Differences in Cigarette Use and the Tobacco Environment Among Youth Living in Metropolitan and Nonmetropolitan Areas

Navigating Threats of Wildfires and Individual Rights to Adopt 100% Tobacco-Free Policy in Rural California Community Colleges

BACKGROUND

In California, all four-year public colleges have adopted 100% smoke-/tobacco-free policies (TFP) whereas community colleges (CCs), particularly rural CCs, are less likely to have tobacco-free environments. This raises concerns about health equity, particularly because smoking prevalence is higher in rural areas compared to urban. We examined policy adoption barriers and facilitators for rural California CCs with the aim of providing lessons learned to support TFP adoption by rural CCs and improve conditions for student health and well-being.

METHODS

A multiple case study of four CCs in California with (n = 2) and without (n = 2) TFPs was conducted. Semi-structured interviews with 12 campus and community stakeholders, school administrative data, and policy-relevant documents were analyzed at the case level with comparison across cases to identify key barriers, facilitators and campus-specific experiences.

RESULTS

All four CCs shared similar barriers to policy adoption including concerns about wildfires, individual rights, and fear of marginalizing people who smoke on campus. These CCs have experienced serious wildfires in the last ten years, have high community smoking prevalence, and fewer school resources for student health. For the two tobacco-free CCs, long-term wildfire mitigation efforts along with leadership support, campus/community partnerships and a collective approach involving diverse campus sectors were essential facilitators in successful TFP adoption.

CONCLUSION

Study results underscore contextual pressures and campus dynamics that impact tobacco control efforts at colleges in rural communities. Strategies to advance college TFP adoption and implementation should recognize rural cultural and community priorities.

A smoking cessation intervention for rural veterans tailored to individual risk factors: A multicenter randomized clinical trial

INTRODUCTION

Rates of cigarette use remain elevated among those living in rural areas. Depressive symptoms, risky alcohol use, and weight concerns frequently accompany cigarette smoking and may adversely affect quitting. Whether treatment for tobacco use that simultaneously addresses these issues affects cessation outcomes is uncertain.

METHODS

The study was a multicenter, two-group, randomized controlled trial involving mostly rural veterans who smoke (N = 358) receiving treatment at one of five Veterans Affairs Medical Centers. The study randomly assigned participants to a tailored telephone counseling intervention or referral to their state tobacco quitline. Both groups received guideline-recommended smoking cessation pharmacotherapy, selected using a shared decision-making approach. The primary outcome was self-reported seven-day point prevalence abstinence (PPA) at three and six months. The study used salivary cotinine to verify self-reported quitting at six months.

RESULTS

Self-reported PPA was significantly greater in participants assigned to Tailored Counseling at three (OR = 1.66; 95 % CI: 1.07-2.58) but not six (OR = 1.35; 95 % CI: 0.85-2.15) months. Post hoc subgroup analyses examining treatment group differences based on whether participants had a positive screen for elevated depressive symptoms, risky alcohol use, and/or concerns about weight gain indicated that the cessation benefit of Tailored Counseling at three months was limited to those with ≥1 accompanying concern (OR = 2.02, 95 % CI: 1.20-3.42). Biochemical verification suggested low rates of misreporting.

CONCLUSIONS

A tailored smoking cessation intervention addressing concomitant risk factors enhanced short-term abstinence but did not significantly improve long-term quitting. Extending the duration of treatment may be necessary to sustain treatment effects.

A double disparity: Rural sexual minorities and tobacco use among U.S. adults

BACKGROUND

Marginalized groups continue to face an uneven distribution of the risks and consequences of smoking cigarettes, with rural/urban geography and sexual orientation status examined independently. However, little is known about the intersection of rural/urban geography and sexual orientation regarding tobacco use disparities. This study examined rural-urban sexual minority differences in tobacco use in the United States.

METHODS

Data came from the 2018-2020 Behavioral Risk Factor Survey System (N = 675,221). We estimated cigarette smoking prevalence for each year of survey data by rural/urban status and sexual orientation. Multivariable logistic regressions were used to assess associations of rural/urban location and sexual orientation status with cigarette use. Additional Multivariable logistic regressions were conducted, including stratified analyses by sex on multiple sexual orientation categories.

