Discrimination and Tobacco Use Outcomes Among US Adults: Effect Modification by Race/Ethnicity.

INTRODUCTION: Racial/ethnic discrimination (hereafter, discrimination) is associated with tobacco use. However, little is known about the relationship between discrimination and dual/polytobacco use and tobacco use disorder (TUD), including how these relationships vary by race/ethnicity. METHODS: Data on adults 18 and older come from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 35,881). Past-year discrimination was measured using the Experiences of Discrimination scale. Past 30-day exclusive, dual, and polytobacco use was measured as the mutually exclusive use of any combination of four types of tobacco products: cigarettes, electronic nicotine delivery systems, other combustibles (i.e., cigars and pipe), and smokeless tobacco. Past-year TUD was defined according to DSM-5 criteria. Associations between discrimination and exclusive, dual, and polytobacco use and discrimination and TUD were estimated using multinomial logistic regression and logistic regression, respectively. Models were stratified by race/ethnicity (i.e., Hispanic, non-Hispanic (NH) White, NH Black, another race/ethnicity) to assess effect modification. RESULTS: Adults who used tobacco and who had TUD was 24.2% and 19.2%, respectively. More discrimination was associated with higher odds of exclusive, dual, and polytobacco use as well as TUD. Models stratified by race/ethnicity suggest that discrimination was associated with dual/polytobacco use among NH Black adults (OR: 1.05, 95% CI: 1.002-1.11) and NH White adults (OR: 1.18, 95% CI: 1.13-1.22). While more discrimination was associated with TUD among all racial/ethnic groups, the relationship was the strongest for NH White adults. CONCLUSIONS: Discrimination was associated with more severe tobacco use outcomes among multiple racial/ethnic groups, but associations were the strongest for NH White adults.

Cigarette Prices and Disparities in Cessation in the United States.

INTRODUCTION: Achieving cessation in people with established smoking patterns remains a challenge. Increasing cigarette prices has been one of the most effective strategies for lowering smoking rates. It remains unclear how effective it has been in encouraging cessation among adults in recent years and how the effectiveness varies by sociodemographic characteristics. METHODS: Using repeated cross-sectional data collected by the Tobacco Use Supplement of the Current Population Survey, we investigate the relationship between cigarette prices and cessation from 2003 to 2019 in adults 25+. We examine the associations between price and cessation in the population overall and by sex, race/ethnicity, and socioeconomic status. RESULTS: We found mixed support for associations between greater local prices and cessation. Unadjusted models showed that greater local prices were associated with greater odds of cessation, but the associations did not persist after controlling for sociodemographic characteristics. The associations did not significantly differ by respondent characteristics. Sensitivity analysis using alternative specifications and retail state price as the main predictor showed similar results. Sensitivity analysis with controls for e-cigarette use in the 2014-2019 period showed that greater local price was associated with cessation among adults with less than a high school degree. When stratified by year of data collection, results show that greater local prices were associated with cessation after 2009. CONCLUSIONS: Overall, the study adds to the conflicting evidence on the effectiveness of increasing prices on smoking cessation among adults with established smoking patterns. IMPLICATIONS: Higher cigarette prices have been one of the most effective tools for lowering smoking prevalence. It remains unclear how effective they are in encouraging adults with established smoking patterns to quit. Results show that greater local prices were associated with higher odds of cessation, but the association did not persist after sociodemographic adjustment. In a sensitivity analysis, greater local price was associated with cessation among people with less than a high school degree in models controlling for e-cigarette use. We also found evidence that greater local price was associated with cessation after 2009. More comprehensive smoke-free coverage was also associated with greater odds of cessation. The study's results highlight that encouraging cessation among adults with an established smoking pattern remains a challenging policy problem even when cigarette prices rise.

An experimental evaluation of a stopping rule aimed at maximizing cost-quality trade-offs in surveys.

