National assessment of recommendations from healthcare providers for smoking cessation among adults with cancer

Cancer survivors benefit from evidence-based smoking cessation treatment. A crucial first step in this process is a clinician recommending that the patient quit smoking. However, contemporary delivery of advice to quit among patients with cancer is not well known. In a cross-sectional analysis of all adult smokers included in a prospective population-representative study of US adults, we analyzed the frequency that patients reported receiving advice to quit smoking from a healthcare professional according to reported cancer history (no cancer, tobacco-related cancer, non-tobacco related cancer history). Among an estimated 28.3 million smokers, 9.3% reported a history of cancer, 48.8% of which were tobacco-related cancers. In general, advice to quit was reported by more (67.8%) cancer survivors than those adults without any cancer (56.0%). After adjustment for sociodemographic factors, smokers with a non tobacco-related cancer (0.51, 95% CI 0.32–0.83) and those without any cancer history (0.43, 95% CI 0.30–0.63) were both less likely to report being advised to quit smoking than patients with a tobacco-related cancer history.     

Global methylation profiles in buccal cells of long-term smokers and moist snuff consumers

Abstract

Purpose: Alternations in gene methylation and other epigenetic changes regulate normal development as well as drive disease progression. The aim of this study is to investigate global methylation changes in the buccal cells of smokers and smokeless tobacco users.

Materials and methods: Generally healthy adult male subjects were recruited into smoker (SMK), moist snuff consumer (MSC) and non-tobacco consumer (NTC) cohorts (40 subjects/cohort) (ClinicalTrials.gov Identifier: NCT01923402). Global methylation profiling was performed on Illumina 450?K methylation arrays using buccal cell DNAs.

Results: The SMK cohort exhibited larger qualitative and quantitative changes relative to MSC. Approximately half of the differentially methylated 1252 gene loci were grouped as combustible tobacco-related (CTR) signatures and a third of the changes, tobacco-related (TR) signatures, were associated with smoking. Very few (41) differentially methylated gene loci were exclusively associated with moist snuff use and were designated as moist snuff-related (MSR) signature. Pathway enrichment analyses revealed that developmental and immune response pathways, among others, were impacted due to tobacco use.

Conclusions: Chronic cigarette smoking causes hyper- and hypo-methylation of genes that could contribute to smoking-related diseases. These results help place combustible and non-combustible tobacco products along a risk continuum and provide additional insights into the effects of tobacco consumption.     

Electronic Cigarette Use among Irish Youth: A Cross Sectional Study of Prevalence and Associated Factors

PurposeTo examine prevalence of, and factors associated with, e-cigarette use among young people aged 16-17 in Ireland.MethodsIn 2014, a representative sample of 821 young people aged 16-17 recruited from secondary schools completed a pen and paper survey on e-cigarette use, tobacco use, and socio-demographic items.FindingsA total of 23.8% of respondents had used e-cigarettes at least once. Dual trial of tobacco and e-cigarettes was common with 69.5% of regular smokers and 30.4% of ‘ever’ smokers having tried e-cigarettes and 10.6% of current smokers using e-cigarettes regularly. 4.2% of never smokers have tried e-cigarettes. Overall, current e-cigarette use (once a month or more) was low (3.2%). Binary logistic regression conducted through generalized estimating equations (GEE) determined that controlling for other variables, current tobacco use and ‘ever’ tobacco use predicted ever e-cigarette use. Gender and school-level socioeconomic status were also independent predictors of ever e-cigarette use. Gender stood as the only predictor of on-going e-cigarette use, with males being more likely to regularly use e-cigarettes at least once a month.ConclusionsE-cigarette use among 16-17 year olds in Ireland is of note, with nearly a quarter of students having tried them. Concurrent or experimental use of e-cigarettes and tobacco is more common than sole use, while a small number have tried e-cigarettes without having tried tobacco.     

