Addressing Intergenerational Inequity in Tobacco-Harm: What Helps Children of Smokers to Remain Nonsmokers?

INTRODUCTION: Children of people who smoke are more likely to take up smoking themselves. In Aotearoa New Zealand (NZ), adolescent smoking declined dramatically between 2000 and 2016 despite limited change in parental smoking, demonstrating that the cycle can be broken. AIMS AND METHODS: This study aimed to identify modifiable factors associated with never smoking in Year 10 students (14-15 years) who had at least one caregiver who smoked. We used data from the Youth Insights Survey (2016 and 2018, pooled, N = 5,422) and identified students with at least one caregiver (mother, father, grandparent, other caregiver) who smoked (N = 2,205). To investigate modifiable factors potentially associated with nonsmoking we used logistic regression with marginally adjusted prevalence estimates. RESULTS: Overall, 41% of students had at least one caregiver who smoked. In this group, the majority (65%) had never smoked themselves. After adjustment, never-smoking was more prevalent among students attending low-deprivation (more affluent) schools (73% had never smoked) compared to high-deprivation schools (44%); students not exposed to others' smoking inside the home (72%) or in cars (70%) in the past week compared to those exposed (59% and 51%, respectively); and students whose parents would be upset if they were caught smoking (68% vs 49% for those whose parents would not be upset), or who had high self-esteem (69% vs 55% for those with low self-esteem). CONCLUSIONS: Modifiable factors independently associated with non-smoking in adolescents with caregiver(s) who smoked were: nonexposure to smoking inside the home and in cars, parental expectations of nonsmoking, and high self-esteem. IMPLICATIONS: Even in countries like NZ with relatively low adult smoking rates, children's exposure to caregiver smoking may be prevalent, particularly in structurally disadvantaged populations. This study suggests that action to promote smokefree homes and cars, build high self-esteem in young people, and communicate expectations of non-smoking are likely to help children of people who smoke to remain nonsmokers. A comprehensive approach that also addresses "upstream" factors (eg, socioeconomic deprivation) and underlying causes of structural inequity (eg, institutional racism) is needed. Such policy and community action may help to break intergenerational cycles of tobacco use and health inequity.

How do American and British Nonsmokers Value Secondhand Smoke Health Risks?

Despite concerted efforts to enforce smoke-free laws in various countries, nonsmokers, particularly women and children, continue to be exposed to daily secondhand smoke (SHS), resulting in significant health risks. While existing studies have assessed the health effects of numerous diseases, the quantification of SHS spillovers remains understudied. This research employs choice experiments and contingent valuation techniques to rigorously quantify the attributes of SHS health risks, with a specific emphasis on facilitating cross-country comparisons. Our investigation reveals that nonsmoking individuals in the United Kingdom exhibit an attitude of indifference towards a proposed policy offering increased disposable income as compensation for SHS exposure. Conversely, nonsmoking Americans express a contrary perspective. Furthermore, our study demonstrates that nonsmoking Americans attribute a higher value to SHS health risks compared to their British counterparts. Consequently, this research uncovers a hitherto unexplored dimension of health risk-related behaviors. These findings hold the potential to significantly contribute to the development of future smoke-free policies, offering valuable insights that can inform policy decisions and address the persistent challenges associated with SHS exposure, particularly among vulnerable populations.

Tobacco Policy and ENDS Policy Influences on Adolescent Vaping Across the U.S. States.

INTRODUCTION: Although the use of tobacco has declined among youth, ENDS has the potential to disrupt or reverse these trends. Policies for tobacco and ENDS may have an impact on adolescent ENDS use. The impacts of state-level policies were examined for both tobacco and ENDS indoor use bans, excise taxes, and age-of-purchase laws on past-month adolescent ENDS use from 2013 to 2019. METHODS: This study used cohort data from the Population Assessment of Tobacco and Health study and policy data from the Americans for Nonsmokers' Rights Foundation repository-3 policies for ENDS and 2 policies for tobacco products. Policies included comprehensive indoor vaping/smoking bans, purchase-age restrictions, and excise taxes. Hybrid panel models were estimated in 2022 using data merged from the 2 longitudinal sources on past-month vaping. The analytic sample (observations=26,008) included adolescents aged 12-17 years, yielding a total of 72,684 observations. RESULTS: The odds of adolescent ENDS use were 21.4% lower when the state had an ENDS purchase-age restriction and 55.0% lower when the state had a comprehensive tobacco smoking ban than in the years when the state did not have the ban. CONCLUSIONS: During a period of significant growth in ENDS use among U.S. youth, ENDS purchase-age restrictions and smoking bans reduced the odds of past-month vaping among adolescents. Wider implementation of policies may help intervene in youth vaping.

