Bans on tobacco display, advertising and vending machines in the Netherlands: impact on visibility of tobacco and compliance of retailers.

INTRODUCTION: Visibility of tobacco products at retail tobacco outlets is associated with smoking initiation. To address this, across 2020-2022 the Netherlands banned tobacco product displays, advertisements and vending machines in the retail environment. Tobacco/vape specialist shops were exempted. This study assessed the impact of these policies on tobacco visibility in the retail environment and retailer compliance. METHODS: We conducted observational audits of all tobacco outlets in four Dutch cities (Amsterdam, Haarlem, Eindhoven and Zwolle) between 2019 and 2022 (before and after policy implementation), assessing visibility of tobacco products and advertisements, compliance and remaining sources of tobacco visibility (after implementation). We described results by location and outlet type. RESULTS: The number of tobacco outlets with any tobacco advertising or product visibility declined from 530 to 267 (-50%). Among outlets not exempt from the ban, the number with visibility declined from 449 to 172 (-62%), with lower postban visibility in petrol stations (12%) and supermarkets (6%) than small shops (47%). Visibility among tobacco/vape shops increased by 17%. Tobacco product displays remained the main source of visibility. 93% of tobacco vending machines were removed. Maps showed that non-compliance is concentrated in Amsterdam's city centre and more evenly distributed in other cities. CONCLUSION: The bans on tobacco display and tobacco advertising halved the visibility of tobacco in the retail environment, and the vending machine ban practically eradicated vending machines. To further reduce tobacco visibility, violations in small shops should be addressed and tobacco visibility should be regulated in currently exempt tobacco specialist shops.

Socioeconomic differences in tobacco outlet presence, density, and proximity in four cities in the Netherlands.

BACKGROUND: Previous studies found that tobacco outlets were unevenly distributed by area socioeconomic status (SES). However, evidence from continental Europe is limited. This study aims to assess differences in tobacco outlet presence, density and proximity by area SES in the Netherlands. METHODS: All tobacco outlets in four Dutch cities (Amsterdam, and medium-sized cities Eindhoven, Haarlem, and Zwolle) were mapped between September 2019 and June 2020. We estimated associations between average property value of neighbourhoods (as an indicator of SES, grouped into quintiles) and (1) tobacco outlet presence in the neighbourhood (yes/no), (2) density (per km2), and (3) proximity to the closest outlet (in meters), using logistic and linear regression models. RESULTS: 46% of neighbourhoods contained at least one tobacco outlet. Tobacco outlets were mostly situated in city centres, but the distribution of tobacco outlets varied per city due to differences in urban structures and functions. In the medium-sized cities, each quintile higher neighbourhood-SES was associated with lower tobacco outlet presence (OR:0.71, 95%CI:0.59;0.85), lower density (B:-1.20 outlets/km2, 95%CI:-2.20;-0.20) and less proximity (B:40.2 m, 95%CI 36.58;43.83). Associations were the other way around for Amsterdam (OR:1.22, 95%CI:1.05;1.40, B:3.50, 95%CI:0.81;6.20, and B:-18.45, 95%CI:-20.41;-16.49, respectively). Results were similar for most types of tobacco outlets. CONCLUSION: In medium-sized cities in the Netherlands, tobacco outlets were more often located in low-SES neighbourhoods than high-SES. Amsterdam presented a reverse pattern, possibly due to its unique urban structure. We discuss how licensing might contribute to reducing tobacco outlets in low-SES neighbourhoods.

Ex ante evaluation of the impact of tobacco control policy measures aimed at the point of sale in the Netherlands.

INTRODUCTION: The Netherlands aims to implement stricter tobacco control policies targeting the retail environment. This paper is an ex ante policy evaluation of the potential impact of the current tobacco display and advertising ban as well as future tobacco sales bans on tobacco outlet visibility and availability. 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. For each retailer selling tobacco, we completed a checklist on the visibility of tobacco products and advertising. Expected reductions in tobacco outlet visibility and availability were calculated per policy measure in absolute numbers (percentage or percentage point decrease) as well as density and proximity. RESULTS: Out of 870 tobacco outlets, 690 were identified with visible tobacco products/advertising. The display ban in supermarkets and small outlets (respectively) is expected to decrease the number (-15; -42 percentage points), outlet density per 10 000 capita (-0.9; -2.6) and proximity in metres (+27 m; +400 m) of outlets with visible products/advertising. The upcoming bans on vending machines and sales in supermarkets are expected to decrease the number (-12%; -31%), density (-0.7; -1.9) and proximity (+12 m; +68 m) of tobacco outlets. Further changes in the number, density and proximity (respectively) of tobacco outlets may be achieved with future sales bans in petrol stations (-7%; -0.4; +60 m) and particularly with a ban on sales in small outlets (-43%; -2.7; +970 m). CONCLUSION: A display ban and a sales ban in small outlets will contribute most to reducing tobacco outlet visibility and availability, assuming that no market shift towards other tobacco outlets will take place.

The association between objectively measured exposure to tobacco outlets and smoking cognitions: a study among non-smoking adolescents in four Dutch cities.