Association of electronic cigarette use with lead,cadmium, barium,and antimony body burden: NHANES 2015-2016

BackgroundExposure of toxic metals from e-cigarette use is a cause for public health concern because youth, young adults, and non-smokers are the target population rapidly adopting e-cigarette use. The purpose of this research is to determine the association of the body burden of heavy metals with e-cigarette use using NHANES (U.S.) 2015–2016 data.MethodsBlood lead (N = 1899) and urinary cadmium, barium, and antimony (N = 1302) data were extracted from NHANES, 2015–2016; geometric means were calculated and bivariate and multivariable linear regression analyses were conducted. Participants were categorized as having neither e-cigarette nor cigarette use; smoking history (including dual use with e-cigarettes); and only e-cigarette (current or former).ResultsIn multivariable analyses adjusted for sex, race/ethnicity, age, and poverty levels, current or former e-cigarette use failed to reach a statistical significance in the association with metals. However, participants with a smoking history were more likely to have higher blood lead and urinary cadmium than participants who neither used e-cigarettes nor cigarettes.ConclusionBlood lead levels, and urinary cadmium, barium, and antimony levels were similar between participants who used e-cigarettes and participants who did not.     

Respiratory effects of non-tobacco cigarettes.

Data from the Tucson epidemiological study of airways obstructive disease on smoking of non-tobacco cigarettes such as marijuana were analysed to determine the effect of such smoking on respiratory symptoms and pulmonary function. Among adults aged under 40, 14% had smoked non-tobacco cigarettes at some time and 9% were current users. The prevalence of respiratory symptoms was increased in smokers of non-tobacco cigarettes. After tobacco smoking had been controlled for men who smoked non-tobacco cigarettes showed significant decreases in expiratory flow rates at low lung volumes and in the ratio of the forced expiratory volume in one second to the vital capacity. This effect on pulmonary function in male non-tobacco cigarette smokers was greater than the effect of tobacco cigarette smoking. These data suggest that non-tobacco cigarette smoking may be an important risk factor in young adults with respiratory symptoms or evidence of airways obstruction.     

Perceptions of e-cigarette harm among cancer survivors: Findings from a nationally representative survey

BackgroundThe growth in e-cigarette use may be driven by the perception that they are a safer, healthier alternative to conventional cigarettes. However, their long-term health implications are not well known and use is discouraged by most cancer societies. It is currently unclear how cancer survivors perceive the risks associated with e-cigarette and how this may influence use in this population.MethodsA cross-sectional analysis was conducted using the Health Information National Trends Survey (HINTS) (Years 2017–2019). Our primary study outcome was the perception of harm associated with e-cigarettes compared to traditional cigarettes among adults with and without a self-reported history of cancer. We used logistic regression analyses assessing the association of a cancer history with the perception that e-cigarettes are as much or more harmful than cigarettes.ResultsA total of 11,846 respondents (weighted population estimate 243,728,483) were included. Of these, 26.6% reported a history of cancer. The proportion of cancer survivors who perceived e-cigarettes to be as much or more harmful than conventional cigarettes was similar to non-cancer respondents (70.6% vs 68.3%, P = 0.35). There was no difference in perception of harm among cancer and non-cancer respondents, adjusted for sociodemographic factors (OR 0.82, 95% CI 0.6–1.1). Past (OR 9.06, 95% Cl 5.06–16.20) and never e-cigarette use (OR 23.40, 95% Cl 13.56–40.38) as well as having a history of cardiopulmonary disease (OR 1.28, 95% Cl 1.05–1.56) was associated with higher odds of perceiving e-cigarettes to be as much or more harmful.ConclusionCancer survivors commonly perceive e-cigarettes to be as much or more harmful than traditional cigarettes though these findings are similar to perceptions among adults without a history of cancer. There is a strong association with avoidance of e-cigarette products among those who perceive them to be harmful.     