Assessment and Correlation of Salivary Ca, Mg, and pH in Smokers and Non-Smokers with Generalized Chronic Periodontitis.

Background and Objectives: Diagnostic evaluation with the aid of biomarkers has reached newer heights to assess disease activity. Salivary calcium, magnesium, and pH are one of the biochemical parameters which can be helpful in assessing the progression of periodontal disease. Smokers are at topnotch threat for having oral diseases, predominantly periodontal diseases. The aim of this study was to assess the salivary calcium, magnesium, and pH levels in smokers compared with non-smokers with chronic periodontitis. Materials and Methods: The current study was conducted on 210 individuals affected with generalized chronic periodontitis, with the age group between 25 and 55 years. Based on their smoking habit, an equal number of patients were categorized into two groups; namely, group I consisted of non-smokers and group II consisted of smokers. The clinical parameters that were measured included Plaque Index (PI), Gingival Index (GI), Probing Pocket Depth (PPD), and Clinical Attachment Loss (CAL). The biochemical variables that were evaluated in the current study included salivary calcium, magnesium, and pH using an AVL9180 electrolyte analyzer (Roche, Germany). The gathered data were analyzed with an unpaired t test was using SPSS 20.0. Results: A statistically significant higher PPD (p < 0.01), CAL (p < 0.05), and salivary calcium levels (p < 0.001) were observed in the smokers' compared with their non-smoking counterparts. Among the biochemical parameters, calcium showed a significantly (p < 0.001) higher level in smokers (5.79 ± 1.76) in contrast to non-smokers (3.87 ± 1.03). Additionally, a significant negative correlation (p < 0.05) between calcium and PPD was observed in non-smokers, whereas a non-significant inverse relation (p > 0.05) was seen in smokers. Conclusions: The present study indicates that the salivary calcium level can be a potential biochemical parameter to assess the progression of periodontal disease in smokers and non-smokers. Within the limitations of the current study, the salivary biomarkers appear to have an essential role in the identification and indication of the status of periodontal diseases.

Behavioral intentions assessment of a disposable e-cigarette among adult current, former, and non-smokers in the United States.

Modeling the public health effects of e-cigarettes requires estimates of the likelihood that different individuals and population subgroups will start using e-cigarettes and subsequently transition to and from combustible cigarette use. To begin to generate input values for modeling efforts, this study assessed adults' behavioral intentions in relation to a disposable e-cigarette, "BIDI® Stick." An online questionnaire assessed intentions to try and use a BIDI® Stick regularly in 11 flavor variants among United States (U.S.) nationally representative samples of adult (21+ years) non-smokers (n = 2284), current smokers (n = 2391), former smokers (n = 2241), and young adult (21-24 years) non-smokers (n = 1140) of combustible cigarettes following exposure to product information and images. Current smokers rated their intentions to use a BIDI® Stick to partially or completely replace cigarettes. Positive intention to try a BIDI® Stick at least once was, for each flavor variant, highest among current smokers (22.4%-28.1%), lower among former smokers (6.0%-9.7%) and non-smokers (3.4%-5.2%), and lowest among never-smokers (1.0%-2.4%). Among current smokers, former smokers, and non-smokers, trial and regular use intentions were lowest among e-cigarette non-users and e-cigarette never-users. Approximately 23.6% of current smokers reported an intention to use a BIDI® Stick in at least one flavor to completely switch from cigarettes and/or to reduce cigarette consumption. Low trial and regular use intentions suggest that U.S. adults who do not currently smoke cigarettes and/or use e-cigarettes are unlikely to initiate use of the BIDI® Stick e-cigarette. Trial and regular use intentions are highest among adults who currently smoke cigarettes and/or use e-cigarettes. A moderate proportion of current smokers may try using a BIDI® Stick e-cigarette as a partial or complete replacement for combustible cigarettes.

