Retail Tobacco Marketing in Rural Versus Nonrural Counties: Product Availability, Discounts, and Prices

Randomised experiment for the effect of 'Tobacco-Free Nicotine' messaging on current e-cigarette users' perceptions, preferences and intentions

BACKGROUND

It is unclear whether emerging synthetic tobacco-free nicotine superiority messages such as 'better flavor and better experience' and 'no residual impurities of tobacco-derived nicotine' may impact consumer perception and product choice between synthetic and tobacco-derived nicotine vaping products.

METHODS

Through a 2022 online survey of current e-cigarette users, we identified synthetic nicotine never users for randomisation into an embedded between-subjects experiment. The test group (n=186) viewed a tobacco-free nicotine message versus no message control (n=168). Multivariable regressions assessed messaging effects on three comparative measures between tobacco-free and tobacco-derived nicotine: harm perception, purchase intention and willingness to pay.

RESULTS

Participants (n=354; age, mean (SD)=34.6 (11.1) years old) were recruited from geographically diverse regions with 27.7% rural residents. The overall sample comprised 44.1% females, 73.5% non-Hispanic white and 71.8% daily e-cigarette users. Sociodemographics and tobacco use status were not significantly different between two randomised groups. The test group (vs control) reported a higher intention to use tobacco-free than tobacco-derived nicotine vaping products (adjusted OR (AOR)=2.4, 95% CI 1.3 to 4.4, p=0.006) and willingness to pay more for tobacco-free nicotine vaping products (AOR=2.6, 95% CI 1.2 to 5.8, p=0.02). Urban (vs rural) synthetic-naïve vapers had lower harm perception (AOR=2.0, 95% CI 1.1 to 3.6, p=0.02) and higher intention to use tobacco-free than tobacco-derived nicotine vaping products (AOR=2.2, 95% CI 1.1 to 4.5, p=0.04); infrequent vapers were more willing to pay more for tobacco-free nicotine vaping products (AOR=1.1, 95% CI 1.03 to 1.17, p=0.002).

CONCLUSION

Tobacco-free nicotine marketing message may prompt the transition to and promote a price premium for such products. With the proliferation of products in the market, comprehensive regulation of emerging synthetic vaping products is needed.

Trends and determinants of tobacco use initiation in India: analysis of two rounds of the Global Adult Tobacco Survey

OBJECTIVES

Early initiation of tobacco use can lead to lifelong addiction and increases tobacco-attributable morbidity and mortality. This study assesses trends in tobacco use initiation and factors associated with tobacco use initiation using disaggregated data from two rounds of the Global Adult Tobacco Survey India (GATS; 2009-2010 (GATS 1) and 2016-2017 (GATS 2)).

DESIGN

Secondary analysis of repeated cross-sectional studies.

SETTINGS AND PARTICIPANTS

The study involved data from 69 296 individuals and 76 069 households in GATS 1 and 74 037 individuals and 77 170 households in GATS 2, two rounds of a nationally representative survey in India.

OUTCOME MEASURES

Mean age of initiation (as recalled by the participants) of smoked and smokeless tobacco (SLT) use (dependent variable) was compared and analysed across different sociodemographic variables (independent factors). We assessed change in mean age of initiation of tobacco usage on a daily basis between GATS 1 and GATS 2, and investigated the factors associated with early tobacco use initiation in the GATS 2 dataset (reported using adjusted ORs (aORs) with 95% CIs).

RESULTS

The mean age of initiation of smoked tobacco and SLT in GATS 2 was 20.9±8.5 and 22.3±10.6 years, compared with 18.5±9.7 and 19.7±12.0 years in GATS 1. The mean age of initiation increased with age and among those who were better aware of the adverse effects of tobacco. As per GATS 2, males initiated smoked tobacco and SLT use earlier (20.6±7.4 and 21.7±9.1) than females (23.3±14.2 and 23.2±12.6 years). Younger participants (15-24 years) reported earlier initiation of SLT (15.5±4.2 years) compared with others. Binary logistic regression depicted variables associated with early initiation of tobacco. Awareness about the harms caused by tobacco affected the odds of SLT (aOR 1.4, 95% CI 1.3 to 1.7) and dual usage initiation (1.8, 1.6 to 2.0), but not of initiation of smoked tobacco products (1.1, 0.9 to 1.2).

CONCLUSIONS

More robust health advocacy campaigns that communicate the harmful effects of tobacco on health could be useful to delay tobacco initiation, along with reducing the ease of access and affordability of tobacco products among vulnerable groups.

