Identifying tobacco retailers in the absence of a licensing system : lessons from Australia
- Baker, John, Masood, Mohd, Rahman, Muhammad Aziz, Thornton, Lukar, Begg, Stephen
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Thornton, Lukar , Begg, Stephen
- Date: 2021
- Type: Text , Journal article
- Relation: Tobacco Control Vol. 31, no. 4 (2021), p. 543-548
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- Description: ObjectivesTo estimate the proportion of retailers that sell tobacco in the absence of appropriate local government oversight, and to describe the characteristics by which they differ from those that can expect to receive such oversight.MethodsA database of listed tobacco retailers was obtained from a regional Victorian local government. Potential unlisted tobacco retailers were added using online searches, and attempts to visit all retailers were undertaken. GPS coordinates and sales type information of retailers that sold tobacco were recorded and attached to neighbourhood-level data on socioeconomic disadvantage and smoking prevalence using ArcMap. Logistic regression analyses, χ2 tests and t-tests were undertaken to explore differences in numbers of listed and unlisted retailers by business and neighbourhood-level characteristics.ResultsOf 125 confirmed tobacco retailers, 43.2% were trading potentially without government oversight. Significant differences were found between listed and unlisted retailers by primary business type (p<0.001), and sales type (p<0.001) but not by the other characteristics.ConclusionsThe database of tobacco retailers was inaccurate in two ways: (1) a number of listed retailers no longer operated or sold tobacco, and (2) 43.2% of businesses confirmed as selling tobacco were missing. As no form of licensing system exists in Victoria, it is difficult to identify the number of retailers operating, or to determine how many receive formal regulatory oversight. A positive licensing system is recommended to regulate the sale of tobacco and to generate a comprehensive database of retailers, similar to that which exists for food registration, gaming and liquor-licensed premises.
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Thornton, Lukar , Begg, Stephen
- Date: 2021
- Type: Text , Journal article
- Relation: Tobacco Control Vol. 31, no. 4 (2021), p. 543-548
- Full Text:
- Reviewed:
- Description: ObjectivesTo estimate the proportion of retailers that sell tobacco in the absence of appropriate local government oversight, and to describe the characteristics by which they differ from those that can expect to receive such oversight.MethodsA database of listed tobacco retailers was obtained from a regional Victorian local government. Potential unlisted tobacco retailers were added using online searches, and attempts to visit all retailers were undertaken. GPS coordinates and sales type information of retailers that sold tobacco were recorded and attached to neighbourhood-level data on socioeconomic disadvantage and smoking prevalence using ArcMap. Logistic regression analyses, χ2 tests and t-tests were undertaken to explore differences in numbers of listed and unlisted retailers by business and neighbourhood-level characteristics.ResultsOf 125 confirmed tobacco retailers, 43.2% were trading potentially without government oversight. Significant differences were found between listed and unlisted retailers by primary business type (p<0.001), and sales type (p<0.001) but not by the other characteristics.ConclusionsThe database of tobacco retailers was inaccurate in two ways: (1) a number of listed retailers no longer operated or sold tobacco, and (2) 43.2% of businesses confirmed as selling tobacco were missing. As no form of licensing system exists in Victoria, it is difficult to identify the number of retailers operating, or to determine how many receive formal regulatory oversight. A positive licensing system is recommended to regulate the sale of tobacco and to generate a comprehensive database of retailers, similar to that which exists for food registration, gaming and liquor-licensed premises.