Surveys face difficult choices in managing cost-error trade-offs. Stopping rules for surveys have been proposed as a method for managing these trade-offs. A stopping rule will limit effort on a select subset of cases to reduce costs with minimal harm to quality. Previously proposed stopping rules have focused on quality with an implicit assumption that all cases have the same cost. This assumption is unlikely to be true, particularly when some cases will require more effort and, therefore, more costs than others. We propose a new rule that looks at both predicted costs and quality. This rule is tested experimentally against another rule that focuses on stopping cases that are expected to be difficult to recruit. The experiment was conducted on the 2020 data collection of the Health and Retirement Study (HRS). We test both Bayesian and non-Bayesian (maximum-likelihood or ML) versions of the rule. The Bayesian version of the prediction models uses historical data to establish prior information. The Bayesian version led to higher-quality data for roughly the same cost, while the ML version led to small reductions in quality with larger reductions in cost compared to the control rule.

Racial and Ethnic Disparities in Mental Health Problems and Tobacco and Cannabis Use Among US Emerging Adults.

INTRODUCTION: Mental health problems in emerging adulthood are linked to tobacco and cannabis use, but whether race and ethnicity modifies these associations is unclear. METHODS: We used data from wave 4 of the Population Assessment of Tobacco and Health Study (youth n = 6898, young adult n = 10,304) to conduct latent class analysis (LCA) of six past 30-day tobacco and cannabis use indicators (i.e., cigarettes, electronic nicotine delivery systems (ENDS), cigars, blunts, cannabis vaping, other cannabis). We estimated associations between past 30-day internalizing and externalizing (i.e., low (referent), moderate, high) problems and latent classes of tobacco/cannabis use (vs. never/former use) using adjusted multinomial logistic regression. We explored whether associations varied by race and ethnicity through stratification. RESULTS: We identified four exclusive use latent classes and two dual/poly use latent classes for both youth and young adult samples. Race/ethnicity-stratified models identified associations between internalizing/externalizing problems and most use classes for Hispanic and non-Hispanic White youth/young adults, with mixed results for non-Hispanic Black youth/young adults. For example, Hispanic (OR: 2.50, 95% CI: 1.09-5.74) and non-Hispanic White (OR: 1.90, 95% CI: 1.18-3.06) youth with high internalizing problems had higher odds of ENDS + cannabis vaping. Externalizing problems were not associated with use among non-Hispanic Black youth while internalizing problems were not associated with use among non-Hispanic Black young adults. CONCLUSION: We observed racial/ethnic variation in mental health problems and tobacco and cannabis use. Understanding mental health problem and tobacco product and cannabis use comorbidity may better inform culturally relevant interventions aimed to prevent and reduce use.

Systematic exclusion at study commencement masks earlier menopause for Black women in the Study of Women's Health Across the Nation (SWAN).

BACKGROUND: Shorter average lifespans for minoritized populations are hypothesized to stem from 'weathering' or accelerated health declines among minoritized individuals due to systemic marginalization. However, evidence is mixed on whether racial/ethnic differences exist in reproductive ageing, potentially due to selection biases in cohort studies that may systematically exclude 'weathered' participants. This study examines racial/ethnic disparities in the age of menopause after accounting for differential selection 'into' (left truncation) and 'out of' (right censoring) a cohort of midlife women. METHODS: Using data from the Study of Women's Health Across the Nation (SWAN) cross-sectional screener (N = 15 695) and accompanying ∼20-year longitudinal cohort (N = 3302) (1995-2016), we adjusted for potential selection bias using inverse probability weighting (left truncation) to account for socio-demographic/health differences between the screening and cohort study, and multiple imputation (right censoring) to estimate racial/ethnic differences in age at menopause (natural and surgical). RESULTS: Unadjusted for selection, no Black/White differences in menopausal timing [hazard ratio (HR)=0.98 (0.86, 1.11)] were observed. After adjustment, Black women had an earlier natural [HR = 1.13 (1.00, 1.26)] and surgical [HR= 3.21 (2.80, 3.62)] menopause than White women with natural menopause-corresponding to a 1.2-year Black/White difference in menopause timing overall. CONCLUSIONS: Failure to account for multiple forms of selection bias masked racial/ethnic disparities in the timing of menopause in SWAN. Results suggest that there may be racial differences in age at menopause and that selection particularly affected the estimated menopausal age for women who experienced earlier menopause. Cohorts should consider incorporating methods to account for all selection biases, including left truncation, as they impact our understanding of health in 'weathered' populations.

Exploring the Potential for Smoke-Free Laws to Reduce Smoking Disparities by Sexual Orientation in the USA.

BACKGROUND: We examined associations between smoke-free laws and smoking outcomes in a nationally representative sample of US adults, including exploring whether these associations differed for heterosexual and sexual minority (SM) adults. METHODS: We constructed county-level variables representing the percent of the population covered by state-, county-, or city-level smoke-free laws in workplaces and hospitality venues. We combined this information with restricted individual-level adult data with masked county identifiers from the National Health Interview Survey (NHIS), 2013-2018. We used modified Poisson regression to explore associations between each type of smoke-free law and the prevalence ratio (PR) of current smoking, and we used linear regression to explore associations with smoking intensity (mean cigarettes per day). We assessed interactions between smoke-free laws and SM status on the additive scale to determine whether associations were different for SM and heterosexual adults. RESULTS: In adjusted models without interaction terms, smoke-free laws in hospitality venues were associated with lower prevalence of current smoking (PR = 0.93, 95% confidence interval (CI) = 0.89, 0.98). Both types of smoke-free laws were associated with lower mean cigarettes per day (workplace law change in mean = - 0.50, 95% CI = - 0.89, - 0.12; hospitality law change in mean = - 0.72, 95% CI = - 1.14,-0.30). We did not observe any statistically significant interactions by SM status, though statistical power was limited. CONCLUSIONS: We did not find evidence that smoke-free laws were differentially associated with smoking outcomes for heterosexual and SM adults. Additional studies are needed to further explore the potential for tobacco control policies to address the elevated risk of smoking in SM communities.

Televised Anti-Tobacco Media and Smoking Outcomes Among Heterosexual and Sexual Minority Adults in the United States.

BACKGROUND: The prevalence of smoking is higher among sexual minority (SM) individuals compared with heterosexuals. The impact of televised anti-tobacco mass media campaigns on smoking outcomes among SMs is not known. AIMS: We examined whether televised anti-tobacco advertising was differentially associated with current smoking and smoking intensity for SM and heterosexual adults. METHOD: We combined county-level anti-tobacco advertising data (gross rating points) with restricted, geocoded individual-level National Health Interview Survey data on smoking (2013-2015). We estimated associations between advertising and smoking outcomes, including potential effect modification by SM status. RESULTS: Greater anti-tobacco advertising exposure was associated with lower smoking prevalence (prevalence ratio [PR] = 0.97; 95% confidence interval [CI] = [0.94, 1.00]). Although the direction of the association differed for heterosexual and SM adults, differences were not statistically significant. No significant associations were observed with regard to smoking intensity. CONCLUSION: Associations between anti-tobacco advertising and smoking were not significantly different for heterosexual and SM adults.

Novel use of a virtual driving assessment to classify driver skill at the time of licensure.

Motor vehicle crash rates are highest immediately after licensure, and driver error is one of the leading causes. Yet, few studies have quantified driving skills at the time of licensure, making it difficult to identify at-risk drivers before independent driving. Using data from a virtual driving assessment implemented into the licensing workflow in Ohio, this study presents the first population-level study classifying degree of skill at the time of licensure and validating these against a measure of on-road performance: license exam outcomes. Principal component and cluster analysis of 33,249 virtual driving assessments identified 20 Skill Clusters that were then grouped into 4 major summary "Driving Classes"; i) No Issues (i.e. careful and skilled drivers); ii) Minor Issues (i.e. an average new driver with minor vehicle control skill deficits); iii) Major Issues (i.e. drivers with more control issues and who take more risks); and iv) Major Issues with Aggression (i.e. drivers with even more control issues and more reckless and risk-taking behavior). Category labels were determined based on patterns of VDA skill deficits alone (i.e. agnostic of the license examination outcome). These Skill Clusters and Driving Classes had different distributions by sex and age, reflecting age-related licensing policies (i.e. those under 18 and subject to GDL and driver education and training), and were differentially associated with subsequent performance on the on-road licensing examination (showing criterion validity). The No Issues and Minor Issues classes had lower than average odds of failing, and the other two more problematic Driving Classes had higher odds of failing. Thus, this study showed that license applicants can be classified based on their driving skills at the time of licensure. Future studies will validate these Skill Cluster classes in relation to their prediction of post-licensure crash outcomes.