FINDINGS

Cigarette smoking was higher among participants who lived in rural areas and identified as lesbian or gay and bisexual. Furthermore, the disparities in smoking rates were significantly different, with 38 % higher odds of smoking among rural sexual minorities than urban sexual minorities (aOR = 1.38, 95 % CI = 1.19, 1.60). Stronger odds of cigarette smoking were found among rural gays or lesbians (aOR = 1.83, 95 % CI = 1.47, 2.28) and rural bisexuals (aOR = 2.40, 95 % CI = 2.03, 2.84) compared to urban straight counterparts.

CONCLUSION

Findings highlight rural populations, particularly sexual minorities, might have an elevated risk of cigarette use. Prevention and cessation efforts that help these especially disadvantaged groups will be beneficial in addressing tobacco use disparities.

Evidence of the impact of a national anti-tobacco prevention campaign across demographic subgroups

Mass media campaigns are an effective population-level intervention for preventing tobacco use. However, little evidence exists for whether these campaigns similarly influence demographic subgroups. This study examined the effects of the truth® campaign to reduce tobacco use among demographic subgroups. We used data from a national, continuous, cross-sectional tracking survey of 15-24-year-olds (n = 32 331). We used a measure of weekly aggregated campaign exposure to assess whether cigarette smoking intentions and current cigarette use varied by race/ethnicity, financial situation and population density subgroups, controlling for factors known to be associated with tobacco use. Examining estimates across subgroup categories in light of the overall model estimates revealed that the effects of week-level campaign exposure on cigarette smoking intentions and current cigarette use were similar across subgroups. Wald tests of equality across estimates in each subgroup suggested that the estimates did not differ from one another in any given instance. The truth campaign does not differ significantly in its capacity to prompt declines in tobacco use across a broad spectrum of US youth and young adults. Mass media tobacco prevention campaigns can be an effective and critical component of a comprehensive tobacco control program, particularly with respect to reducing tobacco-related disparities among demographic subgroups.

Cumulative disadvantage as a framework for understanding rural tobacco use disparities

Traditional tobacco product (cigarettes and smokeless tobacco) and polytobacco use rates are significantly higher among rural adolescents and adults compared to their nonrural counterparts. Such disparities are due to several factors that promote tobacco use initiation and continuation, including individual-level psychopharmacological factors and structural-level factors such as fewer tobacco control efforts (e.g., fewer smoke-free policies and lower tobacco excise taxes), targeted tobacco marketing, less access to health-relevant resources, and more positive cultural norms surrounding tobacco use in rural communities. In this review, we use cumulative disadvantage theory as a framework for understanding how psychopharmacological and structural-level factors serve as drivers of tobacco use in rural areas. We start by describing how structural-level differences between rural-nonrural communities impact psychopharmacological influences and, when available, how these factors influence tobacco use. We conclude by discussing the interplay between factors, providing suggestions for ways to assess our application of cumulative disadvantage theory empirically and making recommendations for research and policy implementation in rural areas. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Rural-Urban Differences in Changes and Effects of Tobacco 21 in Youth E-cigarette Use

BACKGROUND

The prevalence of current electronic cigarette (e-cigarette) use has increased dramatically among US youth. It is unknown how the impact of policies to curb e-cigarette use might differ across rural and urban areas.

METHODS

Data were collected from an annual statewide survey of middle and high school students in Kansas. Multivariable logistic regression was performed to examine the temporal change in current e-cigarette use in 2018 and 2019 across rural and urban areas and across the areas with and without a Tobacco 21 (T21) policy that raises the minimum age of tobacco sales to 21 years.

RESULTS

Of 132 803 participants, the prevalence of current e-cigarette use increased from 8.2% in 2018 to 12.6% in 2019. The increase was larger in rural areas (from 6.7% in 2018 to 13.4% in 2019, difference = 6.7%) than in urban areas (9.8%-11.9%, difference = 2.1%), with a significant interaction effect of year × urbanicity/T21 group (P < .0001). In urban areas, e-cigarette use increased significantly for middle school students in T21 areas (3.3%-4.5%; P = .01) and all students in non-T21 areas (8.1%-12.0%; P < .0001). In rural areas, the increase in e-cigarette use was significant in both T21 and non-T21 areas for all students, but the increase was smaller in T21 (7.9%-10.8%, difference = 3.0%) than in non-T21 areas (6.5%-13.7%, difference = 7.1%).

