Rural-Urban Differences in the Decline of Adolescent Cigarette Smoking

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.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study

BACKGROUND

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables.

RESULTS

There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs.

CONCLUSIONS

This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Tobacco use disparities in rural communities

PURPOSE

This exploratory study described facilitators and barriers to reducing tobacco disparities in 2 small rural communities and identified ways to reduce tobacco use.

METHODS

This was a descriptive design using qualitative methods. We created a resource database for 2 rural Kentucky counties, using a Culture of Health Framework. We recruited 16 organizational stakeholders serving low-socioeconomic populations and conducted focus groups and key informant interviews. We also completed key informant interviews with 7 tobacco users. Lastly, we tailored Community Action Plans for each county based on the data and then solicited feedback from the key stakeholders.

FINDINGS

The 2 counties were similar in population size, but County A had fewer resources than County B, and the stakeholders expressed differences toward tobacco use and quitting. County A stakeholders talked most about the protobacco culture and that tobacco users accept the risks of smoking outweighing the benefits of quitting; they also expressed concerns about youth use and the influences of family, society, and industry. County B stakeholders described ambivalence about the health effects of use and quitting. County A's Action Plan identified an opportunity to build Community Health Worker-delivered tobacco treatment into a new school-based health center. County B's Action Plan focused on reaching tobacco users by providing incentives for participation and tailoring messages to different audiences.

CONCLUSIONS

Tobacco control resources and stakeholder perspectives vary in small rural communities, implying a need for tailored approaches. Tobacco users in rural areas are a critical population to target with cessation resources.

Evaluating the effects of nicotine concentration on the appeal and nicotine delivery of oral nicotine pouches among rural and Appalachian adults who smoke cigarettes: A randomized cross-over study

BACKGROUND AND AIMS

Oral nicotine pouches (ONPs) probably offer reduced harm compared with cigarettes, but independent data concerning their misuse liability are lacking. We compared nicotine delivery and craving relief from ONPs with different nicotine concentrations to cigarettes.

DESIGN

This was a single-blind, three-visit (≥ 48-hour washout), randomized-cross-over study. Participants were encouraged to complete all study visits in less than 1 month.

SETTING

The study took place in Rural/Appalachian Ohio.

PARTICIPANTS

Participants comprised 30 adults who smoke cigarettes. Participants (meanage  = 34.5) were 60% men and 90% White.

INTERVENTION

Participants who were ≥ 12-hour tobacco-abstinent used: (1) a 3-mg nicotine concentration ONP, (2) a 6-mg nicotine concentration ONP and (3) usual brand cigarette in separate visits. ONPs (wintergreen Zyn) were used for 30 minutes; cigarettes were puffed every 30 sec for 5 minutes.

MEASUREMENTS

Plasma nicotine and self-reported craving were assessed at t = 0, 5, 15, 30, 60 and 90 minutes. The primary outcome was plasma nicotine concentration at t = 30 minutes. A secondary outcome was craving relief at t = 5 minutes.

FINDINGS

At t = 30, mean [95% confidence interval (CI)] plasma nicotine was 9.5 ng/ml (95% CI = 7.1, 11.9 ng/ml) for the 3 mg nicotine ONP, 17.5 ng/ml (95% CI = 13.7, 21.3) for the 6 mg nicotine ONP and 11.4 ng/ml (95% CI = 9.2, 13.6 ng/ml) for the cigarette. Mean plasma nicotine at t = 30 minutes differed between the 3- and 6-mg nicotine ONPs (P = 0.001) and between the 6-mg nicotine ONP and cigarette (P = 0.002). Mean (95% CI) craving at t = 5 minutes was lower for the cigarette (mean = 1.00, 95% CI = 0.61, 1.39) than either the 3 mg (mean = 2.25, 95% CI = 1.68, 2.82; P < 0.0001) or 6 mg nicotine (mean = 2.19, 95% CI = 1.60, 2.79; P < 0.0001) ONP.

CONCLUSIONS

Among adult smokers, using 6-mg nicotine concentration oral nicotine pouches (ONPs) was associated with greater plasma nicotine delivery at 30 minutes than 3-mg ONPs or cigarettes, but neither ONP relieved craving symptoms at 5 minutes as strongly as a cigarette. Accelerating the speed of nicotine delivery in ONPs might increase their misuse liability relative to cigarettes.