AIMS: Exposure to tobacco products and advertising at the point of sale may be associated with pro-smoking cognitions. However, previous studies on this topic measured exposure based on self-report and did not include European countries. The aim of this study was to assess the association between objectively measured exposure to tobacco outlets and non-smoking adolescents' smoking attitudes, beliefs and norms. DESIGN: This cross-sectional study combined survey data with Global Positioning Systems data using geographic information system. SETTING: The four Dutch cities of Amsterdam, Eindhoven, Haarlem and Zwolle. PARTICIPANTS: We retrieved data of 308 13 to 17-year-old non-smoking adolescents, mainly girls (61%), adolescents attending pre-university secondary education (71%) and without smoking friends (58%). MEASUREMENTS: Exposure was measured with a smartphone app registering for 2 weeks how often participants were within 10 m of a tobacco outlet. We distinguished between outlets without visible tobacco promotion (i.e. supermarkets), with only internal visibility and with both internal and external visibility. Participants' reported smoking cognitions were dichotomised into pro-smoking or anti-smoking. We applied multi-level logistic regression analyses and adjusted for age, sex, educational level and smoking friends. FINDINGS: On average, adolescents were exposed to 1.18 (SD = 1.23) tobacco outlets per day. Higher exposure to tobacco outlets was associated with higher odds of pro-smoking injunctive norm ( OR = 1.35, 95% CI = 1.04-1.75). Associations with attitude (OR = 1.12, 95% CI = 0.91-1.38), social beliefs (OR = 1.15, 95% CI = 0.93-1.43), health beliefs (OR = 1.18, 95% CI = 0.97-1.44) and descriptive norm (OR = 1.15, 95% CI = 0.91-1.44) were also positive, but non-significant. Overall, associations were strongest for outlets with internal visibility, for instance, for injunctive norm (OR = 1.37, 95% CI = 1.03-1.81). CONCLUSIONS: Global Positioning Systems-measured exposure to tobacco outlets was associated with pro-smoking cognitions among non-smoking adolescents in the Netherlands.

Educational inequalities in exposure to tobacco promotion at the point of sale among adolescents in four Dutch cities.

This study aimed to assess educational differences in adolescents' exposure to tobacco outlets. Data were collected among 312 13-17-year-old non-smoking secondary school students in four Dutch cities. In a smartphone app, exposure (≤10 m from outlet) was measured using GPS and participants reported their educational track (pre-vocational vs. pre-university). Associations were estimated in negative binomial regression models. Mean exposure to tobacco outlet was 16.6 times in 14 days. Pre-vocational education was associated with higher exposure compared to pre-university education (IRR:1.46, 95%CI:1.08-1.98), especially around school (IRR:2.61,95%CI:1.50-4.55). These differences may contribute to socioeconomic inequalities in smoking.

Tobacco Retailers' Support for Point-of-Sale Tobacco Control Policies in England: Association Study of Retailers' Perceived Importance of Tobacco Sales, Contact with the Tobacco Industry, and the Perceived Impact of the Policy.

INTRODUCTION: Political acceptability and successful implementation of tobacco control policies at the point of sale may depend on, among other factors, tobacco retailers' level of support for these policies. This study quantified the level of support among small tobacco retailers for four point-of-sale tobacco control policies and its association with three predictors. METHODS: We used cross-sectional telephone survey data (August 2019) of 508 small tobacco retailers in England. Weighted logistic regression analyses examined associations between support for the product display ban, price display ban, minimum pack size, and standardized packaging, and self-reported importance of tobacco sales for a business, contact with the tobacco industry, and the perceived impact of the policy on their overall business. RESULTS: A majority of retailers support minimum pack size (66%), product display ban (65%), price display ban (54%), and standardized packaging (55%). The importance of tobacco sales was not associated with support for the policies. More frequent contact with the tobacco industry was associated with higher odds of support for minimum pack size (OR: 2.01, 95%CI:1.25-3.21), but not with the other three policies. The negative perceived impact of the policies, compared with neutral, was associated with 1.5 to three times lower odds of support for all four policies. CONCLUSION: In England, small retailers' support for the four point-of-sale tobacco control policies varied between 54% and 66%. Support seems unrelated to the perceived importance of tobacco sales, and contact with the tobacco industry, but seems strongly related to the perceived impact of tobacco control policies on their business. IMPLICATIONS: This study shows that small independent retailers' support for point-of-sale (PoS) tobacco control policies is fairly high and that the lack of support voiced by retail trade organizations is not representative of the views of retailers in England. Support rates may be further improved by addressing retailers' perceptions of the impact of policies on their business. Support was not related to retailers' perceived importance of tobacco sales for their business and their contact with the tobacco industry. The industry rhetoric is not supported by our findings, as the majority of small independent retailers in England support tobacco control regulations.

Dutch youth's smoking behaviour during a partial Covid-19 lockdown.

Previous research found that adult smokers increased their smoking in response to the Covid-19 lockdown in spring 2020. This study explored changes in youth's smoking during, compared to before, the partial lockdown in the Netherlands in a cross-sectional sample of 287 adolescents. Smoking prevalence increased from 4.5% to 5.2%. Cigarette consumption remained the same on school days and increased with +1.9 cigarettes per weekend day. The largest increase in cigarette consumption on weekend days was observed for adolescents who 1) did not consider smoking a risk factor for contracting Covid-19 (+4.5), 2) had smoking siblings (+4.1), and 3) had smoking friends (+2.4). Youth without smoking friends (-0.8) and who considered smoking a risk factor for Covid-19 (-0.2) decreased their cigarette consumption.