Strong smoke-free law coverage in the United States by race/ethnicity: 2000-2009

The effect of smokeless tobacco (SLT) excise taxes on SLT use among youth

BACKGROUND

Smokeless Tobacco (SLT) use prevalence among youth in the United States (US) is comparable to youth prevalence of cigarette smoking. However, it is in general understudied compared to cigarettes and draws less attention nowadays compared to e-cigarettes (ECs).

AIM

We estimate the own- and cross-tax elasticities of SLT use among US youth and explicitly test how SLT use changes in response to taxes on SLT, cigarettes, ECs, and beer.

METHODS

We standardized SLT taxes for chewing tobacco, moist snuff, dry snuff, and snus, and computed average SLT taxes. We implemented a logit regression model within the state- and year-fixed effects framework.

RESULTS

A 10 % increase in SLT excise taxes reduced youth SLT use by 4 % (p < 0.01). This result is primarily driven by males, Whites, multiple non-Hispanic races, other races, and individuals living in non-Appalachian states. In addition, a 10 % increase in cigarette taxes increases youth SLT use by 8 % (p < 0.05), suggesting substitutional effects. A 10 % increase in EC and beer taxes reduce SLT use by 0.5 % and 2.4 % (p < 0.01), respectively, suggesting complementary effects.

CONCLUSION

Raising excise taxes on SLT products can effectively curtail their usage among the youth population. Furthermore, increasing EC and beer taxes reduces youth SLT use. However, an increase in cigarette taxes leads to an unintended consequence of promoting SLT use among youth. In addition, increasing SLT taxes does not appear to significantly impact the disparities in youth SLT use by whether living in Appalachian states. Future research is needed to assess whether SLT taxes reduce disparities in use by rural/urban divisions.

A proof-of-concept trial of a smoking cessation and anxiety sensitivity reduction smartphone application for Black adults

Black persons who smoke are recognized as a smoking health disparity group and face higher rates of tobacco-related disease and morbidity. These disparities result from, in part, exposure to minority-related stress, which results in lower rates of quit success. Anxiety sensitivity (AS), which refers to the fear of stress, is associated with lower rates of cessation and impedes quit success among Black adults who smoke. The current study evaluated the feasibility, utilization, acceptability, and initial efficacy of a smoking cessation and AS reduction smartphone application for Black adults with elevated AS who smoke (The Mobile Anxiety Sensitivity Program for Smoking [MASP]). Participants (N = 24; 62.50% female; Mage = 47.83 years, SD = 9.32) participated in a 6-week trial of MASP. Retention was 83.33% at the 6-week follow-up and MASP utilization was high, with all features used by most participants. Participants reported that MASP was acceptable and 25% of participants reported 7-day point-prevalence abstinence, demonstrating strong utility and impact potential. Results also indicated a statistically significant reduction in AS from baseline to follow-up (p = .003, Cohen's d=.76). Black persons who smoke with AS may benefit from an accessible, adaptive app with culturally tailored treatment that addressed AS in the context of smoking cessation.

Variability in self-reported and biomarker-derived tobacco smoke exposure patterns among individuals who do not smoke by poverty income ratio in the USA

INTRODUCTION

Tobacco smoke exposure (TSE) among individuals who do not smoke has declined in the USA, however, gaps remain in understanding how TSE patterns across indoor venues-including in homes, cars, workplaces, hospitality venues, and other areas-contribute to TSE disparities by income level.

METHODS

We obtained data on adults (ages 18+, N=9909) and adolescents (ages 12-17, N=2065) who do not smoke from the National Health and Nutrition Examination Survey, 2013-2018. We examined the prevalence of self-reported, venue-specific TSE in each sample, stratified by poverty income ratio (PIR) quartile. We used linear regression models with a log-transformed outcome variable to explore associations between self-reported TSE and serum cotinine. We further explored the probability of detectable cotinine among individuals who reported no recent TSE, stratified by PIR.

RESULTS

Self-reported TSE was highest in cars (prevalence=6.2% among adults, 14.2% among adolescents). TSE in own homes was the most strongly associated with differences in log cotinine levels (β for adults=1.92, 95% CI=1.52 to 2.31; β for adolescents=2.37 95% CI=2.07 to 2.66), and the association between home exposure and cotinine among adults was most pronounced in the lowest PIR quartile. There was an income gradient with regard to the probability of detectable cotinine among both adults and adolescents who did not report recent TSE.

CONCLUSIONS

Homes and vehicles remain priority venues for addressing persistent TSE among individuals who do not smoke in the USA. TSE survey measures may have differential validity across population subgroups.

Anxiety Sensitivity and Distress Tolerance in Relation to Smoking Abstinence Expectancies Among Black Individuals Who Smoke

OBJECTIVE

Black individuals who smoke in the United States experience significant tobacco-related disparities. Although prior work has established that smoking abstinence expectancies play an important role in smoking-related outcomes, few studies have examined potential individual difference factors that may be relevant to smoking abstinence expectancies among Black individuals who smoke. The present study investigated anxiety sensitivity and distress tolerance in relation to smoking abstinence expectancies among a sample of Black individuals who smoke.

METHOD

Participants were 86 Black adults who smoke cigarettes daily (M age = 46.07 years, SD = 10.37; 26.7% female). Four separate linear regression analyses were conducted to evaluate the relation between anxiety sensitivity, distress tolerance, and their interaction with each of the four smoking abstinence expectancies (i.e., somatic symptoms, positive consequences, harmful consequences, and negative mood).

RESULTS

Results indicated that higher anxiety sensitivity was related to higher somatic symptoms, harmful consequences, and negative mood abstinence expectancies, whereas distress tolerance was related to higher positive consequences. Further, anxiety sensitivity and distress tolerance interacted to confer greater expectancies for the positive consequences of quitting.

CONCLUSIONS

The current findings are among the first to document that anxiety sensitivity and distress tolerance are clinically relevant factors to consider when tailoring smoking cessation treatments for Black individuals who smoke. Future research is needed to examine distress tolerance and anxiety sensitivity as longitudinal predictors of smoking abstinence expectancies among Black individuals who smoke.

Trends and factors associated with secondhand smoke exposure among US cancer survivors, 2013-2020

BACKGROUND

Secondhand smoke (SHS) poses a significant public health threat. Cancer survivors are at a greater risk of adverse health outcomes from SHS because of its association with poor prognosis and other downstream clinical events.

METHODS

A nationally representative sample of US adults aged 20 years and older was analyzed from the National Health and Nutrition Examination Survey between 2013 and 2020. Data on indoor SHS exposure were reported by 16,778 adults who were not currently smoking (1775 cancer survivors; 15,003 individuals without a cancer history). The weighted prevalence of SHS exposure was estimated and compared across sociodemographic and health-related characteristics. Multivariable logistic regression models were fitted to identify correlates of SHS exposure.

RESULTS

Of the 1775 nonsmoking cancer survivors (mean age, 64.9 years; 57.0% female; 84.4% non-Hispanic Whites), 15.8% reported SHS exposure. No significant change in trends of SHS exposure was observed during the study period. The prevalence of SHS exposure was higher in cancer survivors who were younger, racial minorities, and had a household income below 130% of the federal poverty level. After adjustment for multiple correlates, age below 40 years, low income, smoking history, and diagnosis within 2 years were associated with SHS exposure. Cancer survivors were most likely to report that SHS exposure occurred at home or in a car.

