INTRODUCTION: Although current cigarette smoking among US adults decreased from 42.4% in 1965 to 12.5% in 2020, prevalence is higher among certain racial and ethnic groups, including non-Hispanic American Indian and Alaska Native (AIAN) adults. METHODS: We examined trends in current cigarette smoking prevalence, population estimates, and relative disparity among US adults (aged ≥18 y) between 2011 and 2020 by using data from the National Health Interview Survey. SAS-callable SUDAAN was used to obtain prevalence and population estimates, and relative disparity was calculated on the basis of findings in the literature. Trends were significant at P < .05. RESULTS: From 2011 to 2020, linear decreases in prevalence and population estimates were observed for non-Hispanic White (20.6% to 13.3%; 32.1 million to 20.7 million), non-Hispanic Black (19.4% to 14.4%; 5.1 million to 4.0 million), and Hispanic (12.9% to 8.0%; 4.2 million to 3.3 million) adults. For non-Hispanic AIAN adults, prevalence remained around 27%, and a linear increase in the population estimate was observed from 400,000 to 510,000. Relative disparity did not change across racial and ethnic categories. CONCLUSION: Linear decreases have occurred between 2011 and 2020 for non-Hispanic White, non-Hispanic Black, and Hispanic adults who smoke, but the number of non-Hispanic AIAN adults who currently smoke has increased by 110,000, and relative disparities persist. To reduce racial and ethnic disparities in smoking, understanding how factors at multiple socioecologic levels impact smoking and helping to inform paths to equitable reach and implementation of tobacco control interventions for all population groups are needed.

INTRODUCTION: Information on morbidity-related productivity losses attributable to cigarette smoking, an important component of the economic burden of cigarette smoking, is limited. This study fills this gap by estimating these costs in the U.S. and by state. METHODS: A human capital approach was used to estimate the cost of the morbidity-related productivity losses (absenteeism, presenteeism, household productivity, and inability to work) attributable to cigarette smoking among adults aged 18 years in the U.S. and by state. A combination of data, including the 2014-2018 National Health Interview Survey, 2018 Current Population Survey Annual Social and Economic Supplement, 2018 Behavioral Risk Factor Surveillance System, 2018 value of daily housework, and literature-based estimate of lost productivity while at work (presenteeism), was used. Costs were estimated for 2018, and all analyses were conducted in 2021. RESULTS: Estimated total cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. in 2018 was $184.9 billion. Absenteeism, presenteeism, home productivity, and the inability to work accounted for $9.4 billion, $46.8 billion, $12.8 billion, and $116.0 billion, respectively. State-level total costs ranged from $291 million to $16.9 billion with a median cost of $2.7 billion. CONCLUSIONS: The cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. and in each state was substantial in 2018 and varied across the states. These estimates can guide public health policymakers and practitioners planning and evaluating interventions designed to alleviate the burden of cigarette smoking at the state and national levels.

BACKGROUND: Cigarette smoking is the leading cause of preventable disease and death in the United States. The tobacco product landscape has diversified to include electronic cigarettes (e-cigarettes). Adults with disabilities are more likely than adults without disabilities to smoke cigarettes, but within the current body of literature, there is limited information on the use of e-cigarettes among adults with disabilities. OBJECTIVE: To assess overall and state-specific prevalence of current e-cigarette use among adults by disability status, disability type, sex, and age. METHODS: Disability was defined as having serious difficulty with vision, hearing, mobility, cognition, or any difficulty with self-care or independent living. The Behavioral Risk Factor Surveillance System cross-sectional survey data (2016-2018; n = 1,150,775) were used to estimate state and District of Columbia prevalence of current e-cigarette use among adults (aged ≥18 years) with and without disabilities, overall and by disability type, sex, and age group. RESULTS: Median prevalence of current e-cigarette use was higher among adults with than without disabilities (6.5% vs. 4.3%, P < 0.05). Among adults with disabilities, use varied from 2.5% in DC to 10.0% in Colorado; median use was highest among those with cognitive disabilities (10.0%) and those aged 18-24 years (18.7%). CONCLUSIONS: Prevalence of current e-cigarette use was higher among adults with than without disabilities and varied across states by disability status, type, and age group. The findings underscore the need to monitor e-cigarette use among adults with disabilities and specifically include them in tobacco control policies and programs addressing e-cigarette use.

INTRODUCTION: Cigarette smoking continues to be the leading cause of preventable disease and death in the U.S. Smoking also carries an economic burden, including smoking-attributable healthcare spending. This study assessed smoking-attributable fractions in healthcare spending between 2010 and 2014, overall and by insurance type (Medicaid, Medicare, private, out-of-pocket, other federal, other) and by medical service (inpatient, non-inpatient, prescriptions). METHODS: Data were obtained from the 2010-2014 Medical Expenditure Panel Survey linked to the 2008-2013 National Health Interview Survey. The final sample (n = 49,540) was restricted to non-pregnant adults aged 18 years or older. Estimates from two-part models (multivariable logistic regression and generalized linear models) and data from 2014 national health expenditures were combined to estimate the share of and total (in 2014 dollars) annual healthcare spending attributable to cigarette smoking among U.S. adults. All models controlled for socio-demographic characteristics, health-related behaviors, and attitudes. RESULTS: During 2010-2014, an estimated 11.7% (95% CI = 11.6%, 11.8%) of U.S. annual healthcare spending could be attributed to adult cigarette smoking, translating to annual healthcare spending of more than $225 billion dollars based on total personal healthcare expenditures reported in 2014. More than 50% of this smoking-attributable spending was funded by Medicare or Medicaid. For Medicaid, the estimated healthcare spending attributable fraction increased more than 30% between 2010 and 2014. CONCLUSIONS: Cigarette smoking exacts a substantial economic burden in the U.S. Continuing efforts to implement proven population-based interventions have been shown to reduce the health and economic burden of cigarette smoking nationally.