Magnitude of risk factors for chronic noncommunicable diseases in adolescents and young adults in Brazil: A population-based study

AIM OF THE STUDY

Estimate the magnitude and factors associated with risk factors for chronic noncommunicable diseases in adolescents and young adults in Brazil.

METHODS

Cross-sectional study that analyzed data from the 2019 National Health Survey. The population of interest was adolescents and young adults aged 15 to 24 years. Data were collected through individual interviews during home visits. Dependent variables included major risk factors for chronic noncommunicable diseases. Demographic and socioeconomic characteristics were used as independent variables. Multiple Poisson regression models were used to assess the relationship between independent variables and risk factors.

RESULTS

A total of 10,460 individuals (5,001 men and 5,459 women) were included. Regardless of sex, the most prevalent risk factors were insufficient fruit and vegetable consumption (92.6%) and leisure-time physical inactivity (43.3%). The prevalence rates of tobacco smokers, alcohol consumption once a month or more, and alcohol abuse were 8.9%, 28.7%, and 18.5%, respectively. Regular consumption of soft drinks and/or artificial juices was described by 17.2%. The prevalence of overweight was 32.5%. Young adults, males, and individuals with lower educational levels, of black race/skin color, with lower household income, and residents of urban areas had a higher prevalence for most risk factors. Differences in the determinants were found for some factors. Inequalities between Brazilian regions were recorded for seven of the nine factors analyzed. The most socioeconomically developed regions had the highest prevalence of most risk factors. The high magnitude of risk factors indicates a potential increase in the burden of chronic noncommunicable diseases in a future scenario for Brazil.

Investigating Tobacco Product Use Behavior Among Students Attending High Schools Within the Cherokee Nation Reservation

Tobacco use is the leading cause of death in the United States and youth prevention is key to reducing tobacco use. American Indian/Alaska Native (AI/AN) individuals have a higher prevalence of tobacco use compared to other populations. This paper aims to evaluate the prevalence of tobacco products among youth within the Cherokee Nation reservation. Data from the 2019 Cherokee Nation Youth Risk Behavior Survey (YRBS) was used to analyze the prevalence of tobacco use (cigarettes, smokeless tobacco, electronic cigarettes, cigars, and ≥ 2 products) among students within Cherokee Nation. Weighted frequency and percentages were obtained for variables and 95% confidence intervals were computed using Taylor linearization variance estimators. Binary associations between variables were examined using the Rao-Scott Chi-square test. There were 1475 high students who participated in the 2019 Cherokee Nation YRBS. Males were more likely to report the use of smokeless tobacco and ≥ 2 products than females. Twelfth graders had a higher prevalence of reported e-cigarette use compared to lower grades. AI/AN students had a higher prevalence of current use of cigarettes and ≥ 2 products compared to other groups. The use of marijuana and alcohol was positively associated with the use of all tobacco products. Depression was also positively associated with the use of all products excluding smokeless tobacco. Grade, age, depression, and current use of other tobacco products, marijuana, and alcohol were associated with greater electronic cigarette intensity levels. Using the results, tribal and local organizations can promote evidence-based interventions that focus on reducing tobacco use among youth.

Examining Smoking Prevalence Disparities in Virginia Counties by Rurality, Appalachian Status, and Social Vulnerability, 2011-2019

Objectives. To estimate county-level cigarette smoking prevalence in Virginia and examine cigarette use disparities by rurality, Appalachian status, and county-level social vulnerability. Methods. We used 2011-2019 Virginia Behavioral Risk Factor Surveillance System proprietary data with geographical information to estimate county-level cigarette smoking prevalence using small area estimation. We used the Centers for Disease Control and Prevention's social vulnerability index to quantify social vulnerability. We used the 2-sample statistical t test to determine the differences in cigarette smoking prevalence and social vulnerability between counties by rurality and Appalachian status. Results. The absolute difference in smoking prevalence was 6.16 percentage points higher in rural versus urban counties and 7.52 percentage points higher in Appalachian versus non-Appalachian counties in Virginia (P < .001). Adjusting for county characteristics, a higher social vulnerability index is associated with increased cigarette use. Rural Appalachian counties had 7.41% higher cigarette use rates than did urban non-Appalachian areas. Tobacco agriculture and a shortage of health care providers were significantly associated with higher cigarette use prevalence. Conclusions. Rural Appalachia and socially vulnerable counties in Virginia have alarmingly high rates of cigarette use. Implementation of targeted intervention strategies could reduce cigarette use, ultimately reducing tobacco-related health disparities. (Am J Public Health. 2023;113(7):811-814. https://doi.org/10.2105/AJPH.2023.307298).

Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program

INTRODUCTION

Novel prevention programs are developed to address the increase in e-cigarette use (vaping) among children. However, it remains paramount to test their feasibility in rural settings. This pilot study implemented and evaluated the feasibility and outcomes of two innovative programs, CATCH My Breath and smokeSCREEN, among youth in rural settings in Florida.

METHODS

We conducted four focus groups with youth aged 11-17 recruited from 4-H rural clubs in Florida. In a subsequent randomized trial, we recruited 82 youth participants and assigned them to one of three arms: CATCH My Breath, smokeSCREEN, or control. CATCH My Breath and smokeSCREEN participants attended online group intervention sessions while the control group received educational material. Pre- and post-surveys were administered to all participants to assess knowledge, susceptibility, perceived positive outcomes and risk perceptions related to tobacco and e-cigarette use. Other feasibility parameters were also assessed.

RESULTS

Focus group discussions provided insights about feasibility and informed the implementation of both interventions in terms of delivery format, scheduling of sessions and incentives. After the intervention, CATCH My Breath participants significantly improved their general tobacco-related knowledge (post-pre = 16.21-12.92 = 3.3, p <.01) and risk perceptions towards other flavored tobacco products (post-pre = 19.29-17.71 = 1.6, p <.05). smokeSCREEN participants significantly improved their general tobacco knowledge (post-pre = 18.77-13.77 = 5.0, p <.01), knowledge about e-cigarettes (post-pre = 9.08-6.31 = 2.8, p <.01) and risk perception towards e-cigarettes (post-pre = 24.69-21.92 = 2.8, p <.05).

CONCLUSIONS

This study demonstrated feasibility of delivering the interventions via participant engagement, participants' willingness to be randomized, assessment of outcome measures, and exploration of different recruitment methods. Despite the potential positive influence of CATCH My Breath and smokeSCREEN on youth participants, further evaluation with larger samples is needed.

Eating disorder risk in rural US adolescents: What do we know and where do we go?

Adolescence is a vulnerable period for the development of eating disorders, but there are disparities in eating disorder risk among adolescents. One population that may be at increased risk but is vastly understudied, is adolescents residing in rural regions within the United States. Rural communities face many mental and physical health disparities; however, the literature on rural adolescent eating disorder risk is nearly nonexistent. In this paper we summarize the scant literature on disordered eating and eating disorder risk and prevalence among rural US adolescents. We also detail eating disorder risk factors that may have unique influence in this population, including socioeconomic status, food insecurity, healthcare access, body image, and weight stigma. Given the presence of numerous eating disorder risk factors, we speculate that rural adolescents may be a particularly vulnerable population for eating disorders and we propose critical next steps in research for understanding eating disorder risk among the understudied population of rural adolescents. PUBLIC SIGNIFICANCE: Rural adolescents may be at increased risk for eating disorders due to disproportionate burden of known risk factors, though this relationship remains understudied. We present a summary of the literature on prevalence and unique risk factors, proposing that this may be a high-risk population. We detail next steps for research to understand eating disorder risk in this population to inform future prevention, identification, and treatment efforts needed in this community.

Rural disparities in adolescent smoking prevalence

INTRODUCTION

Rural residence is a well-established risk factor for risk behaviors and subsequent morbidity and mortality in the United States. Smoking is the primary cause of preventable death and is more prevalent in rural America. As chronic smoking habits typically develop during adolescence, the discrepancy in smoking rates between rural and urban youth likely contributes to a significant geographic disparity in the long-term health of adults.

METHODS

Data were extracted from 12th-grader surveys of the US Monitoring the Future study from 1998 to 2018. The historic trends of smoking initiation, ever-regular and current-regular smoking rates of rural and urban adolescents were estimated with intercept-only time-varying effect models. Differences in prevalence between rural and urban youth were calculated for each smoking behavior.