CONCLUSIONS

The prevalence of SHS exposure among cancer survivors remained steady in the past decade. However, disparities exist in SHS exposure among cancer survivors across sociodemographic characteristics and smoking status. Smoking cessation programs should be promoted among caregivers and families of cancer survivors.

The Economics of Tobacco Regulation: A Comprehensive Review

Tobacco regulation has been a major component of health policy in the developed world since the UK Royal College of Physicians' and the US Surgeon General's reports in the 1960s. Such regulation, which has intensified in the past two decades, includes cigarette taxation, place-based smoking bans in areas ranging from bars and restaurants to workplaces, and regulations designed to make tobacco products less desirable. More recently, the availability of alternative products, most notably e-cigarettes, has increased dramatically, and these products are just starting to be regulated. Despite an extensive body of research on tobacco regulations, there remains substantial debate regarding their effectiveness, and ultimately, their impact on economic welfare. We provide the first comprehensive review of the state of research in the economics of tobacco regulation in two decades.

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.

Are sexual minority adults differentially exposed to smoke-free laws and televised anti-tobacco media campaigns compared to the general US population? A descriptive analysis

BACKGROUND

Sexual minority (SM) (gay, lesbian and bisexual) adults are at higher risk of smoking compared with heterosexual individuals, yet little is known about how the tobacco control policy landscape interacts with sexual orientation smoking disparities.

METHODS

We conducted a descriptive analysis to explore differential exposure to smoke-free laws and televised anti-tobacco media using two sources of national data from the United States: Census data on same-sex couple households/all households and data on SM adults/all adults from the National Health Interview Survey (NHIS). We combined this information with variables representing the proportion of individuals in each county covered by smoke-free laws (2013-2017), and average county-level exposure to televised anti-tobacco media campaigns (2013-2015). We compared average coverage levels for SM populations to average coverage levels for the broader US population.

RESULTS

Between 2013 and 2017, same-sex couple households/SM adults lived in counties with higher levels of smoke-free law coverage compared with all US households/adults for workplaces (Census: 71.3% vs 68.0%; NHIS: 70.7% vs 67.9%) and hospitality venues (Census: 82.3% vs 77.0%; NHIS: 80.5% vs 77.2%). There were no consistent differences in exposures to anti-tobacco media campaigns across datasets.

CONCLUSIONS

SM adults may be more likely to live in areas with smoke-free laws, compared with the general population. Findings point to the need to examine other potential drivers of smoking in SM populations.

Geographical distribution and social determinants of Tobacco 21 policy adoption and retail inspections in the United States, 2015-2019

INTRODUCTION

Tobacco control laws that raise the minimum age of tobacco sales to 21 years (T21) play a pivotal role in youth tobacco prevention, yet empirical data are sorely needed to inform enforcement, compliance efforts, and future legislation.

METHODS

Spatial analysis was conducted at the zip code level by geocoding the states and localities that adopted T21 ordinances from 2015 to 2019. A multi-level logistic regression model was conducted to examine disparities in neighborhood socioeconomic status (SES), FDA retail inspection, and state-level tobacco control policies associated with T21 adoption.

RESULTS

T21 adoption at the state and local level increased considerably from 1.4% of zip codes in 2015 to 40.2% in 2019. However, the T21 ordinances were disproportionally adopted in New England (82.6%) and Pacific (73.6%) regions with scarce coverage in East South Central (<0.1%), Mountain (1.6%), and West North Central regions (6.1%). The T21 policies were more likely to be adopted in areas with stronger tobacco control policies, urban areas (vs rural, adjusted odds ratio, AOR=1.25, p=0.005), areas with a larger Hispanic (AOR=1.19, p<0.0001) or Asian population (AOR=1.12, p<0.0001), and in areas where the population had higher levels of education (AOR=1.05, p<0.0001). It was less likely to be adopted in areas with larger proportions of American Indians, youths, and young adults. Nearly 40% of zip codes with tobacco retailers did not receive annual FDA tobacco retail inspections for underage sales in 2019. The average retail violation rate of underage sales of tobacco products in T21 regions was lower than in non-T21 regions.

CONCLUSIONS

Disparities in T21 adoption, retail inspections, and retail compliance may limit the policy impact. Unified enforcement of youth tobacco access restrictions with resources and interventions in vulnerable communities is needed to reduce tobacco-related health disparities.

Smoke-Free Laws and Disparities in Secondhand Smoke Exposure Among Nonsmoking Adults in the United States, 1999-2014

INTRODUCTION

Little is known about the relationship between smoke-free laws and persistent disparities in secondhand smoke (SHS) exposure among nonsmoking adults in the United States.

AIMS AND METHODS

We constructed time-varying smoke-free law measures representing whether or not at least 50% of each US county's population was covered by smoke-free laws in workplaces and hospitality venues (restaurants/bars). We merged these data with restricted data on cotinine-derived SHS exposure among nonsmokers from the National Health and Nutrition Examination Survey, 1999-2014 (N = 25 444). Using logistic regression, we estimated associations between smoke-free law coverage and SHS exposure among all nonsmokers, and within age strata (25-39, 40-59, 60+). We explored differential associations by gender, race/ethnicity, education, and poverty-income ratio (PIR) by testing the significance of interactions terms for the full sample and within age strata.

RESULTS

In adjusted models, hospitality coverage was associated with lower odds of SHS exposure in the full sample (odds ratio [OR] = 0.62; 95% confidence interval [CI] = 0.51-0.76), and within each age group, with ORs ranging from 0.58 (ages 25-39) to 0.67 (ages 60+). Workplace coverage was associated with lower SHS exposure only among younger adults (OR = 0.81; 95% CI = 0.65-0.99). Within the full sample and among adults ages 40-59, hospitality laws were associated with narrowing SHS exposure differentials between males and females. Among adults ages 40-59, workplace laws were associated with narrowing exposure differentials between males and females, but worsening exposure disparities by PIR.

CONCLUSIONS

Smoke-free laws may reduce SHS exposure among adult nonsmokers, but may be insufficient to improve disparities in SHS exposure.

IMPLICATIONS

In a repeated cross-sectional sample of adult nonsmokers, smoke-free laws in hospitality venues were consistently associated with lower odds of SHS exposure and appeared to narrow exposure differentials between males and females. Associations between workplace smoke-free laws and SHS exposure were variable by age. Among adults ages 40-59, workplace laws were associated with narrowing exposure differentials between males and females while exacerbating exposure differentials by PIR. Differential patterns of association highlight the need to examine the impacts of tobacco control policies on downstream health equity.

Harm Perceptions of Tobacco/Nicotine Products and Child Exposure: Differences between Non-Users, Cigarette-Exclusive, and Electronic Cigarette-Exclusive Users

Objective

This study examined caregiver perception of harm and child secondhand exposure to nicotine in a sample of e-cigarette-exclusive, cigarette-exclusive, and non-tobacco/nicotine users (non-users).