Burden of cancer attributable to tobacco smoking in member countries of the Association of Southeast Asian Nations (ASEAN), 2012

BackgroundCancer is an increasing problem in ASEAN (Association of Southeast Asian Nations). Tobacco use is a well-established risk factor for many types of cancers. Evidence on burden of cancer attributable to tobacco is essential to raise public and political awareness of the negative effects of tobacco on cancer and to be used to stimulate political action aims at reducing smoking prevalence in ASEAN member countries. The objective of this study was to estimate burden of cancer attributable to tobacco smoking in ASEAN, 2012.MethodsIn this study, smoking prevalence was combined with Relative Risks (RRs) of cancer to obtain Smoking Attributable Fractions (SAFs). Cancer incidence and mortality data among individuals aged 15 years and older were derived from GLOBOCAN 2012. Fourteen types of cancer were included in the analysis. Sensitivity analyses were conducted to examine the impact of the use of alternative RRs and the use of alternative prevalence of smoking in some countries.ResultsThe findings showed that tobacco smoking was responsible for 131,502 cancer incidence and 105,830 cancer mortality in ASEAN countries in 2012. In other words, tobacco smoking was accounted for 28.4% (43.3% in male and 8.5% in female) of cancer incidence and 30.5% (44.2% in male and 9.4% in female) of cancer mortality in ASEAN. When looking at the types of cancer, lung cancer showed the strongest association with tobacco smoking. Incidence of cancer and cancer mortality attributable to tobacco smoking varied by countries due to the differences in size of population, background risk of cancer, and prevalence of smoking in each country. According to the sensitivity analyses, RRs of lung cancer, pharynx cancer, and larynx cancer used in the estimates have significant impact on the estimates.ConclusionsAs about one-third of cancer incidence and mortality in ASEAN are attributable to tobacco smoking ASEAN member countries are strongly encouraged to put in place stronger tobacco control policies and to strengthen the existing tobacco control measure in order to effectively control cancer.     

A Prospective Study of Tobacco Smoking and Mortality in Bangladesh

Background

Limited data are available on smoking-related mortality in low-income countries, where both chronic disease burden and prevalence of smoking are increasing.

Methods

Using data on 20, 033 individuals in the Health Effects of Arsenic Longitudinal Study (HEALS) in Bangladesh, we prospectively evaluated the association between tobacco smoking and all-cause, cancer, and cardiovascular disease mortality during ∼7.6 years of follow-up.Cox proportional hazards models were used to estimate hazard ratios (HRs) and their 95% confidence intervals (CIs) for deaths from all-cause, cancer, CVD, ischemic heart disease (IHD), and stroke, in relation to status, duration, and intensity of cigarette/bidi and hookah smoking.

Results

Among men, cigarette/bidi smoking was positively associated with all-cause (HR 1.40, 95% CI 1.06 1.86) and cancer mortality (HR 2.91, 1.24 6.80), and there was a dose-response relationship between increasing intensity of cigarette/bidi consumption and increasing mortality. An elevated risk of death from ischemic heart disease (HR 1.87, 1.08 3.24) was associated with current cigarette/bidi smoking. Among women, the corresponding HRs were 1.65 (95% CI 1.16 2.36) for all-cause mortality and 2.69 (95% CI 1.20 6.01) for ischemic heart disease mortality. Similar associations were observed for hookah smoking. There was a trend towards reduced risk for the mortality outcomes with older age at onset of cigarette/bidi smoking and increasing years since quitting cigarette/bibi smoking among men. We estimated that cigarette/bidi smoking accounted for about 25.0% of deaths in men and 7.6% in women.

Conclusions

Tobacco smoking was responsible for substantial proportion of premature deaths in the Bangladeshi population, especially among men. Stringent measures of tobacco control and cessation are needed to reduce tobacco-related deaths in Bangladesh.     

