Cigarette Gifting Among Nonsmokers in China: Findings From the International Tobacco Control China Survey.

INTRODUCTION: Cigarette gifting is commonly practiced in China and has contributed to the social acceptability and high prevalence of cigarette smoking in the country. As a result, nonsmokers in China are particularly susceptible to smoking. While previous studies have examined cigarette gifting behaviors among smokers, little is known about cigarette gifting among nonsmokers. AIMS AND METHODS: This study aimed to examine the percentage and correlates of giving and receiving cigarettes as gifts among adult nonsmokers in China. We analyzed nonsmokers (N = 1813) aged ≥18 years using data from the International Tobacco Control China Wave 5 Survey. Descriptive statistics summarized the characteristics of those who gave and received cigarettes as gifts. Multivariable logistic regression models were used to identify factors associated with the two behaviors. RESULTS: Among nonsmokers, 9.9% reported giving cigarettes as gifts to family or friends in the last 6 months. A higher level of knowledge about smoking harms was associated with lower adjusted odds of gifting cigarettes. Nonsmokers aged 25-39 years, with middle income, positive attitude toward cigarette gifts, exposure to anti-smoking information, and exposure to smoking promotion, and those who reported receiving cigarettes as gifts from family or friends were more likely to give cigarettes as gifts. A total of 6.6% of nonsmokers reported receiving cigarettes as gifts in the last 6 months. High education, neutral or positive attitude toward cigarette gifts, exposure to anti-smoking information, exposure to smoking promotion, and having smoking friends were associated with receiving cigarettes as gifts. CONCLUSIONS: It is concerning that Chinese cultural norms that support cigarette gifting have extended to giving nonsmokers cigarettes as gifts. Effective anti-smoking messages are needed. Changing the norms around cigarette gifting and increasing knowledge about smoking harms should help reduce cigarette gifting among nonsmokers. IMPLICATIONS: Easy access to cigarettes received as gifts, along with the wide acceptance of smoking in China, places Chinese nonsmokers in a risky position. More educational campaigns targeting nonsmokers to proactively prevent them from smoking are called for. The ineffectiveness of existing anti-smoking information highlights the need for more effective anti-smoking messages. That attitude toward cigarette gifts is the strongest predictor of giving cigarettes as gifts suggests the need for interventions to reverse the positive attitude about cigarette gifting to decrease the popularity of this activity.

Healthcare utilisation and expenditures attributable to current e-cigarette use among US adults.

AIMS: This study estimated annual healthcare expenditures attributable to current e-cigarette use among US adults, including current exclusive and dual/poly e-cigarette use. METHODS: Analysing the 2015-2018 National Health Interview Survey data, we estimated the impacts of e-cigarette use on healthcare utilisation among adults aged 18+ years. Healthcare utilisation outcomes were hospital nights, emergency room (ER) visits, doctor visits and home visits. Current e-cigarette use was categorised as exclusive and dual/poly e-cigarette use. The econometric model included two equations: health status as a function of e-cigarette use and other independent variables, and healthcare utilisation as a function of health status, e-cigarette use, and other independent variables. Using an 'excess utilisation' approach, we multiplied the e-cigarette-attributable fraction derived from the model by annual health expenditures to calculate healthcare expenditures attributable to current exclusive and dual/poly e-cigarette use, the sum of which were expenditures attributable to all current e-cigarette use. RESULTS: Current exclusive and dual/poly e-cigarette use, with 0.2% and 3.5% prevalence in 2015-2018, were associated with higher odds of reporting poor health status than never tobacco users. Poor health status was associated with higher odds of using the four healthcare services and a greater number of ER and doctor visits. Annual healthcare expenditures attributable to all current e-cigarette use was $15.1 billion ($2024 per user) in 2018, including $1.3 billion attributable to exclusive e-cigarette use ($1796 per user) and $13.8 billion attributable to dual/poly e-cigarette use ($2050 per user). CONCLUSION: Adult current e-cigarette use was associated with substantial excess healthcare utilisation and expenditures.

Association between e-cigarette use and food insecurity among low-income adults.