Methods

Cigarette-exclusive (n = 19), e-cigarette-exclusive (n = 12), and non-users (n = 20) and their children (N = 51, M_age  = 10.47) completed self-report questionnaires about perceptions of harm, child secondhand exposure, and provided urine to assess child nicotine exposure (cotinine). ANOVAs examined differences between caregiver use status on tobacco harm perceptions and child cotinine levels. Independent samples t-test compared differences in caregiver-reported child secondhand exposure in the home and car.

Results

All 3 caregiver groups rated cigarettes as highly harmful (P = .14), but e-cigarette users rated all 3 types of e-cigarette products (Cartridge-based: P < .001; Tank: P < .001; Box Mod: P < .001) as less harmful than cigarette users and non-users. Caregivers from the e-cigarette user group reported greater child secondhand exposure than caregivers using cigarettes (past 7-day in-home exposure (P = .03); past 7-day exposure in-home + in-car exposure (P = .02); in-home exposure by caregivers and other people exposure (P = .02)). Children from the cigarette user group had significantly higher levels of cotinine (M = 16.6, SD = 21.7) compared to children from the Non-User group (M = .43, SD = .95; P = .001), but no significant difference when compared to children from the E-Cigarette User group (M = 6.5, SD = 13.5).

Discussion

In this sample, caregivers who used e-cigarettes perceived them as less harmful, reported using them more frequently at home and in the car, even when their children were present, compared to cigarette users. As a result, children appear to be exposed to nicotine at levels similar to children living with cigarette users. Future caregiver prevention and intervention efforts should target education around the potential harms of secondhand e-cigarette aerosol to children.

Smokers Are More Likely to Smoke More after the COVID-19 California Lockdown Order

To determine if cigarette smoking, electronic cigarette use, and rate of consumption of these products differed before and after a pandemic lockdown order, two convenience samples of adults in Central California were recruited and surveyed before (March 2020) and after (May 2020) COVID-19 lockdown orders were implemented in California (n = 2571). Multivariable logistic and negative binomial regression models tested the association between adults recruited pre- or post-California lockdown and past month cigarette use, past month electronic cigarette use, past month cigarette consumption, and past month e-cigarette consumption among current users, controlling for demographic differences. Adults pre- and post-lockdown had equal odds of using cigarettes during the past month. Cigarette users who responded post-lockdown had higher cigarette consumption rates compared to cigarette users who responded pre-lockdown (IRR = 1.13, 95% CI = 1.15, 1.23). Adults who responded post-lockdown had lower odds of using electronic cigarettes during the past month compared to participants surveyed before the order (OR = 0.66, 95% CI: 0.55, 0.78). Cigarette users may be using more cigarettes during the state mandated lockdown. Possible causes for this increase in cigarette use may include increased stress, the change in workplace smokefree protections coverage, and increased opportunities for smoking or vaping.

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.

Cigarette excise taxes, clean indoor air laws, and use of smoking cessation treatments: A mediation analysis

The role of smoking cessation treatments in the link between clean indoor air laws and cigarette taxes with smoking cessation is not known. This study examined whether the use of smoking cessation treatments mediates the association between clean indoor air laws and cigarette excise taxes, on the one hand, and recent smoking cessation, on the other hand. Using data on 62,165 adult participants in the 2003 and 2010-2011 Current Population Survey-Tobacco Use Supplement who reported smoking cigarettes in the past year, we employed structural equation models to quantify the degree to which smoking cessation treatments (prescription medications, nicotine replacement therapy, counseling/support groups, quitlines, and internet-based resources) mediate the association between clean indoor air laws, cigarette excise taxes and recent smoking cessation. Recent smoking cessation was associated with clean indoor air laws in 2003 and with both clean indoor air laws and excise taxes in 2010-2011. Smoking cessation treatments explained between 29% to 39% of the effect of clean indoor air laws and taxes on recent smoking cessation. While clean indoor air laws remained significantly associated with the recent smoking cessation over the first decade of the 2000s, excise taxes gained a more prominent role in later years of that decade. The influence of these policies was partly mediated through the use of smoking cessation treatments, underscoring the importance of policies that make these treatments more widely available.

Secondhand Smoke Exposure and Subsequent Academic Performance Among U.S. Youth

INTRODUCTION

Previous research shows the associations between secondhand smoke exposure and health consequences among youth, but less is known about its effect on academic performance. This study examines a dose-response relationship between secondhand smoke exposure and subsequent academic performance among U.S. youth.

METHODS

Data were from a nationally representative sample of youth non-tobacco users (aged 12-16 years) in Wave 2 (2014-2015) who completed Wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study (n=9,020). Past-7-day number of hours exposed to secondhand smoke at Wave 2 and academic performance at Wave 3 (1=Mostly As to 9=Mostly Fs) were assessed. Weighted multivariable linear regression models were used to examine the association between hours of self-reported secondhand smoke exposure at Wave 2 and academic performance at Wave 3 (1=Mostly Fs, 9=Mostly As), adjusting for covariates including sociodemographics, prior academic performance, internalizing and externalizing problems, and substance use problems. Analyses were conducted in 2019.

RESULTS

More than 30% of U.S. youth non-tobacco users were exposed to secondhand smoke in the past 7 days. Compared with unexposed youth at Wave 2, those who were exposed for 1-9 hours had poorer academic performance at Wave 3 (adjusted regression coefficient= -0.11, 95% CI= -0.18, -0.04), and those who were exposed for ≥10 hours at Wave 2 had even poorer academic performance (adjusted regression coefficient = -0.31, 95% CI= -0.45, -0.18).

CONCLUSIONS

A dose-response relationship was observed between secondhand smoke exposure and academic performance among U.S. youth. Reducing youth secondhand smoke exposure may promote academic performance and subsequent educational attainment.

PhenX: Environment measures for Tobacco Regulatory Research

OBJECTIVE

A Working Group (WG) of tobacco regulatory science experts identified measures for the tobacco environment domain.

METHODS

This article describes the methods by which measures were identified, selected, approved and placed in the PhenX Toolkit.

FINDINGS

The WG identified 20 initial elements relevant to tobacco regulatory science and determined whether they were already in the PhenX Toolkit or whether novel or improved measures existed. In addition to the 10 complementary measures already in the Toolkit, the WG recommended 13 additional measures: aided and confirmed awareness of televised antitobacco advertising, interpersonal communication about tobacco advertising, media use, perceived effectiveness of antitobacco advertising, exposure to smoking on television and in the movies, social norms about tobacco (for adults and for youth), worksite policies, youth cigarette purchase behaviours and experiences, compliance with cigarette packaging and labelling policies, local and state tobacco control public policies, and neighbourhood-level racial/ethnic composition. Supplemental measures included youth social capital and compliance with smoke-free air laws and with point of sale and internet tobacco marketing restrictions. Gaps were identified in the areas of policy environment (public and private), communications environment, community environment and social environment (ie, the norms/acceptability of tobacco use).

CONCLUSIONS

Consistent use of these tobacco environment measures will enhance rigor and reproducability of tobacco research.