Association of genetic liability to smoking initiation with e-cigarette use in young adults: A cohort study

BackgroundTobacco smoking and e-cigarette use are strongly associated, but it is currently unclear whether this association is causal, or due to shared factors that influence both behaviours such as a shared genetic liability. The aim of this study was to investigate whether polygenic risk scores (PRS) for smoking initiation are associated with ever use of e-cigarettes.Methods and findingsSmoking initiation PRS were calculated for young adults (N = 7,859, mean age = 24 years, 51% male) of European ancestry in the Avon Longitudinal Study of Parents and Children, a prospective birth cohort study initiated in 1991. PRS were calculated using the GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN) summary statistics. Five thresholds ranging from 5 × 10⁻⁸ to 0.5 were used to calculate 5 PRS for each individual. Using logistic regression, we investigated the association between smoking initiation PRS and the main outcome, self-reported e-cigarette use (n = 2,894, measured between 2016 and 2017), as well as self-reported smoking initiation and 8 negative control outcomes (socioeconomic position at birth, externalising disorders in childhood, and risk-taking in young adulthood). A total of 878 young adults (30%) had ever used e-cigarettes at 24 years, and 150 (5%) were regular e-cigarette users at 24 years. We observed positive associations of similar magnitude between smoking initiation PRS (created using the p < 5 × 10⁻⁸ threshold) and both smoking initiation (odds ratio (OR) = 1.29, 95% CI 1.19 to 1.39, p < 0.001) and ever e-cigarette use (OR = 1.24, 95% CI 1.14 to 1.34, p < 0.001) by the age of 24 years, indicating that a genetic predisposition to smoking initiation is associated with an increased risk of using e-cigarettes. At lower p-value thresholds, we observed an association between smoking initiation PRS and ever e-cigarette use among never smokers. We also found evidence of associations between smoking initiation PRS and some negative control outcomes, particularly when less stringent p-value thresholds were used to create the PRS, but also at the strictest threshold (e.g., gambling, number of sexual partners, conduct disorder at 7 years, and parental socioeconomic position at birth). However, this study is limited by the relatively small sample size and potential for collider bias.ConclusionsOur results indicate that there may be a shared genetic aetiology between smoking and e-cigarette use, and also with socioeconomic position, externalising disorders in childhood, and risky behaviour more generally. This indicates that there may be a common genetic vulnerability to both smoking and e-cigarette use, which may reflect a broad risk-taking phenotype.

Jasmine Khouja and co-workers study genetic predictors of tobacco smoking initiation and e-cigarette use.     

Are SNP-Smoking Association Studies Needed in Controls? DNA Repair Gene Polymorphisms and Smoking Intensity

Variations in tobacco-related cancers, incidence and prevalence reflect differences in tobacco consumption in addition to genetic factors. Besides, genes related to lung cancer risk could be related to smoking behavior. Polymorphisms altering DNA repair capacity may lead to synergistic effects with tobacco carcinogen-induced lung cancer risk. Common problems in genetic association studies, such as presence of gene-by-environment (G x E) correlation in the population, may reduce the validity of these designs. The main purpose of this study was to evaluate the independence assumption for selected SNPs and smoking behaviour in a cohort of 320 healthy Spanish smokers. We found an association between the wild type alleles of XRCC3 Thr241Met or KLC3 Lys751Gln and greater smoking intensity (OR = 12.98, 95% CI = 2.86–58.82 and OR=16.90, 95% CI=2.09-142.8; respectively). Although preliminary, the results of our study provide evidence that genetic variations in DNA-repair genes may influence both smoking habits and the development of lung cancer. Population-specific G x E studies should be carried out when genetic and environmental factors interact to cause the disease.     