OBJECTIVE: Studies examining the use of smoking cessation treatment and related spending among enrollees with employer-sponsored health insurance are dated and limited in scope. We assessed changes in annual receipt of and spending on cessation medications approved by the US Food and Drug Administration (FDA) among tobacco users with employer-sponsored health insurance from 2010 to 2017. METHODS: We analyzed data on 439 865 adult tobacco users in 2010 and 344 567 adult tobacco users in 2017 from the IBM MarketScan Commercial Database. We used a negative binomial regression to estimate changes in receipt of cessation medication (number of fills and refills and days of supply). We used a generalized linear model to estimate spending (total, employers', and out of pocket). In both models, covariates included year, age, sex, residence, and type of health insurance plan. RESULTS: From 2010 to 2017, the percentage of adult tobacco users with employer-sponsored health insurance who received any cessation medication increased by 2.4%, from 15.7% to 16.1% (P < .001). Annual average number of fills and refills per user increased by 15.1%, from 2.5 to 2.9 (P < .001) and days of supply increased by 26.4%, from 81.9 to 103.5 (P < .001). The total annual average spending per user increased by 53.6%, from $286.40 to $440.00 (P < .001). Annual average out-of-pocket spending per user decreased by 70.9%, from $70.80 to $20.60 (P < .001). CONCLUSIONS: Use of smoking cessation medications is low among smokers covered by employer-sponsored health insurance. Opportunities exist to further increase the use of cessation medications by promoting the use of evidence-based cessation treatments and reducing barriers to coverage, including out-of-pocket costs.

INTRODUCTION: Cigarette smoking prevalence is higher among adults enrolled in Medicaid than adults with private health insurance. State Medicaid coverage of cessation treatments has been gradually improving in recent years; however, the extent to which this has translated into increased use of these treatments by Medicaid enrollees remains unknown. AIMS AND METHODS: Using Medicaid Analytic eXtract (MAX) files, we estimated state-level receipt of smoking cessation treatments and associated spending among Medicaid fee-for service (FFS) enrollees who try to quit. MAX data are the only national person-level data set available for the Medicaid program. We used the most recent MAX data available for each state and the District of Columbia (ranging from 2010 to 2014) for this analysis. RESULTS: Among the 37 states with data, an average of 9.4% of FFS Medicaid smokers with a past-year quit attempt had claims for cessation medications, ranging from 0.2% (Arkansas) to 32.9% (Minnesota). Among the 20 states with data, an average of 2.7% of FFS Medicaid smokers with a past-year quit attempt received cessation counseling, ranging from 0.1% (Florida) to 5.6% (Missouri). Estimated Medicaid spending for cessation medications and counseling for these states totaled just over $13 million. If all Medicaid smokers who tried to quit were to have claims for cessation medications, projected annual Medicaid expenditures would total $0.8 billion, a small fraction of the amount ($45.9 billion) that Medicaid spends annually on treating smoking-related disease. CONCLUSIONS: The receipt of cessation medications and counseling among FFS Medicaid enrollees was low and varied widely across states. IMPLICATIONS: Few studies have examined use of cessation treatments among Medicaid enrollees. We found that many FFS Medicaid smokers made quit attempts, but few had claims for proven cessation treatments, especially counseling. The receipt of cessation treatments among FFS Medicaid enrollees varied widely across states, suggesting opportunities for additional promotion of the full range of Medicaid cessation benefits. Continued monitoring of Medicaid enrollees' use of cessation treatments could inform state and national efforts to help more Medicaid enrollees quit smoking.

Limited existing evidence suggests that adults with intellectual and developmental disabilities (IDD) experience substantial disparities in numerous areas of health care, including quality ambulatory care. A multistate cohort of adults with IDD was analyzed for patterns of inpatient admissions and emergency department utilization. Utilization was higher (inpatient [RR = 3.2], emergency department visits [RR = 2.6]) for adults with IDD, particularly for ambulatory care-sensitive conditions (eg, urinary tract [RR = 6.6] and respiratory infections [RRs = 5.5-24.7]), and psychiatric conditions (RRs = 5.8-15). Findings underscore the importance of access to ambulatory care skilled in IDD-related needs to recognize and treat ambulatory care-sensitive conditions and to manage chronic medical and mental health conditions.

INTRODUCTION: Since 2012, the Centers for Disease Control and Prevention has conducted the national Tips From Former Smokers public education campaign, which motivates smokers to quit by featuring people living with the real-life health consequences of smoking. Cost effectiveness, from the healthcare sector perspective, of the Tips From Former Smokers campaign was compared over 2012-2018 with that of no campaign. METHODS: A combination of survey data from a nationally representative sample of U.S. adults that includes cigarette smokers and literature-based lifetime relapse rates were used to calculate the cumulative number of Tips From Former Smokers campaign‒associated lifetime quits during 2012-2018. Then, lifetime health benefits (premature deaths averted, life years saved, and quality-adjusted life years gained) and healthcare sector cost savings associated with these quits were assessed. All the costs were adjusted for inflation in 2018 U.S. dollars. The Tips From Former Smokers campaign was conducted and the survey data were collected during 2012-2018. Analyses were conducted in 2019. RESULTS: During 2012-2018, the Tips From Former Smokers campaign was associated with an estimated 129,100 premature deaths avoided, 803,800 life years gained, 1.38 million quality-adjusted life years gained, and $7.3 billion in healthcare sector cost savings on the basis of an estimated 642,200 campaign-associated lifetime quits. The Tips From Former Smokers campaign was associated with cost savings per lifetime quit of $11,400, per life year gained of $9,100, per premature deaths avoided of $56,800, and per quality-adjusted life year gained of $5,300. CONCLUSIONS: Mass-reach health education campaigns, such as Tips From Former Smokers, can help smokers quit, improve health outcomes, and potentially reduce healthcare sector costs.