Impact of the Tips From Former Smokers Anti-Smoking Media Campaign on Youth Smoking Behaviors and Anti-Tobacco Attitudes.

INTRODUCTION: Anti-tobacco media campaigns can prevent youth smoking, but there is little research on how adult-targeted campaigns affect youth. We investigated the association between the Tips From Former Smokers (Tips) campaign and youth smoking behaviors and anti-tobacco attitudes, and variation by sex, race and/or ethnicity, or socioeconomic status. AIMS AND METHODS: We used data from the monitoring of the future study, a nationally representative survey on 8th, 10th, and 12th graders, from 2013-2015. Quartiles of Tips gross rating points (GRPs) were used to estimate exposure. Youth smoking behavior outcomes included smoking prevalence, initiation, and susceptibility. The anti-tobacco attitude outcomes included the extent that anti-tobacco ads made participants (1) less favorable towards smoking or (2) less likely to smoke cigarettes. Modified Poisson regression models estimated average marginal effects; separate additive interactions between Tips GRP exposure and sex, race and/or ethnicity, parents' highest education, and college plans (12th graders only) were used to test for effect modification. RESULTS: Tips GRPs were not associated with smoking behaviors within any grade. However, 12th graders in the highest quartile of Tips had a 7.0 percentage point higher probability (95% CI = 0.023-0.116) of responding that anti-tobacco ads made them less likely to smoke. Tips GRPs were associated with a lower probability of past 30-day smoking prevalence among 10th grade females, but not males (joint P-value = .002). No additional statistically significant interactions were found for any other outcomes for any grade. CONCLUSIONS: This study revealed the potential for adult-targeted campaigns to increase youth's anti-smoking attitudes, but campaign exposure was not associated with smoking behaviors. IMPLICATIONS: Few studies have examined the potential for anti-smoking media campaigns to influence audiences outside their targeted audience. In this study, we show the potential for adult-targeted campaigns to impact youth and suggest that Tips exposure may promote anti-smoking attitudes among youth.

Tobacco 21 laws may reduce smoking and tobacco-related health disparities among youth in the U.S.

The goal of our study is to understand the impact of Tobacco 21 (T21) laws on youth smoking and health equity. We conducted modified Poisson regression models using 2014-2019 Monitoring the Future data to measure the impact of attending school in a county 100% covered by a T21 law versus counties with <100% T21 coverage on past 30-day smoking participation (n = 262,632), first cigarette smoking initiation (n = 189,698), and daily smoking initiation among 8th, 10th, and 12th graders (n = 214,496), separately. Additive interactions were tested between T21 coverage and sex, race/ethnicity, parental education, and college plans. T21 coverage was associated with a lower likelihood of smoking participation among 12th graders. T21 coverage was most strongly associated with a lower likelihood of smoking participation among: Hispanic and NH (Non-Hispanic) Other/Multiracial individuals; respondents with parents who had less than a college education; and respondents who were not definitely planning on attending college. T21 laws were associated with a lower likelihood of smoking participation among 12th graders. T21 policies were most impactful for individuals disproportionately impacted by tobacco, indicating T21 laws might help reduce tobacco-related health disparities.

A longitudinal analysis of smoke-free laws and smoking initiation disparities among young adults in the United States.

