Youth daily exposure to tobacco outlets and cigarette smoking behaviors: does exposure within activity space matter?

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.

The integration of geographic methods and ecological momentary assessment in public health research: A systematic review of methods and applications

With the widespread prevalence of mobile devices, ecological momentary assessment (EMA) can be combined with geospatial data acquired through geographic techniques like global positioning system (GPS) and geographic information system. This technique enables the consideration of individuals' health and behavior outcomes of momentary exposures in spatial contexts, mostly referred to as "geographic ecological momentary assessment" or "geographically explicit EMA" (GEMA). However, the definition, scope, methods, and applications of GEMA remain unclear and unconsolidated. To fill this research gap, we conducted a systematic review to synthesize the methodological insights, identify common research interests and applications, and furnish recommendations for future GEMA studies. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines to systematically search peer-reviewed studies from six electronic databases in 2022. Screening and eligibility were conducted following inclusion criteria. The risk of bias assessment was performed, and narrative synthesis was presented for all studies. From the initial search of 957 publications, we identified 47 articles included in the review. In public health, GEMA was utilized to measure various outcomes, such as psychological health, physical and physiological health, substance use, social behavior, and physical activity. GEMA serves multiple research purposes: 1) enabling location-based EMA sampling, 2) quantifying participants' mobility patterns, 3) deriving exposure variables, 4) describing spatial patterns of outcome variables, and 5) performing data linkage or triangulation. GEMA has advanced traditional EMA sampling strategies and enabled location-based sampling by detecting location changes and specified geofences. Furthermore, advances in mobile technology have prompted considerations of additional sensor-based data in GEMA. Our results highlight the efficacy and feasibility of GEMA in public health research. Finally, we discuss sampling strategy, data privacy and confidentiality, measurement validity, mobile applications and technologies, and GPS accuracy and missing data in the context of current and future public health research that uses GEMA.

Spatial and Environmental Correlates of Prevalence of Treatment for Substance Use Disorders, Retention, and SUD Services Utilization in South Sardinia

This study explored the economic, social, and spatial correlates of treatment prevalence, retention, and service utilization for substance use disorder (SUD) in South Sardinia. Data from 1,667 patients with an ICD-10 diagnosis of SUD were extracted from the medical records of individuals assisted by three public addiction services in 2019. We used a spatial autoregressive model, a parametric proportional hazard model, and Poisson regression to examine the associations of spatial factors and residents' socioeconomic status with the prevalence of treatment at the census block level, treatment retention, and SUD service utilization at the individual level. The prevalence was higher among residents of areas closer to competent treatment centers, with the worst building conservation status, a lower percentage of high school and university graduates, and a higher percentage of unemployed, divorced, separated, or widowed residents. Men who were older at the time of their first treatment access; primary users of cocaine, cannabis, and alcohol; had higher education level; and who lived far from competent treatment centers and closer to drug trafficking centers interrupted their treatment earlier. Primary heroin users experienced more SUD treatment encounters. Living in economically and socially disadvantaged areas and near treatment facilities was associated with a higher prevalence, whereas living near drug-dealing centers and far from competent treatment centers was associated with a decrease in treatment retention.

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.

Objective and perceived measures of tobacco marketing are uniquely associated with cigar use

BACKGROUND

Few studies have examined associations between perceived and objective exposure to tobacco marketing and cigar use, which is the second most commonly used tobacco product by youth.

METHODS

We used Geographic Ecological Momentary Assessment data over 14 days from youth aged 16-20 years (n=83 participants, n=948 observations; 34% past month users of any tobacco product) in eight city areas in California. Tobacco outlets in study cities were visited by trained observers to record outlet Global Positioning System (GPS) point locations and outdoor tobacco marketing. We assessed daily perceived exposure to tobacco marketing within participants' activity spaces; daily objective exposure to tobacco outlets with outdoor marketing within 50 m of activity space polylines (number of outlets and time spent near outlets) and daily cigar use excluding and including blunts.

RESULTS

Controlling for demographics and baseline tobacco use, results from mixed logistic regression models showed that greater perceived exposure to tobacco marketing was positively associated with higher odds of cigar use each day, excluding blunts (adjusted odds ratios (aOR): 2.00; 95% CI 1.03 to 3.87) and including blunts (aOR: 1.87; 95% CI 1.26 to 2.77). Also, exposure to a greater number of tobacco outlets with outdoor marketing was associated with higher odds of cigar use each day, excluding blunts (aOR: 1.34; 95% CI 1.01 to 1.78), but not including blunts.