OBJECTIVE: To use medical claims data to determine patterns of healthcare utilization in children with intellectual and developmental disabilities, including frequency of service utilization, conditions that require hospital care, and costs. STUDY EESIGN: Medicaid administrative claims from four states (Iowa, Massachusetts, New York, and South Carolina) from years 2008-2013 were analyzed, including 108,789 children (75,417 male; 33,372 female) under 18 years with intellectual and developmental disabilities. Diagnoses included cerebral palsy, autism, fetal alcohol syndrome, Down syndrome/trisomy/autosomal deletions, other genetic conditions, and intellectual disability. Utilization of ED and inpatient hospital services were analyzed for 2012. RESULTS: Children with intellectual and developmental disabilities used both inpatient and ED care at 1.8 times that of the general population. Epilepsy/convulsions was the most frequent reason for hospitalization at 20 times the relative risk of the general population. Other frequent diagnoses requiring hospitalization were mood disorders, pneumonia, paralysis, and asthma. Annual per capita expenses for hospitalization and ED care were 100% higher for children with intellectual and developmental disabilities, compared with the general population ($153,348,562 and $76,654,361, respectively). CONCLUSIONS: Children with intellectual and developmental disabilities utilize significantly more ED and inpatient care than other children, which results in higher annual costs. Recognizing chronic conditions that increase risk for hospital care can provide guidance for developing outpatient care strategies that anticipate common clinical problems in intellectual and developmental disabilities and ensure responsive management before hospital care is needed.

OBJECTIVE: To assess the association between the change in statewide smoke-free laws and the rate of preterm or low birth weight delivery hospitalizations. DATA SOURCE: 2002-2013 Healthcare Cost and Utilization Project State Inpatient Databases. STUDY DESIGN: Quasi-experimental difference-in-differences design. We used multivariate logistic models to estimate the association between the change in state smoke-free laws and preterm or low birth weight delivery hospitalizations. The analyses were also stratified by maternal race/ethnicity to examine the differential effects by racial/ethnic groups. DATA COLLECTION/EXTRACTION METHODS: Delivery hospitalizations among women aged 15-49 years were extracted using the International Classification of Diseases, Ninth Revision, and Diagnosis-Related Group codes. PRINCIPAL FINDINGS: Non-Hispanic black mothers had a higher rate of preterm or low birth weight delivery hospitalization than other racial/ethnic groups. Overall, there was no association between the change in smoke-free laws and preterm or low birth weight delivery rate. Among non-Hispanic black mothers, the change in statewide smoke-free laws was associated with a 0.9-1.9 percentage point (P < .05) reduction in preterm or low birth weight delivery rate beginning in the third year after the laws took effect. There was no association among non-Hispanic white mothers. A decline in the black-white disparity of 0.6-1.6 percentage points (P < .05) in preterm or low birth weight delivery rates was associated with the change in state smoke-free laws. CONCLUSION: The change in state smoke-free laws was associated with a reduction in racial/ethnic disparities in preterm or low birth weight delivery hospitalizations in selected US states.

BACKGROUND: High-intensity antitobacco media campaigns are a proven strategy to reduce the harms of cigarette smoking. While buy-in from multiple stakeholders is needed to launch meaningful health policy, the budgetary impact of sustained media campaigns from multiple payer perspectives is unknown. METHODS: We estimated the budgetary impact and time to breakeven from societal, all-payer, Medicare, Medicaid and private insurer perspectives of national antitobacco media campaigns in the USA. Campaigns of 1, 5 and 10 years of durations were assessed in a microsimulation model to estimate the 10 and 20-year health and budgetary impact. Simulation model inputs were obtained from literature and both pubic use and proprietary data sets. RESULTS: The microsimulation predicts that a 10-year national smoking cessation campaign would produce net savings of $10.4, $5.1, $1.4, $3.6 and $0.2 billion from the societal, all-payer, Medicare, Medicaid and private insurer perspectives, respectively. National antitobacco media campaigns of 1, 5 and 10-year durations could produce net savings for Medicaid and Medicare within 2 years, and for private insurers within 6-9 years. A 10-year campaign would reduce adult cigarette smoking prevalence by 1.2 percentage points, prevent 23 500 smoking-attributable deaths over the first 10 years. In sensitivity analysis, media campaign costs would be offset by reductions in medical care spending of smoking among all payers combined within 6 years in all tested scenarios. CONCLUSIONS: 1, 5 and 10-year antitobacco media campaigns all yield net savings within 10 years from all perspectives. Multiyear campaigns yield substantially higher savings than a 1-year campaign.