Second-Hand Smoke Exposure at Home in the United States; Minorities' Diminished Returns

Introduction

Educational attainment and poverty status are two strong socioeconomic status (SES) indicators that protect individuals against exposure to second-hand smoke. Minorities' Diminished Returns (MDRs), however, refer to smaller protective effects of SES indicators among ethnic minority groups such as Hispanics and Blacks, compared to non-Hispanic Whites. This study explored ethnic differences in the effects of educational attainment and poverty status on second-hand smoke exposure in the homes of American adults.

Methods

This cross-sectional study included 18,274 non-smoking adults who had participated in the Population Assessment of Tobacco and Health (PATH; 2013). The independent variables were educational attainment and poverty status. The dependent variable was second-hand smoke exposure at home. Age and region of residence were the covariates. Ethnicity was the moderator.

Results

Overall, individuals with a higher educational attainment (odds ratio [OR] = 0.76, 95% CI = 0.74-0.79) and those who lived out of poverty (OR = 0.56, 95% CI =0.51-0.62) had lower odds of second-hand smoke exposure at home. Hispanic ethnicity showed significant interactions with both SES indicators, suggesting that the protective effects of education and poverty on second-hand smoke exposure at home are smaller for Hispanics (ORs for interaction with education and poverty status = 1.30 and 1.26, P < 0.05) than for Non-Hispanics.

Conclusion

In the US, high SES Hispanics remain at high risk of exposure to second-hand smoke at home despite a high education and income. High SES better reduces environmental exposures for non-Hispanic than for Hispanic individuals.

Uneven Access to Smoke-Free Laws and Policies and Its Effect on Health Equity in the United States: 2000-2019

Tobacco control measures have played an important role in the reduction of the cigarette smoking prevalence among US adults.However, although overall smoking prevalence has declined, it remains high among many subpopulations that are disproportionately burdened by tobacco use, resulting in tobacco-related health disparities. Slow diffusion of smoke-free laws to rural regions, particularly in the South and Southeast, and uneven adoption of voluntary policies in single-family homes and multiunit housing are key policy variables associated with the disproportionate burden of tobacco-related health disparities in these subpopulations.Developing policies that expand the reach of comprehensive smoke-free laws not only will facilitate the decline in smoking prevalence among subpopulations disproportionately burdened by tobacco use but will also decrease exposure to secondhand smoke and further reduce tobacco-caused health disparities in the United States.

Smoke-Free Policies and Smoking Cessation in the United States, 2003-2015

(1) Background: Smoking restrictions have been shown to be associated with reduced smoking, but there are a number of gaps in the literature surrounding the relationship between smoke-free policies and cessation, including the extent to which this association may be modified by sociodemographic characteristics. (2) Methods: We analyzed data from the Tobacco Use Supplement to the Current Population Survey, 2003-2015, to explore whether multiple measures of smoking restrictions were associated with cessation across population subgroups. We examined area-based measures of exposure to smoke-free laws, as well as self-reported exposure to workplace smoke-free policies. We used age-stratified, fixed effects logistic regression models to assess the impact of each smoke-free measure on 90-day cessation. Effect modification by gender, education, family income, and race/ethnicity was examined using interaction terms. (3) Results: Coverage by workplace smoke-free laws and self-reported workplace smoke-free policies was associated with higher odds of cessation among respondents ages 40-54. Family income modified the association between smoke-free workplace laws and cessation for women ages 25-39 (the change in the probability of cessation associated with coverage was most pronounced among lower-income women). (4) Conclusions: Heterogeneous associations between policies and cessation suggest that smoke-free policies may have important implications for health equity.

Clean indoor air laws, cigarette excise taxes, and smoking: Results from the current population survey-tobacco use supplement, 2003-2011

There was an increase in the number and coverage of state and local clean indoor air laws in the US during the past fifteen years. These laws coincided with increases in federal, state, and local cigarette excise taxes. In light of these changes, the objective of this study was to examine the association between clean indoor air laws, cigarette excise taxes and smoking patterns between 2003 and 2011. Using data on 62,165 adult participants in the 2003 and 2010/2011 Current Population Survey-Tobacco Use Supplement who reported smoking cigarettes in the past year, we examined the association of state and county workplace, bar, and restaurant clean indoor air laws and cigarette excise taxes with quitting and current every-day smoking. Between 2003 and 2011, quitting increased and daily smoking among those who continued to smoke decreased significantly. Participants living in states and counties with higher excise taxes and more comprehensive clean indoor air laws had a higher likelihood of quitting and lower likelihood of everyday smoking. Based on the assumption of no uncontrolled confounding, changes in taxes and laws accounted for 64.8% of the increase in smoking cessation and all of the reduction in everyday smoking. Implementation of state and county-level clean indoor air laws and cigarette taxes appears to have achieved the intended goal of encouraging smokers to either quit or reduce their frequency of smoking.

Health-related regional and neighborhood correlates of sexual minority concentration: A systematic review

BACKGROUND

A growing literature explores spatial patterns of regional and neighborhood correlates of sexual minority (e.g., lesbian, gay, bisexual) concentration. Such patterns have implications for health and wellbeing if there are differences in health-promoting or health-hindering resources in neighborhoods or regions. We conducted a systematic review to assess sexual minority concentration in relation to area unit characteristics.

METHODS

We included only records published after 1973 and made no exclusions by geography or language. We searched 11 databases (Academic Search Complete, CINAHL, Embase, GeoBase, GeoRef, LGBT Life, PsycINFO, PubMed/MEDLINE, Scopus, Sociological Abstracts, Web of Science) on November 19-21, 2016. We searched reference lists of included records. We used the following inclusion criteria: (1) Record is a quantitative study (that is, it uses statistics to describe or associate two or more variables); (2) Record is about (a) migration or internal migration of, (b) area unit selection by, or (c) concentration of sexual minority people (defined by identity, behavior, or attraction); (3) Criterion 2 is linked to the characteristics of regions or neighborhoods (at any spatial scale).

RESULTS

Dual independent coding resulted in 51 records meeting inclusion criteria from the original pool of 5,591. From these records, we identified the 647 reported results linking sexual minority concentration with area unit characteristics. Of these, 132 were unadjusted relationships between sexual minority concentration and four theory-informed domains of neighborhood influence on health. We identified greater concentration of sexual minorities in regions with more resources and in more urban regions. A limited but troubling literature at the neighborhood level suggested potentially higher concentrations of sexual minorities in neighborhoods with fewer resources.

CONCLUSIONS

There are substantial gaps in the literature. We discuss the implications of our findings and gaps in relation to key theories of sexual minority health.

REGISTRATION

The review was not registered with PROSPERO because it was not eligible for registration at the time of the research project's initiation due to the outcome of interest.

Inequities in coverage of smokefree outdoor space policies within the United States: school grounds and playgrounds

Background

Previous studies have found extensive geographic and demographic differences in tobacco use. These differences have been found to be reduced by effective public policies, including banning smoking in public spaces. Smokefree outdoor spaces reduce secondhand smoke exposure and de-normalize smoking.