CONCLUSIONS

Tobacco control efforts should consider both perceived and objective exposure to tobacco marketing and unique associations with blunt use to prevent cigar use.

Is social-ecological risk associated with individual HIV risk beliefs and behaviours?: An analysis of Kenyan adolescents' local communities and activity spaces

The places where adolescents live, learn, and play are thought to influence behaviours and health, but we have limited tools for measuring environmental risk on a hyperlocal (e.g. neighbourhood) level. Working with 218 adolescents and their parents/guardians in rural western Kenya, we combined participatory mapping activities with satellite imagery to identify adolescent activity spaces and create a novel measure of social-ecological risks. We then examined the associations between social-ecological risk and individual HIV risk beliefs and behaviours. We found support for the conjecture that social-ecological risks may be associated with individual beliefs and behaviours. As social-ecological risk increased for a sample of Kenyan adolescents, so did their reports of riskier sex beliefs and behaviours, as well as unsupervised outings at night. This study reinforces calls for disease prevention approaches that go beyond emphasising individual behaviour change.

Tobacco retail availability and cigarette and e-cigarette use among youth and adults: a scoping review

OBJECTIVE

States and localities are formulating strategies to reduce the widespread retail availability of tobacco products. Evidence of associations between retailer density/proximity and tobacco use outcomes can help inform those strategies. We conducted a scoping review on tobacco retail availability and cigarette/e-cigarette use in adults and youth, and considered variations in spatial units, measures of retailer exposure and outcomes across studies.

METHODS

A systematic search for studies examining the association between retailer density/proximity and youth and adult cigarette/e-cigarette use was conducted across MEDLINE (PubMed), Web of Science and Google Scholar through 27 August 2020 with no restrictions.

RESULTS

Thirty-five studies were included in our qualitative synthesis. While there were differences in neighbourhood definitions (eg, egocentric vs administrative), there is evidence for a positive association between higher retailer density in egocentric neighbourhoods around homes and current smoking in adults and adolescents. Administrative unit measures in some studies showed associations with adult current smoking, and adolescent lifetime and current smoking. Studies on tobacco outlet proximity to homes obtained mixed results. Density/proximity of tobacco outlets around schools showed no or inverse association with adolescent smoking, but suggests higher susceptibility to smoking. Evidence of an association between e-cigarette retail availability and e-cigarette use is limited due to a small number of studies.

CONCLUSION

The current literature provides limited empirical evidence of the association between tobacco retailer availability and smoking or e-cigarette use. More research with uniform measures of environmental exposure to tobacco retailers is needed to allow for greater comparability between studies.

Youth tobacco and cannabis use and co-use: Associations with daily exposure to tobacco marketing within activity spaces and by travel patterns

BACKGROUND

We investigated youth daily activity spaces, travel patterns, exposure to tobacco retail marketing, and tobacco and cannabis use and co-use.

METHODS

Data included 1,060 daily assessments from 100 participants (16-20 years old) in 8 California cities. Using GPS-enabled smartphones with a survey application, youth completed brief daily surveys, and location coordinates were obtained at one-minute intervals. Tobacco outlets in study cities were visited by observers to record outlet GPS point locations and data concerning tobacco marketing. Tobacco outlet addresses and GPS location coordinates were geocoded. Activity spaces were constructed by joining sequential location points. Measures included the number of outlets with outdoor tobacco marketing within 50 m of activity space polylines and the amount of time participants were within 50 m of these outlets each day. Participants also reported tobacco and cannabis use and whether they saw tobacco ads by their neighborhood, school, workplace, and anywhere else each day. Additionally each day they reported how much time they traveled by different modes of transportation, with parents/guardians, and with friends.

RESULTS

In mixed effects multinomial regression models, perceived exposure to tobacco marketing was associated with co-use of tobacco and cannabis on a given day (RRR = 1.66, p < 0.05). Although perceived exposure to tobacco marketing was not associated with tobacco use only, moderation analysis indicated that the likelihood of tobacco use was greater among youth who walked/biked/skated more (RRR = 5.22, p < 0.05).