Cost-effectiveness and health impact of lung cancer screening with low-dose computed tomography for never smokers in Japan and the United States: a modelling study.

BACKGROUND: Never smokers in Asia have a higher incidence of lung cancer than in Europe and North America. We aimed to assess the cost-effectiveness of lung cancer screening with low-dose computed tomography (LDCT) for never smokers in Japan and the United States. METHODS: We developed a state-transition model for three strategies: LDCT, chest X-ray (CXR), and no screening, using a healthcare payer perspective over a lifetime horizon. Sensitivity analyses were also performed. Main outcomes were costs, quality-adjusted life-years (QALYs), life expectancy life-years (LYs), incremental cost-effectiveness ratios (ICERs), and deaths from lung cancer. The willingness-to-pay level was US$100,000 per QALY gained. RESULTS: LDCT yielded the greatest benefits with the lowest cost in Japan, but the ICERs of LDCT compared with CXR were US$3,001,304 per QALY gained for American men and US$2,097,969 per QALY gained for American women. Cost-effectiveness was sensitive to the incidence of lung cancer. Probabilistic sensitivity analyses demonstrated that LDCT was cost-effective 99.3-99.7% for Japanese, no screening was cost-effective 77.7% for American men, and CXR was cost-effective 93.2% for American women. Compared with CXR, LDCT has the cumulative lifetime potential for 60-year-old Japanese to save US$117 billion, increase 2,339,349 QALYs and 3,020,102 LYs, and reduce 224,749 deaths, and the potential for 60-year-old Americans to cost US$120 billion, increase 48,651 QALYs and 67,988 LYs, and reduce 2,309 deaths. CONCLUSIONS: This modelling study suggests that LDCT screening for never smokers has the greatest benefits and cost savings in Japan, but is not cost-effective in the United States. Assessing the risk of lung cancer in never smokers is important for introducing population-based LDCT screening.

Economic cost of tobacco smoking and secondhand smoke exposure at home in Thailand.

IntroductionSmoking is an important public health concern. This study is the first that attempts to estimate the economic cost of smoking and secondhand smoke (SHS) exposure at home in Thailand. Method A prevalence-based cost of illness approach following the guideline by WHO is employed. Result In 2017, the direct morbidity cost attributable to smoking and SHS exposure at home in Thailand was estimated to be at least US$265.97 million and US$23.66 million, respectively. Indirect morbidity costs from workday loss totalling US$25.04 million can be linked to smoking, while US$1.72 million was the result of SHS exposure at home. Smoking-attributable premature deaths resulted in an opportunity loss to the country equivalent to US$2.48 billion, while the figure was US$181.41 million for SHS exposure at home. Total years of life lost due to smoking and SHS-attributable premature deaths are estimated to have been at least 390 955 years for males and 82 536 years for females. The total economic cost from both types of tobacco exposure amounted to US$2.98 billion, equivalent to 17.41% of Thailand's current health expenditure or 0.65% of its gross domestic product in 2017. Conclusion Smoking imposed a substantial economic burden on Thailand in 2017. Seven per cent of this cost was imposed on non-smokers sharing a residence with smokers. Females bore 80% of this SHS-related cost. The findings call for prompt responses from public health agencies in Thailand to launch effective tobacco control policies.

Assessment of salivary thiocyanate levels and pH in the saliva of smokers and nonsmokers with chronic periodontitis - A comparative study.