Socioecological Predictors of Change in Adolescent Tobacco Use Across Waves 1-4 of the Population Assessment of Tobacco and Health Study

BACKGROUND

Despite decreases in adolescents' cigarette use over the past decade, overall rates of adolescent tobacco use have increased. Research examining adolescents' changes across a range of tobacco products reflective of the current market, as well as multilevel predictors of use trajectories is needed.

METHODS

Data derive from Waves 1-4 (W1-4; 2013-2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 975 adolescents who used ≥1 tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at any wave (W1 Mage = 13.29 [0.86], 54.2% male; 54.5% White, 25.9% Hispanic).

RESULTS

Utilizing latent growth curve modeling (separate models per product), adolescents displayed increases in their past 30-day use of all tobacco products from W1-4. Greater W1 use was predicted by identifying as non-Hispanic (cigarettes); lower parent education (SLT); greater externalizing problems (cigarillos); greater motives (all products except cigarillos); greater youth-reported household smoking rules (cigarillos); and greater isolation (ECIGs). More use across time (i.e., higher slope) was predicted by older age (cigarettes); identifying as male (ECIGs, SLT), Black (vs. White; cigarillos), White (vs. Black, Hispanic; ECIGs, SLT); fewer externalizing problems (SLT); fewer motives (ECIGs); fewer youth-reported rules (cigarillos, SLT); and greater geographic isolation (cigarettes, SLT).

DISCUSSION

Although some individual-level factors (i.e., motives, externalizing problems) predicted greater W1 use (i.e., intercept) only, interpersonal- (parent rules) and community-level (geographic isolation) factors were associated with changes in use over time (i.e., slope). Intervention efforts may address such factors to reduce adolescents' escalations in use.

The changing retail landscape for tobacco: dollar stores and the availability of cheap cigarettes among tobacco-related priority populations

INTRODUCTION

Dollar stores are rapidly altering the retail landscape for tobacco. Two of the three largest chains sell tobacco products in more than 24 000 stores across the USA. We sought to examine whether dollar stores are more likely to be located in disadvantaged neighbourhoods and whether dollar stores charge less for cigarettes than other tobacco retailers.

METHODS

Data were collected from a statewide random sample of licensed tobacco retailers in California (n=7678) in 2019. Logistic regression modelled odds of a census tract containing at least one dollar store as a function of tract demographics. Linear mixed models compared price of the cheapest cigarette pack by store type, controlling for tract demographics.

RESULTS

Census tracts with lower median household income, rural status and higher proportions of school-age youth were more likely to contain at least one dollar store. The cheapest cigarette pack cost less in dollar stores compared with all store types examined except tobacco shops. Estimated price differences ranged from $0.32 (95% CI: 0.14 to 0.51) more in liquor stores and $0.39 (95% CI: 0.22 to 0.57) more in convenience stores, to $0.82 (95% CI: 0.64 to 1.01) more in small markets and $1.86 (95% CI: 1.61 to 2.11) more in stores classified as 'other'.

CONCLUSIONS

Dollar stores may exacerbate smoking-related inequities by contributing to the availability of cheaper cigarettes in neighbourhoods that are lower income, rural and have greater proportions of youth. Pro-equity retail policies, such as minimum price laws and density reduction policies, could mitigate the health consequences of dollar stores' rapid expansion.

Smoking and the widening inequality in life expectancy between metropolitan and nonmetropolitan areas of the United States

Background

Geographic inequality in US mortality has increased rapidly over the last 25 years, particularly between metropolitan and nonmetropolitan areas. These gaps are sizeable and rival life expectancy differences between the US and other high-income countries. This study determines the contribution of smoking, a key contributor to premature mortality in the US, to geographic inequality in mortality over the past quarter century.

Methods

We used death certificate and census data covering the entire US population aged 50+ between Jan 1, 1990 and Dec 31, 2019. We categorized counties into 40 geographic areas cross-classified by region and metropolitan category. We estimated life expectancy at age 50 and the index of dissimilarity for mortality, a measure of inequality in mortality, with and without smoking for these areas in 1990-1992 and 2017-2019. We estimated the changes in life expectancy levels and percent change in inequality in mortality due to smoking between these periods.

Results

We find that the gap in life expectany between metros and nonmetros increased by 2.17 years for men and 2.77 years for women. Changes in smoking-related deaths are responsible for 19% and 22% of those increases, respectively. Among the 40 geographic areas, increases in life expectancy driven by changes in smoking ranged from 0.91 to 2.34 years for men while, for women, smoking-related changes ranged from a 0.61-year decline to a 0.45-year improvement. The most favorable trends in years of life lost to smoking tended to be concentrated in large central metros in the South and Midwest, while the least favorable trends occurred in nonmetros in these same regions. Smoking contributed to increases in mortality inequality for men aged 70+, with the contribution ranging from 8 to 24%, and for women aged 50-84, ranging from 14 to 44%.