CONCLUSION

Perceived exposure to tobacco marketing contributes to youth tobacco and cannabis use or co-use, especially for those who travel by walking/biking/skating.

Retail endgame strategies: reduce tobacco availability and visibility and promote health equity

An increasing number of countries have set tobacco endgame goals that target dramatic reductions in smoking prevalence. To achieve those targets and promote health equity, policies are needed to reduce the retail supply and visibility of tobacco products. Focusing on retailer reduction strategies and tobacco display bans, this special communication reviews solution-oriented research about the retail environment. It highlights examples of policy implementation and identifies data needs and research gaps for designing and evaluating retail policies to promote population health equitably.

Association between school-based tobacco retailer exposures and young adolescent cigarette, cigar and e-cigarette use

BACKGROUND

Associations between retail tobacco availability and tobacco use have been mixed. This study examined associations between school-based retail environment exposures and current use of cigarettes, cigar products and e-cigarettes among middle school youth in Cleveland, OH.

METHODS

Retailers selling tobacco products were identified using the 2015 Cleveland Food Retail Database (n=639 stores). Youth survey data were drawn from the 2016 Cleveland Youth Risk Behavior Survey, administered to all 7th/8th graders across the Cleveland Metropolitan School District (n=3778, response rate=83.0%). Past 30-day cigarette, cigar product and e-cigarette use were assessed. Student demographics, number of days walking to/from school each week and number of times youth stopped at a retailer to/from school each week were included. For each school (n=63), tobacco retail density (TRD) and proximity (TRP) to nearest retailer were calculated for each product. Multiple regression analysis assessed associations between retail exposures and youth tobacco use.

RESULTS

Across all schools, 3.9%, 10.2% and 8.6% of students currently use cigarettes, cigar products and e-cigarettes, respectively, and 15.2% currently use at least one tobacco product. TRD and TRP were not associated with current use; frequency of walking to school and stopping at retailers were strongly associated with current use.

CONCLUSIONS

Although TRD and TRP were not significantly associated with tobacco product use, youth who reported regularly walking to/from school or who reported stopping at a retail store before/after school were significantly more likely to be a current tobacco product user. This may be due to increased exposure to exterior and point-of-sale marketing.

Tobacco Retail Environment and Smoking: A Systematic Review of Geographic Exposure Measures and Implications for Future Studies

INTRODUCTION

To review the geographic exposure measures used to characterize the tobacco environment in terms of density of tobacco outlets and proximity to tobacco outlets, and its association with smoking-related outcomes.

METHODS

We used PubMed and Google Scholar to find articles published until December 2019. The search was restricted to studies that (1) measured the density of and/or proximity to tobacco outlets and (2) included associations with smoking outcomes. The extraction was coordinated by several observers. We gathered data on the place of exposure, methodological approaches, and smoking outcomes.

RESULTS

Forty articles were eligible out of 3002 screened papers. Different density and proximity measures were described. 47.4% density calculations were based on simple counts (number of outlets within an area). Kernel density estimations and other measures weighted by the size of the area (outlets per square kilometer), population, and road length were identified. 81.3% of the articles which assessed proximity to tobacco outlets used length distances estimated through the street network. Higher density values were mostly associated with higher smoking prevalence (76.2%), greater tobacco use and smoking initiation (64.3%), and lower cessation outcomes (84.6%). Proximity measures were not associated with any smoking outcome except with cessation (62.5%).

CONCLUSION

Associations between the density of tobacco outlets and smoking outcomes were found regardless of the exposure measure applied. Further research is warranted to better understand how proximity to tobacco outlets may influence the smoking outcomes. This systematic review discusses methodological gaps in the literature and provides insights for future studies exploring the tobacco environment.

IMPLICATIONS

Our findings pose some methodological lessons to improve the exposure measures on the tobacco outlet environment. Solving these methodological gaps is crucial to understand the influence of the tobacco environment on the smoking outcomes. Activity spaces should be considered in further analyses because individuals are exposed to tobacco beyond their residence or school neighborhood. Further studies in this research area demand density estimations weighted by the size of the area, population, or road length, or measured using Kernel density estimations. Proximity calculations should be measured through the street network and should consider travel times apart from the length distance.