BACKGROUND: It has been speculated that the pathogenesis of diseases prompted by cigarette smoking includes oxidative damage by free radicals. Though, definitive evidence that smoking may cause the oxidative modification of target molecules in vivo is lacking. Therefore, the purpose of this study was to estimate and compare the levels of salivary Thiocyanate (SCN) and power of hydrogen (pH) in the saliva of smokers and nonsmokers with chronic periodontitis (ChP). MATERIALS AND METHODS: A study population consisted of 60 male systemically healthy subjects in the age group of 20-65 years that was further divided into three groups: Group 1: 20 Healthy nonsmokers, who never smoked. Group 2: 20 nonsmokers with chronic periodontitis. Group 3: 20 smokers with chronic periodontitis. Unstimulated saliva was collected for at least 5 mins and clinical parameters; salivary pH and SCN thiocyanate levels were assessed using the spectrophotometric method. Statistical analysis was performed using SPSS Inc 21.0, Chicago, II, United States of America. RESULTS: Data showed that the mean salivary SCN level, periodontal parameters were higher in smokers with chronic periodontitis as compared to nonsmokers with chronic periodontitis and healthy subjects (P < 0.05.) Post Hoc tests multiple comparisons Tukey Honest Significant Difference (HSD) among three groups were statistically significant (p < 0.05). CONCLUSION: Salivary thiocyanate levels remain increased by smoking in addition to the impact of periodontitis, and these results also indicated a significant change in the pH depending on the severity of the periodontal condition in smokers. Thus, the measurement of salivary thiocyanate may prove to be useful in the early detection of periodontal disease. The salivary pH shows significant changes and, consequently, relevant to the severity of the periodontal disease. Salivary pH may thus be used as a quick chairside diagnostic biomarker.

Home Smoking Bans and Urinary NNAL Levels to Measure Tobacco Smoke Exposure in Chinese American Household Pairs.

Home smoking bans can reduce tobacco smoke exposure, but little is known about the impact for Chinese American household pairs. In this study of 202 household pairs with low acculturation, 53.9% reported a home smoking ban, 31.7% had inconsistent reports, and 14.4% reported no ban. With decreasing home smoking ban enforcement, more nonsmokers had tobacco smoke exposure (66.1%-86.2%) as measured by the tobacco-specific nitrosamine biomarker urine NNAL (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol). Despite reported bans, about one-quarter of nonsmokers still reported tobacco smoke exposure at home (23.6%-30%) within the past 2 months and three-quarters reported outdoor exposure. In adjusted regression analyses of geometric mean NNAL ratios, nonsmokers in households with no ban had over two times higher levels than nonsmokers in households with a ban: adjusted log NNAL ratio = 2.70 (95% CI 1.21, 6.03). Higher smoker NNAL level and nonsmoker English fluency were also significantly associated with nonsmoker NNAL levels. Nonsmoker levels in households with an inconsistent ban were not significantly different compared to those with a ban. Although home smoking bans were generally associated with lower NNAL levels, tobacco smoke exposure in this immigrant population with low English proficiency was higher than that of the general population. From a health equity standpoint, there is a need for broader implementation and enforcement of comprehensive smoke-free policies.

Effects of a Cigarette Price Increase on the Smoking Behavior of Smokers and Non-smokers.

Objectives: The government of the Republic of Korea (ie, South Korea) drastically increased cigarette prices by 80% in 2015. The exogenous regulatory change provided us with an opportunity to examine the effects of the cigarette price increase on smoking behavior. Methods: Utilizing 2011-2016 balanced panel data from the Korea Health Panel (3693 participants each year), we divided the sample into smokers and non-smokers and traced each individual's smoking behavior. Results: Overall smoking prevalence (OR = 0.476, p < .01) and daily cigarette consumption (IRR = 0.737, p < .01) were reduced after the cigarette price increase. However, although the cigarette price increase was inversely related to smokers' cigarette consumption (OR = 0.799, p < .01), we found no statistically significant impact on smoking cessation among smokers. On the other hand, the cigarette price increase was associated with decreased smoking onset among non-smokers (OR = 0.172, p < .01) and reduced cigarette consumption after they started smoking (IRR = 0.279, p < .01). Conclusions: The reduction in smoking prevalence after the increase of the cigarette price resulted from the fact that non-smokers did not start smoking rather than from a decrease in the number of existing smokers.

Nicotine and energy balance: A review examining the effect of nicotine on hormonal appetite regulation and energy expenditure.

