Population-level impact of 'The Real Cost' campaign on youth smoking risk perceptions and curiosity, United Sates 2018-2020.

INTRODUCTION: The FDA's 'The Real Cost' tobacco prevention campaign aimed to counter tobacco marketing efforts directed toward children and youths. Our objectives were to explore the associations between exposure to the FDA's campaign and cigarette risk perception among the US adolescent population, and between exposure and cigarette smoking curiosity among adolescents who never smoked cigarettes. METHODS: We analyzed 3 cycles of National Youth Tobacco Survey (NYTS 2018-2020, n=53738). Multivariable logistic regression models were fitted to measure the relationship between campaign exposure and cigarettes risk perception (among all), as well as the relationship between campaign exposure and cigarette curiosity (among cigarette never smokers). RESULTS: Majority of youths have reported exposure to the campaign 63% between 2018-2020. The odds of youths perceiving cigarettes as risky were 1.6 times higher among exposed compared to those not exposed (adjusted odds ratio, AOR=1.60; 95% CI: 1.43-1.79). There were some racial disparities in risk perceptions among Hispanics and Non-Hispanic Blacks across exposure groups. Exposure was associated with higher cigarettes curiosity odds among Hispanic youths who never smoked (AOR=1.26; 95% CI: 1.10-1.44) compared to their Non-Hispanic White peers. CONCLUSIONS: The FDA's 'The Real Cost' campaign had exposure levels deemed essential for population-level perceptions change. Exposure was associated with youths having higher risk perceptions about the negative health outcomes related to cigarette smoking. However, students that never smoked were more curious about smoking with campaign exposure. Therefore, future health communication plans should consider both the potential benefits and possible unintended consequences prior to launching such campaigns.

Geographic, Occupational, and Sociodemographic Variations in Uptake of COVID-19 Booster Doses Among Fully Vaccinated US Adults, December 1, 2021, to January 10, 2022.

Importance: COVID-19 booster vaccine can strengthen waning immunity and widen the range of immunity against new variants. Objective: To describe geographic, occupational, and sociodemographic variations in uptake of COVID-19 booster doses among fully vaccinated US adults. Design, Setting, and Participants: This cross-sectional survey study used data from the Household Pulse Survey conducted from December 1, 2021, to January 10, 2022. Household Pulse Survey is an online, probability-based survey conducted by the US Census Bureau and is designed to yield estimates nationally, by state, and across selected metropolitan areas. Main Outcomes and Measures: Receipt of a booster dose was defined as taking 2 or more doses of COVID-19 vaccines with the first one being the Johnson and Johnson (Janssen) vaccine, or taking 3 or more doses of any of the other COVID-19 vaccines. Weighted prevalence estimates (percentages) were computed overall and among subgroups. Adjusted prevalence ratios (APRs) were calculated in a multivariable Poisson regression model to explore correlates of receiving a booster dose among those fully vaccinated. Results: A total of 135 821 adults completed the survey. Overall, 51.0% were female and 41.5% were aged 18 to 44 years (mean [SD] age, 48.07 [17.18] years). Of fully vaccinated adults, the percentage who reported being boosted was 48.5% (state-specific range, from 39.1% in Mississippi to 66.5% in Vermont). Nationally, the proportion of boosted adults was highest among non-Hispanic Asian individuals (54.1%); those aged 65 years or older (71.4%); those with a doctoral, professional, or master's degree (68.1%); those who were married with no children in the household (61.2%); those with annual household income of $200 000 or higher (69.3%); those enrolled in Medicare (70.9%); and those working in hospitals (60.5%) or in deathcare facilities (eg, funeral homes; 60.5%). Conversely, only one-third of those who ever received a diagnosis of COVID-19, were enrolled in Medicaid, working in pharmacies, with less than a high school education, and aged 18 to 24 years old were boosted. Multivariable analysis of pooled national data revealed that compared with those who did not work outside their home, the likelihood of being boosted was higher among adults working in hospitals (APR, 1.23; 95% CI, 1.17-1.30), ambulatory health care centers (APR, 1.16; 95% CI, 1.09-1.24), and social service settings (APR, 1.08; 95% CI, 1.01-1.15), whereas lower likelihood was seen among those working in food or beverage stores (APR, 0.85; 95% CI, 0.74-0.96) and the agriculture, forestry, fishing, or hunting industries (APR, 0.83; 95% CI, 0.72-0.97). Conclusions and Relevance: These findings suggest continuing disparities in receipt of booster vaccine doses among US adults. Targeted efforts at populations with low uptake may be needed to improve booster vaccine coverage in the US.