INTRODUCTION: Youth cigarette smoking decreased significantly over the last two decades in the United States. This study provides estimates and trends from 2011 to 2018 and factors associated with youth menthol and non-menthol smoking from 2016 to 2018. METHODS: Using data from the 2011-2018 National Youth Tobacco Surveys, past 30-day (current) menthol and non-menthol cigarette smoking were estimated for all youth (prevalence) and youth smokers (proportions). Trends were examined using Joinpoint regression, calculating the annual percent change (APC). Multivariate logistic regression analyses identified factors associated with menthol smoking. RESULTS: From 2011 to 2018, menthol cigarette smoking among current youth cigarette smokers significantly decreased from 57.3% to 45.7% (APC: -3.0%), while non-menthol (38.2% to 47.3% [APC: 2.9%]) and unknown menthol status (not sure\missing) (4.5% to 7.0% [APC: 7.1%]) significantly increased. Menthol cigarette smoking among high school, male, female, and non-Hispanic white current cigarette smokers decreased, but remained unchanged among middle school, non-Hispanic black, and Hispanic smokers. Significantly higher proportions of menthol cigarette smokers smoked on >/=20 days, >/=2 cigarettes per day, and >/=100 cigarettes in their lifetime compared to non-menthol smokers. Among current cigarette smokers, non-Hispanic blacks, Hispanics, flavored non-cigarette tobacco users, frequent smokers (>/=20 days), those smoking 2-5 cigarettes per day, and those living with someone who uses tobacco had higher odds of menthol cigarette smoking. CONCLUSIONS: In 2018, nearly half of current youth cigarette smokers smoked menthol cigarettes. While menthol cigarette smoking declined from 2011 to 2018 among all youth and among youth smokers, there was no change in menthol cigarette smoking among non-Hispanic black, Hispanic, and middle school cigarette smokers. IMPLICATIONS: This study finds that overall cigarette and menthol cigarette smoking declined in youth from 2011 to 2018. However, menthol cigarette smoking among non-Hispanic black, Hispanic, and middle school youth cigarette smokers did not change. Information from this study can help inform efforts to reduce menthol cigarette smoking among US youth, particularly racial/ethnic minority populations.

The prevalence of current cigarette smoking is approximately twice as high among adults enrolled in Medicaid (23.9%) as among privately insured adults (10.5%), placing Medicaid enrollees at increased risk for smoking-related disease and death (1). Medicaid spends approximately $39 billion annually on treating smoking-related diseases (2). Individual, group, and telephone counseling and seven Food and Drug Administration (FDA)-approved medications* are effective in helping tobacco users quit (3). Comprehensive, barrier-free, widely promoted coverage of these treatments increases use of cessation treatments and quit rates and is cost-effective (3). To monitor changes in state Medicaid cessation coverage for traditional Medicaid enrollees(dagger) over the past decade, the American Lung Association collected data on coverage of nine cessation treatments by state Medicaid programs during December 31, 2008-December 31, 2018: individual counseling, group counseling, and the seven FDA-approved cessation medications( section sign); states that cover all nine of these treatments are considered to have comprehensive coverage. The American Lung Association also collected data on seven barriers to accessing covered treatments.( paragraph sign) As of December 31, 2018, 15 states covered all nine cessation treatments for all enrollees, up from six states as of December 31, 2008. Of these 15 states, Kentucky and Missouri were the only ones to have removed all seven barriers to accessing these cessation treatments. State Medicaid programs that cover all evidence-based cessation treatments, remove barriers to accessing these treatments, and promote covered treatments to Medicaid enrollees and health care providers could reduce smoking, smoking-related disease, and smoking-attributable federal and state health care expenditures (3-7).

PURPOSE: Using cross-sectional data, we measured the association between electronic cigarette (e-cigarette) use and subsequent initiation and sustained use of cigarettes among U.S. youth. METHODS: Data were pooled from the 2015-2017 National Youth Tobacco Survey, a school-based survey of U.S. students in grades 6-12. Questions on current age and age of first use of different tobacco products (cigarettes, e-cigarettes, cigars, and smokeless tobacco) were used to ascertain the temporal sequence of tobacco product use. The pooled study population was 52,579 youth who 5 years before the survey had never smoked cigarettes. E-cigarette users were defined as those who used e-cigarettes before or without ever smoking cigarettes. Cigarette smoking was assessed with the following measures: ever smoking a cigarette at any time within the past 5 years and sustained smoking (smoked >/=1 year ago and within past 30 days). Adjusted odds ratios (AORs) were calculated, controlling for other tobacco product use and sociodemographics. RESULTS: Among never cigarette smokers as of 5 years before the survey, 17.4% used e-cigarettes, and 15.6% first smoked within the past 5 years. Compared with those who did not use e-cigarettes, those who used e-cigarettes had higher odds of ever smoking cigarettes within the past 5 years (AOR = 2.73) and had higher odds of sustained smoking (AOR = 1.55; all p < .05). CONCLUSIONS: E-cigarette use is associated with subsequent initiation and sustained use of cigarettes among youth. Efforts are warranted to reduce youth use of all tobacco products, including e-cigarettes.

In November 2018, US Food and Drug Administration announced its intent to prohibit menthol in combustible tobacco products, prohibit flavored cigars, and prohibit flavored e-cigarettes unless they are sold in age-restricted, in-person locations. This study assessed adult attitudes toward prohibiting flavors in all tobacco products, including e-cigarettes. Data were from the 2016 Summer Styles survey of 4203 US adults aged >/=18years. Respondents were asked whether they favored or opposed prohibiting flavors (e.g., menthol, spicy, sweet, or fruity flavor) in all tobacco products. Prevalence and correlates of favorability were assessed using weighted percentages and adjusted prevalence ratios (aPR) respectively. Assessed correlates were: sex, age, race/ethnicity, income, US Census region, marital status, children <18years living in the home, perceptions toward e-cigarette advertising, and current (past 30-day) tobacco product use. Overall, 47.3% of adults reported favorable attitudes toward prohibiting flavors in all tobacco products. By tobacco product use status, prevalence was 52.0%, 48.4%, and 34.8% among never, former, and current users, respectively (p<.05). Among current tobacco product users, favorability was more likely among adults who believed e-cigarette ads exposure makes youth think about smoking (aPR=1.82; 95% CI=1.20-2.78) and those with any children aged <18years in their household (aPR=1.38; 95% CI=1.05-1.82). To conclude, nearly half of adults favored prohibiting flavors in all tobacco products, including e-cigarettes. Prohibiting flavors in tobacco products could benefit public health by reducing both individual-level and population-level harms, including tobacco use initiation especially among youth.