Nicotine has been shown to decrease appetite, food intake (FI) and body weight, but the mechanisms are unclear. The purpose of this review was to examine research on the effects of nicotine on energy balance by exploring physiological mechanisms and hormone regulation related to FI, subjective appetite and energy expenditure (EE). We searched PubMed and MEDLINE, and included articles investigating the effects of nicotine on central appetite regulation, FI, leptin, peptide-YY (PYY), ghrelin, glucagon-like peptide-1 (GLP-1), adiponectin, cholecystokinin (CCK), orexin, and EE. A total of 65 studies were included in the qualitative synthesis and review. Our findings suggest that the decrease in appetite and FI may be attributed to nicotinic alterations of neuropeptide Y (NPY) and pro-opiomelanocortin (POMC) but the effect of nicotine on FI remains unclear. Furthermore, nicotine increases resting EE (REE) and physical activity EE (PAEE) in both smokers and non-smokers; and these increases may be a result of the catecholaminergic effect of nicotine. Decreases in body weight and appetite experienced by nicotine users results from increased EE and changes in the central hypothalamic regulation of appetite. There is not enough evidence to implicate a relationship between peripheral hormones and changes in appetite or FI after nicotine use. Although nicotine increases REE and PAEE, the effect of nicotine on other components of EE warrants further research. We conclude that further research evaluating the effect of nicotine on appetite hormones, FI and EE in humans is warranted.

Heated Tobacco Products Have Reached Younger or More Affluent People in Japan.

BACKGROUND: The trend of the diffusion of heated tobacco products (HTPs) is a great concern because HTPs have become available worldwide. This study examined the sociodemographic characteristics of HTPs users in Japan, where HTPs were first launched. METHODS: This cross-sectional study used data from an online survey conducted in 2017. A total of 4,926 participants, aged 20-69 years, were included. The dependent variable was the type of tobacco products used. The independent variables were age and equivalent income. Two analyses estimated the odds ratios (ORs) for 1) being smokers compared to "non-smokers," and 2) being "HTP smokers" compared to "only combustible cigarette smokers." Analyses were stratified by sex. Educational attainment and occupation were also used in the sensitivity analyses. RESULTS: The percentages of "non-smokers," "only combustible cigarette smokers," and "HTP smokers" were 82.8%, 14.2%, and 3.0%, respectively. When compared to the oldest participants (aged 60-69), the youngest participants (aged 20-29) tended to be "HTP smokers" (OR 7.90; 95% confidence interval [CI], 3.09-20.22 for men and OR 9.28; 95% CI, 2.14-40.28 for women). Compared to participants with the lowest incomes (<2 million), those with the highest incomes (≥4 million) tended to use HTPs (OR 2.93; 95% CI, 1.56-5.49 in men and OR 1.82; 95% CI, 0.73-4.54 in women). These trends were consistent when analyses included only smokers. There were consistent results in other SES measurements, including educational attainment and occupation. CONCLUSIONS: Younger or more affluent people tended to use HTPs, although smoking rates among these populations were generally lower. New tobacco control efforts are required.

The effects of antismoking campaigns on nonsmokers in South Korea: perceived threat, attribution, and help-giving.

Notwithstanding their good intentions, health communication campaigns may have inadvertent effects on an unintended audience. To explore the potential unintended consequences of an antismoking campaign on nonsmokers in South Korea, a survey of nonsmokers (N = 599) was conducted. The analysis revealed positive effects of campaign exposure on nonsmokers' perceived threat of smoking, which in turn led them to focus on smokers' personal responsibility over social responsibility. Both perceived threat and attribution of responsibility were related to nonsmokers' attitudes toward giving help to smokers, but in opposite directions. Theoretical and practical implications of the results are discussed.

Health Care Utilization of Menthol and Non-menthol Cigarette Smokers.