Electronic Cigarette and Traditional Cigarette Use among Middle and High School Students in Florida, 2011–2014

Recent youth trends in the prevalence of e-cigarette and traditional cigarette use in Florida were examined in a cross-sectional, representative state sample from 2011 to 2014. Traditional cigarette use among youth declined during the study period. Experimentation with and past 30-day use of e-cigarettes among Florida youth tripled over 4 years. Past 30-day e-cigarette use exceeded traditional cigarette use in 2014; 10.8% of high school and 4.0% of middle school students reported recent e-cigarette use, compared with 8.7% of high school and 2.9% of middle school students for traditional cigarettes (P<0.001). By 2014, 20.5% of high school and 8.5% of middle school students reported ever use of e-cigarettes. Among ever e-cigarette users in 2014, 30.3% of high school and 42.2% of middle school students had never smoked traditional cigarettes. Given the concern that significant rates of e-cigarette use by U.S. adolescents may have a negative effect on public health, further review of e-cigarette advertising, marketing, sales, and use among U.S. youth is warranted.     

Transition of cancer in populations in India

Background & objectivesAn assessment of transition of cancer in India during the past 30 years, according to changes in demographic and epidemiologic risk factors was undertaken.Materials & methodsCancer registry data (http://www.ncdirindia.org), (population coverage <10%), was compared with transition in life-expectancy and prevalence on smoking, alcohol and obesity. We fitted linear regression to the natural logarithm of the estimated incidence rates of various cancer registries in India.ResultsBurden of cancer in India increased from 0.6 million in 1991 to 1.4 million in 2015. Among males, common cancers are lung (12.0%), mouth (11.4%), prostate (7.0%), and tongue (7.0%) and among females, they are breast (21.0%), cervix-uteri (12.1%), ovary (6.9%), and lung (4.9%) in 2012. Increased life-expectancy and population growth as well as increased use of alcohol and increased prevalence of overweight/obesity reflected an increase in all cancers in both genders except a reduction in infection-related cancers such as cervix-uteri and tobacco-related cancers such as pharynx (excludes nasopharynx) and oesophagus.Interpretation & conclusionTransition in demographics and epidemiologic risk factors, reflected an increase in all cancers in both genders except a reduction in a few cancers. The increasing incidence of cancer and its associated factors demands a planned approach to reduce its burden. The burden assessment needs to be strengthened by increasing the population coverage of cancer registries. Continued effort for tobacco prevention and public health efforts for reducing obesity and alcohol consumption are needed to reduce the cancer burden.     

Effect of tobacco chewing,tobacco smoking and alcohol on all-cause and cancer mortality: A cohort study from Trivandrum,India

Objective: To study the risk of all-cause, cancer and tobacco-related cancer mortality associated with tobacco chewing, tobacco smoking and alcohol use. Design: Prospective community-based cohort study initiated in 1996. Participants: 167 343 adult subjects, aged 34 and older, living in 13 panchayaths (rural municipal administrative units) in South India, were regularly followed-up for a mean duration of 6.5 years. Main outcome measures: Mortality from all-causes, all cancer and tobacco-related cancer. Results: The mortality risks associated with chewing (and 95% confidence intervals), after adjusting for age, sex, socio-economic and dietary variables, and for other habits, were 0.90 (0.86–0.94) for all-cause, 1.07 (0.94–1.22) for cancer and 1.22 (1.04–1.44) for tobacco-related cancer; with smoking the respective mortality risks were 1.31 (1.24–1.39), 1.63 (1.37–1.94) and 1.68 (1.36–2.08); and with alcohol use the risks were 1.13 (1.06–1.20), 1.32 (1.11–1.57) and 1.47 (1.19–1.80), respectively. Reduced risk of all-cause mortality by chewing was observed only in the 60–84 years old group (0.90 (0.85–0.94)), and detrimental effects of chewing on cancer mortality were shown in the young and middle-age groups: 34–39 years old (1.33 (0.67–2.65)), and 40–59 years old (1.26 (1.03–1.55)). Conclusion: Tobacco in any form and alcohol uses were harmful and a higher quality of life could be achieved by avoiding these habits. Given the demographic, epidemiological and economic transitions and changes in pattern of tobacco and alcohol use in India, the health loss from the tobacco and alcohol will grow even larger, unless effective interventions and policies to reduce these habits are implemented.     