Each year, tobacco use is responsible for approximately 8 million deaths worldwide, including 7 million deaths among persons who use tobacco and 1.2 million deaths among nonsmokers exposed to secondhand smoke (SHS) (1). Approximately 80% of the 1.1 billion persons who smoke tobacco worldwide reside in low- and middle-income countries (2,3). The World Health Organization's (WHO's) Framework Convention on Tobacco Control (FCTC) provides the foundation for countries to implement and manage tobacco control through the MPOWER policy package,* which includes monitoring tobacco use, protecting persons from SHS, warning them about the danger of tobacco, and enforcing bans on tobacco advertising, promotion, or sponsorship (tobacco advertising) (4). CDC analyzed data from 11 countries that completed two or more rounds of the Global Adult Tobacco Survey (GATS) during 2008-2017. Tobacco use and tobacco-related behaviors that were assessed included current tobacco use, SHS exposure, thinking about quitting because of warning labels, and exposure to tobacco advertising. Across the assessed countries, the estimated percentage change in tobacco use from the first round to the most recent round ranged from -21.5% in Russia to 1.1% in Turkey. Estimated percentage change in SHS exposure ranged from -71.5% in Turkey to 72.9% in Thailand. Estimated percentage change in thinking about quitting because of warning labels ranged from 77.4% in India to -33.0% in Turkey. Estimated percentage change in exposure to tobacco advertising ranged from -66.1% in Russia to 44.2% in Thailand. Continued implementation and enforcement of proven tobacco control interventions and strategies at the country level, as outlined in MPOWER, can help reduce tobacco-related morbidity and mortality worldwide (3,5,6).

BACKGROUND: Limited data exist on whether there is differential pricing of flavoured and non-flavoured varieties of the same product type. We assessed price of tobacco products by flavour type. METHODS: Retail scanner data from Nielsen were obtained for October 2011 to January 2016. Universal product codes were used to classify tobacco product (cigarettes, roll-your-own cigarettes (RYO), little cigars and moist snuff) flavours as: menthol, flavoured or non-flavoured. Prices were standardised to a cigarette pack (20 cigarette sticks) or cigarette pack equivalent (CPE). Average prices during 2015 were calculated overall and by flavour designation. Joinpoint regression and average monthly percentage change were used to assess trends. RESULTS: During October 2011 to January 2016, price trends increased for menthol (the only flavour allowed in cigarettes) and non-flavoured cigarettes; decreased for menthol, flavoured and non-flavoured RYO; increased for flavoured little cigars, but decreased for non-flavoured and menthol little cigars; and increased for menthol and non-flavoured moist snuff, but decreased for flavoured moist snuff. In 2015, average national prices were US$5.52 and US$5.47 for menthol and non-flavoured cigarettes; US$1.89, US$2.51 and US$4.77 for menthol, non-flavoured and flavoured little cigars; US$1.49, US$1.64 and US$1.78 per CPE for menthol, non-flavoured and flavoured moist snuff; and US$0.93, US$1.03 and $1.64 per CPE flavoured, menthol and non-flavoured RYO, respectively. CONCLUSION: Trends in the price of tobacco products varied across products and flavour types. Menthol little cigars, moist snuff and RYO were less expensive than non-flavoured varieties. Efforts to make flavoured tobacco products less accessible and less affordable could help reduce tobacco product use.

On September 6, 2019, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). As of August 27, 2019, 215 possible cases of severe pulmonary disease associated with the use of electronic cigarette (e-cigarette) products (e.g., devices, liquids, refill pods, and cartridges) had been reported to CDC by 25 state health departments. E-cigarettes are devices that produce an aerosol by heating a liquid containing various chemicals, including nicotine, flavorings, and other additives (e.g., propellants, solvents, and oils). Users inhale the aerosol, including any additives, into their lungs. Aerosols produced by e-cigarettes can contain harmful or potentially harmful substances, including heavy metals such as lead, volatile organic compounds, ultrafine particles, cancer-causing chemicals, or other agents such as chemicals used for cleaning the device (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis, or other drugs; for example, "dabbing" involves superheating substances that contain high concentrations of THC and other plant compounds (e.g., cannabidiol) with the intent of inhaling the aerosol. E-cigarette users could potentially add other substances to the devices. This report summarizes available information and provides interim case definitions and guidance for reporting possible cases of severe pulmonary disease. The guidance in this report reflects data available as of September 6, 2019; guidance will be updated as additional information becomes available.