INTRODUCTION: To study the association between health care utilization and menthol cigarette use and whether the association differed between African American (AA) and non-AA smokers. METHODS: We analyzed the three most recent 2005, 2010, and 2015 National Health Interview Survey Cancer Control Supplements. After incorporating propensity score weights adjusting for observed differences between menthol and non-menthol users, we estimated Zero-Inflated Poisson models on hospital nights, emergency department visits, doctor visits, and home visits as a function of menthol use status and other covariates separately for current cigarette smokers and recent quitters (former smokers quitting cigarette smoking ≤ 4 years). RESULTS: Although current menthol smokers smoked fewer cigarettes per day than current non-menthol smokers, they did not differ from current non-menthol smokers in health care utilization. Among recent quitters, those who used to smoke menthol cigarettes had higher odds of having hospital nights than those who used to smoke non-menthol cigarettes. However, we did not find any significant association between menthol use and other health care utilization-emergency department visits, doctor visits, and home visits-among recent quitters. Moreover, compared with non-AA recent quitters, AA recent quitters had higher odds of having home visits, but fewer home visits, if they used to smoke menthol cigarettes. CONCLUSION: Menthol use was associated with greater hospitalization among recent quitters, and the association between home visits and menthol use differed between AA and non-AA recent quitters. IMPLICATIONS: This is the first study that used econometric models to study the association between health care utilization and menthol cigarette use and examine whether the association differed between AA and non-AA smokers. Our study found health care utilization did not differ by menthol use status for current smokers, although current menthol smokers smoked fewer cigarettes per day than current non-menthol smokers. However, we found menthol use was associated with higher odds of having hospital nights for recent quitters. We also found AA recent quitters had a different association between home visits and menthol use compared with non-AA recent quitters.

A Longitudinal Examination of Behavioral Transitions among Young Adult Menthol and Non-Menthol Cigarette Smokers Using a Three-State Markov Model.

INTRODUCTION: Young adult cigarette smoking behaviors are complex and dynamic. Emerging research suggests a growing rate of switching from non-menthol to menthol cigarettes. Transitions across cigarette smoking states are not well understood. This research longitudinally explores transitions in cigarette smoking behaviors among 18-29 year olds. METHODS: We applied a Markov model to data collected biannually for 1542 initially 18-29 year old young adults (mean age: 20.9 years; SD = 2.6) in Texas, who provided 7021 total observations from Fall 2014 to Spring 2017. All participants were past 30 day menthol or non-menthol cigarette smokers at first observation. We examined transitions across three states of cigarette smoking (menthol, non-menthol, and nonsmoking) and compared predictors of each transition, during young adulthood. RESULTS: Descriptively, 22.2% of menthol and 14.3% of non-menthol smokers switched products while 25.6% of menthol and 26.0% of non-menthol smokers quit smoking. Among quitters, 20.0% relapsed via menthol and 28.2% relapsed via non-menthol cigarettes. Results from Markov model indicated that Hispanic/Latinos (Hazard Ratio [HR]: 3.69) and Asians (HR: 2.85) were significantly more likely to switch from non-menthol to menthol cigarettes, relative to non-Hispanic whites. Among recent quitters, the use of non-cigarette products was associated with increased risk of relapse via menthol (HR: 1.54) and non-menthol (HR: 1.85) cigarettes. CONCLUSION: A substantial proportion of young adult cigarette smokers transitioned across cigarette smoking states over the course of 2.5 years. Other tobacco use and nicotine dependence were impediments to becoming and remaining a non-smoker. Hispanic/Latinos and Asians, relative to non-Hispanic whites, had greater odds of transitioning from non-menthol smoking to both non-smoking and to menthol smoking. Findings suggest racial/ethnic differences in cigarette smoking transitions during young adulthood. IMPLICATIONS: This paper examined multidirectional transitions across cigarette smoking, including switching between menthol and non-menthol cigarettes, among young adults. Results indicate that Hispanic/Latino and Asian young adults are at increased risk of transition to menthol cigarette smoking compared with non-Hispanic white young adults. Findings highlight need for further study of Hispanic/Latino and Asian young adult smoking behaviors.

[Regional and demographic differences on passive smoking among non-smokers aged 30-79 years in 10 regions of China].