CONCLUSIONS

In this study, we reported marked disparities in the increase of youth e-cigarette use, with a larger recent increase in rural than in urban areas. T21 policies appear to mitigate these increases in both rural and urban youth.

Shared and unique risk factors for tobacco use among rural versus urban adolescents

Researchers have proposed numerous factors that may contribute to rural adolescents' heightened risk for tobacco use. Some of these include well-known risk factors for tobacco use, whereas others concern factors unique to rural populations, reflecting norms and values ("rural culture") that accept and encourage tobacco use. This study aimed to test a broad range of tobacco-use risk factors to determine which were a) universal risk factors for both urban and rural adolescents vs. b) unique risk factors for rural adolescents. Data came from a prospective cohort study of 1220 adolescent males in Ohio who were aged 11-16 (average = 14 years) when surveyed at baseline (2015-2016). Follow-up surveys occurred every 6 months. The present study examined tobacco-use outcomes-prevalent use and incident use-by the two-year follow-up (2017-2018). Findings indicated a higher prevalence of ever-use of cigarette and smokeless tobacco among rural, vs. urban, adolescents at baseline. By the two-year follow-up, the urban/rural difference was attenuated but remained. Stratified multivariable logistic regression indicated that some baseline risk factors were associated with subsequent tobacco use for both rural and urban adolescents. Having an adult tobacco user in the home (for prevalent use) and susceptibility to a male family member offer of tobacco products (for both prevalent and incident use) were associated with tobacco use only for rural adolescents. These findings align with qualitative work demonstrating that masculinity and an intergenerational tobacco culture are important to male adolescents. This unique rural profile should be considered when developing prevention efforts.

The Natural Course of Cigarette Smoking among Adolescent Daily Smokers in France and Quebec

Objective:

To describe the natural course of cigarette smoking and nicotine dependence (ND) over 1-year in daily smokers ages 15 to 17 living in different social contexts.

Method:

Cigarette smoking and ND indicators were measured at baseline and 3- and 12-months thereafter among 95 daily smokers with a total of 123 observations from the Nicotine Dependence in Teens (NDIT) Study in Quebec, Canada, and in 111 daily smokers from the TABagisme chez les ADOlescents (TABADO) Study in Lorraine, France.

Results:

NDIT and TABADO participants initiated smoking a mean (SD) of 3.9 (1.6) and 3.7 (2.0) years prior to baseline, respectively. Despite baseline differences in age, sex, age at initiation, number of cigarettes smoked per day and social context, 85% of participants in both samples reported cravings and responded “yes” to “felt like you really need a cigarette”. Mean (SD) number of cigarettes smoked per day increased from 9.4 (8.1) to 11.8 (8.0) over 1 year in NDIT (adjusted mean difference (95% CI) = 2.4 (0.8, 3.0)), and from 11.5 (6.5) to 13.5 (6.7) in TABADO (adjusted mean difference (95% CI) = 2.0 (0.8, 3.1)). However, most ND indicators in both samples were stable over time and cessation was infrequent.

Conclusion:

Despite notable differences across samples, the natural course of cigarettes smoked per day, ND symptoms and cessation was similar, suggestive of an underlying biologic rather than social process. To quit, adolescents who smoke daily will likely need (pharmacologic) intervention to counter the biological mechanisms underpinning ND, as well as complementary strategies targeting the social context such as creating social environments favoring cessation success.

Associations between Appalachian youth tobacco consumption and communication channel use

INTRODUCTION

Youth tobacco use rates in Appalachia exceed the US national average, and e-cigarette use has increased. Thus, further research is needed to understand how these youth receive and share product information.

METHODS

Middle and high school students in rural Appalachia were surveyed (N=1103). The primary outcome, tobacco use, was categorized as: never users, cigarette-only users, smokeless-only users, e-cigarette-only users, and polytobacco users. Associations between receiving or sharing conventional tobacco-related or e-cigarette-related information via specific communication channels and tobacco use were assessed.