Prevalence of Tobacco Use in Urban,Semi Urban and Rural Areas in and around Chennai City,India

Background

Tobacco use leads to many health complications and is a risk factor for the occurrence of cardio vascular diseases, lung and oral cancers, chronic bronchitis etc. Almost 6 million people die from tobacco-related causes every year. This study was conducted to measure the prevalence of tobacco use in three different areas around Chennai city, south India.

Methods

A survey of 7510 individuals aged > = 15 years was undertaken covering Chennai city (urban), Ambattur (semi-urban) and Sriperumbudur (rural) taluk. Details on tobacco use were collected using a questionnaire adapted from both Global Youth Tobacco Survey and Global Adults Tobacco Survey.

Results

The overall prevalence of tobacco use was significantly higher in the rural (23.7%) compared to semi-urban (20.9%) and urban (19.4%) areas (P value <0.001) Tobacco smoking prevalence was 14.3%, 13.9% and 12.4% in rural, semi-urban and urban areas respectively. The corresponding values for smokeless tobacco use were 9.5%, 7.0% and 7.0% respectively. Logistic regression analysis showed that the odds of using tobacco (with smoke or smokeless forms) was significantly higher among males, older individuals, alcoholics, in rural areas and slum localities. Behavioural pattern analysis of current tobacco users led to three groups (1) those who were not reached by family or friends to advice on harmful effects (2) those who were well aware of harmful effects of tobacco and even want to quit and (3) those are exposed to second hand/passive smoking at home and outside.

Conclusions

Tobacco use prevalence was significantly higher in rural areas, slum dwellers, males and older age groups in this region of south India. Women used mainly smokeless tobacco. Tobacco control programmes need to develop strategies to address the different subgroups among tobacco users. Public health facilities need to expand smoking cessation counseling services as well as provide pharmacotherapy where necessary.     

Association between Smoking and Latent Tuberculosis in the U.S. Population: An Analysis of the National Health and Nutrition Examination Survey

Background

Evidence of an association between cigarette smoking and latent tuberculosis infection (LTBI) is based on studies in special populations and/or from high prevalence settings. We sought to evaluate the association between LTBI and smoking in a low prevalence TB setting using population-based data from the National Health and Nutrition Examination Survey (NHANES).

Methods

In 1999–2000, NHANES assessed LTBI (defined as a tuberculin skin test measurement ≥10 mm) in participants, and those ≥20 years of age were queried regarding their tobacco use and serum cotinine was measured. We evaluated the association of LTBI with self-reported smoking history and smoking intensity in multivariable logistic regression models that adjusted for known confounders (gender, age, birthplace, race/ethnicity, poverty, education, history of BCG vaccination, and history of household exposure to tuberculosis disease).

Results

Estimated LTBI prevalence was 5.3% among those ≥20 years of age. The LTBI prevalence among never smokers, current smokers, and former smokers was 4.1%, 6.6%, and 6.2%, respectively. In a multivariable model, current smoking was associated with LTBI (OR 1.8; 95% CI, 1.1–2.9). The association between smoking and LTBI was strongest for Mexican-American and black individuals. In multivariate analysis stratified by race/ethnicity, cigarette packs per day among Mexican-American smokers and cotinine levels among black smokers, were significantly associated with LTBI.

Conclusions

In the large, representative, population-based NHANES sample, smoking was independently associated with significantly increased risks of LTBI. In certain populations, a greater risk of LTBI corresponded with increased smoking exposure.     