BACKGROUND: To assess disparities in current (past 30 days) cigarette smoking among US adults aged >/= 18 years during 2002-2016. METHODS: Nine indicators associated with social disadvantage were analysed from the 2002 to 2016 National Survey on Drug Use and Health: education, annual family income, sex, race/ethnicity, urbanicity, serious psychological distress, health insurance, public assistance, and employment status. Using descriptive and multivariable analyses, we measured trends in smoking overall and within the assessed variables. We also evaluated effect of interactions on disparities and estimated the excess number of smokers attributable to disparities. RESULTS: During 2002-2016, current cigarette smoking prevalence declined overall (27.5%-20.7%; p trend < 0.01), and among all subgroups except Medicare insurees and American Indians/Alaska Natives (AI/ANs). Overall inequalities in cigarette smoking grew even wider or remained unchanged for several indicators during the study period. In 2016, comparing groups with the least versus the most social advantage, the single largest disparity in current smoking prevalence was seen by race/ethnicity (prevalence ratio = 5.1, AI/ANs vs Asians). Education differences alone explained 38.0% of the observed racial/ethnic disparity in smoking prevalence. Interactions were also present; compared with the population-averaged prevalence among all AI/AN individuals (34.0%), prevalence was much higher among AI/ANs with <high school diploma (53.0%), unemployed (58.0%), or with serious psychological distress (66.9%). The burden of smoking attributable to race/ethnic disparities in smoking prevalence was an estimated 27.6 million smokers. CONCLUSIONS: Overall smoking inequality increased or remained unchanged because of slower declines in smoking prevalence among disadvantaged groups. Targeted interventions among high-risk groups can narrow disparities.

INTRODUCTION: Widely marketed flavored tobacco products might appeal to nonusers and could be contributing to recent increases in tobacco product use. We assessed flavored product use among current tobacco users; and measured associations between flavored product use and dependence among US adults. METHODS: Data were from the 2014-2015 Tobacco Use Supplement to the Current Population Survey, a cross-sectional household-based survey of U.S. adults >/=18 years (n=163,920). Current users of cigarettes, cigars, pipes, hookahs, smokeless tobacco, and electronic cigarettes (e-cigarettes) were asked whether their usual product was menthol or came in any characterizing flavors. Proportions of flavored product users were computed nationally and by state and demographic characteristics. Tobacco dependence was assessed with two proxy measures: daily use and use </=30 minutes after waking. Associations between flavored product use and tobacco dependence were examined using logistic regression adjusted for sex, age, race/ethnicity, and multi tobacco product use. RESULTS: An estimated 41.0% of current users of any tobacco product usually used a flavored product during 2014-2015. The proportion ranged from 22.5% (Maine) to 62.1% (D.C.). By product, the proportion ranged from 28.3% (cigars) to 87.2% (hookah). Flavored product use was associated with: daily tobacco product use among current e-cigarette users (adjusted odds ratio [AOR]=1.71), cigar smokers (AOR=1.42), and cigarette smokers (AOR=1.13); and tobacco product use </=30 minutes after waking among current cigar smokers (AOR=1.80), and cigarette smokers (AOR=1.11). CONCLUSIONS: Restricting sales of flavored tobacco products and implementation of proven population-level tobacco control interventions could help reduce tobacco product use among U.S. adults. IMPLICATIONS: During 2014-2015, flavored tobacco products were widely used by U.S. adults with variations across states and demographic characteristics. Use of flavored e-cigarettes, flavored cigars, and menthol cigarettes were associated with daily tobacco use: use of flavored cigars and menthol cigarettes were associated with tobacco use within 30 minutes after waking. These findings suggest associations between flavor use and increased tobacco dependence. Prohibiting sale of flavored products can reduce access to those products, and could help reduce tobacco dependence and promote cessation behaviors among current tobacco product users.

OBJECTIVE: To identify children with ADHD enrolled in New York State (NYS) Medicaid and characterize ADHD-associated costs by treatment category. METHOD: In 2013, 1.4 million children aged 2 to 17 years were enrolled in NYS Medicaid. Medicaid claims and encounters were used to identify children with ADHD, classify them by type of treatment received, and estimate associated costs. RESULTS: The ADHD cohort comprised 5.4% of all Medicaid-enrolled children, with 35.0% receiving medication only, 16.2% receiving psychological services only, 42.2% receiving both, and 6.6% receiving neither. The total costs for the ADHD cohort (US$729.3 million) accounted for 18.1% of the total costs for children enrolled in NYS Medicaid. CONCLUSION: This study underscores the importance of achieving a better understanding of children with ADHD enrolled in NYS Medicaid. A framework to categorize children with ADHD based on their treatment categories may help to target interventions to improve the quality of care and reduce costs.

Each year, tobacco use causes approximately 7 million deaths worldwide, including approximately 6 million among tobacco users and an estimated 890,000 among nonsmokers exposed to secondhand smoke (1). Tobacco use is a leading preventable cause of disease globally and has been determined to cause adverse health outcomes such as coronary heart disease, stroke, and multiple types of cancer, including lung cancer (2-4). Approximately 80% of the world's 1.1 billion tobacco smokers reside in low- and middle-income countries (4). Some persons do not fully understand the health risks associated with tobacco smoking (5-9), and studies have indicated that increasing knowledge about the adverse health effects of smoking can contribute to decreases in smoking, increases in cessation attempts, and increases in successful cessation (3,7,10). CDC analyzed 2008-2016 Global Adult Tobacco Survey (GATS) data from 28 countries to assess tobacco smoking prevalence, quit attempts, and knowledge about tobacco smoking risks among persons aged >/=15 years. Across countries, the median prevalence of tobacco smoking was 22.5%, and a median of 42.5% of tobacco smokers had made a quit attempt in the preceding 12 months. The median prevalences of knowing that tobacco smoking causes stroke, heart attack, and lung cancer were 73.6%, 83.6%, and 95.2%, respectively. Implementation of proven tobacco control interventions, including strategies that increase knowledge about the health risks posed by tobacco use, might help to reduce tobacco use and tobacco-related disease, including heart disease, stroke, and lung cancer (3-5).