RESULTS

Participants who received tobacco information from friends and family (FF) (OR=1.87; 95% CI: 1.35–2.57), public displays (PUB) (OR=1.49; 95% CI: 1.09–2.05), and digital media (DIG) (OR=1.95; 95% CI: 1.41–2.70) and e-cigarette information via the same communication channels, FF (OR=2.65; 95% CI: 1.93–3.65), PUB (OR=1.62; 95% CI: 1.17–2.26), and DIG (OR=2.24; 95% CI: 1.61–3.12), had greater odds of being polytobacco users, compared to never users. Participants who received e-cigarette-related information from FF (OR=2.42; 95% CI: 1.42–4.13) and PUB (OR=2.13; 95% CI: 1.25–3.65) had greater odds of being e-cigarette-only users compared to never users. Participants who shared e-cigarette-related information with FF had greater odds of being e-cigarette-only users (OR=3.16; 95% CI: 1.80–5.58) and polytobacco users (OR=4.48; 95% CI: 3.16–6.35) compared to never users.

CONCLUSIONS

Receiving and sharing tobacco-related and e-cigarette-related information via multiple communication channels is associated with e-cigarette and polytobacco use among Appalachian youth. Several channels may need to be utilized in health campaigns to influence youth.

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

Objectives. To assess tobacco product availability, advertised discounts, and prices in rural and nonrural stores, comparing results for two definitions of rural. Method. This geospatial study linked data from marketing surveillance in a representative sample of licensed tobacco retailers in California (n = 1,276) and categorized rural/nonrural stores at the county and tract levels. Data were collected from January to March, 2017, and mixed-models analyses tested for differences by location (rural vs. nonrural). Results. Compared to nonrural stores, rural-county stores were 2.1 (95% confidence interval [CI; 1.2, 3.6]) times more likely to sell chewing tobacco and 2.5 (95% CI [1.4, 4.2]) times more likely to sell roll-your-own. Rural-county stores sold larger packs of cigarillos for less than $1 (coefficient = 0.22, 95% CI [0.05, 0.39]) and charged less for the cheapest cigarette pack regardless of brand (estimated mean difference = $-0.21, 95% CI [-0.39, -0.03]). Contrary to expectation, a popular brand of chewing tobacco cost more in rural-county stores. A tract-level definition of rural reclassified only 1 in 10 stores, and did not substantially alter the results. Overall, 32.9% of stores advertised discounts on chewing tobacco, but this was more common in rural than nonrural census tracts (adjusted odds ratio = 1.81, 95% CI [1.14, 2.88]). Discussion. Evidence that $1 buys more cigarillos in rural-county stores than elsewhere adds to health equity concerns that the prevalence of cheap, flavored tobacco is not limited to neighborhoods characterized by socioeconomic disadvantage, higher proportions of African Americans, and higher proportions of school-age youth. Policies that focus on the retail environment for tobacco are needed to make tobacco less attractive and more costly everywhere, including rural areas.

Pro-tobacco marketing and anti-tobacco campaigns aimed at vulnerable populations: A review of the literature

INTRODUCTION

We reviewed research literature on pro-tobacco marketing and anti-tobacco campaigns targeting eight vulnerable populations to determine key findings and research gaps. Results can inform tobacco policy and control efforts and the design of public education campaigns for these groups.

METHODS

Five journal databases in medicine, communication, and science, were used to identify 8875 peer-reviewed, original articles in English, published in the period 2004-2018. There were 144 articles that met inclusion criteria on pro-tobacco marketing or anti-tobacco campaigns aimed at eight US groups: women of reproductive age, racial/ethnic minority groups (African American, Hispanic/Latino, Asian/Pacific Islander and American Indian/Alaska Native), Lesbian/Gay/Bisexual/Transgender (LGBT) populations, groups with low socioeconomic status, rural/inner city residents, military/veterans, and people with mental health or medical co-morbidities. We summarized the number of articles for each population, type of tobacco, and pro-tobacco or anti-tobacco focus. Narrative summaries were organized by population and by pro-tobacco or anti-tobacco focus, with key strategies and gaps by group.