BACKGROUND AND AIMS: Tobacco control policies may differentially impact smoking initiation among socio-demographic groups. We measured longitudinal associations between exposure to smoke-free laws in grade 12 (modal age 18 years) and patterns of smoking initiation in the United States. DESIGN: Prospective longitudinal analysis. SETTING AND PARTICIPANTS: We used data on US young adults sampled at modal age 18 years from the Monitoring the Future Survey. Baseline data were collected between 2000 and 2017, with the last year of follow-up in 2018. The sample number varied by outcome and time-point, ranging from 7314 to 17 702. MEASUREMENTS: Smoke-free law coverage in work-places and hospitality venues (restaurants/bars) was measured as the percentage of the county population covered by each type of law. We examined associations with any past 30-day smoking initiation and daily smoking initiation at modal ages 19/20, 21/22 and 23/24, using Poisson regression and calculating average marginal effects. We explored effect modification by sex, race/ethnicity and parental education by testing the significance of interaction terms. FINDINGS: Work-place law coverage at modal age 18 was associated with a lower probability of daily smoking initiation at modal ages 21/22 [-2.4 percentage points (p.p.); 95% confidence interval (CI) = -3.9, -0.9] and 23/24 (-2.0 p.p.; 95% CI = -3.9, -0.2). Hospitality law coverage was associated with a lower probability of daily smoking initiation at modal ages 19/20 (-1.6 p.p.; 95% CI = -2.8, -0.4), 21/22 (-2.3 p.p.; 95% CI = -3.7, -0.9) and 23/24 (-1.8 p.p.; 95% CI = -3.6, -0.0). Findings were inconclusive with regard to associations with any past 30-day smoking initiation and with regard to effect modification, after adjusting for multiple testing. CONCLUSIONS: Exposure to smoke-free laws at age 18 appears to be prospectively associated with reduced daily smoking initiation 1-6 years later.

Cigarette Pack Price and Its Within-Person Association With Smoking Initiation, Smoking Progression, and Disparities among Young Adults.

BACKGROUND: There is a dearth of research on within-person relationships between tobacco price and cigarette smoking initiation and progression in young adulthood. This project examines the within-person association between cigarette pack price and smoking initiation and progression between age 18 and 21/22, focusing on differences across subgroups. METHODS: Data came from the longitudinal Monitoring the Future (MTF) project. MTF examines drug use behaviors with nationally representative samples of 12th graders annually. Subsamples of 12th graders are annually selected and followed longitudinally. Among 12th graders from baseline years 2000-2014, we examined past 30-day cigarette smoking initiation among baseline never smokers (N = 15 280) and progression to daily smoking among youth who were not daily smokers at baseline (N = 26 998). We used hierarchical logistic regression and interaction terms to assess differences across sex, race/ethnicity, and parental education. RESULTS: The within-person relationship between pack price and smoking indicated that a one-dollar increase in pack price corresponded with a 72% decrease in the odds of initiation (AOR = 0.28, 95% CI = 0.18, 0.44) and 70% decrease in the odds of progression to daily smoking (AOR = 0.30, 95% CI = 0.21, 0.44). There was a linear age trend for both smoking initiation and progression. There were no statistically significant interactions between price and demographics, making it difficult to disentangle differences across subgroups. CONCLUSIONS: Exposure to increased cigarette prices during young adulthood was associated with lower odds of cigarette smoking initiation and progression. Additional policies and programs beyond cigarettes prices could help reduce tobacco-related disparities in smoking initiation and progression among young adults. IMPLICATIONS: There is a strong, within-person relationship between cigarette prices and smoking initiation and progression during the transition to young adulthood: higher prices are associated with decreased odds of both initiation and progression. Cigarette taxation can help to prevent smoking initiation and progression among youth, but it is less clear how taxes are associated with disparities in smoking experienced by certain subgroups. We could not draw definitive conclusions about the impact of cigarette prices on tobacco-related disparities. Tobacco taxes should be increased on a regular basis to ensure young adults experience within-person increases in prices, and complementary programs geared toward reducing tobacco-related disparities among young adults should be promoted.