During the past few decades, wide disparities in tobacco product use have been documented among the largest racial/ethnic groups in the United States (1,2); however, little is known about tobacco product use among youths from racial/ethnic groups other than whites, blacks, and Hispanics. Surveillance reports typically aggregate these racial/ethnic minorities into a single category because of small sample sizes (3). To assess tobacco product use among U.S. middle and high school students from seven racial/ethnic groups (non-Hispanic whites [whites], non-Hispanic blacks [blacks], Hispanics, non-Hispanic Asians [Asians], non-Hispanic American Indian/Alaska natives [AI/ANs], non-Hispanic Native Hawaiians/Other Pacific Islanders [NHOPIs], and non-Hispanic multiracial persons [multiracial]), CDC analyzed pooled data from the 2014-2017 National Youth Tobacco Surveys (NYTS). Prevalence of ever (>/=1 time in lifetime) and current (>/=1 time in past 30 days) use of seven tobacco products (cigarettes, cigars, smokeless tobacco, electronic cigarettes [e-cigarettes], hookahs, pipes, and bidis) was assessed; any tobacco product use was defined as use of one or more tobacco products, including hand-rolled cigarettes. During 2014-2017, ever-use of any tobacco product among U.S. middle and high school students was as follows: NHOPIs (45.1%), AI/ANs (43.8%), multiracial persons (38.2%), Hispanics (35.1%), blacks (32.3%), whites (32.0%), and Asians (16.3%). Current use of any tobacco product was as follows: NHOPIs (23.4%), AI/ANs (20.6%), multiracial persons (16.5%), whites (15.3%), Hispanics (14.6%), blacks (11.5%), and Asians (5.0%). Among black middle and high school students, cigars were the most common product currently used, whereas e-cigarettes were the most commonly used product for all other racial/ethnic groups. Comprehensive and sustained implementation of evidence-based, population-level tobacco control interventions could reduce prevalence and disparities in tobacco product use among U.S. youths.

BACKGROUND: We investigated 3 social dimensions of youth hookah smoking: frequency, places smoked, and descriptive social norms. METHODS: Data were from the 2016 National Youth Tobacco Survey of US sixth- to 12th-graders (n = 20 675). Hookah smoking frequency was classified as never, former, current occasional, and current frequent. Places where past 30-day hookah smoking occurred and students' perceptions of their classmates' hookah smoking prevalence were assessed. Descriptive and multivariable analyses were performed (P < .05). RESULTS: Overall, 10.5% reported smoking hookah >/=1 time in their lifetime. Of these, 65.8% were former, 26.3% were current occasional, and 7.9% were current frequent smokers. Overall, 59.3% of students overestimated hookah smoking prevalence in their grade. Current occasional smoking was predicted by female sex (adjusted odds ratio [aOR] = 1.54) and peer hookah-smoking overestimation (aOR = 9.30). Current frequent smoking was most strongly predicted by living with a hookah smoker (aOR = 20.56), speaking a second language other than English (aOR = 2.17), and co-use of mentholated cigarettes (aOR = 19.94) or other flavored noncigarette tobacco products (aOR = 17.59). The top 3 places hookah was smoked were a friend's house (47.7%), the respondent's own house (31.8%), and another family member's house (20.8%). CONCLUSIONS: The home environment was the most common place for youth hookah smoking. Home-tailored interventions that encourage voluntary smoke-free rules and warn about the dangers of social smoking could help denormalize hookah smoking.

This project sought to identify Medicaid members with intellectual and developmental disabilities (IDD) in five states (Delaware, Iowa, Massachusetts, New York, and South Carolina) to develop a cohort for subsequent analyses of medical conditions and service utilization. We estimated that over 300,000 Medicaid members in these states had IDD. All members with diagnostic codes for IDD were identified and the three most frequent diagnoses were unspecified intellectual disability, autism or pervasive developmental disorder, and cerebral palsy. The percentage of Medicaid members with IDD ranged from 2.3% in New York to 4.2% in South Carolina. Identifying and characterizing people with IDD is a first step that could guide public health promotion efforts for this population.

IMPORTANCE: Two components of social norms-descriptive (estimated prevalence) and injunctive (perceived acceptability)-can influence youth tobacco use. OBJECTIVE: To investigate electronic cigarettes (e-cigarette) and cigarette descriptive norms and measure the associations between overestimation of e-cigarette and cigarette prevalence and tobacco-related attitudes and behaviours. DESIGN: Cross-sectional. SETTING: School-based, using paper-and-pencil questionnaires. PARTICIPANTS: US 6th-12th graders participating in the 2015 (n=17 711) and 2016 (n=20 675) National Youth Tobacco Survey. EXPOSURE: Students estimated the percent of their grade-mates who they thought used e-cigarettes and cigarettes; the discordance between perceived versus grade-specific actual prevalence was used to categorise students as overestimating (1) neither product, (2) e-cigarettes only, (3) cigarettes only or (4) both products. OUTCOMES: Product-specific outcomes were curiosity and susceptibility (never users), as well as ever and current use (all students). Descriptive and multivariable logistic regression analyses were performed. Statistical significance was at P<0.05. Data were weighted to be nationally representative. RESULTS: More students overestimated cigarette (74.0%) than e-cigarette prevalence (61.0%; P<0.05). However, the associations between e-cigarette-only overestimation and e-cigarette curiosity (adjusted OR (AOR)=3.29), susceptibility (AOR=2.59), ever use (AOR=5.86) and current use (AOR=8.15) were each significantly larger than the corresponding associations between cigarette-only overestimation and cigarette curiosity (AOR=1.50), susceptibility (AOR=1.54), ever use (AOR=2.04) and current use (AOR=2.52). Despite significant declines in actual e-cigarette use prevalence within each high school grade level during 2015-2016, perceived prevalence increased (11th and 12th grades) or remained unchanged (9th and 10th grades). CONCLUSIONS: Four of five US students overestimated peer e-cigarette or cigarette use. Counter-tobacco mass media messages can help denormalise tobacco use.

