Use patterns of flavored non-cigarette tobacco products among US adults, 2010-2019.

OBJECTIVE: Flavored non-cigarette tobacco product (NCTP) use is common among US adult tobacco users. To update the estimates of use patterns of flavored NCTPs, this study assessed current NCTP use among adults by flavor use and flavor categories from 2010 to 2019. METHODS: We analyzed data from the 2010-2019 Tobacco Use Supplement to the Current Population Survey to estimate the weighted proportion of adult NCTP users by flavor use across survey waves. Flavor use was defined as past 30-day use of any menthol/mint or fruit/other flavors. We used the 2018-2019 data to examine the differences in demographic characteristics and tobacco use patterns among users of menthol/mint or fruit/other flavors compared to exclusive users of tobacco flavor, by product type. RESULTS: Compared to 2014-2015, electronic nicotine delivery system (ENDS) users were more likely (79.0% vs. 66.6%, p < 0.001) to report flavor use in 2018-2019, whereas cigar (26.9% vs. 31.2%, p = 0.030) and pipe (56.3% vs. 65.5%, p = 0.015) smokers were less likely to report flavor use in 2018-2019. In 2018-2019, the most prevalent flavor categories were exclusive use of tobacco flavor among cigar (73.1%) and smokeless tobacco (48.3%) users, and use of fruit/other flavors among ENDS (64.9%) and pipe (48.4%) users. Flavored users were more likely to be young adults aged 18-24 years (cigars, ENDS, smokeless tobacco) and Non-Hispanic Black or Hispanic persons (cigars, ENDS, pipes) compared to tobacco-flavored users. CONCLUSIONS: Flavored product use increased among adult ENDS users but decreased among cigar and pipe smokers. These findings could inform tobacco regulatory efforts concerning flavored NCTPs.

Associations of Daily Versus Nondaily Smoking, Tobacco-Related Risk Perception, and Cancer Diagnosis Among Adults in the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: Nondaily smoking has become increasingly common among cigarette smokers. Our objective was to determine whether current daily versus nondaily smoking differed by tobacco-related risk perceptions (TRRPs), demographic factors, and cancer history. METHODS: Participants were all adults in Waves 1-3 of the longitudinal cohort Population Assessment of Tobacco and Health Study who were current smokers at Wave 3 (N = 8307). The primary analysis was weighted logistic regression of daily versus nondaily smoking at Wave 3. TRRP measures were cigarette harm perception, worry that tobacco products will damage one's health, belief that smoking cigarettes causes [lung/bladder/mouth/liver] cancer, and nondaily cigarette harm perception (Likert-type scale). Other measures included demographic factors, other tobacco product use, minor at time of first cigarette, and cancer survivor status (yes/no). RESULTS: Among current smokers, daily versus nondaily smoking was significantly associated with being a minor at time of first cigarette (OR = 1.54, p < .001), TRRPs (OR = 0.83, p < .001; OR = 1.40, p < .001; and OR = 1.17, p = .009 [harm perception, worry, and nondaily cigarette harm perception, respectively]), and interaction between cancer survivor status and belief that smoking causes cancer (p < .001). TRRPs among current smokers did not differ significantly between cancer survivors and respondents without a cancer history. CONCLUSIONS: Respondents with lower harm perception, higher worry, and higher nondaily cigarette harm perception were more likely to be daily versus nondaily smokers. Respondents with higher belief that smoking causes cancer or who were cancer survivors were less likely to be daily (versus nondaily) smokers compared to respondents with low belief and no cancer history. IMPLICATIONS: This study is unique in that it examined associations of smoking cigarettes daily versus nondaily with tobacco-related risk perceptions and cancer survivorship-comparing cancer survivors to those without a cancer history. Given the increasing prevalence of nondaily smoking as compared with daily smoking in the general population, and the prognostic significance of smoking after cancer diagnosis, these findings fill a clinically important gap in the literature and provide a foundation for further research.

Smoking Cessation and Tobacco-related Risk Perceptions among People with and without a Diagnosis of Cancer.