Conclusions

Mortality attributable to smoking is declining fastest in large cities and coastal areas and more slowly in nonmetropolitan areas of the US. Increasing geographic inequalities in mortality are partly due to these geographic divergences in smoking patterns over the past several decades. Policies addressing smoking in non-metropolitan areas may reduce geographic inequality in mortality and contribute to future gains in life expectancy.

Geographic isolation predicts tobacco product use among youth: A latent class analysis

PURPOSE

The purpose of the current study was to evaluate associations between geographic rurality and tobacco use patterns among adolescents.

METHODS

High school students (N = 566) from north-central Appalachia reported on their lifetime and/or current use of cigarettes, electronic cigarettes (ECIGs), cigars, and smokeless tobacco. Geographic rurality was measured via the Isolation scale, whereby residential ZIP Codes determined the degree to which respondents have access to health-related resources. Latent class analysis (LCA) was used to identify discrete classes of adolescent tobacco users based on their use of tobacco products. Then, associations between participants' geographic rurality and class membership were evaluated using a series of multinomial logistic regressions.

FINDINGS

LCA classified participants as Nonusers, Current ECIG Users, Cigarette/ECIG Experimenters, and Polytobacco Users. Individuals with higher Isolation scores were more likely to be Polytobacco Users and Cigarette/ECIG Experimenters than Nonusers, and were more likely to be Polytobacco Users than Current ECIG Users.

CONCLUSIONS

The continuous Isolation scale used in the present study predicted polytobacco use patterns among adolescents in a manner that is consistent with, while simultaneously expanding upon, prior work. Tobacco control practices and policies should be viewed through a lens that considers the unique needs of geographically isolated areas.

Piloting a spatial mixed method for understanding neighborhood tobacco use disparities

The tobacco retail environment is where most advertising dollars are spent. However, most research on the retail environment has not methodologically situated tobacco retailers as part of a larger community, and few studies have incorporated community member perspectives of their own tobacco use in relation to their local environments. The purpose of this study is to describe and evaluate a multilevel, multimodal, mixed methods approach for understanding tobacco use in context. We combine quantitative data collected from tobacco retailer audits and geographically-explicit interviews with neighborhood residents to tell a more complete story of tobacco use behavior among adults in San Francisco's Marina district, and the Oakland Coliseum neighborhood in Alameda County, California. We find that while area-level and retail data provide a broad snapshot of two distinct communities with respect to sociodemographic characteristics and tobacco availability, interviews with community residents who use tobacco add important perspectives regarding how tobacco retailers are viewed and how residents interact with their neighborhood landscapes on a daily basis. The method we describe and critique has the potential to be scaled to incorporate a broader set of geographies, or tailored to address a multitude of health-related questions. Our approach further demonstrates the utility of including geolocated participant narratives as a means of understanding where researcher interpretations of urban environments diverge from those of community residents.

Are California's Local Flavored Tobacco Sales Restrictions Effective in Reducing the Retail Availability of Flavored Tobacco Products? A Multicomponent Evaluation

INTRODUCTION

Flavored tobacco appeals to new users. This paper describes evaluation results of California's early ordinances restricting flavored tobacco sales.

METHODS

A multicomponent evaluation of proximal policy outcomes involved the following: (a) tracking the reach of local ordinances; (b) a retail observation survey; and (c) a statewide opinion poll of tobacco retailers. Change in the population covered by local ordinances was computed. Retail observations compared availability of flavored tobacco at retailers in jurisdictions with and without an ordinance. Mixed models compared ordinance and matched no-ordinance jurisdictions and adjusted for store type. An opinion poll assessed retailers' awareness and ease of compliance with local ordinances, comparing respondents in ordinance jurisdictions with the rest of California.

RESULTS

The proportion of Californians living in a jurisdiction with an ordinance increased from 0.6% in April 2015 to 5.82% by January 1, 2019. Flavored tobacco availability was significantly lower in ordinance jurisdictions than in matched jurisdictions: menthol cigarettes (40.6% vs. 95.0%), cigarillos/cigar wraps with explicit flavor descriptors (56.4% vs. 85.0%), and vaping products with explicit flavor descriptors (6.1% vs. 56.9%). Over half of retailers felt compliance was easy; however, retailers in ordinance jurisdictions expressed lower support for flavor sales restrictions.

CONCLUSIONS

The proportion of California's population covered by a flavor ordinance increased nine-fold between April 2015 and January 2019. Fewer retailers in ordinance jurisdictions had flavored tobacco products available compared to matched jurisdictions without an ordinance, but many still advertised flavored products they could not sell. Comprehensive ordinances and retailer outreach may facilitate sales-restriction support and compliance.