RESULTS

There were more studies on pro-tobacco marketing rather than anti-tobacco campaigns, and on cigarettes rather than other tobacco products. Major gaps included studies on Asian Americans, American Indian/Alaska Natives, pregnant women, LGBT populations, and those with mental health or medical co-morbidities. Gaps related to tobacco products were found for hookah, snus, and pipe/roll-your-own tobacco in the pro-tobacco studies, and for all products except cigarettes in anti-tobacco studies. Common tobacco industry methods used were tailoring of product and package design and messages that were used to reach and appeal to different sociodemographic groups. Studies varied by research design making it difficult to compare results.

CONCLUSIONS

We found major research gaps for specific groups and tobacco products. Public education campaigns need a stronger foundation in empirical studies focused on these populations. Research and practice would benefit from studies that permit comparisons across studies.

Rural-urban disparities in tobacco retail access in the southeastern United States: CVS vs. the dollar stores

Objectives

CVS, the largest US pharmacy chain, discontinued selling tobacco products in 2014; meanwhile, Family Dollar and Dollar General, the two largest dollar store chains, began selling tobacco in 2012 and 2013, respectively. The purpose of this study is to evaluate the differential change in tobacco retailer density (TRD) by rurality throughout 12 Southeastern US states.

Methods

Tobacco retailer density was calculated for CVS and dollar store locations and combined to represent retailer density change before and after policy changes. Bivariate analyses were conducted to compare the corporate-initiated changes in county-level retailer density across rurality categories.

Results

Findings suggest a statistically significant difference (p < 0.0001) between TRD effect and rurality. Urban counties together experienced a retailer density increase of 0.4 stores per 10 k adult population, while rural counties reported a TRD increase of 2.6—eight (8) times the increase in urban areas.

Conclusions

Recent corporate policy changes on tobacco sales have increased access to tobacco retailers in rural counties considerably more than in urban counties, contributing to further disparities. CVS pharmacies discontinuing tobacco sales caused a decrease in retail density in urban areas, and the decision of the dollar stores locations initiating tobacco sales resulted in a greater burden to rural and small-metro counties.

Rural-Urban Differences in the Decline of Adolescent Cigarette Smoking

OBJECTIVES

To examine change over time in cigarette smoking among rural and urban adolescents and to test whether rates of change differ by rural versus urban residence.

METHODS

We used the 2008 through 2010 and 2014 through 2016 US National Survey of Drug Use and Health to estimate prevalence and adjusted odds of current cigarette smoking among rural and urban adolescents aged 12 to 17 years in each period. To test for rural-urban differences in the change between periods, we included an interaction between residence and time.

RESULTS

Between 2008 to 2010 and 2014 to 2016, cigarette smoking rates declined for rural and urban adolescents; however, rural reductions lagged behind urban reductions. Controlling for socioeconomic characteristics, rural versus urban odds of cigarette smoking did not differ in 2008 through 2010; however, in 2014 through 2016, rural youths had 50% higher odds of smoking than did their urban peers.

CONCLUSIONS

Differential reductions in rural youth cigarette smoking have widened the rural-urban gap in current smoking rates for adolescents. Public Health Implications. To continue gains in adolescent cigarette abstinence and reduce rural-urban disparities, prevention efforts should target rural adolescents.

Correlates of Tobacco Use and Consumption Among Hospitalized Psychiatric Patients

Using a cross-sectional analysis, we assessed correlates of tobacco use and tobacco consumption from inpatient records (N = 2,060) from a state psychiatric hospital. We used multivariate logistic regression analyses to examine correlates of tobacco use in the total sample and multivariate linear regression to examine correlates of tobacco consumption among tobacco users. Tobacco-use associated variables in the total sample were being male, being White, lower education, having a substance-use disorder/treatment, having an externalizing or psychotic disorder, being from a rural county, being younger, and shorter length of hospital stay. Among tobacco users (n = 1,153), correlates of amount of tobacco consumption were being male; being White; lower education; having an internalizing, externalizing, and psychotic disorder; using cigarettes; and living in a county without a smoke-free policy. Psychiatric patients should be screened for specific associative variables as part of tobacco-use assessments. Future research may expand on the current findings to develop strategies to enhance tobacco treatment among psychiatric patients.