Current depression among adult cancer survivors: Findings from the 2010 Behavioral Risk Factor Surveillance System

BackgroundA cancer diagnosis and subsequent treatments constitute a significantly increased psychological burden among cancer patients. This study examined the prevalence of current depression and the risk factors associated with a high burden of depression among cancer survivors in the US.MethodsWe analyzed data from 3550 cancer survivors (aged ≥18 years) and 26,917 adults without cancer who participated in the 2010 Behavioral Risk Factor Surveillance System. Depressive symptoms were assessed by the Patient Health Questionnaire-8 diagnostic algorithm. Participants with a total depression severity score of ≥10 were defined as having current depression. Prevalence and prevalence ratios were estimated by conducting log-linear regression analysis while controlling for potential confounders.ResultsOverall, 13.7% of cancer survivors (vs. 8.9% of adults without cancer, P < 0.001) reported having current depression; the prevalence varied significantly by cancer category. Among cancer survivors, after multivariate adjustment for covariates, cancer diagnosis within a year, being in ‘other’ racial/ethnic group, divorced, separated, widowed, or never married, current or former smoker, or having histories of diabetes, disability, or depression were associated with significantly higher prevalence ratios for current depression; whereas being at an advanced age (≥60 years old), attaining educational levels of >high school graduate, or engaging in leisure-time physical activity were associated with significantly lower prevalence ratios for current depression.ConclusionOur results indicate that cancer survivors are at increased risk of current depression. Targeting cancer survivors at high risk of depressive issues may be especially important for clinical support and interventions aimed at improving mental well-being.     

Short- and long-term survival outcomes among never smokers who developed lung cancer

BackgroundLung cancer is the leading cause of cancer death in the US. While an extensive literature exists detailing lung cancer risk factors and mortality among patients with a history of tobacco use, the data are more limited among individuals who have never smoked. The purpose of this investigation is to compare survival rates between the two groups and evaluate potential risk factors among never smokers.MethodsThis retrospective study included 3380 smokers and 334 never smokers who were diagnosed with lung cancer at Stony Brook University Hospital between 2003 and 2016. 1-, 3-, 5- and 10-year survival outcomes, stratified by smoking status, were compared and Kaplan-Meier curves for overall survival are provided. Cox Proportional Hazard models were used to evaluate factors influencing survival among never smokers.ResultsNever smokers with lung cancer were more likely to be female, be diagnosed with adenocarcinoma histology, and had fewer comorbidities than lung cancer patients who smoked. Although 60% of patients were diagnosed at a later stage of disease development, regardless of smoking status, overall short- and long-term survival was significantly higher among never smokers compared to those with a history of tobacco use. In addition to age and stage at diagnosis, a history of diabetes was found to be a significant prognostic factor for decreased survival among never smokers (HR=3.15, 95% CI (1.74, 5.71)).ConclusionsData from the present investigation suggest that, regardless of smoking status, approximately three of every five lung cancer patients are diagnosed at a later stage, and that both short- and long-term survival outcomes are significantly better among never smokers compared to those with a history of tobacco use. Additional studies are required to validate these findings and better explain the mechanistic drivers for the improved outcomes among never smokers.     

Relationship of Smokefree Laws and Alcohol Use with Light and Intermittent Smoking and Quit Attempts among US Adults and Alcohol Users

IntroductionLight and intermittent smoking (LITS) has become increasingly common. Alcohol drinkers are more likely to smoke. We examined the association of smokefree law and bar law coverage and alcohol use with current smoking, LITS, and smoking quit attempts among US adults and alcohol drinkers.MethodsCross-sectional analyses among a population-based sample of US adults (n = 27,731) using restricted data from 2009 National Health Interview Survey and 2009 American Nonsmokers'' Rights Foundation United States Tobacco Control Database. Multivariate logistic regression models examined the relationship of smokefree law coverage and drinking frequency (1) with current smoking among all adults; (2) with 4 LITS patterns among current smokers; and (3) with smoking quit attempts among 6 smoking subgroups. Same multivariate analyses were conducted but substituted smokefree bar law coverage for smokefree law coverage to investigate the association between smokefree bar laws and the outcomes. Finally we ran the above analyses among alcohol drinkers (n = 16,961) to examine the relationship of smokefree law (and bar law) coverage and binge drinking with the outcomes. All models controlled for demographics and average cigarette price per pack. The interactions of smokefree law (and bar law) coverage and drinking status was examined.ResultsStronger smokefree law (and bar law) coverage was associated with lower odds of current smoking among all adults and among drinkers, and had the same effect across all drinking and binge drinking subgroups. Increased drinking frequency and binge drinking were related to higher odds of current smoking. Smokefree law (and bar law) coverage and drinking status were not associated with any LITS measures or smoking quit attempts.ConclusionsStronger smokefree laws and bar laws are associated with lower smoking rates across all drinking subgroups, which provides further support for these policies. More strict tobacco control measures might help reduce cigarette consumption and increase quit attempts.     