INTRODUCTION: Previous research quantifying the relationship between tobacco use and food insecurity has focused on cigarette smoking. E-cigarette use has become popular in recent years. Drawing on large, population-based survey data, this study augments the previous research, considering the association of e-cigarette use with food insecurity among low-income adults. METHODS: We analysed data from the California Health Interview Survey in 2014-2019. The study sample consisted of 25 948 respondents aged 18-64 who lived in low-income (<200% of the Federal Poverty Level) households. Multivariable logistic regression models were estimated to examine the associations of e-cigarette use as well as dual use of e-cigarettes and cigarettes with food insecurity. RESULTS: Of California low-income adults, 6.4% identified as current e-cigarette users (3.0% dual users of e-cigarettes and cigarettes, and 3.4% sole e-cigarette users) and 43.0% reported food insecurity. After controlling for confounding factors, food insecurity was significantly more likely to be reported among current e-cigarette users (adjusted OR (AOR)=1.67; 95% CI 1.25 to 2.23) compared with never e-cigarette users, and among dual users (AOR=2.21; 95% CI 1.63 to 3.00), current sole e-cigarette users (AOR=1.66; 95% CI 1.15 to 2.40), and current sole cigarette smokers (AOR=1.46; 95% CI 1.22 to 1.76) compared with never tobacco users. The odds of food insecurity among dual users were significantly greater than sole cigarette smokers but not statistically different from sole e-cigarette users. CONCLUSIONS: Using e-cigarette is an associated risk factor for food insecurity among low-income adults. Dual use of e-cigarettes and cigarettes has a significantly greater risk of food insecurity compared with smoking cigarettes alone.

Changes in e-cigarette use and subsequent cigarette smoking cessation in the USA: evidence from a prospective PATH study, 2013-2018.

AIMS: To examine the relationship between changes in electronic cigarette (e-cigarette) use and subsequent cigarette smoking cessation. METHODS: Using data from the Population Assessment of Tobacco and Health Study (wave 1-wave 4), we analysed a study cohort of 3014 current adult cigarette smokers at wave 1 who tried to quit during the past 12 months. We categorised changes in e-cigarette use from wave 1 to wave 2 as: daily initiation, non-daily initiation, increase to daily use, increase to non-daily use, stable daily use, stable non-daily use, decrease from daily use, quit non-daily use and non-use. We estimated multivariable logistic regressions on short-term (≥1 month and <12 months) cigarette smoking cessation at wave 3 and long-term (≥12 months) cigarette smoking cessation at wave 4. We conducted sensitivity analyses using alternative study cohorts. RESULTS: Among the study cohort, 2.4% initiated daily, 7.5% initiated non-daily, 1.0% increased to daily, 1.4% increased to non-daily, 1.5% maintained daily, 3.0% maintained non-daily, 2.4% decreased from daily and 3.8% quit non-daily e-cigarette use between waves 1 and 2; 7.9% and 6.9% reported short-term and long-term cigarette smoking cessation. 15.1% of short-term and 16.3% of long-term cigarette quitters used e-cigarettes. Compared with non-users, smokers who initiated daily, increased to daily or quit non-daily e-cigarette use between waves 1 and 2 had higher odds of short-term cigarette smoking cessation at wave 3. These results are robust to different study cohort specifications. CONCLUSION: The findings suggest a complex relationship between changes in e-cigarette use and subsequent cigarette smoking cessation.

The smoke-free home study: study protocol for a cluster randomized controlled trial of a smoke-free home intervention in permanent supportive housing.

BACKGROUND: Formerly chronically homeless adults who live in permanent supportive housing (PSH) have high prevalence of smoking. It is uncommon to find smoke-free policies in PSH because of the concern that such policies contradict PSH's harm reduction framework and could increase homelessness should residents lose their housing because of the policy. However, in the absence of such policies, non-smoking PSH residents face the harmful effects of secondhand smoke exposure while residents who smoke see increased risks from high rates of smoking throughout their residence. Our pilot work highlighted the feasibility and acceptability of an intervention designed to promote voluntary adoption of a smoke-free home. Here we report a protocol for a cluster randomized controlled trial of the smoke-free home intervention for formerly chronically homeless residents in PSH. METHODS: The smoke-free home intervention provides face-to-face counseling and instruction to PSH residents on how to adopt a smoke-free home and offers training for PSH staff on how to refer residents to tobacco cessation services. We will randomize 20 PSH sites in the San Francisco Bay Area to either the intervention or wait-list control arms. We will enroll 400 PSH residents who smoke cigarettes in their housing unit and 120 PSH staff who work at the sites. At baseline, three- and six-months follow-up, we will ask residents to report their tobacco use and cessation behaviors and adoption of smoke-free homes. We will ask staff to answer questions on their knowledge, attitudes, practices, and barriers related to supporting residents' smoking cessation. The primary outcome for PSH residents is adoption of smoke-free homes for 90 days or more at six-months follow-up, and the secondary outcome is point prevalence tobacco abstinence. The primary outcome for PSH staff is change in Smoking Knowledge Attitudes Practices survey score. DISCUSSION: Voluntary adoption of smoke-free homes is a promising approach for reducing exposure to secondhand smoke and reducing tobacco use among a population facing high rates of tobacco-related disease, and is aligned with PSH's harm reduction framework. Findings from this study have the potential to inform adoption of tobacco control policies among vulnerable populations most at risk for smoking-related harms. TRIAL REGISTRATION: This study was registered with the U.S. National Institute of Health Clinical Trials register on April 22, 2021: NCT04855357.