Methods

After previously publishing a study of smokefree indoor and outdoor space policies, it was brought to the authors’ attention that the dataset used in analyses was incomplete (Lowrie et al., BMC Public Health 17:456, 2017). The current manuscript is a corrected version. Here, we include analyses for outdoor space policies. We evaluated regional and demographic differences in the proportion of the population (both adult and child) covered by smokefree outdoor space policies for school grounds and playgrounds enacted in the United States prior to 2014.

Results

Children had a low level of protection in playgrounds and schools (8% covered nationwide in both settings). Significant differences in coverage were found by ethnicity, region, income, and education (p < 0.001). The odds of having a smokefree playgrounds policy was lower for jurisdictions with higher proportions of poor households, households with no high school diploma, whites and the Alaska/Hawaii region. Increased ethnic heterogeneity was found to be a significant predictor of increased odds of having a smokefree playgrounds policy, meaning that diversity is protective, with differential effect by region (p < 0.001) – which may relate to urbanicity.

Conclusions

Disparities in smokefree outdoor space policies have potential to exacerbate existing health inequities. A national increase in smokefree outdoor space policies to protect children in playgrounds and schools is a crucial intervention to reduce such inequities.

Relationships Between Smoking Behaviors and Cotinine Levels Among Two American Indian Populations With Distinct Smoking Patterns

Introduction

Smoking prevalence, cigarettes per day (CPD), and lung cancer incidence differ between Northern Plains (NP) and Southwest (SW) American Indian populations. We used cotinine as a biomarker of tobacco smoke exposure to biochemically characterize NP and SW smokers and nonsmokers and to investigate factors associated with variation in tobacco exposure.

Methods

American Indians (N = 636) were recruited from two different tribal populations (NP and SW) as part of a study conducted as part of the Collaborative to Improve Native Cancer Outcomes P50 project. For each participant, a questionnaire assessed smoking status, CPD, second-hand smoke exposure, and traditional ceremonial tobacco use; plasma and/or salivary cotinine was measured.

Results

Cotinine levels were (mean ± 95% confidence interval [CI]) 81.6 ± 14.1 and 21.3 ± 7.3 ng/ml among NP smokers and non-mokers, respectively, and 44.8 ± 14.4 and 9.8 ± 5.8 ng/ml among SW smokers and nonsmokers, respectively. Cotinine levels correlated with CPD in both populations (p < .0001). Cotinine ≥15 ng/ml was measured in 73.4% of NP smokers and 47.8% of SW smokers and in 19.0% of NP nonsmokers and 10.9% of SW nonsmokers. Ceremonial traditional tobacco use was associated with higher cotinine among NP smokers only (p = 0.004). Second-hand smoke exposure was associated with higher cotinine among NP non-smokers (P < 0.02). More secondhand smoke exposure was associated with smoking more CPD in both populations (p = 0.03-0.29). Linear regression modeling mirrored these findings.

Conclusions

High prevalence of smoking in the Northern Plains and high cotinine levels among nonsmokers in both regions highlights the tribal populations' risk for tobacco-related disease.

Implications

There is a high prevalence of smoking in Northern Plains American Indians. Among Northern Plains and Southwest nonsmokers, relatively high cotinine levels, representative of high tobacco exposure, suggest considerable exposure to second-hand smoke. It is critical to highlight the extent of second-hand smoke exposure among the Northern Plains and Southwest American Indians and to enhance efforts to initiate smoke-free policies in tribal communities, which are not subject to state-level polices.

Disparities in cigarette tax exposure by race, ethnicity, poverty status and sexual orientation, 2006-2014, USA

Cigarette excise taxes are an effective tobacco control strategy but they vary geographically due to differences in state and local taxation. There are also pronounced sociodemographic differences in community composition, suggesting that different population groups might face vastly different cigarette excise tax rates. In this study, we examine how cigarette excise tax rates differ for population groups defined by race, ethnicity, poverty status, and sexual orientation, and how these differences have evolved over time. We constructed annual cigarette tax rates in 109 mutually exclusive jurisdictions within the United States (U.S.) between 2006 and 2014. After merging with Census sociodemographic data, we calculated annual cigarette excise tax exposures for each population group as the average of each place-based tax, weighted by the proportion of the group living there. In 2014, the average U.S. resident was required to pay $2.68 in cigarette taxes, more than 60% of which was due to state and local taxation. On average, Asian/Native Hawaiian and Other Pacific Islander populations faced the highest average tax ($2.95), which was $0.44 more than American Indian populations. Local taxes disproportionately augmented state and federal taxes for non-White populations, same-sex couples, and people living in poverty. Geographic variation in cigarette excise taxes produces sociodemographic variation in cigarette tax exposure. Raising cigarette taxes specifically in those places where groups at risk for tobacco-related disease are more likely to live, or otherwise creating geographically uniform tax levels, could reduce important disparities in cigarette smoking.

Key Factors Inhibiting Legislative Progress Toward Smoke-Free Coverage in Appalachia

The Appalachian Region has among the highest rates of smoking and smoking-related illness in the United States. Strong smoke-free legislation could help protect nonsmoking residents from the harmful effects of secondhand smoke. However, there is a dearth of state, county, city, and subcounty smoke-free law coverage throughout Appalachia. As of July 2016, only 21% of Appalachian residents were covered by comprehensive smoke-free laws (i.e., 100% coverage for workplaces, restaurants, and bars). Only 46% of Appalachians lived in places with 100% smoke-free workplace laws, only 30% lived in places with 100% smoke-free restaurant laws, and only 29% lived in places with 100% smoke-free bar laws. Reasons for this lack of smoke-free law coverage include socioeconomic disadvantage, the historical importance of tobacco in Appalachian economies, and preemptive state legislation. By understanding the contextual issues that have inhibited smoke-free legislation, smoke-free advocates will be better prepared to lead efforts that expand smoke-free coverage in this region.

Income Inequality and US Children's Secondhand Smoke Exposure: Distinct Associations by Race-Ethnicity

Introduction

Prior studies have found considerable racial and ethnic disparities in secondhand smoke (SHS) exposure. Although a number of individual-level determinants of this disparity have been identified, contextual determinants of racial and ethnic disparities in SHS exposure remain unexamined. The objective of this study was to examine disparities in serum cotinine in relation to area-level income inequality among 14 649 children from the National Health and Nutrition Examination Survey.

Methods

We fit log-normal regression models to examine disparities in serum cotinine in relation to Metropolitan Statistical Areas level income inequality among 14 649 nonsmoking children aged 3-15 from the National Health and Nutrition Examination Survey (1999-2012).

Result

Non-Hispanic black children had significantly lower serum cotinine than non-Hispanic white children (-0.26; 95% CI: -0.38, -0.15) in low income inequality areas, but this difference was attenuated in areas with high income inequality (0.01; 95% CI: -0.16, 0.18). Serum cotinine declined for non-Hispanic white and Mexican American children with increasing income inequality. Serum cotinine did not change as a function of the level of income inequality among non-Hispanic black children.

Conclusions

We have found evidence of differential associations between SHS exposure and income inequality by race and ethnicity. Further examination of environments which engender SHS exposure among children across various racial/ethnic subgroups can foster a better understanding of how area-level income inequality relates to health outcomes such as levels of SHS exposure and how those associations differ by race/ethnicity.

