Socioecological Aspects of Tobacco Use in College Populations

Background: Although cigarette smoking is decreasing in the US and among college students, tobacco use remains a major public health problem. Specific socioecological gaps in the literature related to college tobacco use exist including: trends of tobacco use, combinations of polysubstance use, and availability of tobacco products around college campuses. Objectives: The main goal of this research was the understand interrelationships that exist within a socioecological framework of college tobacco use. Specifically, this project aims to: 1) examine trends of tobacco and polytobacco use by gender and associations of polytobacco use and perceived peer tobacco use, 2) examine specific combinations of polysubstance use and how the resulting profiles of use differ by gender, and 3) evaluate tobacco retailer density around college campuses and in neighborhoods of Richmond, VA. Methods: Two chapters of this project use data from the National College Health Assessment II from 2008-2015. The third chapter uses data collected from electronic cigarette brand websites to geospatially examine tobacco retailers in the Richmond Virginia Metropolitan Statistical Area. Various statistical analyses were utilized to complete each project including linear, logistic, and negative binomial regression, latent class and confirmatory factor analysis, and spatial analysis. Results: Trends of some tobacco products among US college students declined while others remained stable from 2008-2015. Nearly 1 in 4 college students used a tobacco product and nearly 1 in 10 were polytobacco users. Alcohol and marijuana use remained stable. Specific classes of polysubstance users were found to exist between males and females, in addition to sociodemographic and institutional associations with polysubstance use by gender. College campuses in the Richmond area were found to have a substantial number of tobacco retailers and retailer density was higher in low socioeconomic status neighborhoods. Conclusions: The findings from the three different studies fill extensive gaps in the literature related to trends of college tobacco use, differences in classes of polyuse by gender, and availability of tobacco around college campuses. Overall, while tobacco use is declining, there are still a substantial proportion of college students who use tobacco and other substances and products appear to be readily available

Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)

Introduction: Improved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use. Methods: Multiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and sus- ceptibility status. Results: Compared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range=1.5–2.3), marijuana use (aOR=1.9, 95%CI=1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sen- sation seeking, or household use of non-cigarette tobacco. Conclusions: Among ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e- cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use

The Incurious Seeker: A Study of the Anti-Quest in Samuel Beckett's Novels

144 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1974.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

Smoking cessation prevalence by menthol cigarette use and select demographics among adults in the United States, TUS-CPS, 2003–2019

People who smoke menthol cigarettes, particularly those who are non-Hispanic Black/African American, are less likely to achieve successful smoking cessation compared with people who smoke non-menthol cigarettes. This study examined the 2003–2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) harmonized data to estimate cross-sectional trends in cigarette smoking cessation among U.S. adults, stratified by menthol cigarette use, race/ethnicity, sex, and age. The analytic sample included respondents who smoked for ≥ 2 years (current users and former users who reported quitting during the past year). We tested cessation trends using orthogonal polynomial contrasts for overall, menthol, and non-menthol smoking cessation prevalence and stratified by race/ethnicity, sex, and age in logistic regression models. We also analyzed the 2018–2019 non-harmonized TUS-CPS data among recent quitters to examine differences in characteristics (e.g., demographic characteristics, smoking frequency, use of smoking cessation aids, switching to other tobacco products) by menthol cigarette use. We observed significant linear changes in prevalence trends for overall cigarette smoking cessation, menthol smoking cessation, and non-menthol smoking cessation (p < 0.0001 for all linear trends), and changes in menthol cessation among non-Hispanic White and non-Hispanic Other race/ethnicity categories during 2003–2019. In the 2018–2019 wave, we observed differences in menthol status for sex, race/ethnicity, age, and educational attainment. We did not observe differences for other characteristics. We observed changes in overall cigarette smoking cessation, menthol, and non-menthol smoking cessation prevalence during the study period; however, gains in cigarette smoking cessation were not experienced among non-Hispanic Black/African American adults who smoke

E-Cigarette Flavors and Frequency of E-Cigarette Use among Adult Dual Users Who Attempt to Quit Cigarette Smoking in the United States: Longitudinal Findings from the PATH Study 2015/16–2016/17