Objective: To describe the regional and demographic differences on passive non-smokers from 10 regions involved in the China Kadoorie Biobank (CKB) study. Methods: Detailed information regarding passive smoking behaviors related to 317 486 non-smokers who were 30-79 years old from the 10 study regions were gathered and analyzed. Results: Following the standardization of the 2010 China national population, the prevalence rate of passive smoking was 56.7%, and the prevalence rate of living with smokers was 66.5% among the Chinese adults. Both of the aforementioned rates were higher in rural than in urban areas. Meanwhile, the regional distribution of weekly passive smoking frequency and cumulative duration of passive smoking per week and cumulative duration of passive smoking per day were significantly different. The cumulative passive smoking duration per week increased along with the weekly frequency in people living in urban areas. Among women, the weekly passive smoking frequency was the highest, and the cumulative durations per week and per day appeared the lowest in Hunan, opposite to the situation in Henan. The prevalence of passive smoking among participants living with smokers was 2.27 times (95%CI: 2.24-2.29) of those who were not and the association appeared stronger in women (OR=2.61, 95%CI: 2.58-2.64) but not in men (OR=1.01, 95%CI: 0.95-1.06). Almost all the indicators seemed higher in women than those in men, except for the cumulative duration per day. Furthermore, these indicators appeared higher among those who were at younger age or with less education. The prevalence rates of passive smoking and living with smokers were lower but the cumulative duration per day was higher among those with lower household income. And the two rates were higher in married women and lower in married men, as compared to their counterparts. Conclusion: Regional and demographic differences in passive smoking were noticed among study population of CKB in the 10 regions.

Infection of Mycobacterium tuberculosis Promotes Both M1/M2 Polarization and MMP Production in Cigarette Smoke-Exposed Macrophages.

Pulmonary tuberculosis (PTB) is a risk factor for COPD. Our previous study revealed more severe emphysema in COPD patients (mostly smokers) with prior tuberculosis. However, the mechanisms of interactions between cigarette smoke (CS) and Mycobacterium tuberculosis (Mtb) are unknown. In this study, we found that the frequencies of both M1 and M2 macrophages, and levels of MMP9 and MMP12 in bronchoalveolar lavage were increased in PTB patients with smoking. Between-group analysis showed that the frequency of M1 macrophages was higher in non-smoker PTB patients while more M2 macrophages were found in smokers without PTB, as compared to the non-smoker healthy controls. Bacille Calmette-Guérin (BCG) infection in CS extract (CSE)-incubated MH-S cells further enhanced secretion of M1-related (iNOS, IFN-γ and TNF-α) and M2-related (TGF-ß and IL-10) cytokines, reactive oxygen species (ROS) production and cellular apoptosis, concomitantly with up-regulation of MMP9 and MMP12, but not TIMP1. Moreover, BCG infection in acutely CS-exposed mice promoted macrophage polarization toward both M1 and M2 phenotypes, along with increased lung inflammatory infiltration. MMP9 and MMP12, but not TIMP1, were further up-regulated in lung tissues and BAL fluid after BCG infection in this model. Taken together, Mtb Infection promoted CS-exposed macrophages to polarize toward both M1 and M2 phenotypes, along with enhanced production of MMP9 and MMP12. These findings provide insights into the mechanistic interplay between CS exposure and tuberculosis in the pathogenesis of COPD.

Understanding resource utilization and mortality in COPD to support policy making: A microsimulation study.

Chronic obstructive pulmonary disease (COPD) poses a significant but heterogeneous burden to individuals and healthcare systems. Policymakers develop targeted policies to minimize this burden but need personalized tools to evaluate novel interventions and target them to subpopulations most likely to benefit. We developed a platform to identify subgroups that are at increased risk of emergency department visits, hospitalizations and mortality and to provide stratified patient input in economic evaluations of COPD interventions. We relied on administrative and survey data from Ontario, Canada and applied a combination of microsimulation and multi-state modeling methods. We illustrated the functionality of the platform by quantifying outcomes across smoking status (current, former, never smokers) and by estimating the effect of smoking cessation on resource use and survival, by comparing outcomes of hypothetical cohorts of smokers who quit at diagnosis and smokers that continued to smoke post diagnosis. The cumulative incidence of all-cause mortality was 37.9% (95% CI: 34.9, 41.4) for never smokers, 34.7% (95% CI: 32.1, 36.9) for current smokers, and 46.4% (95% CI: 43.6, 49.0) for former smokers, at 14 years. Over 14 years, smokers who did not quit at diagnosis had 16.3% (95% CI: 9.6, 38.4%) more COPD-related emergency department visits than smokers who quit at diagnosis. In summary, we combined methods from clinical and economic modeling to create a novel tool that policymakers and health economists can use to inform future COPD policy decisions and quantify the effect of modifying COPD risk factors on resource utilization and morality.