Cigarette smoking prevalence among Medicaid enrollees (25.3%) is approximately twice that of privately insured Americans (11.8%), placing Medicaid enrollees at increased risk for smoking-related disease and death (1). Medicaid spends approximately $39 billion annually on treating smoking-related diseases (2). Individual, group, and telephone counseling and seven Food and Drug Administration (FDA)-approved medications* are effective in helping tobacco users quit (3). Although state Medicaid coverage of tobacco cessation treatments improved during 2014-2015, coverage was still limited in most states (4). To monitor recent changes in state Medicaid cessation coverage for traditional (i.e., nonexpansion) Medicaid enrollees, the American Lung Association collected data on coverage of a total of nine cessation treatments: individual counseling, group counseling, and seven FDA-approved cessation medications(dagger) in state Medicaid programs during July 1, 2015-June 30, 2017. The American Lung Association also collected data on seven barriers to accessing covered treatments, such as copayments and prior authorization. As of June 30, 2017, 10 states covered all nine of these treatments for all enrollees, up from nine states as of June 30, 2015; of these 10 states, Missouri was the only state to have removed all seven barriers to accessing these cessation treatments. State Medicaid programs that cover all evidence-based cessation treatments, remove barriers to accessing these treatments, and promote covered treatments to Medicaid enrollees and health care providers would be expected to reduce smoking, smoking-related disease, and smoking-attributable federal and state health care expenditures (5-7).

Nearly all adult smokers first try cigarettes before age 18 years (1), and adolescents can show symptoms of nicotine dependence within days to weeks of the onset of occasional cigarette smoking (2). Having a usual cigarette brand among adolescent smokers could reflect exposure and receptivity to pro-tobacco advertising and tobacco product appeal (1). To identify usual cigarette brands smoked among U.S. middle and high school students who were current (past 30-day) cigarette smokers, CDC analyzed data from the 2012-2016 National Youth Tobacco Survey (NYTS). Marlboro, Newport, and Camel were the most commonly reported brands smoked during 2012-2016; in 2016, these three were the brands usually smoked for 73.1% and 78.7% of current cigarette smokers in middle and high school, respectively. These three brands also were the three most commonly identified as having a "favorite cigarette ad" in 2012. Efforts to reduce youth exposure to pro-tobacco advertising could help reduce youth smoking (1,3).

Despite recent declines in cigarette smoking prevalence, the tobacco product landscape has shifted to include emerging tobacco products* (1,2). Previous research has documented adult use of smokeless tobacco and cigarettes by state (3); however, state-specific data on other tobacco products are limited. To assess tobacco product use in the 50 U.S. states and the District of Columbia (DC), CDC and the National Cancer Institute analyzed self-reported use of six tobacco product types: cigarettes, cigars, regular pipes, water pipes, electronic cigarettes (e-cigarettes), and smokeless tobacco products among adults aged >/=18 years using data from the 2014-2015 Tobacco Use Supplement to the Current Population Survey (TUS-CPS). Prevalence of ever-use of any tobacco product ranged from 27.0% (Utah) to 55.4% (Wyoming). Current (every day or some days) use of any tobacco product ranged from 10.2% (California) to 27.7% (Wyoming). Cigarettes were the most common currently used tobacco product in all states and DC. Among current cigarette smokers, the proportion who currently used one or more other tobacco products ranged from 11.5% (Delaware) to 32.3% (Oregon). Differences in tobacco product use across states underscore the importance of implementing proven population-level strategies to reduce tobacco use and expanding these strategies to cover all forms of tobacco marketed in the United States. Such strategies could include comprehensive smoke-free policies, tobacco product price increases, anti-tobacco mass media campaigns, and barrier-free access to clinical smoking cessation resources (1,4).

In 2015, an estimated 18.8 million U.S. adults were military veterans (1). Although the prevalence of tobacco-attributable conditions is high among veterans (2), there is a paucity of data on use of tobacco products, other than cigarettes, in this population. To monitor tobacco product use among veterans, CDC analyzed self-reported current (i.e., past 30-day) use of five tobacco product types (cigarettes, cigars [big cigars, cigarillos, or little cigars], roll-your-own tobacco, pipes, and smokeless tobacco [chewing tobacco, snuff, dip, or snus]) from the National Survey on Drug Use and Health (NSDUH). Overall, 29.2% of veterans reported current use of any of the assessed tobacco products. Cigarettes were the most commonly used tobacco product (21.6%), followed by cigars (6.2%), smokeless tobacco (5.2%), roll-your-own tobacco (3.0%), and pipes (1.5%); 7.0% of veterans currently used two or more tobacco products. Within subgroups of veterans, current use of any of the assessed tobacco products was higher among persons aged 18-25 years (56.8%), Hispanics (34.0%), persons with less than a high school diploma (37.9%), those with annual family income <$20,000 (44.3%), living in poverty (53.7%), reporting serious psychological distress (48.2%), and with no health insurance (60.1%). By age and sex subgroups, use of any of the assessed tobacco products was significantly higher among all veteran groups than their nonveteran counterparts, except males aged >/=50 years. Expanding the reach of evidence-based tobacco control interventions among veterans could reduce tobacco use prevalence in this population.