BACKGROUND: Little is known about how cancer diagnosis and tobacco-related risk perceptions are associated with smoking behavior. METHODS: We used data from Waves (W) 1-3 (2013-2016) of the Population Assessment of Tobacco and Health Study to analyze longitudinal smoking behavior among adults who were current smokers and not previously diagnosed with cancer at baseline (W1; N = 7,829). The outcome was smoking cessation as of follow-up (W3). Explanatory variables were sociodemographics, other tobacco product use, adult at first cigarette, tobacco dependence, cancer diagnosis after baseline, and tobacco-related risk perceptions [cigarette harm perception, worry that tobacco products will damage one's health ("worry"), belief that smoking causes cancer ("belief"), and nondaily smoking harm perception]. RESULTS: Cessation was significantly associated with baseline worry (OR = 1.26; 95% confidence interval, 1.13-1.40), follow-up cigarette harm perception [OR = 2.01 (1.77-2.29)], and follow-up belief [OR = 1.40 (1.20-1.63)]. Cessation was inversely associated with follow-up (W3) worry, and this association was stronger among those without a cancer diagnosis (OR = 0.37 without cancer; OR = 0.76 among individuals diagnosed with cancer; interaction P = 0.001). CONCLUSIONS: Cessation is associated with tobacco-related risk perceptions, with different perceptions contributing in unique ways. Cessation is predicted by baseline worry but is inversely associated with worry at follow-up, suggesting that perhaps cessation has alleviated worry. The latter finding was stronger among respondents not diagnosed with cancer. IMPACT: Associations between cancer diagnosis, tobacco-related risk perceptions, and smoking behavior may inform the development of evidence-based smoking cessation interventions.

Disparities in Smokefree and Vapefree Home Rules and Smokefree Policy Attitudes Based on Housing Type and Cigarette Smoking Status, United States, 2019.

This study examined variations in cigarette smoking status, home smoking and vaping rules, and attitudes toward smoking rules among U.S. adults. We analyzed data from the 2019 U.S. Census Bureau's Current Population Survey Supplements (n = 40,296 adults) and calculated weighted prevalence estimates of adult cigarette smoking based on housing type. In 2019, multi-unit housing (MUH) residents who currently smoked were predominantly residents of privately rented housing (66.9%), followed by privately owned (17.6%) and public housing (15.5%). MUH residents who currently smoked had the highest proportions of allowing smoking (26.7%) or vaping (29.1%) anywhere inside their homes and were least likely to support rules allowing smoking inside all MUH apartments or living areas. In the adjusted models, MUH residents with a current smoking status were 92% less likely to have a complete smoking ban. More than one in four MUH residents with a current smoking status allowed all smoking inside the home and supported allowing smoking inside all MUH apartment or living areas, reinforcing how MUH residents may be at higher risk of experiencing secondhand smoke or aerosol exposure, or incursions within their places of residence. Our results can inform the development, implementation, and sustainment of strategies to reduce exposures from tobacco and nicotine products in all living environments.

A Longitudinal Analysis of Respiratory Illness and Tobacco Use Transitions.

INTRODUCTION: Among individuals with chronic respiratory conditions, transitions between patterns of tobacco product use are not well understood. This study examines how transitions, including quitting altogether, differ over time between those who do and do not have chronic respiratory conditions. METHODS: Data from youth and adult participants of the longitudinal Population Assessment of Tobacco and Health Study (2013-2018) were analyzed. Youth aged 12-17 years were included if they had aged into the adult sample by Wave 4. Stratified polytomous regression models built under a first-order Markov assumption modeled the probability of transitioning between different states/patterns of tobacco product use (exclusive current E-cigarette use, exclusive current combustible tobacco product use, current dual use of combustible products and E-cigarettes, and no current tobacco product use) at each wave. Marginal transition probabilities were computed as a function of ever or past-year diagnosis of a respiratory condition (separately for asthma and a composite variable representing chronic bronchitis, emphysema, and/or chronic obstructive pulmonary disease). Analyses were conducted in 2020-2021. RESULTS: Most individuals, regardless of respiratory condition, maintained the same pattern of tobacco use between waves. Exclusive combustible tobacco product users, including those with or without a respiratory condition, were not likely to become exclusive E-cigarette users or to quit using tobacco entirely. CONCLUSIONS: Although combustible tobacco use negatively impacts the management and prognosis of respiratory illnesses, combustible tobacco users who were recently diagnosed with a chronic respiratory condition were not likely to quit using tobacco. Efforts to encourage and support cessation in this medically vulnerable population should be increased.