Catastrophic health expenditure: A comparative analysis of smoking and non-smoking households in China.

INTRODUCTION: Smoking is hazardous to health and places a heavy economic burden on individuals and their families. Clearly, smoking in China is prevalent since China is the largest consumer of tobacco in the world. Chinese smoking and nonsmoking households were compared in terms of the incidence and intensity of Catastrophic Health Expenditures (CHEs). The factors associated with catastrophic health expenditures were analyzed. METHODS: Data for this study were collected from two waves of panel data in 2011 and 2013 from the national China Health and Retirement Longitudinal Study (CHARLS). A total of 8073 households with at least one member aged above 45 were identified each year. Catastrophic health expenditure was measured by the ratio of a household's out-of-pocket healthcare payments (OOP) to the household's Capacity to Pay (CTP). A panel logit random-effects model was used to examine correlates with catastrophic health expenditure. RESULTS: The incidence of catastrophic health expenditures for Chinese households with members aged 45 and above in 2011 and 2013 were 12.99% and 15.56%, respectively. The mean gaps (MGs) were 3.16% and 4.88%, respectively, and the mean positive gaps (MPGs) were 24.36% and 31.40%, respectively. The incidences of catastrophic health expenditures were 17.41% and 20.03% in former smoking households, 12.10% and 15.09% in current smoking households, and 12.72% and 13.64% in nonsmoking households. In the panel logit regression model analysis, former smoking households (OR = 1.444, P<0.001) were more prone to catastrophic health expenditures than nonsmoking households. Risk factors for catastrophic health expenditures included members with chronic diseases (OR = 4.359, P<0.001), hospitalized patients (OR = 8.60, P<0.001), elderly people aged above 65 (OR = 1.577, P<0.001), or persons with disabilities (OR = 1.275, P<0.001). Protective factors for catastrophic health expenditures included being in an urban household, having a larger family size, and having a higher household income. CONCLUSIONS: The incidence of catastrophic health expenditures in Chinese households is relatively high. Smoking is one of the primary risk factors for catastrophic health expenditures. Stronger interventions against smoking should be made in time to reduce the occurrence of health issues caused by smoking and the financial losses for individuals, families and society.

Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole-slide images.

BACKGROUND: It is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC). MATERIALS AND METHODS: We assessed TMB in surgical tumor specimens by performing whole exome sequencing. IME profiles, including PD-L1 tumor proportion score (TPS), stromal CD8 tumor-infiltrating lymphocyte (TIL) density, and stromal Foxp3 TIL density, were quantified by digital pathology using a machine learning algorithm. To detect factors associated with TMB, clinical data, and IME factors were assessed by means of a multiple regression model. RESULTS: We analyzed tumors from 200 of the 246 surgically resected NSCLC patients between September 2014 and September 2015. Patient background: median age (range) 70 years (39-87); male 37.5%; smoker 27.5%; pathological stage (p-stage) I/II/III, 63.5/22.5/14.0%; histological type Ad/Sq, 77.0/23.0%; primary tumor location upper/lower, 58.5/41.5%; median PET SUV 7.5 (0.86-29.8); median serum CEA (sCEA) level 3.4 ng/mL (0.5-144.3); median serum CYFRA 21-1 (sCYFRA) level 1.2 ng/mL (1.0-38.0); median TMB 2.19/ Mb (0.12-64.38); median PD-L1 TPS 15.1% (0.09-77.4); median stromal CD8 TIL density 582.1/mm2 (120.0-4967.6);, and median stromal Foxp3 TIL density 183.7/mm2 (6.3-544.0). The multiple regression analysis identified three factors associated with higher TMB: smoking status: smoker, increase PET SUV, and sCEA level: >5 ng/mL (P < .001, P < .001, and P = .006, respectively). CONCLUSIONS: The IME factors assessed were not associated with TMB, but our findings showed that, in addition to smoking, PET SUV and sCEA levels may be independent predictors of TMB. TMB and IME factors are independent factors in resected NSCLC.