RESULTS

Though overall smoking prevalence continues to decline, this trend is significantly attenuated among rural adolescents compared to urban youth. The absolute difference in lifetime smoking prevalence between rural and urban youth has markedly increased from 6.9% in 1998 to 13.5% in 2018, which is among the highest in the past 20 years and is a potentially alarming upward trend. However, the absolute differences in ever-regular and current-regular smoking prevalence have shown an overall net decline, decreasing from 6.4 to 4.8%, and from 5.5 to 3.0%, respectively.

CONCLUSIONS

This geographic disparity between rural and urban adolescents represents a potentially modifiable cause of increased morbidity and mortality in rural areas. Interventions and regulatory efforts should be tailored for rural adolescents to reduce the narrowing but persistent disparity in regular smoking.

Exploring Rural-Urban Differences in Polygenic Associations for Health among Older Adults in the United States

This paper contributes to research on health disparities among rural and urban residents by considering differences in the magnitude of genetic associations for physical health, mental health, and health behaviors across the two settings. Previous research has shown reduced genetic associations in rural compared to urban settings but none have utilized current genome-wide polygenic scores and none have focused on older adults. Using a sample of 14,994 adults from the 1992 to 2016 waves of the Health and Retirement Study our results suggest genetic associations for BMI (p<.018) and heart conditions (p < .023) are significantly reduced in rural compared to urban settings and we find weak evidence in support of this association for depression (p. < .065) and no evidence for smoking (p < 461). In sum, the weaker genetic associations in rural areas highlights the centrality of the social, economic, and built environment as a determinant of disparities.

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).

Secondhand Smoke Exposure at Home and/or in a Vehicle: Differences Between Urban and Non-Urban Adolescents in the United States, From 2015 to 2018

INTRODUCTION

Secondhand smoke exposure during adolescence is linked to increased risk for cigarette smoking susceptibility and initiation. Non-urban youth may encounter a disproportionate number social and environmental risk factors for secondhand smoke exposure. Research is needed to explore geographic disparities in secondhand smoke exposure.

AIMS AND METHODS

Four years of National Youth Tobacco Survey (2015-2018) data were pooled. Participants were 69 249 middle and high school students. Multivariable logistic regression examined the relationship between geographic region and secondhand smoke exposure (1) at home and (2) in a vehicle. A multivariable, multinomial logistic regression examined the relationship between geographic region and number of sources of secondhand smoke exposure (ie, 0, 1 source, 2 sources). Covariates included sex, race/ethnicity, grade level, past 30-day tobacco use, and living with a tobacco user.

RESULTS

From 2015 to 2018, ~28.4% of middle and high school students reported secondhand smoke exposure either at home, in a vehicle, or both. Non-urban youth had greater odds of reporting secondhand smoke exposure at home (Adj OR: 1.26; 95% CI: 1.15 to 1.38) and in a vehicle (Adj OR: 1.50; 95% CI: 1.35 to 1.65), compared with urban youth. Similarly, non-urban youth had greater odds of reporting secondhand smoke exposure via one source (RRR: 1.21; 95% CI: 1.11 to 1.31) and two sources (RRR: 1.61; 95% CI: 1.42 to 1.82), relative to no exposure, than urban youth.

CONCLUSION

Secondhand smoke exposure at home and/or in a vehicle varies across geographic region. Targeted interventions should be developed and implemented to reduce secondhand smoke exposure among at-risk youth.

IMPLICATIONS

Findings showcase the need to address secondhand smoke exposure in non-urban areas and how it impacts adolescents. Public health interventions and regulatory policies aimed at improving social norms and expanding health infrastructure in rural communities should be designed and implemented in order to prevent and reduce secondhand smoke exposure among non-urban youth.

Basaloid squamous cell carcinoma of the hypopharynx: an analysis of 213 cases

PURPOSE

Basaloid squamous cell carcinoma (BSCC) is a rare aggressive variant of squamous cell carcinoma (SCC) with a poor prognosis. No large series of exclusively hypopharyngeal BSCC patients have been previously reported. Therefore, this retrospective population-based study aims to explain the patient demographics, clinicopathologic characteristics, incidence, and survival outcomes of hypopharyngeal BSCC and how it relates to conventional-type SCC.