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.

Menthol Cigarette Smoking Trends among United States Adults, 2003-2019.

BACKGROUND: Smoking is declining, except among current menthol cigarette smokers. This study examines menthol cigarette smoking in the United States. METHODS: Cross-sectional data from 35,279 self-respondent current adult smokers who selected menthol cigarettes as their usual type, across the 2003, 2006-2007, 2010-2011, 2014-2015, and 2018-2019 waves of the nationally-representative Tobacco Use Supplement to the Current Population Survey, were analyzed in SAS/SUDAAN. Menthol cigarette smoking among current smokers was assessed by sex, age, race/ethnicity, employment, geography, and educational attainment. Linear contrasts were used to assess trends. RESULTS: Overall cigarette smoking (12.6% in 2018-2019 from 17.3% in 2003) and menthol cigarette smoking (4.0% in 2018-2019 from 4.7% in 2003) in the population decreased in 2018-2019 from 2003 (both P < 0.001). Using predicted marginals, adjusted by demographics, menthol smoking among current smokers increased to 33.8% in 2018-2019 from 27.9% in 2003 (P < 0.001). Among current smoking adults, increases in menthol smoking were observed among non-Hispanic Black persons (76.8% in 2018-2019 from 73.0% in 2003), young adults (37.7% in 2018-2019 from 31.7% in 2003), and women (39.6% in 2018-2019 from 32.1% in 2003). CONCLUSIONS: Smoking and menthol smoking in the population has decreased, yet menthol smoking among current smokers increased from 2003 to 2018-2019. Young adult, female, and non-Hispanic Black current smokers were more likely to use menthol cigarettes than their counterparts; these differences have persisted. IMPACT: Increased menthol smoking among current smokers, notably young adults, women, and non-Hispanic Black individuals, highlights the need for targeted tobacco control interventions for these health disparity populations.

Overlap in use of different types of tobacco among active duty military personnel.

OBJECTIVE: To describe the prevalence and overlapping combinations in past thirty-day cigarette use, smokeless tobacco use, and cigar use in the active duty U.S. military. METHODS: Data were taken from the 2008 Department of Defense Survey of Health Related Behaviors Among Active Duty Military Personnel. A total of 28,546 service members participated for a response rate of 70.6%. RESULTS: Analyses showed that 41.2% of active duty service members used one or more forms of tobacco in the past month. Cigarette use only was most prevalent (21.3%); other combinations were much lower ranging from 0.7% to 13.5%. Multinomial regression modeling yielded no consistent patterns in sociodemographic groups with higher risk of using one or more types of tobacco concurrently. Frequency and quantity of cigarette use were related to tobacco use patterns. From 60% to 67% of smokers were daily users of cigarettes only or cigarettes in combination with other tobacco types. The majority of cigarette users (54%-69%) smoked 15 or fewer cigarettes/day regardless of tobacco use patterns, but those who smoked at heaviest levels were most likely to use all 3 tobacco types (19%). CONCLUSIONS: Four of 10 service members place themselves at increased risk of tobacco-related illness and disease by using one or more types of tobacco. Daily cigarette smokers and very heavy smokers are at highest risk of using multiple tobacco types. Further research is needed to better understand the levels of use and the reasons for use of multiple types of tobacco.

Biomarkers of Exposure among Adult Smokeless Tobacco Users in the Population Assessment of Tobacco and Health Study (Wave 1, 2013-2014).