Examining Truth and State-Sponsored Media Campaigns as a Means of Decreasing Youth Smoking and Related Disparities in the United States.

INTRODUCTION: To analyze the impact of Truth and state-sponsored anti-tobacco media campaigns on youth smoking in the United States, and their potential to reduce tobacco-related health disparities. AIMS AND METHODS: Our study included data from the 2000-2015 Monitoring the Future study, an annual nationally representative survey of youth in 8th (n = 201 913), 10th (n = 194 468), and 12th grades (n = 178 379). Our primary exposure was Gross Rating Points (GRPs) of Truth or state-sponsored anti-tobacco advertisements, from Nielsen Media Research. Modified Poisson regression was used to assess the impact of a respondent's GRPs on smoking intentions, past 30-day smoking participation, and first and daily smoking initiation. Additive interactions with sex, parental education, college plans, and race/ethnicity were used to test for differential effects of campaign exposure on each outcome. RESULTS: Greater campaign exposure (80th vs. 20th GRP percentile) was associated with lower probabilities of smoking intentions among 8th graders, smoking participation among 8th and 12th graders, and initiation among 8th graders. Greater exposure was associated with a greater reduction in the likelihood of smoking participation among 10th and 12th grade males than females; 10th and 12th graders with parents of lower education versus those with a college degree; and 12th graders who did not definitely plan to go to college relative to those who did. CONCLUSIONS: Media campaign exposure was associated with a lower likelihood of youth smoking behaviors. Associations were more pronounced for groups disproportionately affected by smoking, including youth of lower socioeconomic status. Media campaigns may be useful in reducing smoking disparities and improving health equity. IMPLICATIONS: Few recent studies have investigated the impact of anti-tobacco media campaigns on youth smoking and their potential to reduce tobacco-related health disparities in the United States. We found media campaigns-specifically state-sponsored media campaigns-reduced the likelihood of several smoking outcomes among youth, with some evidence that they mitigate disparities for disproportionately affected groups.

Latent class analysis of use frequencies for multiple tobacco products in US adults.

A persistent challenge is characterizing patterns of tobacco use in terms of product combinations and frequency. Using Wave 4 (2016-17) Population Assessment of Tobacco and Health Study adult data, we conducted latent class analyses (LCA) of past 30-day frequency of use for 9 tobacco products. One-step LCA with joint multinomial logistic regression models compared sociodemographic factors between users (n = 13,716) and non-users (n = 17,457), and between latent classes of users. We accounted for survey design and weights. Our analyses identified 6 classes: in addition to non-users (C0: 75.7%), we found 5 distinct latent classes of users: daily exclusive cigarette users (C1: 15.5%); occasional cigarette and polytobacco users (C2: 3.8%); frequent e-product and occasional cigarette users (C3: 2.2%); daily smokeless tobacco (SLT) and infrequent cigarette users (C4: 2.0%); and occasional cigar users (C5: 0.8%). Compared to C1: C2 and C3 had higher odds of being male (versus female), younger (especially 18-24 versus 55 years), and having higher education; C2 had higher, while C3 and C4 had lower, odds of being a racial/ethnic minority (versus Non-Hispanic White); C4 and C5 had much higher odds of being male (versus female) and heterosexual (versus sexual minority) and having higher income; and C5 had higher odds of college or more education. We identified three classes of daily or frequent users of a primary product (cigarettes, SLT or e-products) and two classes of occasional users (cigarettes, cigars and polytobacco). Sociodemographic differences in class membership may influence tobacco-related health disparities associated with specific patterns of use.

Exploring How Exposure to Truth and State-Sponsored Anti-Tobacco Media Campaigns Affect Smoking Disparities among Young Adults Using a National Longitudinal Dataset, 2002-2017.