METHODS

The National Cancer Institute's Surveillance, Epidemiology, and End Results database registry was queried for patients diagnosed with hypopharyngeal BSCC and conventional-type SCC between 2001 and 2016.

RESULTS

The incidence of hypopharyngeal BSCC from 2001 to 2016 was 0.0161 per 100,000 individuals. The BSCC group comprised 213 patients, and the SCC group 7958 patients. The majority of BSCCs were considered high grade (Grade III/IV, 89.58%). Most BSCC patients were diagnosed at an advanced stage (American Joint Committee on Cancer [AJCC] stage IV, 65.38%). The 1-, 5-, and 10-year disease-specific survival (DSS) rates for hypopharyngeal BSCC were 84.10%, 57.40%, and 46.20%, respectively. Multivariate analysis, after adjustment for sex, age, race, tumor location, grade, and AJCC stage, showed that patients with BSCC had significantly better DSS than those with conventional-type SCC. Surgery with radiation contributed to a favorable DSS for BSCC patients in comparison with other treatments.

CONCLUSION

This analysis of the largest hypopharyngeal BSCC series indicates a better prognosis for this pathologic type compared with conventional-type hypopharyngeal SCC. Multimodality treatment with surgery and radiation may result in a favorable prognosis for hypopharyngeal BSCC patients.

Variation in Health Among Unstably Housed Youth From Cities, Suburbs, Towns, and Rural Areas

PURPOSE

Youth face similar rates of homelessness across rural and urban areas, yet little is known about how the health of unstably housed youth varies by location. We assessed differences in health by location (city, suburb, town, and rural) and housing status among youth facing a range of unstable housing experiences.

METHODS

This secondary data analysis from 8th, 9th, and 11th graders completing the 2019 Minnesota Student Survey examined youth who had experienced housing instability in the prior year (n = 10,757), including running away (48%) or experiencing homelessness (staying in shelter, couch-surfing, or rough sleeping) with (42%) or without (10%) an adult family member. We conducted multifactor analysis of variance to assess differences by location (urban, suburban, town, and rural) and housing experience for each of five health indicators: suboptimal health, depressive symptoms, suicide attempts, ≥2 sexual partners, and e-cigarette use.

RESULTS

In main effects models, all health indicators varied based on housing status; suboptimal health, ≥2 sexual partners, and e-cigarette use also varied by location. Interaction models showed that unaccompanied homeless youth in suburbs reported poorer health compared with those in cities. Compared with suburbs, youth in towns were more likely to report ≥2 sexual partners (19.9%, 24.1%) and e-cigarette use (39.5%, 43.3%).

CONCLUSIONS

Our findings suggest that unstably housed youth face a similar burden of poor health across locations, with only subtle differences in health indicators, yet most research focuses on urban youth. Future research is needed to identify how to best meet the health needs of unstably housed youth across locations.

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.

Cigarette, shisha, and electronic smoking and respiratory symptoms in Swiss children: The LUIS study

BACKGROUND

Smoking habits in adolescents are changing. We assessed active smoking of conventional cigarettes, e-cigarettes and shishas in Swiss schoolchildren, studied risk factors and compared respiratory problems between smokers and non-smokers.

METHODS

We used data from LuftiBus in the school (LUIS), a school-based survey of respiratory health of children carried out 2013 to 2016 in the canton of Zurich, Switzerland. Participants were asked about use of cigarettes, shishas, and electronic smoking devices (ESD), and current respiratory symptoms. We studied associations between smoking and risk factors using logistic regression.

RESULTS

We included 3488 schoolchildren. Among 6 to 12-year-olds, 90/1905 (5%) had smoked occasionally (<once/week). Among 13 to 17-year-olds, 563/1583 (36%) had smoked occasionally of whom 414 smoked ESDs, 409 shishas, and 276 cigarettes. Among 13 to 17-year-olds who smoked frequently (≥once/week), 41/54 (76%) smoked cigarettes. A 22% of 15 to 17-year-olds (104/477) had used all three products. Smoking was more common in adolescents who were male (adjusted OR, 2.1; 95% CI, 1.7-2.6), lived in rural areas (1.8, 95% CI, 1.2-2.9 vs small urban), and whose mother (1.7, 95% CI, 1.3-2.3) or father (1.5, 95% CI, 1.2-1.9) smoked. Current respiratory symptoms like rhinitis, dyspnea, and wheeze were more common among frequent smokers (44%, 30%, 12%, respectively) and occasional smokers (32%, 22%, 13%) than in never smokers (29%,19%, 8%, P for trend <.05).