Implications

In the United States, the association between children's risk of SHS exposure and income inequality is modified by race/ethnicity in a manner that is inconsistent with theories of income inequality. In overall analysis this association appears to be as predicted by theory. However, race-specific analyses reveal that higher levels of income inequality are associated with lower levels of SHS exposure among white children, while levels of SHS exposure among non-Hispanic black children are largely invariant to area-level income inequality. Future examination of the link between income inequality and smoking-related health outcomes should consider differential associations across racial and ethnic subpopulations.

Responsiveness to cigarette prices by different racial/ethnic groups of US adults

Objective

To evaluate the impact of cigarette prices on adult smoking for four US racial/ethnic groups: whites, African–Americans, Asians and Hispanics.

Methods

We analysed pooled cross-sectional data from the 2006/2007 and 2010/2011 Tobacco Use Supplement to the Current Population Survey (n=339 921 adults aged 18+) and cigarette price data from the Tax Burden on Tobacco. Using a two-part econometric model of cigarette demand that controlled for sociodemographic characteristics, state-level antismoking sentiment, local-level smoke-free air laws and monthly indicator, we estimated for each racial/ethnic group the price elasticities of smoking participation, smoking intensity and total demand for cigarettes.

Results

Smoking prevalence for whites, African–Americans, Asians and Hispanics during the study period was 18.3%, 16.1%, 8.2% and 11.3%, respectively. The price elasticity of smoking participation was statistically significant for whites, African–Americans, Asians and Hispanics at −0.26, –0.10, −0.42 and −0.11, respectively. The price elasticity of smoking intensity was statistically significant among whites (−0.22) and African–Americans (−0.17). Overall, the total price elasticity of cigarette demand was statistically significant for all racial/ethnic groups: 0.48 for whites, −0.27 for African–Americans, −0.22 for Asians and −0.15 for Hispanics.

Conclusions

Our results suggest that raising cigarette prices, such as via tobacco tax increases, would result in reduced cigarette consumption for all racial/ethnic groups. The magnitude of the effect and the impact on cessation and reduced smoking intensity differ across these groups.

Inequities in coverage of smokefree space policies within the United States

BACKGROUND

Previous studies have found extensive geographic and demographic differences in tobacco use. These differences have been found to be reduced by effective public policies, including banning smoking in public spaces. Smokefree indoor and outdoor spaces reduce secondhand smoke exposure and denormalize smoking.

METHODS

We evaluated regional and demographic differences in the proportion of the population covered by smokefree policies enacted in the United States prior to 2014, for both adults and children.

RESULTS

Significant differences in coverage were found by ethnicity, region, income, and education (p < 0.001). Smokefree policy coverage was lower for jurisdictions with higher proportions of poor households, households with no high school diploma and the Southeast region. Increased ethnic heterogeneity was found to be a significant predictor of coverage in indoor "public spaces generally", meaning that diversity is protective, with differential effect by region (p = 0.004) - which may relate to urbanicity. Children had a low level of protection in playgrounds and schools (~10% covered nationwide) - these spaces were found to be covered at lower rates than indoor spaces.

CONCLUSIONS

Disparities in smokefree space policies have potential to exacerbate existing health inequities. A national increase in smokefree policies to protect children in playgrounds and schools is a crucial intervention to reduce such inequities.

County Smoke-Free Laws and Asthma Discharges: Evidence from 17 US States

Background

Although approximately 82 percent of the US population was covered by some form of law that restricted smoking in public establishments as of 2014, most research examining the relationship between smoke-free laws and health has been focused at the state level.

Purpose

To examine the effect of county workplace smoke-free laws over and above the effect of other (restaurant or bar) smoke-free laws on adult asthma.

Methods

The study estimated the effect of rates of adult asthma discharges before and after the implementation of county nonhospitality workplace smoke-free laws and county restaurant and bar smoke-free laws. Data were from 2002 to 2009, and all analyses were performed in 2011 through 2013.

Results

A statistically significant relationship (−5.43, p < .05) was found between county restaurant or bar smoke-free laws and reductions in working age adult asthma discharges. There was no statistically significant effect of nonhospitality workplace smoke-free laws over and above the effect of county restaurant or bar laws.

Conclusions

This study suggests that further gains in preventable asthma-related hospitalizations in the US are more likely to be made by focusing on smoke-free laws in bars or restaurants rather than in nonhospitality workplaces.

Smoke-Free Laws and Hazardous Drinking: A Cross-Sectional Study among U.S. Adults

Tobacco and alcohol use are strongly associated. This cross-sectional study examined the relationship of smoke-free law coverage and smoke-free bar law coverage with hazardous drinking behaviors among a representative sample of U.S. adult drinkers (n = 17,057). We merged 2009 National Health Interview Survey data, American Nonsmokers’ Rights Foundation U.S. Tobacco Control Laws Database, and Census Population Estimates. Hazardous drinking outcomes included heavy drinking (>14 drinks/week for men; >7 drinks/week for women) and binge drinking (≥5 drinks on one or more days during past year). Chi-square tests compared hazardous drinking by sociodemographic factors. Multivariable logistic regression models were used to examine if smoke-free law and bar law coverages were associated with hazardous drinking, controlling for sociodemographics and smoking status. Subset analyses were conducted among drinkers who also smoked (n = 4074) to assess the association between law coverages and hazardous drinking. Among all drinkers, smoke-free law coverage was not associated with heavy drinking (adjusted odds ratio (AOR) = 1.22, 95% confidence interval (CI) = 0.99–1.50) or binge drinking (AOR = 1.09, 95% CI = 0.93–1.26). Smoke-free bar law coverage was also found to be unrelated to hazardous drinking. Similar results were found among those drinkers who smoked. Findings suggest that smoke-free laws and bar laws are not associated with elevated risk for alcohol-related health issues.

The Effects of Workplace Clean Indoor Air Law Coverage on Workers' Smoking-Related Outcomes

This study investigated the effects of workplace clean indoor air law (CIAL) coverage on worksite compliance with CIALs, smoking participation among indoor workers, and secondhand smoke (SHS) exposure among nonsmoker indoor workers. This study improved on previous research by using the probability of a resident in a county covered by workplace CIALs, taking into account the state, county, and city legislation. The county-level probability of being covered by a CIAL is merged into two large nationally representative US surveys on smoking behaviors: Tobacco Use Supplement of the Current Population Survey (2001-2010) and Behavioral Risk Factor Surveillance System (2000-2006) based on the year of the survey and respondent's geographic location to identify respondents' CIAL coverage. This study estimated several model specifications of including and not including state or county fixed effects, and the effects of workplace CIALs are consistent across models. Increased coverage by workplace CIALs significantly increased likelihood of reporting a complete smoking restriction by 8% and 10% for the two different datasets, decreased smoking participation among indoor workers by 12%, and decreased SHS exposure among nonsmokers by 28%. Copyright © 2015 John Wiley & Sons, Ltd.