Exploratory analyses of clinical trial data used for health technology assessments: a retrospective evaluation.

OBJECTIVES: To examine the validity and statistical limitations of exploratory analyses of clinical trial data commonly requested by agencies responsible for determining which medical products may be financed or reimbursed by a healthcare system. DESIGN: This was a retrospective review of efficacy and safety analyses conducted for German Health Technology Assessment (HTA) evaluations with a decision date between 2015 and 2020, and an illustrative safety-related exploratory analysis of data from two phase III clinical trials of verubecestat (an anti-amyloid drug whose development was stopped for lack of efficacy) as would be mandated by the German HTA agency. RESULTS: We identified 422 HTA evaluations of 404 randomised controlled clinical trials. For 140 trials (34.7%), the evaluation was based on subpopulations of participants in the originating confirmatory trial (175 subpopulations were assessed). In 57% (100 of 175), the subpopulation sample size was 50% or less of the original study population. Detailed analysis of five evaluations based on subpopulations of the original trial is presented. The safety-related exploratory analysis of verubecestat led to 206 statistical analyses for treatments and 812 treatment-by-subgroup interaction tests. Of 31 safety endpoints with an elevated HR (suggesting association with drug treatment), the HR for 81% of these (25 of 31) was not elevated in both trials. Of the 812 treatment-by-subgroup interactions evaluated, 26 had an elevated HR for a subgroup in one trial, but only 1 was elevated in both trials. CONCLUSIONS: Many HTA evaluations rely on subpopulation analyses and numerous post hoc statistical hypothesis tests. Subpopulation analysis may lead to loss of statistical power and uncontrolled influences of random imbalances. Multiple testing may introduce spurious findings. Decisions about benefits of medical products should therefore not rely on exploratory analyses of clinical trial data but rather on prospective clinical studies and careful synthesis of all available evidence based on prespecified criteria.

Potential revenue from taxing e-cigarettes and comparison of annual costs of daily e-cigarette use versus daily cigarette smoking among South African adults.

INTRODUCTION: To inform policy making under the proposed The Control of Tobacco and Electronic Delivery Systems Bill, we compared annual costs of using e-cigarettes versus cigarettes, and estimated revenue from e-cigarette taxation. METHODS: We extracted e-cigarette retail prices from 231 South African e-cigarette vendor websites. We compared annual costs associated with daily cigarette smoking (self-reports from daily smokers in the 2018 South African Social Attitudes Survey, SASAS) versus daily e-cigarette use (based on cumulative costs of consumables plus device costs). We estimated revenue from excise tax if e-cigarettes were taxed at 75% (the rate proposed by the government) and 37.5% (half of the government's proposal as a hypothetical scenario) of the cigarette excise rate. We applied the different rates to e-cigarette consumption in 2018 SASAS and projected for 2021. RESULTS: Mean annual cost associated with daily use was ZAR 6693 (US$460.32, based on an exchange rate of about 69 US$ to 1000 ZAR) for manufactured cigarettes; for e-cigarettes, this ranged from ZAR 8574.69/year (with price minimizing strategies) to ZAR 19780.83/year (retail products exclusively). Expected revenue from e-cigarette excise tax at 75% of the cigarette tax rate was up to ZAR 2.20 billion (95% CI: 0.96-3.44). If taxed at 37.5% of the cigarette tax rate - half of the government's proposed rate - the projected revenue was up to ZAR 1.10 billion (95% CI: 0.48-1.72). Of the projected revenue from e-cigarette excise tax at 75% of the cigarette rate, the portion attributable to hardware (device and batteries) was 61% (ZAR 1.35 billion), while the portion attributable to e-liquid was 39% (ZAR 0.86 billion). CONCLUSIONS: Calculated daily costs were higher for e-cigarettes than cigarettes. We recommend an e-cigarette excise tax. The government's proposed tax rate may reduce youth e-cigarette access, while allowing adult smokers wishing to switch exclusively to e-cigarettes to reduce their tobacco-related harm.

Differences in price of flavoured and non-flavoured tobacco products sold in the USA, 2011-2016.

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.