Health related quality of life in adult cancer survivors: Importance of social and emotional support

BackgroundAdult cancer survivors (ACS) are at increased risk for developing various comorbid conditions and having poor health-related quality of life (HRQOL) when compared to adults with no history of cancer. The effect of social and emotional support on HRQOL among ACS is not fully elucidated. The purpose of this study was to understand the role of social and emotional support on HRQOL in ACS and to examine if the association between social and emotional support and HRQOL is modified by gender, time since cancer diagnosis, or marital status.MethodsData for this study were obtained from the 2009 Behavioral Risk Factor Surveillance System. Statistical analysis was based on ACS with complete data (n = 23,939) on all variables considered. Multivariable logistic regression models were used to model the association between social and emotional support and indicators of HRQOL (i.e., general health, physical health, mental health, and activity limitation). To examine if gender, marital status, or the number of years since cancer diagnosis modify the association, separate stratified analyses were conducted.ResultsWhen compared to ACS who reported that they Rarely/Never received social and emotional support, those who reported that they Always received were 32 % less likely to report Fair/Poor General health, 23 % less likely to report frequent unhealthy days of Physical health, 73 % less likely to report frequent unhealthy days of Mental health and 38 % less likely to report frequent unhealthy days of Activity limitation. Social and emotional support was positively associated with all four domains of HRQOL among ACS who were female, unmarried, or greater than 5 years since cancer diagnosis, while this positive association was evident only with one or two domains of HRQOL among their corresponding counterparts (i.e., male, married, less than 5 years since diagnosis).ConclusionsSocial and emotional support is an important factor directly related to a better HRQOL, but it is modified by gender, marital status, and time since diagnosis. Findings from this study should inform health care providers about the importance of a support system for ACS in improving their overall quality of life.     

Modelling lung cancer mortality rates from smoking prevalence: Fill in the gap

BackgroundThe objective of this study is to estimate the gap between smoking prevalence and lung cancer mortality and provide predictions of lung cancer mortality based on previous smoking prevalence.Materials and methodsWe used data from the Spanish National Health Surveys (2003, 2006 and 2011) to obtain information about tobacco use and data from the Spanish National Statistics Institute to obtain cancer mortality rates from 1980 to 2013. We calculated the cross-correlation among the historical series of smoking prevalence and lung cancer mortality rate (LCMR) to estimate the most likely time gap between both series. We also predicted the magnitude and timing of the LCMR peak.ResultsAll cross-correlations were statistically significant and positive (all above 0.8). For men, the most likely gap ranges from 20 to 34 years. The age-adjusted LCMR increased by 3.2 deaths per 100,000 people for every 1 unit increase in the smoking prevalence 29 years earlier. The highest rate for men was observed in 1995 (55.6 deaths). For women, the most likely gap ranges from 10 to 37 years. The age-adjusted LCMR increased by 0.28 deaths per 100,000 people for every 1 unit increase in the smoking prevalence 32 years earlier. The maximum rate is expected to occur in 2026 (10.3 deaths).ConclusionThe time series of prevalence of tobacco smoking explains the mortality from lung cancer with a distance (or gap) of around 30 years. According to the lagged smoking prevalence, the lung cancer mortality among men is declining while in women continues to rise (maximum expected in 2026).