistical Area 2 (SA2) using geocoding software, with SA2s assigned health survey derived smoking prevalence, SES, remoteness category, area size, and population size.

RESULTS

As of 2022, there were 1723 tobacco vendors in South Australia and the overall tobacco smoking prevalence across the state was 11.8%. Regression analyses indicated that tobacco vendor density increased with socioeconomic disadvantage and geographic remoteness, and that smoking prevalence was higher in low SES areas. Vendor density was not related to smoking prevalence.

CONCLUSIONS

Findings are consistent with existing research indicating greater tobacco availability in socially disadvantaged areas. This supports that tobacco vendor saturation may be directed to areas in a way that promotes tobacco availability for vulnerable populations. Our finding that smoking prevalence was unrelated to tobacco availability contrasts existing literature and should be carefully interpreted. SO WHAT?: This is the first study to map tobacco retailers across South Australia, contributing needed evidence on the intersection of tobacco vendor density, social disadvantage, and smoking prevalence.

Tobacco retailer density and smoking behaviour: how are exposure and outcome measures classified? A systematic review

INTRODUCTION

To date only a limited number of reviews have focused on how exposure and outcome measures are defined in the existing literature on associations between tobacco retailer density ('density') and smoking behaviour ('smoking'). Therefore this systematic review classified and summarised how both density and smoking variables are operationalised in the existing literature, and provides several methodological recommendations for future density and smoking research.

METHODS

Two literature searches between March and April 2018 and April 2022 were conducted across 10 databases. Inclusion and exclusion criteria were developed and keyword database searches were undertaken. Studies were imported into Covidence. Cross-sectional studies that met the inclusion criteria were extracted and a quality assessment was undertaken. Studies were categorised according to the density measure used, and smoking was re-categorised using a modified classification tool.

RESULTS

Large heterogeneity was found in the operationalisation of both measures in the 47 studies included for analysis. Density was most commonly measured directly from geocoded locations using circular buffers at various distances (n = 14). After smoking was reclassified using a smoking classification tool, past-month smoking was the most common smoking type reported (n = 26).

CONCLUSIONS

It is recommended that density is measured through length-distance and travel time using the street network and weighted (e.g. by the size of an area), or by using Kernel Density Estimates as these methods provide a more accurate measure of geographical to tobacco and e-cigarette retailer density. The consistent application of a smoking measures classification tool, such as the one developed for this systematic review, would enable better comparisons between studies. Future research should measure exposure and outcome measures in a way that makes them comparable with other studies.

IMPLICATIONS

This systematic review provides a strong case for improving data collection and analysis methodologies in studies assessing tobacco retailer density and smoking behaviour to ensure that both exposure and outcome measures are clearly defined and captured. As large heterogeneity was found in the operationalisation of both density and smoking behaviour measures in the studies included for analysis, there is a need for future studies to capture, measure and classify exposure measures accurately, and to define outcome measures in a manner that makes them comparable with other studies.

Associations of tobacco retailer density and proximity with adult tobacco use behaviours and health outcomes: a meta-analysis

OBJECTIVE

We sought to conduct a systematic review and meta-analysis of evidence to inform policies that reduce density and proximity of tobacco retailers.

DATA SOURCES

Ten databases were searched on 16 October 2020: MEDLINE via PubMed, PsycINFO, Global Health, LILACS, Embase, ABI/Inform, CINAHL, Business Source Complete, Web of Science and Scopus, plus grey literature searches using Google and the RAND Publication Database.

STUDY SELECTION

Included studies used inferential statistics about adult participants to examine associations between tobacco retailer density/proximity and tobacco use behaviours and health outcomes. Of 7373 studies reviewed by independent coders, 37 (0.5%) met inclusion criteria.

DATA EXTRACTION

Effect sizes were converted to a relative risk reduction (RRR) metric, indicating the presumed reduction in tobacco use outcomes based on reducing tobacco retailer density and decreasing proximity.

DATA SYNTHESIS

We conducted a random effects meta-analysis and examined heterogeneity across 27 studies through subgroup analyses and meta-regression. Tobacco retailer density (RRR=2.55, 95% CI 1.91 to 3.19, k=155) and proximity (RRR=2.38, 95% CI 1.39 to 3.37, k=100) were associated with tobacco use behaviours. Pooled results including both density and proximity found an estimated 2.48% reduction in risk of tobacco use from reductions in tobacco retailer density and proximity (RRR=2.48, 95% CI 1.95 to 3.02, k=255). Results for health outcomes came from just two studies and were not significant. Considerable heterogeneity existed.

CONCLUSIONS

Across studies, lower levels of tobacco retailer density and decreased proximity are associated with lower tobacco use. Reducing tobacco supply by limiting retailer density and proximity may lead to reductions in tobacco use. Policy evaluations are needed.