CONCLUSION

Smoking of shishas and ESDs is common among Swiss adolescents and often combined with smoking cigarettes. Adolescent smokers reported more respiratory symptoms than never smokers. We recommend smoking preventive strategies that include all forms of smoking.

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.

Area Deprivation Index and Rurality in Relation to Lung Cancer Prevalence and Mortality in a Rural State

Background

We sought to describe lung cancer prevalence and mortality in relation to socioeconomic deprivation and rurality.

Methods

We conducted a population-based cross-sectional analysis of prevalent lung cancers from a statewide all-payer claims dataset from 2012 to 2016, lung cancer deaths in Maine from the state death registry from 2012 to 2016, rurality, and area deprivation index (ADI), a geographic area-based measure of socioeconomic deprivation. Analyses examined rate ratios for lung cancer prevalence and mortality according to rurality (small and isolated rural, large rural, or urban) and ADI (quintiles, with highest reflecting the most deprivation) and after adjusting for age, sex, and area-level smoking rates as determined by the Behavioral Risk Factor Surveillance System.

Results

Among 1 223 006 adults aged 20 years and older during the 5-year observation period, 8297 received lung cancer care, and 4616 died. Lung cancer prevalence and mortality were positively associated with increasing rurality, but these associations did not persist after adjusting for age, sex, and smoking rates. Lung cancer prevalence and mortality were positively associated with increasing ADI in models adjusted for age, sex, and smoking rates (prevalence rate ratio for ADI quintile 5 compared with quintile 1 = 1.41, 95% confidence interval [CI] =1.30 to 1.54) and mortality rate ratio = 1.59, 95% CI = 1.41 to 1.79).

Conclusion

Socioeconomic deprivation, but not rurality, was associated with higher lung cancer prevalence and mortality. Interventions should target populations with socioeconomic deprivation, rather than rurality per se, and aim to reduce lung cancer risk via tobacco treatment and control interventions and to improve patient access to lung cancer prevention, screening, and treatment services.

Initiation Patterns and Trends of E-Cigarette and Cigarette Use Among U.S. Adolescents

PURPOSE

The primary objectives were to (1) examine the initiation patterns of e-cigarette and cigarette smoking, (2) compare recent trends in initiation patterns for 2015, 2016, and 2017, (3) examine sociodemographic differences in initiation patterns over time and, (4) examine how initiation patterns are associated with cigarette-related perceptions, behaviors, and intentions.

METHODS

Data were collected via self-administered questionnaires from 2015 to 2017 nationally representative samples of eighth-grade (modal ages 13-14 years) and 10th-grade (modal ages 15-16 years) students (N = 36,506) attending U.S. secondary public and private schools.

RESULTS

Among lifetime e-cigarette or cigarette users (n = 9,858), initiating e-cigarettes only was the most common (47.45%). This was followed by cigarette before e-cigarette initiation (18.50%), which decreased in prevalence from 2015 to 2017. E-cigarette before cigarette initiation was the smallest group (6.89%) but increased from 2015 to 2017. E-cigarette before cigarette users were more likely to perceive cigarette use as risky (adjusted odds ratios [aOR]: 1.40; 95% CI: 1.11-1.77) but also more likely to currently smoke cigarettes (aOR:1.30; 95% CI: 1.03-1.63) compared with those who initiated cigarettes before e-cigarettes. Both cigarette only initiators (aOR: .52; 95% CI: .33-.80) and e-cigarette only initiators (aOR: .22; 95% CI: .07-.16) were less likely to report future intentions to smoke compared with those who initiated cigarettes before e-cigarettes.

CONCLUSIONS

Initiation patterns related to e-cigarette and cigarette use among U.S. youth appears to be changing rapidly. Furthermore, patterns of initiation should be considered in future research as cigarette-related risk among different e-cigarette and cigarette use initiation patterns is heterogeneous.

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.