Potential mechanisms by which e-cigarette use may relate to combustible cigarette smoking cessation are not well-understood. We used U.S. nationally representative data to prospectively evaluate the relationship between e-cigarette flavor use and frequency of e-cigarette use among adult cigarette/e-cigarette dual users who attempted to quit smoking cigarettes. Analyses used Population Assessment of Tobacco and Health (PATH) Study data from adult dual users (2015/16) who attempted to quit smoking between 2015/16 and 2016/17 (Wave 3-Wave 4, n = 685, including those who did/did not quit by 2016/17). E-cigarette flavor use (usual/last flavor, past 30-day flavor; assessed in 2015/16) was categorized into Only tobacco; Only menthol/mint; Only non-tobacco, non-menthol/mint; and Any combination of tobacco, menthol/mint, other flavor(s). The key outcome, evaluated at follow-up in 2016/17, was frequent e-cigarette use, which was defined as use on 20+ of past 30 days. Logistic regression was used to evaluate associations between e-cigarette flavor use in 2015/16 and frequent e-cigarette use at follow-up in 2016/17. Dual users who attempted to quit smoking had greater odds of frequent e-cigarette use at follow-up when they used only non-tobacco, non-menthol/mint flavor than when they used only tobacco flavor as their regular/last e-cigarette flavor (OR = 1.9, 95% CI: 1.1–3.4); findings were no longer significant when adjusted for factors including e-cigarette device type (AOR = 1.4, 95% CI: 0.7–2.8). Past 30-day e-cigarette flavor use results were generally similar, although frequent e-cigarette use at follow-up was highest among those who used any combination of tobacco, menthol/mint, or other flavors. Findings indicate that e-cigarette flavor use among dual users who attempt to quit smoking may be related to e-cigarette use frequency overall, which may indicate a mechanism underlying findings for e-cigarette use and smoking cessation. Further longitudinal research may help to disentangle how e-cigarette characteristics uniquely impact e-cigarette use frequency and smoking cessation/sustained use

Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)

Introduction: Improved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use. Methods: Multiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and sus- ceptibility status. Results: Compared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range=1.5–2.3), marijuana use (aOR=1.9, 95%CI=1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sen- sation seeking, or household use of non-cigarette tobacco. Conclusions: Among ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e- cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use

Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

BackgroundPrior work established a measure of tobacco dependence (TD) among adults that can be used to compare TD across different tobacco products. We extend this approach to develop a common, cross-product metric for TD among youth.MethodsOne thousand one hundred and forty-eight youth aged 12-17 who used a tobacco product in the past 30 days were identified from 13 651 youth respondents in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study.FindingsAnalyses confirmed a single primary latent construct underlying responses to TD indicators for all mutually exclusive tobacco product user groups. Differential Item Functioning analyses supported the use of 8 of 10 TD indicators for comparisons across groups. With TD levels anchored at 0.0 (standard deviation [SD] = 1.0) among cigarette only (n = 265) use group, mean TD scores were more than a full SD lower for e-cigarette only (n = 150) use group (mean = -1.09; SD = 0.64). Other single product use group (cigar, hookah, pipe, or smokeless; n = 262) on average had lower TD (mean = -0.60; SD = 0.84), and the group with the use of multiple tobacco products (n = 471) experienced similar levels of TD (mean = 0.14; SD = 0.78) as the cigarette only use group. Concurrent validity was established with product use frequency among all user groups. A subset of five TD items comprised a common metric permitting comparisons between youth and adults.ConclusionThe PATH Study Youth Wave 1 Interview provided psychometrically valid measures of TD that enable future regulatory investigations of TD across tobacco products and comparisons between youth and adult tobacco product use group.ImplicationsA measure of tobacco dependence (TD) has been established previously among adults to compare TD across tobacco products. This study established the validity of a similar, cross-product measure of TD among youth. Findings suggest a single latent TD construct underlying this measure, concurrent validity of the scale with product use frequency across different types of tobacco users, and a subset of common items that can be used to compare TD between youth and adults who use tobacco