Disparities in current cigarette smoking among US adults, 2002-2016.

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

Racial/Ethnic Disparities in Tobacco Product Use Among Middle and High School Students - United States, 2014-2017.

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.

Prevalence and Disparities in Tobacco Product Use Among American Indians/Alaska Natives - United States, 2010-2015.

An overarching goal of Healthy People 2020 is to achieve health equity, eliminate disparities, and improve health among all groups.* Although significant progress has been made in reducing overall commercial tobacco product use,† disparities persist, with American Indians or Alaska Natives (AI/ANs) having one of the highest prevalences of cigarette smoking among all racial/ethnic groups (1,2). Variations in cigarette smoking among AI/ANs have been documented by sex and geographic location (3), but not by other sociodemographic characteristics. Furthermore, few data exist on use of tobacco products other than cigarettes among AI/ANs (4). CDC analyzed self-reported current (past 30-day) use of five tobacco product types among AI/AN adults from the 2010-2015 National Survey on Drug Use and Health (NSDUH); results were compared with six other racial/ethnic groups (Hispanic; non-Hispanic white [white]; non-Hispanic black [black]; non-Hispanic Native Hawaiian or other Pacific Islander [NHOPI]; non-Hispanic Asian [Asian]; and non-Hispanic multirace [multirace]). Prevalence of current tobacco product use was significantly higher among AI/ANs than among non-AI/ANs combined for any tobacco product, cigarettes, roll-your-own tobacco, pipes, and smokeless tobacco. Among AI/ANs, prevalence of current use of any tobacco product was higher among males, persons aged 18-25 years, those with less than a high school diploma, those with annual family income <$20,000, those who lived below the federal poverty level, and those who were never married. Addressing the social determinants of health and providing evidence-based, population-level, and culturally appropriate tobacco control interventions could help reduce tobacco product use and eliminate disparities in tobacco product use among AI/ANs (1).

Tobacco Advertising and Promotional Expenditures in Sports and Sporting Events - United States, 1992-2013.

Smokeless tobacco has been actively promoted by tobacco companies using endorsements by major sport figures, and research indicates that tobacco advertising can lead to youth initiation of tobacco use (1,2). Television and radio advertisements for cigarettes and smokeless tobacco have been prohibited since 1969,* and the 1998 Master Settlement Agreement(†) further prohibited tobacco companies from targeting youths with tobacco product advertisements in specified areas. In 2010, the Food and Drug Administration (FDA), under authority of the 2009 Family Smoking Prevention and Tobacco Control Act (FSPTCA), prohibited tobacco-brand sponsorship (i.e., sponsorship of sports and entertainment events or other social or cultural events using the tobacco brand name or anything identifiable with any brand of cigarettes or smokeless tobacco).(§) However, corporate-name tobacco sponsorship (i.e., sponsorship using the name of the corporation that manufactures regulated tobacco products) is still permitted under certain conditions.(¶) To monitor tobacco advertising and promotional activities in sports in the United States, CDC analyzed trends in sports-related marketing expenditures for cigarettes and smokeless tobacco during 1992-2013 using data from the Federal Trade Commission (FTC). During 1992-2013, sports-related marketing expenditures, adjusted by the consumer price index to constant 2013 dollars, decreased significantly for both cigarettes (from $136 million in 1992 to $0 in 2013) and smokeless tobacco (from $34.8 million in 1992 to $2.1 million in 2013). During 2010-2013, after the prohibition of tobacco-brand sponsorship in sports under the FSPTCA, cigarette manufacturers reported no spending (i.e., $0) on sports-related advertising and promotional activities; in contrast, smokeless tobacco manufacturers reported expenditures of $16.3 million on advertising and promoting smokeless tobacco in sports during 2010-2013. These findings indicate that despite prohibitions on brand sponsorship, smokeless tobacco products continue to be marketed in sports in the United States, potentially through other indirect channels such as corporate-name sponsorship. Enhanced measures are warranted to restrict youth-oriented tobacco marketing and promotional activities that could lead to tobacco initiation and use among children and adolescents (2). Reducing tobacco industry promotion through sponsorship of public and private events is an evidence-based strategy for preventing youth initiation of tobacco use (3). In addition, other proven interventions (e.g., tobacco price increases, anti-tobacco mass media campaigns, tobacco-free policies inclusive of smokeless tobacco, and barrier-free access to cessation services), could help reduce smokeless tobacco use in the United States (1).

Relationship of secondhand smoke exposure with sociodemographic factors and smoke-free legislation in the European Union.

BACKGROUND: To explore whether exposure to secondhand smoke (SHS) among non-smokers in the European Union (EU) showed any association with sociodemographic factors and/or the extent of national tobacco control policies. METHODS: A secondary analysis was performed on data from 26 751 individuals ≥15 years old from 27 EU member states (EU MS), collected during the 2012 Special Eurobarometer survey (wave 77.1). Respondents were asked whether they had been exposed to SHS in eating or drinking establishments during the past 6 months, and/or in their workplace. Data on smoke-free policies were extracted from the European Tobacco Control Status Report and the European Tobacco Control Scale (TCS) in 2013. RESULTS: In total, 29.0% of non-smoking participants reported being exposed to SHS in indoor areas. Males (vs. females) as well as individuals with difficulties to pay bills (vs. those with no difficulties), had significantly greater odds of being exposed to SHS in bars, restaurants and workplaces. For every unit increase of a country's score on the Smoke-free Component of the TCS (indicating greater adherence to smoke-free legislations) the odds ratio of reporting exposure to SHS was 0.82 in bars, 0.85 in restaurants and 0.94 in workplaces. CONCLUSIONS: Differences in exposure to SHS clearly exist between and within EU MS, despite the fact that they all have signed the Framework Convention on Tobacco Control, with the burden found to disproportionally affect younger people and individuals with financial difficulties. Moreover, enforcement of smoke-free legislation was inversely associated with SHS exposure, highlighting the importance of enforcing comprehensive smoking bans.

National and State-Specific Sales and Prices for Electronic Cigarettes-U.S., 2012-2013.

INTRODUCTION: The growing market for electronic cigarettes (e-cigarettes) has been widely reported in the media, but very little objective data exist in the scientific literature, and no data have been published on state-specific trends in prices or sales. Our objective is to assess state-specific annual sales and average prices for e-cigarettes in the U.S. METHODS: Commercial retail scanner data were used to assess total dollar sales and average price per unit for disposable e-cigarettes, starter kits, and cartridge refills for selected states and the total U.S. during 2012-2013. Data were analyzed in 2014. Data were available for convenience stores (29 states) and food, drug, and mass merchandisers (44 states). RESULTS: In convenience stores, dollar sales increased markedly during 2012-2013: 320.8% for disposable e-cigarettes, 72.4% for starter kits, and 82% for cartridges. In food, drug, and mass merchandisers, dollar sales increased 49.5% for disposable e-cigarettes, 89.4% for starter kits, and 126.2% for cartridges. Average prices across all product categories increased in convenience stores and decreased in food, drug, and mass merchandisers. Sales and prices varied substantially across states included in the analyses. CONCLUSIONS: Sales of all e-cigarette device types grew considerably in convenience stores and food, drug, and mass merchandisers during 2012-2013. The market for e-cigarettes is growing rapidly, resulting in dynamic sales and price changes that vary across the U.S. Continued state-specific surveillance of the e-cigarette market is warranted.

Trends in annual sales and current use of cigarettes, cigars, roll-your-own tobacco, pipes, and smokeless tobacco among US adults, 2002-2012.

INTRODUCTION: Regulatory imbalances exist in the treatment of cigarettes and non-cigarette tobacco products in the USA. We assessed whether declines in cigarette consumption during 2002-2012 were offset by increased use of non-cigarette tobacco products-cigars, pipes, roll-your-own (RYO) and smokeless tobacco. METHODS: Industry-reported taxable removals (actual sales) were converted into packs for cigarettes and cigarette pack equivalents (CPEs) for loose tobacco (RYO plus pipe tobacco) and moist snuff. Cigars were not converted to CPEs because of their heterogeneity in size/tobacco content. Per capita sales were calculated for the US adult population aged ≥18 years based on the US Census Bureau data. Self-reported data on current (past 30-day) tobacco use among US adults aged ≥18 years were from the National Survey on Drug Use and Health (NSDUH). Joinpoint and logistic regression were used to assess linear trends during 2002-2012. RESULTS: During 2002-2012, cigarette sales declined from 96.91 to 59.85 cigarette packs per capita; increases occurred for sale of cigars (30.51-57.42 cigars per capita), loose tobacco (2.50-5.63 CPEs per capita) and moist snuff (10.64-14.58 CPEs per capita; all p<0.05 for trend). Self-reported current cigarette smoking declined during 2002-2012 (27.4-23.6%); increases were noted for current RYO (2.6-3.6%) and smokeless tobacco use (3.5-3.7%; all p<0.05 for trend). CONCLUSIONS: The increase in non-cigarette tobacco consumption is a public health concern because all tobacco products are harmful. Eliminating imbalances in tax structure and regulations between cigarettes and non-cigarette tobacco products may help reduce aggregate tobacco consumption.

Impact of cigarette price differences across the entire European Union on cross-border purchase of tobacco products among adult cigarette smokers.

BACKGROUND: We investigated the impact of cigarette price differences across the European Union (EU) on cross-border tobacco purchasing because of cheaper price among current cigarette smokers. METHODS: Individual-level tobacco-related data (including cross-border tobacco purchasing behavior) were from the Special Eurobarometer 385 (V.77.1), a cross-sectional survey of persons aged ≥15 years from 27 EU Member States during 2012. Country-specific weighted average prices (WAP) per 1000 cigarettes (as of 1 July 2012) were obtained from the European Commission, and divided by 50 to yield WAP per cigarette pack. The dispersion in EU cigarette prices was measured with the coefficient of variation. Multivariate logistic regression was applied to measure the relationship between EU-wide cigarette price differential and cross-border tobacco purchasing because of cheaper price among current cigarette smokers (n=6896). RESULTS: The coefficient of variation for cigarette WAP within the EU was 0.39 (mean price=€3.99/pack). Of all current cigarette smokers in the EU, 26.2% (27.5 million persons) engaged in a cross-border tobacco purchase within the past 12 months, of which 56.3% did so because of cheaper price in another country. EU-wide cigarette price differential was significantly associated with making a cross-border tobacco purchase because of cheaper price (adjusted OR=1.34; 95% CI 1.22 to 1.47). CONCLUSIONS: Reducing differences in cigarette tax and price within the EU, coupled with a stricter limitation on the quantity of cigarettes that it is possible to carry from one Member State to another, may help reduce cross-border tax avoidance strategies.

Impact of the 5As brief counseling on smoking cessation among pregnant clients of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) clinics in Ohio.

OBJECTIVES: We assessed whether smoking cessation improved among pregnant smokers who attended Women, Infants and Children (WIC) Supplemental Nutrition Program clinics trained to implement a brief smoking cessation counseling intervention, the 5As: ask, advise, assess, assist, arrange. METHODS: In Ohio, staff in 38 WIC clinics were trained to deliver the 5As from 2006 through 2010. Using 2005-2011 Pregnancy Nutrition Surveillance System data, we performed conditional logistic regression, stratified on clinic, to estimate the relationship between women's exposure to the 5As and the odds of self-reported quitting during pregnancy. Reporting bias for quitting was assessed by examining whether differences in infants' birth weight by quit status differed by clinic training status. RESULTS: Of 71,526 pregnant smokers at WIC enrollment, 23% quit. Odds of quitting were higher among women who attended a clinic after versus before clinic staff was trained (adjusted odds ratio, 1.16; 95% confidence interval, 1.04-1.29). The adjusted mean infant birth weight was, on average, 96 g higher among women who reported quitting (P<0.0001), regardless of clinic training status. CONCLUSIONS: Training all Ohio WIC clinics to deliver the 5As may promote quitting among pregnant smokers, and thus is an important strategy to improve maternal and child health outcomes.

Levels of physical activity among adults 18-64 years old in 28 European countries.

BACKGROUND: Sedentary lifestyle is associated with more than three million deaths annually. Data from the 2013 Eurobarometer survey were analyzed to assess levels of physical activity across the European Union (EU) and to explore factors associated with adequate and high physical activity. METHODS: A representative sample of n=19,978 individuals aged 18-64 years from the 28 EU countries (sub-sample of the Eurobarometer survey, wave 80.2) was analyzed. Frequency and average duration of walking, moderate and vigorous physical activity was assessed with a self-reported questionnaire. Participants were then classified as physically inactive or adequately/highly active, based on the World Health Organization's (WHO) recommendations. The total amount of MET-minutes (MET-min) per week was also calculated for each respondent. RESULTS: The proportion of physically inactive individuals was 28.6%, (12.4% in Sweden to 53.7% in Cyprus), while 59.1% of the respondents (37.9% in Portugal and Cyprus to 72.2% in Sweden) were classified as highly active. The mean total weekly physical activity was 2151 MET-min (95%CI: 2095-2206), of which 891 MET-min (95%CI: 858-924) were contributed by vigorous exercise, 559 MET-min (95%CI: 540-578) by moderate exercise (excluding walking) and 690 MET-min (95%CI: 673-706) by walking. Male gender, younger age, residence in rural areas and Northern Europe, higher education level and ability to pay bills were independently associated with higher physical activity. CONCLUSION: One fourth of the EU population did not meet the WHO's recommendations for physical activity, with wide inequalities between and within countries. Wide-reaching environmental approaches are required to promote physical activity and address these inequalities.

A Mixed-Methods Assessment of a Brief Smoking Cessation Intervention Implemented in Ohio Public Health Clinics, 2013.

OBJECTIVES: In 2006, the state of Ohio initiated the implementation of a brief smoking cessation intervention (5As: Ask, Advise, Assess, Assist, and Arrange) in select public health clinics that serve low-income pregnant and post-partum women. Funds later became available to expand the program statewide by 2015. However, close to half of the clinics initially trained stopped implementation of the 5As. To help guide the proposed statewide expansion plan for implementation of the 5As, this study assessed barriers and facilitators related to 5As implementation among clinics that had ever received training. METHODS: A mixed-methods approach was used, comprising semi-structured interviews with clinic program directors (n = 21) and a survey of clinic staff members (n = 120), to assess implementation-related barriers, facilitators, training needs, and staff confidence in delivering the 5As. RESULTS: Semi-structured interviews of program directors elucidated implementation barriers including time constraints, low self-efficacy in engaging resistant clients, and paperwork-related documentation challenges. Facilitators included availability of community referral resources, and integration of cessation interventions into the clinic workflow. Program directors believed they would benefit from more hands-on training in delivering the 5As. The survey results showed that a majority of staff felt confident advising (61%) or referring clients for tobacco dependence treatment (74%), but fewer felt confident about discussing treatment options with clients (29%) or providing support to clients who had relapsed (30%). CONCLUSIONS: Time constraints and documentation issues were major barriers to implementing the 5As. Simplified documentation processes and training enhancements, coupled with systems change, may enhance delivery of evidence-based smoking cessation interventions.

Cigarette Smoking Trends and Social Disparities Among South African Adults, 2003-2011.

INTRODUCTION: Cigarette prices have almost doubled in South Africa within the past decade due to pricing/taxation policies. Little is known about the equity impact of these price increases in concert with other tobacco control policies. This study therefore examined trends in current cigarette smoking overall and by socioeconomic status (SES) in South Africa during 2003-2011. METHODS: Data were obtained from the 2003 (n = 2,855), 2007 (n = 2,907), and 2011 (n = 3,003) South African Social Attitudes Survey. Educational attainment (> grade 12, grade 12, grade 1-11, or no education) was used as a proxy for SES, and all analyses were restricted to respondents aged ≥25 years. Trends in current cigarette smoking-defined as daily or some days use of cigarettes-during 2003-2011 were assessed with estimates of annual percentage change (APC), while smoking disparities were assessed with relative concentration index (RCI). RESULTS: Although no significant change was observed in the overall prevalence of current smoking during 2003-2011, declines were observed among those with no education (APC = -8.2; p < .05 for linear trend). However, increased smoking was observed among the most educated women (from 4.0% in 2003 to 13.1% in 2011; p < .05 for linear trend). The RCI by educational status changed significantly during the study period, from 0.80 (2003) to 1.35 (2007) to 1.94 (2011). CONCLUSIONS: The policy environment in South Africa during 2003-2011 had a significant positive equity impact by SES, even though no aggregate change in smoking prevalence was observed. Intensified implementation of taxation measures as part of a comprehensive tobacco control may further reduce smoking disparities.

Association between unmet dental needs and school absenteeism because of illness or injury among U.S. school children and adolescents aged 6-17 years, 2011-2012.

BACKGROUND: We assessed the prevalence of dental disease among U.S. children and adolescents aged 6-17 years, as well as the impact of unmet dental needs on school absenteeism because of illness/injury within the past 12 months. METHODS: Data were from the 2011/2012 National Survey of Children's Health (n=65,680). Unmet dental need was defined as lack of access to appropriate and timely preventive or therapeutic dental healthcare when needed within the past 12 months. The impact of unmet dental needs on school absenteeism was measured using a multivariate generalized linear model with Poisson probability distribution (p<0.05). RESULTS: Within the past 12 months, 21.8% (10.8 million) of all U.S. children and adolescents aged 6-17 years had "a toothache, decayed teeth, or unfilled cavities." Of all U.S. children and adolescents aged 6-17 years, 15.8% (7.8 million) reported any unmet dental need (i.e., preventive and/or therapeutic dental need) within the past 12 months. The mean number of days of school absence because of illness/injury was higher among students with an unmet therapeutic dental need in the presence of a dental condition compared to those reporting no unmet dental need (ß=0.25; p<0.001). CONCLUSIONS: Enhanced and sustained efforts are needed to increase access to dental services among underserved U.S. children and adolescents.

The impact of inter-survey differences in the definition of current smokeless tobacco use on comparability of US national and state-specific prevalence estimates, 2009-2011.

BACKGROUND: We assessed how varying definitions of adult current smokeless tobacco (SLT) use affected overall prevalence estimates. METHODS: National prevalence estimates were from five surveys: 2009-2010 National Health and Nutrition Examination Survey (NHANES), 2009-2010 National Adult Tobacco Survey (NATS), 2010-2011 Tobacco Use Supplement of the Current Population Survey (TUS-CPS), 2010 National Survey on Drug Use and Health (NSDUH), and 2010 National Health Information Survey (NHIS). State-specific prevalence estimates were from three surveys: 2009-2010 NATS, 2010-2011 TUS-CPS, and 2010 Behavioral Risk Factor Surveillance System (BRFSS). Current SLT use definitions were as follows: past 5-day use (NHANES), past 30-day use (NATS and NSDUH), and "every day" or "some days" use (TUS-CPS, NHIS, and BRFSS). Inter-survey variations further existed in number and types of SLT products assessed. RESULTS: National prevalence estimates of current SLT use were as follows: NATS (3.9%), NSDUH (3.6%), NHIS (2.8%), NHANES (2.3%), and TUS-CPS (1.6%). State-specific prevalence estimates of SLT use were generally lower for TUS-CPS (median=2.1%, range: 0.5% in California and New York, to 7.2% in Wyoming) compared to either BRFSS (median=4.0%: range: 0.9% in Washington D.C., to 8.2% in Wyoming) or NATS (median=4.7%; range: 1.3% in New Jersey, to 9.8% in Wyoming). CONCLUSION: Concerted efforts are needed among interagency groups to harmonize SLT definition within different surveys.

Tobacco-free schools as a core component of youth tobacco prevention programs: a secondary analysis of data from 43 countries.

BACKGROUND: Preventing tobacco use is a key aspect of health promotion during adolescence. We assessed prevalence and impact of school-based tobacco prevention programs in 43 countries. METHODS: We performed a secondary analysis of national data of students aged 13-15 years (Global Youth Tobacco Surveys) from 43 countries during 2005-2011. National surveys of the corresponding school personnel (Global School Personnel Surveys) were performed in each country during the same year as the student surveys. Data on status of enforcement of national smoke-free school policies were obtained from the 2008 and 2009 WHO MPOWER reports. Logistic regression was used to measure ecologic-level associations between school-based tobacco prevention programs and tobacco-related knowledge and behaviour among students (P < 0.05). RESULTS: The proportion of students who were taught in class about the dangers of tobacco use during the school year ranged from 31.4% (Georgia) to 83.4% (Papua New Guinea). For every 10% increase (country level) in the proportion of teachers who reported having a tobacco prevention curriculum in their school, the odds of students reporting exposure to education in class about the dangers of tobacco increased by 6.0% (AOR = 1.06; 95% CI: 1.04-1.08). However, didactic education in class about the dangers of tobacco use was not independently associated with student current cigarette smoking behavior. Conversely, the likelihood of being a current smoker was significantly lower among students in countries with moderate/strongly enforced national smoke-free school policies compared with those in countries with poorly enforced/no national smoke-free school policies (AOR = 0.59; 95% CI: 0.45-0.76). CONCLUSIONS: Comprehensive tobacco prevention programs that include well-enforced smoke-free school policies may help reduce youth smoking.