BACKGROUND: Monitoring population-level toxicant exposures from smokeless tobacco (SLT) use is important for assessing population health risks due to product use. In this study, we assessed tobacco biomarkers of exposure (BOE) among SLT users from the Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. METHODS: Urinary biospecimens were collected from adults ages 18 and older. Biomarkers of nicotine, tobacco-specific nitrosamines (TSNA), polycyclic aromatic hydrocarbons (PAH), volatile organic compounds (VOC), metals, and inorganic arsenic were analyzed and reported among exclusive current established SLT users in comparison with exclusive current established cigarette smokers, dual SLT and cigarette users, and never tobacco users. RESULTS: In general, SLT users (n = 448) have significantly higher concentrations of BOE to nicotine, TSNAs, and PAHs compared with never tobacco users; significant dose-response relationships between frequency of SLT use and biomarker concentrations were also reported among exclusive SLT daily users. Exclusive SLT daily users have higher geometric mean concentrations of total nicotine equivalent-2 (TNE2) and TSNAs than exclusive cigarette daily smokers. In contrast, geometric mean concentrations of PAHs and VOCs were substantially lower among exclusive SLT daily users than exclusive cigarette daily smokers. CONCLUSIONS: Our study produced a comprehensive assessment of SLT product use and 52 biomarkers of tobacco exposure. Compared with cigarette smokers, SLT users experience greater concentrations of some tobacco toxicants, including nicotine and TSNAs. IMPACT: Our data add information on the risk assessment of exposure to SLT-related toxicants. High levels of harmful constituents in SLT remain a health concern.

Determinants of Light and Intermittent Smoking in the United States: Results from Three Pooled National Health Surveys.

BACKGROUND: Light and/or intermittent smokers have been the fastest growing segment of cigarette smokers in the United States over the past two decades. Defining their behavioral characteristics is a critical public health priority. METHODS: Our sample included 78,229 U.S. adults from three pooled contemporary population-based surveys: the 2012 NHIS, 2012 NSDUH, and 2011-2012 NHANES. We classified current smokers into four categories (light and intermittent [LITS], light-daily, heavier-intermittent, and heavier-daily) and assessed smoking behaviors, illicit drug use, and mental health indicators using weighted analyses. RESULTS: Analyses associated smoking categories with nicotine dependence, age of smoking initiation, race/ethnicity, and other demographic and behavioral factors. Compared with heavier-daily smokers, smokers who were LITS were most likely to have mild or no nicotine dependence (weighted odds ratio [OR], 16.92; 95% confidence interval [CI], 13.10-21.85), to start smoking cigarettes regularly after age 21 (OR, 3.42; 95% CI, 2.84-4.12), and to be Hispanic (OR, 5.38; 95% CI, 4.38-6.61). Additional significant results were found for other categories of smokers. CONCLUSIONS: Based on pooled data from three large national surveys, light and/or intermittent smokers differed in smoking, drug use, and mental health behaviors from heavier-daily, former, and never smokers. Notable differences by level of smoking frequency and intensity were observed for nicotine dependence, age of smoking initiation, and race/ethnicity. IMPACT: Our results may help focus preventive measures and policies for the growing number of light and/or intermittent smokers in the United States because smoking patterns vary by behavioral and socioeconomic factors. Cancer Epidemiol Biomarkers Prev; 26(2); 228-39. ©2016 AACR.

Overweight and obesity trends among active duty military personnel: a 13-year perspective.

BACKGROUND: The U.S. population has shown increasing rates of overweight and obesity in recent years, but similar analyses do not exist for U.S. military personnel. It is important to understand these patterns in the military because of their impact on fitness and readiness. PURPOSE: To assess prevalence and trends in overweight/obesity among U.S. service members and to examine the associations of sociodemographic characteristics, exercise, depression, and substance use with these patterns. METHODS: Analyses performed in 2013 used five large population-based health-related behavior surveys conducted from 1995 to 2008. Main outcome measures were overweight and obesity among active duty military personnel based on BMI. RESULTS: Combined overweight and obesity (BMI≥25) increased from 50.6% in 1995 to 60.8% in 2008, primarily driven by the rise in obesity (BMI≥30) from 5.0% to 12.7%. For overweight, military women showed the largest increase. For obesity, all sociodemographic groups showed significant increases, with the largest among warrant officers, senior enlisted personnel, and people aged 36-45 years. Adjusted multinomial logit analyses found that service members aged 26 years and older, men, non-Hispanic blacks and Hispanics, enlisted personnel, married personnel, and heavy drinkers had the highest risk both for overweight and obesity. CONCLUSIONS: Combined overweight and obesity in active duty personnel rose to more than 60% between 1995 and 2008, primarily because of increased obesity. The high prevalence of overweight and obesity needs attention and has implications for Department of Defense efforts to improve the health, fitness, readiness, and quality of life of the Active Forces.