Environmental tobacco smoke exposure and periodontitis prevalence among nonsmokers in the hispanic community Health Study/Study of Latinos

OBJECTIVE

To describe self-reported exposure to environmental tobacco smoke (ETS) and its association with periodontitis prevalence in a diverse group of Hispanics/Latinos.

METHODS

Data came from 8675 lifetime nonsmokers in the 2008-2011 Hispanic Community Health Study/Study of Latinos. Exposure to ETS was self-reported, while periodontitis was defined using the Centers for Disease Control and Prevention-American Academy of Periodontology criteria and the proportion of sites affected by clinical attachment level of ≥3 mm or pocket depth of ≥4 mm. Survey logistic regression estimated prevalence odds ratios (POR) and 95% confidence intervals (CI). In addition, we assessed whether greater hours of exposure to ETS in the past year was associated with greater periodontitis prevalence, and lastly, we conducted a simple sensitivity analysis of ETS misclassification.

RESULTS

Age-standardized prevalence estimates (95% CI) for ETS exposure and periodontitis were 57.6% (55.9, 59.4) and 39.8% (38.1, 41.4), respectively. After adjusting for confounders and periodontitis risk factors, we estimated an overall adjusted POR (95% CI) for the ETS-periodontitis association as 1.09 (0.95-1.26) with a confidence limit ratio (CLR) of 1.34. This association varied in magnitude by Hispanic/Latino background, ranging from 1.04 (0.75, 1.43 with a CLR = 1.91) among Central Americans to 1.76 (1.16, 2.66 with a CLR = 2.29) in Puerto Ricans.

CONCLUSIONS

Previously reported associations between ETS and periodontitis appear weak in this study. However, the magnitude of the association differs according to Hispanic/Latino background.

Sociodemographic Differences Among U.S. Children and Adults Exposed to Secondhand Smoke at Home: National Health Interview Surveys 2000 and 2010

OBJECTIVE

We examined the levels and change in prevalence of self-reported secondhand smoke (SHS) exposure at home, and analyzed sociodemographic differences in exposure among children (aged 0-17 years) and nonsmoking adults (aged ≥18 years) in the United States in 2000 and 2010.

METHODS

We included 18,731 children and 44,049 adults from the 2000 and 2010 National Health Interview Survey Cancer Control Supplements. We used multivariate logistic regression to determine the factors associated with exposure.

RESULTS

The prevalence of self-reported SHS exposure declined from 2,627 of 10,636 (24.7%) to 663 of 8,095 (8.2%) for children and from 2,863 of 23,665 (12.1%) to 897 of 20,384 (4.4%) for adults from 2000 to 2010. SHS exposure declined for all population subgroups between the two years, but differences were found. Compared with 2000, children aged 12-17 years in 2010 were no longer more likely than children aged 0-5 years to be exposed to SHS. Non-Hispanic black children and adults were more likely than non-Hispanic white children and adults to be exposed to SHS in 2010. In 2010, no differences were found for children whose parents had a higher level of education, and no differences were observed for children or adults with high family income vs. other levels of family income. Children living in the Midwest and South had higher levels of SHS exposure than children in other regions in 2010.

CONCLUSIONS

Self-reported SHS exposure at home declined for all population subgroups from 2000 to 2010, but socioeconomic differences existed for some subgroups in both years. Current tobacco control policies need to be improved to reach all population subgroups so that SHS exposure can be further reduced, especially among vulnerable populations.

Independent and Interactive Effects of Smoking Bans and Tobacco Taxes on a Cohort of US Young Adults

OBJECTIVES

We examined the mutual effects of smoking bans and taxes on smoking among a longitudinal cohort of young adults.

METHODS

We combined a repository of US tobacco policies at the state and local level with the nationally representative geocoded National Longitudinal Survey of Youth 1997 (2004-2011) from ages 19 to 31 years and Census data, to examine the impact of tobacco policies on any current and daily pack smoking. The analytic sample amounts to 19,668 observations among 4341 individuals within 487 cities.

RESULTS

For current smoking, we found significant effects for comprehensive smoking bans, but not excise taxes. We also found an interaction effect, with bans being most effective in locales with no or low taxes. For daily pack smoking, we found significant effects for taxes, but limited support for bans.

CONCLUSIONS

Social smoking among young adults is primarily inhibited by smoking bans, but excise taxes only deter such smoking in the absence of a ban. Heavy smokers are primarily deterred by taxes. Although both policies have an impact on young adult smoking behaviors, their dual presence does not intensify each policy's efficacy.

Association of Smoke-Free Laws With Lower Percentages of New and Current Smokers Among Adolescents and Young Adults: An 11-Year Longitudinal Study

IMPORTANCE

Smoke-free laws are associated with a lower prevalence of smoking.

OBJECTIVE

To quantify the effect of 100% smoke-free laws on the smoking behavior of adolescents and young adults in a longitudinal analysis.

DESIGN, SETTING, AND PARTICIPANTS

Pooled logistic regression and zero-inflated negative binomial regression analysis of participants in the National Longitudinal Survey of Youth 1997 (data from 1997 to 2007), with complete data on initiation of smoking (n = 4098) and number of days respondents reported smoking in the past 30 days (n = 3913).

EXPOSURES

Laws for 100% smoke-free workplaces, laws for 100% smoke-free bars, and state cigarette taxes.

MAIN OUTCOMES AND MEASURES

Smoking initiation (first report of smoking cigarette), current (for 30 days) smoking, and number of days respondents reported smoking in the past 30 days among current smokers.

RESULTS

Laws for 100% smoke-free workplaces, but not bars, were associated with significantly lower odds of initiating smoking (odds ratio, 0.66 [95% CI, 0.44-0.99]). Laws for 100% smoke-free bars were associated with lower odds of being a current smoker (odds ratio, 0.80 [95% CI, 0.71-0.90]) and fewer days of smoking (incidence rate ratio, 0.85 [95% CI, 0.80-0.90]) among current smokers. Taxes were associated with a lower percentage of new smokers but not current smokers among adolescents and young adults. The effect of smoke-free workplace laws on smoking initiation is equivalent to a $1.57 (in 2007 dollars) tax increase. Smoke-free bar laws are associated with lower rates of current smoking, as well as a decrease in the number of days reported smoking among current smokers.

CONCLUSIONS AND RELEVANCE

Smoke-free laws are an important tobacco control tool. They not only protect bystanders from secondhand smoke but also contribute to less smoking among adolescents and young adults.

Sociodemographic Disparities in Local Smoke-Free Law Coverage in 10 States

OBJECTIVES

We assessed sociodemographic disparities in local 100% smoke-free laws prohibiting smoking in all indoor areas of nonhospitality worksites, restaurants, and bars in 10 states.

METHODS

We obtained data on local 100% smoke-free laws (US Tobacco Control Laws Database) and subcounty characteristics (2006-2010 American Community Survey) for Alabama, Alaska, Indiana, Kentucky, Mississippi, Missouri, North Dakota, South Carolina, Texas, and West Virginia. Outcomes included (1) 100% smoke-free law covering restaurants, bars, and workplaces; (2) 100% smoke-free law covering restaurants, bars, or workplaces; and (3) number of venue types covered by 100% smoke-free laws (0-3). Sociodemographics included total population, urban status, percentage racial/ethnic minority, per capita income, percentage with high-school diploma, percentage with blue-collar jobs, and percentage of workers who live and work in the same locality.

