Policies to Reduce Availability of Tobacco Products in the Retail Environment

Tessa van Deelen,A. E. Kunst,B. van den Putte, E. M. Veldhuizen, M. A. G. Kuipers

European journal of public health(2022)

Cited 0|Views0
No score
Abstract
Abstract Background After implementation of a tobacco vending machine ban in 2022 and a supermarket sales ban in 2024, the Dutch government intends to further phase out tobacco sales after 2030 by prohibiting sales in petrol stations and small outlets. This study aims to understand 1) the impact of these policies on tobacco outlet availability, and 2) differences in tobacco outlet availability by area socioeconomic status (SES) in the Netherlands. Methods Between September 2019 and June 2020, all potential tobacco retailers in four Dutch cities (Amsterdam, Eindhoven, Haarlem, and Zwolle) were visited and mapped using Global Positioning System (GPS). Expected reductions in tobacco outlet availability were calculated per policy measure. Tobacco outlet density was calculated using ESRI ArcMap version 10.4.1. The association between neighbourhood SES and tobacco outlet availability was estimated with linear and logistic regression model. Results We identified 870 tobacco outlets and an outlet density of 6.2/10.000 capita. The potential sales bans in petrol stations and small outlets would reduce the number of outlets (resp. -7% and -43%) and the outlet density (resp. -0.4 and -2.7). In Eindhoven, Haarlem, and Zwolle, neighbourhoods with high-SES compared to low-SES were less likely to contain a tobacco outlet (OR:0.71, 95%CI:0.59-0.85) and had a lower outlet density (ß:-1.20, 95%CI:-2.20;-0.20). In Amsterdam, the associations were inverse (OR:1.22, 95%CI:1.05-1.40; ß:3.50, 95%CI:0.81;6.20). Conclusions The availability of tobacco outlets varies within and between cities depending on the distribution of the built environment. Future tobacco control policies targeting the retail environment should focus on limiting the overall number tobacco outlets and especially small outlets, which may benefit low SES neighbourhoods in mid-sized cities most.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined