Smoking in Popular Streaming Shows and Youth Protection in Germany.

Aim was to investigate the amount of smoking in popular streaming series in Germany with a focus on the comparison between series recommended for adults versus youth. The sample was drawn from the 35 highest user-rated streaming series, that released 1794 new episodes between January 1, 2017 and December 31, 2020. One-third of the episodes (N = 598) were randomly selected and analyzed for smoking content. The age ratings of these episodes ranged from 6 to 18 years, with categories of "6", "12", "16" and "18" years. Ten of the 35 shows (28.6%) were completely smoke-free, 25 shows (71.4%) had at least one episode with smoking. Of all analyzed episodes, 25.1% contained smoking (range = 1 to 36 smoking scenes; median = 4). There was a statistically significant association between episode age rating and the presence of smoking (χ2[3] = 9.1; p = 0.028; Spearman's rho = 0.11): The proportion of episodes with smoking was 0% for episodes with age ratings below 12 years, 20.4% for age ratings "12", 28.3% for age ratings "16", and 32.4% for age ratings "18". This association differed between streaming services, but all services had smoking in episodes rated for youth. Smoking is common in popular streaming series. None of the streaming services meet the recommendations of the WHO Framework Convention on Tobacco Control to reliably restrict young people's access to media content that depicts smoking.

Impairment of Endothelial Function by Cigarette Smoke Is Not Caused by a Specific Smoke Constituent, but by Vagal Input From the Airway.

BACKGROUND: Exposure to tobacco or marijuana smoke, or e-cigarette aerosols, causes vascular endothelial dysfunction in humans and rats. We aimed to determine what constituent, or class of constituents, of smoke is responsible for endothelial functional impairment. METHODS: We investigated several smoke constituents that we hypothesized to mediate this effect by exposing rats and measuring arterial flow-mediated dilation (FMD) pre- and post-exposure. We measured FMD before and after inhalation of sidestream smoke from research cigarettes containing normal and reduced nicotine level with and without menthol, as well as 2 of the main aldehyde gases found in both smoke and e-cigarette aerosol (acrolein and acetaldehyde), and inert carbon nanoparticles. RESULTS: FMD was reduced by all 4 kinds of research cigarettes, with extent of reduction ranging from 20% to 46% depending on the cigarette type. While nicotine was not required for the impairment, higher nicotine levels in smoke were associated with a greater percent reduction of FMD (41.1±4.5% reduction versus 19.2±9.5%; P=0.047). Lower menthol levels were also associated with a greater percent reduction of FMD (18.5±9.8% versus 40.5±4.8%; P=0.048). Inhalation of acrolein or acetaldehyde gases at smoke-relevant concentrations impaired FMD by roughly 50% (P=0.001). However, inhalation of inert carbon nanoparticles at smoke-relevant concentrations with no gas phase also impaired FMD by a comparable amount (P<0.001). Bilateral cervical vagotomy blocked the impairment of FMD by tobacco smoke. CONCLUSIONS: There is no single constituent or class of constituents responsible for acute impairment of endothelial function by smoke; rather, we propose that acute endothelial dysfunction by disparate inhaled products is caused by vagus nerve signaling initiated by airway irritation.

Active Smokers Are at Higher Risk of COVID-19 Death: A Systematic Review and Meta-analysis.

INTRODUCTION: Current evidence indicates that smoking worsens COVID-19 outcomes. However, when studies restricted their analyses to current smokers, the risks for COVID-19 severity and death are inconsistent. AIMS AND METHODS: This meta-analysis explored the association between current smoking and the risk for mortality based on the studies that reported all three categories of smoking (current, former, and never smokers) to overcome the limitation of the previous meta-analyses which former smokers might have been classified as nonsmokers. We searched PubMed and Embase up to January 1, 2021. We included studies reporting all three categories of smoking behaviors of COVID-19 patients and mortality outcomes. A random-effects meta-analysis and meta-regression were used to examine relationships in the data. RESULTS: A total of 34 articles with 35 193 COVID-19 patients was included. The meta-analysis confirmed the association between current smoking (odds ratio [OR] 1.26, 95% confidence interval [CI]: 1.01-1.58) and former smoking (OR 1.76, 95% CI: 1.53-2.03) with COVID-19 mortality. We also found that the risk for COVID-19 death in current smokers does not vary by age, but significantly drops by age in former smokers. Moreover, current smokers in non-high-income countries have higher risks of COVID-19 death compared with high-income countries (OR 3.11, 95% CI: 2.04-4.72 vs. OR 1.14, 95% CI: 0.91-1.43; p = .015). CONCLUSIONS: Current and former smokers are at higher risk of dying from COVID-19. Tobacco control should be strengthened to encourage current smokers to quit and prevent the initiation of smoking. Public health professionals should take the COVID-19 pandemic as an opportunity to promote smoking prevention and cession. IMPLICATIONS: This study makes an important contribution to the existing literature by distinguishing between current and former smoking and their separate effects on COVID-19 mortality. We also explore the effects by age of patients and country income level. Findings from this study provide empirical evidence against misinformation about the relationship between smoking and COVID-19 mortality.

Defeating JUUL's Effort to Rewrite San Francisco's E-Cigarette Regulations.

In 2019, San Francisco, California, prohibited the sale of electronic cigarettes lacking US Food and Drug Administration authorization. JUUL then promoted a ballot initiative (Proposition C) to replace San Francisco's e-cigarette legislation with legislation JUUL wrote that required future legislation to be approved by the voters. JUUL promoted Proposition C as a way to reduce youth e-cigarette use while allowing adult choice.Health groups argued that JUUL's measure could nullify San Francisco's prohibition on selling flavored tobacco products. Health groups benefitted from having an established campaign network that recently defended the flavor ban. They successfully framed Proposition C as a tobacco industry ploy to undo San Francisco's e-cigarette regulations, particularly the prohibition on selling flavored tobacco products. JUUL ended its campaign on September 30, 2019, and the measure failed on election day, with 82% voting against it.Lessons learned from the campaign include the importance of framing an industry initiative as a threat to local public health lawmaking and the potential for the e-cigarette issue to attract parents as new leaders and engage a powerful constituency to support tobacco control measures.

E-Cigarette Use and Adult Cigarette Smoking Cessation: A Meta-Analysis.

Objectives. To determine the association between e-cigarette use and smoking cessation.Methods. We searched PubMed, Web of Science Core Collection, and EMBASE and computed the association of e-cigarette use with quitting cigarettes using random effects meta-analyses.Results. We identified 64 papers (55 observational studies and 9 randomized clinical trials [RCTs]). In observational studies of all adult smokers (odds ratio [OR] = 0.947; 95% confidence interval [CI] = 0.772, 1.160) and smokers motivated to quit smoking (OR = 0.851; 95% CI = 0.684, 1.057), e-cigarette consumer product use was not associated with quitting. Daily e-cigarette use was associated with more quitting (OR = 1.529; 95% CI = 1.158, 2.019) and less-than-daily use was associated with less quitting (OR = 0.514; 95% CI = 0.402, 0.665). The RCTs that compared quitting among smokers who were provided e-cigarettes to smokers with conventional therapy found e-cigarette use was associated with more quitting (relative risk = 1.555; 95% CI = 1.173, 2.061).Conclusions. As consumer products, in observational studies, e-cigarettes were not associated with increased smoking cessation in the adult population. In RCTs, provision of free e-cigarettes as a therapeutic intervention was associated with increased smoking cessation.Public Health Implications. E-cigarettes should not be approved as consumer products but may warrant consideration as a prescription therapy.

Effects of e-cigarette use on cigarette smoking among U.S. youth, 2004-2018.

OBJECTIVE: To determine if the declining trend in U.S. youth cigarette smoking changed after e-cigarettes were introduced, and if youth e-cigarette users would have been likely to smoke cigarettes based on psychosocial and demographic predictors of smoking. METHODS: An interrupted time series analysis was used for cross-sectional data from the 2004 to 2018 National Youth Tobacco Surveys (NYTS) to assess changes in cigarette and e-cigarette use over time. A multivariable logistic regression model used 2004-2009 NYTS data on psychosocial risk factors to predict individual-level cigarette smoking risk from 2011 to 2018. Model-predicted and actual cigarette smoking behavior were compared. RESULTS: The decline in current cigarette smoking slowed in 2014 (-0.75 [95% CI: -0.81, -0.68] to -0.26 [95% CI: -0.40, -0.12] percentage points per year). The decline in ever cigarette smoking accelerated after 2012 (-1.45 [95% CI: -1.59, -1.31] to -1.71 [95% CI: -1.75, -1.66]). Ever and current combined cigarette and/or e-cigarette use declined during 2011-2013 and increased during 2013-2014 with no significant change during 2014-2018 for either variable. The psychosocial model estimated that 69.0% of current cigarette smokers and 9.3% of current e-cigarette users (who did not smoke cigarettes) would smoke cigarettes in 2018. CONCLUSIONS: The introduction of e-cigarettes was followed by a slowing decline in current cigarette smoking, a stall in combined cigarette and e-cigarette use, and an accelerated decline in ever cigarette smoking. Traditional psychosocial risk factors for cigarette smoking suggest that e-cigarette users do not fit the traditional risk profile of cigarette smokers.

Smoking is associated with worse outcomes of COVID-19 particularly among younger adults: a systematic review and meta-analysis.

BACKGROUND: Smoking impairs lung immune function and damages upper airways, increasing risks of contracting and severity of infectious diseases. This paper quantifies the association between smoking and COVID-19 disease progression. METHODS: We searched PubMed and Embase for studies published from January 1-May 25, 2020. We included studies reporting smoking behavior of COVID-19 patients and progression of disease, including death. We used random effects meta-analysis, meta-regression and locally weighted regression and smoothing to examine relationships in the data. RESULTS: We identified 46 peer-reviewed papers with a total of 22,939 COVID-19 patients, 5421 (23.6%) experienced disease progression and 2914 (12.7%) with a history of smoking (current and former smokers). Among those with a history of smoking, 33.5% experienced disease progression, compared with 21.9% of non-smokers. The meta-analysis confirmed an association between ever smoking and COVID-19 progression (OR 1.59, 95% CI 1.33-1.89, p = 0.001). Ever smoking was associated with increased risk of death from COVID-19 (OR 1.19, 95% CI 1.02-1.39, p = 0.003). We found no significant difference (p = 0.864) between the effects of ever smoking on COVID-19 disease progression between adjusted and unadjusted analyses, suggesting that smoking is an independent risk factor for COVID-19 disease progression. We also found the risk of having COVID-19 progression higher among younger adults (p = 0.001), with the effect most pronounced among younger adults under about 45 years old. CONCLUSIONS: Smoking is an independent risk for having progression of COVID-19, including mortality. The effects seem to be higher among young people. Smoking prevention and cessation should remain a priority for the public, physicians, and public health professionals during the COVID-19 pandemic.

The Association Between Secondhand Smoke Exposure and Survival for Patients With Heart Failure.

BACKGROUND: The effect of secondhand tobacco smoke (SHS) exposure on patients with heart failure (HF) is uncertain. We investigated the association of mortality with SHS exposure for patients with HF. METHODS: Nonsmokers with clinical HF were enrolled from 2003 to 2008 in a single-center longitudinal cohort study. The effect of SHS exposure determined by high-sensitivity urinary cotinine on mortality was estimated by multivariable proportional hazards modeling. RESULTS: Mortality was assessed after median 4.3 years. Of 202 patients, enrollment urinary cotinine levels were below the limit of detection for 106 (52%) considered unexposed to SHS. The median detectable cotinine was 0.47 ng/mL (interquartile range: [0.28, 1.28]). Participants were 41% female, 65 ± 17 years old, and 57% white race. Elevated cotinine was associated with increased mortality after multivariate adjustment: hazard ratio (HR) per 1 ng/mL increase in urinary cotinine: 1.15, 95% confidence interval (CI): 1.08-1.23, P < .001. Higher age (HR per 5-year increase: 1.32, 95% CI: 1.22-1.43, P < .001), male sex (HR vs female: 1.52, 95% CI: 1.02-2.28, P = .040), and New York Heart Association class (HR for class III vs I: 2.91, 95% CI: 1.71-4.99, P < .001) were also associated with mortality. CONCLUSIONS: SHS exposure is associated with a dose-dependent increase in mortality for patients with HF.

Sugar industry sponsorship of germ-free rodent studies linking sucrose to hyperlipidemia and cancer: An historical analysis of internal documents.

In 1965, the Sugar Research Foundation (SRF) secretly funded a review in the New England Journal of Medicine that discounted evidence linking sucrose consumption to blood lipid levels and hence coronary heart disease (CHD). SRF subsequently funded animal research to evaluate sucrose's CHD risks. The objective of this study was to examine the planning, funding, and internal evaluation of an SRF-funded research project titled "Project 259: Dietary Carbohydrate and Blood Lipids in Germ-Free Rats," led by Dr. W.F.R. Pover at the University of Birmingham, Birmingham, United Kingdom, between 1967 and 1971. A narrative case study method was used to assess SRF Project 259 from 1967 to 1971 based on sugar industry internal documents. Project 259 found a statistically significant decrease in serum triglycerides in germ-free rats fed a high sugar diet compared to conventional rats fed a basic PRM diet (a pelleted diet containing cereal meals, soybean meals, whitefish meal, and dried yeast, fortified with a balanced vitamin supplement and trace element mixture). The results suggested to SRF that gut microbiota have a causal role in carbohydrate-induced hypertriglyceridemia. A study comparing conventional rats fed a high-sugar diet to those fed a high-starch diet suggested that sucrose consumption might be associated with elevated levels of beta-glucuronidase, an enzyme previously associated with bladder cancer in humans. SRF terminated Project 259 without publishing the results. The sugar industry did not disclose evidence of harm from animal studies that would have (1) strengthened the case that the CHD risk of sucrose is greater than starch and (2) caused sucrose to be scrutinized as a potential carcinogen. The influence of the gut microbiota in the differential effects of sucrose and starch on blood lipids, as well as the influence of carbohydrate quality on beta-glucuronidase and cancer activity, deserve further scrutiny.

Transferring Racial/Ethnic Marketing Strategies From Tobacco to Food Corporations: Philip Morris and Kraft General Foods.

Objectives. To investigate the transfer of marketing knowledge and infrastructure for targeting racial/ethnic minorities from the tobacco to the food and beverage industry in the United States.Methods. We analyzed internal industry documents between April 2018 and April 2019 from the University of California San Francisco Truth Tobacco Industry Documents Library, triangulated with other sources.Results. In the 1980s, Philip Morris Companies purchased General Foods and Kraft Foods and created Kraft General Foods. Through centralized marketing initiatives, Philip Morris Companies directly transferred expertise, personnel, and resources from its tobacco to its food subsidiaries, creating a racial/ethnic minority-targeted food and beverage marketing program modeled on its successful cigarette program. When Philip Morris Companies sold Kraft General Foods in 2007, Kraft General Foods had a "fully integrated" minority marketing program that combined target marketing with racial/ethnic events promotion, racial/ethnic media outreach, and corporate donations to racial/ethnic leadership groups, making it a food industry leader.Conclusions. The tobacco industry directly transferred racial/ethnic minority marketing knowledge and infrastructure to food and beverage companies. Given the substantial growth of food and beverage corporations, their targeting of vulnerable populations, and obesity-related disparities, public policy and community action is needed to address corporate target marketing.

Smoking Is Associated With COVID-19 Progression: A Meta-analysis.

INTRODUCTION: Smoking depresses pulmonary immune function and is a risk factor contracting other infectious diseases and more serious outcomes among people who become infected. This paper presents a meta-analysis of the association between smoking and progression of the infectious disease COVID-19. METHODS: PubMed was searched on April 28, 2020, with search terms "smoking", "smoker*", "characteristics", "risk factors", "outcomes", and "COVID-19", "COVID", "coronavirus", "sar cov-2", "sar cov 2". Studies reporting smoking behavior of COVID-19 patients and progression of disease were selected for the final analysis. The study outcome was progression of COVID-19 among people who already had the disease. A random effects meta-analysis was applied. RESULTS: We identified 19 peer-reviewed papers with a total of 11,590 COVID-19 patients, 2,133 (18.4%) with severe disease and 731 (6.3%) with a history of smoking. A total of 218 patients with a history of smoking (29.8%) experienced disease progression, compared with 17.6% of non-smoking patients. The meta-analysis showed a significant association between smoking and progression of COVID-19 (OR 1.91, 95% confidence interval [CI] 1.42-2.59, p = 0.001). Limitations in the 19 papers suggest that the actual risk of smoking may be higher. CONCLUSIONS: Smoking is a risk factor for progression of COVID-19, with smokers having higher odds of COVID-19 progression than never smokers. IMPLICATIONS: Physicians and public health professionals should collect data on smoking as part of clinical management and add smoking cessation to the list of practices to blunt the COVID-19 pandemic.

Tobacco Industry Promotions and Pricing After Tax Increases: An Analysis of Internal Industry Documents.

BACKGROUND: Increasing tobacco taxes, and through them, prices, is an effective public health strategy to decrease tobacco use. The tobacco industry has developed multiple promotional strategies to undercut these effects; this study assessed promotions directed to wholesalers and retailers and manufacturer price changes that blunt the effects of tax and price increases. METHODS: We reviewed tobacco industry documents and contemporaneous research literature dated 1987 to 2016 to identify the nature, extent, and effectiveness of tobacco industry promotions and price changes used after state-level tobacco tax increases. RESULTS: Tobacco companies have created promotions to reduce the effectiveness of tobacco tax increases by encouraging established users to purchase tobacco in lower-tax jurisdictions and sometimes lowering manufacturer pricing to "undershift" smaller tax increases, so that tobacco prices increased by less than the amount of the tax. CONCLUSIONS: Policymakers should address industry efforts to undercut an effective public health intervention through regulating minimum prices, limiting tobacco industry promotions, and by enacting tax increases that are large, immediate, and result in price increases. IMPLICATIONS: Tobacco companies view excise tax increases on tobacco products as a critical business threat. To keep users from quitting or reducing tobacco use in response to tax increases, they have shifted manufacturer pricing and developed specific promotions that encourage customers to shop for lower-taxed products. Health authorities should address tobacco industry efforts to undercut the effects of taxes by regulating prices and promotions and passing large and immediate tax increases.

Estimating the long-run relationship between state cigarette taxes and county life expectancy.

INTRODUCTION: While a large body of literature suggests that tobacco control legislation-including fiscal measures such as excise taxes-effectively reduces tobacco smoking, the long-run (10+ years) relationship between cigarettes excise taxes and life expectancy has not been directly evaluated. Here, we test the hypothesis that increases in state cigarette excise taxes are positively associated with long-run increases in population-level life expectancy. METHODS: We studied age-standardised life expectancy among all US counties from 1996 to 2012 by sex, in relation to state cigarette excise tax rates by year, controlling for other demographic, socioeconomic and county-specific features. We used an error-correction model to assess the long-run relationship between taxes and life expectancy. We additionally examine whether the relationship between cigarette taxes and life expectancy was mediated by changes to county smoking prevalence and varied by the sex, income and rural/urban composition of a county. RESULTS: For every one-dollar increase in cigarette tax per pack (in 2016 dollars), county life expectancy increased by 1 year (95% CI 0.60 to 1.40 years) over the long run, with the first 6-month increase in life expectancy taking 10 years to materialise. The association was mediated by changes in smoking prevalence and the magnitude of the association steadily increased as county income decreased. CONCLUSIONS: Results suggest that increasing cigarette excise tax rates translates to consequential population-level improvements in life expectancy, with larger effects in low-income counties.

Net Effect of Young Adult Dual Combusted Cigarette and E-Cigarette Users' Anticipated Responses to Hypothetical E-Cigarette Marketing Restrictions.

Background: Dual use of e-cigarettes and cigarettes is common among young adults. Earlier research has used an internet panel to assess anticipated effects of eliminating nicotine, flavors (except menthol), and customizable e-cigarettes on predicted changes in e-cigarette and cigarette consumption. This earlier analysis showed that all these policies were predicted to lower e-cigarette consumption and increase cigarette consumption among these dual users. The earlier analysis, did not, however, estimate the net effect of these policies considering both lowered and increased consumption. Methods: We computed the net effects of these policies as the difference between people predicting quitting or using cigarettes less and those predicting that they would use them more. The same calculations were done for e-cigarettes. Significance testing was done with z-tests. Results: As expected, the net effect of all three policies was to significantly lower e-cigarette consumption. The net effect was to also lower cigarette consumption for eliminating nicotine and flavors in e-cigarettes, with no significant net effect of eliminating modifiable e-cigarettes. Conclusion: Eliminating nicotine and flavors from e-cigarettes is predicted to lower cigarette as well as e-cigarette consumption.

The Grassroots of Grass: Cannabis Legalization Ballot Initiative Campaign Contributions and Outcomes, 2004-2016.

CONTEXT: As of November 2018, medical cannabis was legal in 33 US states and recreational cannabis in 10, mostly enacted via ballot initiative. METHODS: We identified 32 cannabis legalization initiatives from 2004 to 2016 and obtained campaign contribution and state political and demographic data. After exploratory analyses of 15 potential independent variables, we quantified effects of 4 factors (initiative year, voter turnout, population born before 1946, advocate funding advantage) on voter support and likelihood of passage. FINDINGS: A small number of campaign contributors dominated both sides of the issue, with little involvement by health advocates. Time and turnout, not money, were the factors most associated with electoral outcomes, consistent with increases in public opinion favoring cannabis legalization over time. Year, turnout, and population age were associated with voter support, while year, turnout, and advocate funding advantage were associated with likelihood of passage. When adjusting for an anomalous result, initiative year was the only variable that remained significantly associated with odds of passage, with a 1-year increase in initiative date associated with 2.02 times higher odds of passage (p < .01). CONCLUSION: These results underscore the importance of health advocate participation in developing cannabis legalization frameworks.

Conflict of Interest Provisions in State Laws Governing Medical and Adult Use Cannabis.

Although the acceleration of cannabis legalization in the United States has spurred innovations in public administration and policymaking, there have been news accounts of public employees engaged in cannabis licensure or enforcement that constitute conflicts of interest (COIs). After conducting 3 surveys in 50 states (including Washington, DC as a state), we found that COI provisions pertaining to cannabis-related public employment fell into 2 categories: subject matter general and cannabis specific. Only 20% (6/30) of the states that legalized medical cannabis had COI provisions in their medical cannabis codes, whereas the remaining 80% rely on subject matter general provisions relating to all areas of regulated subject matter, highlighting the need for thoughtful creation of COI rules in future policymaking. By contrast, 88% (7/8) of states that have legalized adult use cannabis put their COI provisions directly in their cannabis codes or regulations. Governments should enact cannabis-specific COI policies applicable to broadly defined categories of public employees that are responsive to the unique context of bringing cannabis from the black market into the regulated market.

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.

Tobacco Use in Top-Grossing Movies - United States, 2010-2018.

The Surgeon General has concluded that there is a causal relationship between depictions of smoking in movies and initiation of smoking among young persons (1). Youths heavily exposed to onscreen smoking imagery are more likely to begin smoking than are those with minimal exposure (1,2). To assess tobacco-use imagery in top-grossing youth-rated movies (General Audiences [G], Parental Guidance [PG], and Parents Strongly Cautioned [PG-13]),* 2010-2018 data from the Breathe California Sacramento Region and University of California-San Francisco's Onscreen Tobacco Database were analyzed.† The percentage of all top-grossing movies with tobacco incidents remained stable from 2010 (45%) to 2018 (46%), including youth-rated movies (31% both years). However, total tobacco incidents increased 57% from 2010 to 2018, with a 120% increase in PG-13 movies. Tobacco incidents in PG-13 fictional movies declined 57% from 511 in 2010 to an all-time low of 221 in 2018. Although the number of PG-13 fictional movies with tobacco incidents declined 40% during 2010-2018, the number of PG-13 biographical dramas with tobacco incidents increased 233%. In 2018, biographical dramas accounted for most tobacco incidents, including 82% of incidents in PG-13 movies; 73% of characters who used tobacco in these biographical dramas were fictional. Continued efforts could help reduce tobacco incidents in top-grossing movies, particularly in PG-13 biographical dramas, to help prevent youth smoking initiation.

Similar softening across different racial and ethnic groups of smokers in California as smoking prevalence declined.

Smoking prevalence differs among different racial/ethnic groups. Previous research found that as smoking prevalence declined in the U.S., remaining smokers made more quit attempts and smoked fewer cigarettes per day (CPD), indicating so-called softening. We examined California, a state with a highly diverse population, to assess whether there is differential softening among remaining smokers in different racial/ethnic groups. We used the California Tobacco Survey (1990-2008, N: 145,128). We ran logistic and linear regressions for smoking prevalence, CPD, quit attempts and time to first cigarette (30 min) as a function of race/ethnicity (non-Hispanic White, Hispanic, African American, Japanese, Chinese, Filipino, Korean, other Asian/Pacific Islander, American Indian/Alaska Native) controlling for other demographics. Overall prevalence fell from 21.1% in 1990 to 12.3% in 2008 (p < 0.01), showing similar declining trends across all racial/ethnic groups (p = 0.44), albeit from different baseline prevalence levels. In terms of softening indicators the proportion with at least one quit attempt in the past 12 months increased from 46.2% to 59.3%, a factor of 1.25 per decade (95%CI = 1.17, 1.34) in the adjusted model. CPD declined from 16.9 to 10.9, by -2.95 CPD per decade (95%CI = -3.24, -2.67) in the adjusted model. There were no significant changes in the time to first cigarette. Interactions of race/ethnicity and time show similar trends among all subgroups expect Hispanics, whose CPD remained stable rather than declining. Although from different baseline levels, tobacco control policies have benefitted all subgroups of California smokers, exhibiting similar softening as prevalence fell. Interventions are still needed to reduce the baseline differences.

Exposure to household tobacco smoke and risk of cancer morbidity and mortality: Analysis of data from the Afghanistan Demographic and Health Survey 2015.

Active and secondhand tobacco exposures are major causes of cancer. Cancer prevention efforts are particularly relevant in resource-constrained settings in which significant barriers to early detection and cancer treatments contribute to poor outcomes. We assess the associations between exposure to household tobacco smoke and cancer morbidity and mortality. We used household data from Afghanistan Demographic and Health Survey, which was a national cross-sectional survey that applied a two-stage stratified random sampling technique in 2015 and 2016. We performed regression analysis to estimate associations between exposure to household tobacco smoke and cancer morbidity and mortality at the household level. Exposure to household tobacco smoke was significantly associated with household reports of a history of any cancer (Adjusted Odds Ratio (AOR): 1.90; 95% Confidence Interval (CI): 1.44, 2.51), breast cancer (1.59; 1.00, 2.55), lung cancer (2.88; 1.58, 5.27), and liver cancer (2.56; 1.10, 5.96), compared to households with no tobacco smoke exposure. These associations persisted after controlling for household location, wealth index, type of cooking fuel used in house, and location of food preparation. Households in a rural location experienced significantly higher mortality of any cancer (4.40; 95% CI: 1.57, 12.38), breast cancer (2.91; 1.02, 8.25), and liver cancer (3.91; 1.29, 11.89) vs. those in an urban location. Exposure to household tobacco smoke is a risk factor for cancer morbidity in Afghanistan. Strategies to implement comprehensive smoking cessation and smoke free housing policies are urgently needed as primary cancer prevention strategy in Afghanistan and comparable resource-constrained settings.