BACKGROUND: Little is known regarding long-term impacts of anti-tobacco media campaigns on youth smoking and related disparities in the United States. METHODS: We examined longitudinal cohort data from Monitoring the Future (MTF) between 2000 and 2017 in modified Poisson regression models to understand the long-term impacts of televised Truth and state-sponsored ad campaign exposure at baseline (age 18) on first cigarette and daily smoking initiation 1 to 2 years later (at modal ages 19/20). We also used additive interactions to test for potential effect modification between campaign exposure and smoking outcomes by sex, race/ethnicity, and parental educational attainment. RESULTS: We found no evidence for baseline media campaign exposure to be associated with first cigarette or daily smoking initiation at modal age 19/20. Further, results showed no evidence for effect modification between campaign exposure and first cigarette or daily smoking initiation. CONCLUSIONS: We found no evidence that baseline Truth and state-sponsored ad exposure was associated with first cigarette or daily smoking initiation at follow up, nor did we find any evidence for effect modification by sex, race/ethnicity, or parental education. We hypothesize that anti-tobacco media campaigns might have had a short-term impact on smoking behaviors, though these effects were not sustained long term.

Smoke-Free Laws and Disparities in Youth Smoking in the U.S., 2001-2018.

INTRODUCTION: This study examines whether smoke-free laws are differentially associated with youth smoking outcomes by parental education, race/ethnicity, sex, and college plans in a U.S. METHODS: This study assessed the relationships between smoke-free laws in workplaces and hospitality venues (restaurants/bars) and past 30-day smoking participation, first cigarette initiation, and daily smoking initiation within a repeated cross-sectional sample of 8th, 10th, and 12th graders from the Monitoring the Future study. Data were collected between 2001 and 2018 and were analyzed in 2020-2021. Grade-stratified Poisson models were used to calculate prevalence ratios and average marginal effects, incorporating interaction terms to examine differential associations across groups. RESULTS: Hospitality smoke-free laws were significantly associated with lower probabilities of smoking participation in all grades as well as with first cigarette and daily smoking initiation in 8th and 10th grade. Workplace smoke-free laws were associated with lower probabilities of smoking participation among 10th and 12th graders as well as with first cigarette and daily smoking initiation among 10th graders. Average marginal effects ranged from -0.4 percentage points (hospitality laws and daily smoking initiation in 8th and 10th grades) to -2.2 percentage points (workplace laws and smoking participation in 10th grade). Associations between smoke-free laws and a lower probability of smoking participation were most pronounced among students who definitely planned to attend college. Other instances of effect modification suggested more pronounced associations for students who were female and from high-SES households; however, relationships varied by grade. CONCLUSIONS: Smoke-free laws were associated with reduced smoking among youth; however, associations varied by grade, sex, parental education, and college plans.

The Association between Quitline Characteristics and Smoking Cessation by Educational Attainment, Income, Race/Ethnicity, and Sex.

Little research examines how tobacco quitlines affect disparities in smoking cessation in the United States. Our study utilized data from the Tobacco Use Supplement to the Current Population Survey (2010, 2011, 2012, 2015, 2018) (TUS-CPS) and state-level quitline data from the North American Quitline Consortium and National Quitline Data Warehouse. We ran multilevel logistic regression models assessing a state-run quitline's budget, reach, number of counseling sessions offered per caller, and hours of operation on 90-day smoking cessation. Multiplicative interactions between all exposures and sex, race/ethnicity, income, and education were tested to understand potential effect modification. We found no evidence that budget, reach, number of counseling sessions, or hours available for counseling were associated with cessation in the main effects analyses. However, when looking at effect modification by sex, we found that higher budgets were associated with greater cessation in males relative to females. Further, higher budgets and offering more sessions had a stronger association with cessation among individuals with lower education, while available counseling hours were more strongly associated with cessation among those with higher education. No quitline characteristics examined were associated with smoking cessation. We found evidence for effect modification by sex and education. Despite proven efficacy at the individual-level, current resource allocation to quitlines may not be sufficient to improve rates of cessation.

Anti-Smoking Media Campaigns and Disparities in Smoking Cessation in the United States, 2001-2015.