Levels of support for the licensing of tobacco retailers in Australia : findings from the National Drug Strategy Household Survey 2004-2016
- Baker, John, Masood, Mohd, Rahman, Muhammad Aziz, Begg, Stephen
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Begg, Stephen
- Date: 2020
- Type: Text , Journal article , Review
- Relation: BMC Public Health Vol. 20, no. 1 (2020)
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- Description: Background: Assessing public opinion towards tobacco policies is important, particularly when determining the possible direction of future public health policies. The aim of this study was to describe the implementation of tobacco retailer licensing systems by state and territory governments in Australia, and to use the National Drug Strategy Household Survey (NDSHS) to assess levels of public support for a retailer licensing system in each jurisdiction over time and by a range of socio-demographic and behavioural attributes. Methods: National and state/territory estimates of public support for a tobacco retailer licensing system were derived as proportions using NDSHS data from 2004 to 2016. The effect of one's jurisdiction of residence on the likelihood of supporting such an initiative in 2016 was assessed using logistic regression while controlling for various socio-demographic and behavioural characteristics. Results: Public support for a tobacco retailer licensing system ranged from a high of 67.2% (95% CI 66.5-67.9%) nationally in 2007 and declined to 59.5% (95% CI 58.9-60.2%) in 2016. In 2016, support was greatest amongst those from Tasmania, those aged 50 years and older, females, those from the least disadvantaged areas, those living in major cities, never-smokers and never-drinkers. After adjusting for the socio-demographic and behavioural attributes of respondents, those from Queensland were significantly less likely to support a licensing system (adjusted OR = 0.85, 95% CI 0.77-0.94) compared to those from other jurisdictions, while those from Tasmania were significantly more likely to support a licensing system compared to those from other jurisdictions (adjusted OR = 1.29, 95% CI 1.09-1.52). Conclusions: A clear majority of the public support a tobacco retailer licensing system, regardless of whether or not such a system is already in place in their jurisdiction of residence. Tobacco control initiatives other than a retailer licensing system may explain some of the residual variations in support observed between jurisdictions. © 2020 The Author(s).
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Begg, Stephen
- Date: 2020
- Type: Text , Journal article , Review
- Relation: BMC Public Health Vol. 20, no. 1 (2020)
- Full Text:
- Reviewed:
- Description: Background: Assessing public opinion towards tobacco policies is important, particularly when determining the possible direction of future public health policies. The aim of this study was to describe the implementation of tobacco retailer licensing systems by state and territory governments in Australia, and to use the National Drug Strategy Household Survey (NDSHS) to assess levels of public support for a retailer licensing system in each jurisdiction over time and by a range of socio-demographic and behavioural attributes. Methods: National and state/territory estimates of public support for a tobacco retailer licensing system were derived as proportions using NDSHS data from 2004 to 2016. The effect of one's jurisdiction of residence on the likelihood of supporting such an initiative in 2016 was assessed using logistic regression while controlling for various socio-demographic and behavioural characteristics. Results: Public support for a tobacco retailer licensing system ranged from a high of 67.2% (95% CI 66.5-67.9%) nationally in 2007 and declined to 59.5% (95% CI 58.9-60.2%) in 2016. In 2016, support was greatest amongst those from Tasmania, those aged 50 years and older, females, those from the least disadvantaged areas, those living in major cities, never-smokers and never-drinkers. After adjusting for the socio-demographic and behavioural attributes of respondents, those from Queensland were significantly less likely to support a licensing system (adjusted OR = 0.85, 95% CI 0.77-0.94) compared to those from other jurisdictions, while those from Tasmania were significantly more likely to support a licensing system compared to those from other jurisdictions (adjusted OR = 1.29, 95% CI 1.09-1.52). Conclusions: A clear majority of the public support a tobacco retailer licensing system, regardless of whether or not such a system is already in place in their jurisdiction of residence. Tobacco control initiatives other than a retailer licensing system may explain some of the residual variations in support observed between jurisdictions. © 2020 The Author(s).
Tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system
- Baker, John, Masood, Mohd, Rahman, Muhammad Aziz, Thornton, Lukar, Begg, Stephen
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Thornton, Lukar , Begg, Stephen
- Date: 2021
- Type: Text , Journal article
- Relation: Tobacco Induced Diseases Vol. 19, no. (2021), p. 1-10
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- Description: INTRODUCTION An emerging body of research has developed around tobacco retailer density and its contribution to smoking behavior. This cross-sectional study aimed to determine the association between tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system in place. METHODS A local government database (updated 2018) of listed tobacco retailers (n=93) was accessed and potential unlisted tobacco retailers (n=230) were added using online searches. All retailers (n=323) were visited in 2019 and GPS coordinates of retailers that sold tobacco (n=125) were assigned to suburbs in ArcMap. A community survey conducted in the Local Government Area provided smoking and sociodemographic data amongst adult respondents (n=8981). Associations between tobacco retailer density (calculated as the number of retailers per km2 based on respondents' suburb of residence) and daily, occasional and experimental smoking were assessed using multilevel logistic regression analysis. Separate models with and without covariates were undertaken. RESULTS Without adjusting for possible confounders, living in suburbs with greater retailer density did not increase the odds of daily smoking (OR=1.01; 95% CI: 0.92-1.12), occasional smoking (OR=1.05; 95% CI: 0.94-1.18), or experimental smoking (OR=0.98; 95% 0.92- 1.05). However, after adjustment, living in suburbs with greater retailer density increased the odds of occasional smoking behavior (AOR=1.37; 95% CI: 1.10-1.71) but not daily or experimental smoking. CONCLUSIONS This study found a significant positive association between tobacco retailer density and the likelihood of occasional smoking in a rural Australian jurisdiction without a tobacco retailer licensing system in place. The findings strengthen calls for the introduction of a comprehensive, positive tobacco retailer licensing system to provide a framework for improving compliance with legislation and to reduce the overall availability of tobacco products in the community. © 2021 Baker J. et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Thornton, Lukar , Begg, Stephen
- Date: 2021
- Type: Text , Journal article
- Relation: Tobacco Induced Diseases Vol. 19, no. (2021), p. 1-10
- Full Text:
- Reviewed:
- Description: INTRODUCTION An emerging body of research has developed around tobacco retailer density and its contribution to smoking behavior. This cross-sectional study aimed to determine the association between tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system in place. METHODS A local government database (updated 2018) of listed tobacco retailers (n=93) was accessed and potential unlisted tobacco retailers (n=230) were added using online searches. All retailers (n=323) were visited in 2019 and GPS coordinates of retailers that sold tobacco (n=125) were assigned to suburbs in ArcMap. A community survey conducted in the Local Government Area provided smoking and sociodemographic data amongst adult respondents (n=8981). Associations between tobacco retailer density (calculated as the number of retailers per km2 based on respondents' suburb of residence) and daily, occasional and experimental smoking were assessed using multilevel logistic regression analysis. Separate models with and without covariates were undertaken. RESULTS Without adjusting for possible confounders, living in suburbs with greater retailer density did not increase the odds of daily smoking (OR=1.01; 95% CI: 0.92-1.12), occasional smoking (OR=1.05; 95% CI: 0.94-1.18), or experimental smoking (OR=0.98; 95% 0.92- 1.05). However, after adjustment, living in suburbs with greater retailer density increased the odds of occasional smoking behavior (AOR=1.37; 95% CI: 1.10-1.71) but not daily or experimental smoking. CONCLUSIONS This study found a significant positive association between tobacco retailer density and the likelihood of occasional smoking in a rural Australian jurisdiction without a tobacco retailer licensing system in place. The findings strengthen calls for the introduction of a comprehensive, positive tobacco retailer licensing system to provide a framework for improving compliance with legislation and to reduce the overall availability of tobacco products in the community. © 2021 Baker J. et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)
Tobacco retailer density and smoking behaviour : how are exposure and outcome measures classified? A systematic review
- Baker, John, Lenz, Katrin, Masood, Mohd, Rahman, Muhammad Aziz, Begg, Stephen
- Authors: Baker, John , Lenz, Katrin , Masood, Mohd , Rahman, Muhammad Aziz , Begg, Stephen
- Date: 2023
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 23, no. 1 (2023), p.
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- Description: 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. © 2023, BioMed Central Ltd., part of Springer Nature.
- Authors: Baker, John , Lenz, Katrin , Masood, Mohd , Rahman, Muhammad Aziz , Begg, Stephen
- Date: 2023
- Type: Text , Journal article
- Relation: BMC Public Health Vol. 23, no. 1 (2023), p.
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- Description: 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. © 2023, BioMed Central Ltd., part of Springer Nature.
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