RESULTS

Across states, localities with less-educated residents, smaller proportions of workers living and working in the same locality, or both generally had lower odds of being covered by 100% smoke-free laws. Coverage varied across states for other sociodemographics.

CONCLUSIONS

Disparities exist in local smoke-free law coverage. Identifying patterns in coverage can inform state efforts to address related disparities.

Exposure to secondhand smoke and attitudes toward smoke-free workplaces among employed U.S. adults: findings from the National Adult Tobacco Survey

INTRODUCTION

This study assessed the prevalence and correlates of secondhand smoke (SHS) exposure and attitudes toward smoke-free workplaces among employed U.S. adults.

METHODS

Data came from the 2009-2010 National Adult Tobacco Survey, a landline and cellular telephone survey of adults aged ≥18 years in the United States and the District of Columbia. National and state estimates of past 7-day workplace SHS exposure and attitudes toward indoor and outdoor smoke-free workplaces were assessed among employed adults. National estimates were calculated by sex, age, race/ethnicity, education, annual household income, sexual orientation, U.S. region, and smoking status.

RESULTS

Among employed adults who did not smoke cigarettes, 20.4% reported past 7-day SHS exposure at their workplace (state range: 12.4% [Maine] to 30.8% [Nevada]). Nationally, prevalence of exposure was higher among males, those aged 18-44 years, non-Hispanic Blacks, Hispanics, and non-Hispanic American Indians/Alaska natives compared to non-Hispanic Whites, those with less education and income, those in the western United States, and those with no smoke-free workplace policy. Among all employed adults, 83.8% and 23.2% believed smoking should never be allowed in indoor and outdoor areas of workplaces, respectively.

CONCLUSIONS

One-fifth of employed U.S. adult nonsmokers are exposed to SHS in the workplace, and disparities in exposure exist across states and subpopulations. Most employed adults believe indoor areas of workplaces should be smoke free, and nearly one-quarter believe outdoor areas should be smoke free. Efforts to protect employees from SHS exposure and to educate the public about the dangers of SHS and benefits of smoke-free workplaces could be beneficial.

Smoking among U.S. Hispanic/Latino adults: the Hispanic community health study/study of Latinos

BACKGROUND

Prior national surveys capture smoking behaviors of the aggregated U.S. Hispanic/Latino population, possibly obscuring subgroup variation.

PURPOSE

To describe cigarette use among Hispanic/Latino adults across subgroups of age, gender, national background, SES, birthplace, and degree of acculturation to the dominant U.S. culture.

METHODS

A cross-sectional survey of 16,322 participants in the Hispanic Community Health Study/Study of Latinos aged 18-74 years, recruited in Bronx NY, Chicago IL, Miami FL, and San Diego CA, was conducted during 2008-2011.

RESULTS

Prevalence of current smoking was highest among Puerto Ricans (men, 35.0%; women, 32.6%) and Cubans (men, 31.3%; women, 21.9%), with particularly high smoking intensity noted among Cubans as measured by pack-years and cigarettes/day. Dominicans had the lowest smoking prevalence (men, 11.0%; women, 11.7%). Individuals of other national backgrounds had a smoking prevalence that was intermediate between these groups, and typically higher among men than women. Non-daily smoking was common, particularly although not exclusively among young men of Mexican background. Persons of low SES were more likely to smoke, less likely to have quit smoking, and less frequently used over-the-counter quit aids compared to those with higher income and education levels. Smoking was more common among individuals who were born in the U.S. and had a higher level of acculturation to the dominant U.S. culture, particularly among women.

CONCLUSIONS

Smoking behaviors vary widely across Hispanic/Latino groups in the U.S., with a high prevalence of smoking among population subgroups with specific, readily identifiable characteristics.

Association of strong smoke-free laws with dentists' advice to quit smoking, 2006-2007

OBJECTIVES

We examined the association of smoke-free laws with dentists' advice to quit smoking and referral to a quit line, among smokers who reported visiting the dentist in the past 12 months.

METHODS

We used the 2006 to 2007 Tobacco Use Supplement of the Current Population Survey merged with the American Nonsmokers' Rights Foundation Local Ordinance Database of smoke-free laws. The dependent variables were advice from a dentist to quit smoking and referral to a quit line, and the independent variable of interest was 100% smoke-free law coverage. We controlled for respondent demographics and an index of state-level smoking ban attitudes (included to ensure that the effect detected was not the result of social attitudes).

RESULTS

Smoke-free law coverage was associated with dental advice to quit smoking (odds ratio [OR] = 1.27; 95% confidence interval [CI] = 1.01, 1.59; P = .041), but not with referral to a quit line (OR = 1.33; 95% CI = 0.79, 2.25; P = .283).

CONCLUSIONS

Interventions with dentists are needed to increase referrals to quit lines and other smoking cessation efforts.

Association between clean indoor air laws and voluntary smokefree rules in homes and cars

OBJECTIVES

This study examines the influence that smokefree workplaces, restaurants and bars have on the adoption of smokefree rules in homes and cars, and whether there is an association with adopting smokefree rules in homes and cars.

METHODS

Bivariate probit models were used to jointly estimate the likelihood of living in a smokefree home and having a smokefree car as a function of law coverage and other variables. Household data were obtained from the nationally representative Social Climate Survey of Tobacco Control 2001, 2002 and 2004-2009; clean indoor air law data were from the American Nonsmokers' Rights Foundation Tobacco Control Laws Database.

RESULTS

'Full coverage' and 'partial coverage' smokefree legislation is associated with an increased likelihood of having voluntary home and car smokefree rules compared with 'no coverage'. The association between 'full coverage' and smokefree rule in homes and cars is 5% and 4%, respectively, and the association between 'partial coverage' and smokefree rules in homes and cars is 3% and 4%, respectively. There is a positive association between the adoption of smokefree rules in homes and cars.

CONCLUSIONS

Clean indoor air laws provide the additional benefit of encouraging voluntary adoption of smokefree rules in homes and cars.

The pattern of indoor smoking restriction law transitions, 1970-2009: laws are sticky

OBJECTIVES

We examined the pattern of the passage of smoking laws across venues (government and private workplaces, restaurants, bars) and by strength (no law to 100% smoke-free).

METHODS

We conducted transition analyses of local and state smoking restrictions passed between 1970 and 2009, with data from the Americans for Nonsmokers' Rights Ordinance Database.

RESULTS

Each decade, more laws were enacted, from 18 passed in the 1970s to 3172 in the first decade of this century, when 91% of existing state laws were passed. Most laws passed took states and localities from no law to some level of smoking restriction, and most new local (77%; 5148/6648) and state (73%; 115/158) laws passed in the study period did not change strength.

CONCLUSIONS

Because these laws are "sticky"-once a law has passed, strength of the law and venues covered do not change often-policymakers and advocates should focus on passing strong laws the first time, rather than settling for less comprehensive laws with the hope of improving them in the future.