PURPOSE: To evaluate sociodemographic differences in the relationship between state and national anti-smoking media campaigns and cessation behaviors among adult smokers in the U.S. DESIGN: Repeated cross-sectional analysis. SETTING: U.S. nationally representative survey of adults ages 18 and older, 2001-2015. SUBJECTS: 76,278 year-ago smokers from the 2001-2015 Tobacco Use Supplement to the Current Population Survey. MEASURES: Area-level exposure to State-sponsored and "Tips from former smokers" anti-tobacco media campaigns was the primary predictor of this study. Outcome variables included: quit attempt in the past 12 months, past 30-day smoking cessation, and past 90-day smoking cessation among year-ago smokers. ANALYSIS: We conducted modified Poisson regression models to examine the association between media campaign exposure and cessation behaviors. We also examined effect modification on the additive scale by sex, race/ethnicity, income, and education using average marginal effects. RESULTS: Year-ago smokers with greater exposure to media campaigns were more likely to report 30-day (Prevalence Ratio [PR]: 1.18, CI: 1.03, 1.36) and 90-day cessation (PR: 1.18, CI: 1.00, 1.41) compared to respondents with less campaign exposure. We found no evidence of effect modification by sociodemographic variables. CONCLUSION: Exposure to anti-smoking media campaigns were associated with year-ago smokers' cessation behaviors. However, there were no differences in the association by sex, race/ethnicity, income, or education, indicating that broadly focused media campaigns may be insufficient to reduce smoking cessation among priority populations, and thus health disparities generally.

Taxation reduces smoking but may not reduce smoking disparities in youth.

OBJECTIVE: This study examines the extent to which cigarette taxes affect smoking behaviour and disparities in smoking among adolescents by gender, socioeconomic status (SES) and race/ethnicity. METHODS: We used US nationally representative, repeated cross-sectional data from the 2005 to 2016 Monitoring the Future study to evaluate the relationship between state cigarette taxes and past 30-day current smoking, smoking intensity, and first cigarette and daily smoking initiation using modified Poisson and linear regression models, stratified by grade. We tested for interactions between tax and gender, SES and race/ethnicity on the additive scale using average marginal effects. RESULTS: We found that higher taxes were associated with lower smoking outcomes, with variation by grade. Across nearly all of our specifications, there were no statistically significant interactions between tax and gender, SES or race/ethnicity for any grades/outcomes. One exception is that among 12th graders, there was a statistically significant interaction between tax and college plans, with taxes being associated with a lower probability of 30-day smoking among students who definitely planned to attend college compared with those who did not. CONCLUSION: We conclude that higher taxes were associated with reduced smoking among adolescents, with little difference by gender, SES and racial/ethnicity groups. While effective at reducing adolescent smoking, taxes appear unlikely to reduce smoking disparities among youth.

Area-Level Predictors of Tobacco 21 Coverage in the U.S. Before the National Law: Exploring Potential Disparities.

INTRODUCTION: The goal of the paper is to characterize the geographic and sociodemographic patterns of policies prohibiting tobacco sales to people aged <21 years (i.e., Tobacco 21) at the local, county, and state levels in the U.S. before the national law. METHODS: This study assessed area-level markers for region, race/ethnicity, education, poverty status, and smoke-free law coverage as predictors of Tobacco 21 passage as of December 20, 2019, using modified Poisson and negative binomial regression models with robust SEs. Data were analyzed in 2020. RESULTS: Before the passage of the national policy, 191 million people were covered by Tobacco 21 laws. Counties with higher percentages of non-Hispanic Blacks and individuals living below the poverty line had a lower probability of coverage, whereas counties with higher percentages of Hispanics/Latinxs and individuals with a college degree had a higher probability of coverage. Tobacco 21 coverage also varied by region, with far greater coverage in the Northeast than in the Midwest and South. CONCLUSIONS: The national Tobacco 21 law may address disparities in coverage by SES, race/ethnicity, and region that could have lasting implications with regard to health equity.