The Association of Cannabis Use and Cigarette Smoking with Psychological Distress Among Adults in California.

BACKGROUND: In November 2016, California voters passed the Adult Use of Marijuana Act making recreational cannabis sales legal to adults aged 21and older starting January 1st, 2018. This study aims to understand the relationship of cannabis use and cigarette smoking with serious psychological distress (SPD) in California in light of the legalization of recreational cannabis sales. METHODS: This cross-sectional study included 42,313 adult participants from the 2017 to 2018 California Health Interview Surveys. We used the Kessler-6 (K6) scale to measure psychological distress in the past 30 days. Multiple logistic regression models were used to examine the association between cannabis/cigarette use and SPD. RESULTS: Cannabis use was positively associated with SPD (AOR = 2.48, 95% CI = 1.57, 3.91), but this association was not significantly different before and after recreational cannabis sales legalization in California (AOR = 0.82, 95% CI = 0.72, 2.05). Cigarette smoking was also positively associated with SPD (AOR = 2.76, 95% CI = 2.05, 3.71). Compared to those who used neither cannabis nor cigarettes, sole cannabis users (AOR = 2.51, 95% CI = 1.75, 3.60), sole cigarette smokers (AOR = 3.23, 95% CI = 2.28, 4.60), and dual users of cannabis and cigarettes (AOR = 5.65, 95% CI = 4.04, 7.89) were more likely to report SPD. Dual users were also more likely to report SPD than sole cannabis users (AOR = 2.25; 95% CI = 1.48, 3.43) and sole cigarette smokers (AOR = 1.75; 95% CI = 1.18, 2.59). CONCLUSIONS: These findings provide evidence for the need to develop effective cessation intervention strategies targeting individuals with SPD to reduce their cannabis use and dual-use of cannabis and cigarettes.

The Association of California's Proposition 56 Tobacco Tax Increase With Smoking Behavior Across Racial and Ethnic Groups and by Income.

INTRODUCTION: On April 1, 2017, California Proposition 56 (Prop 56) was implemented, increasing the excise tax on cigarettes by $2/pack. This study compares the association of Prop 56 with smoking prevalence and smoking intensity across racial/ethnic groups, further examining distinctions across income subgroups within each racial/ethnic group. AIMS AND METHODS: The study used pooled cross-sectional data from the 2012-2018 California Behavioral Risk Factor Surveillance System. We examined two outcomes: current smoking prevalence and smoking intensity conditional on current smoking. A two-part econometric model was used to estimate the association of Prop 56 with smoking prevalence and intensity using multiple logistic regression and multiple linear regression, respectively. The two-part model was run separately for all adults (full sample) and each racial/ethnic group. Within each racial/ethnic group, we ran stratified analyses by income subgroups. RESULTS: The results indicated that Prop 56 was negatively associated with smoking prevalence among full sample, Hispanic, White, and African American adults and negatively associated with smoking intensity among full sample and White smokers. Stratified analyses by race/ethnicity and income showed that Prop 56 was negatively associated with smoking prevalence among low-income full sample and White adults and among middle-income smokers in the full, Hispanic, White, African American, and Asian samples. Prop 56 was negatively associated with smoking intensity among middle-income Hispanic and high-income White smokers. The association between Prop 56 and smoking intensity was positive among high-income African American smokers. CONCLUSION: Prop 56 was associated with a reduction in smoking prevalence across multiple racial/ethnic groups, particularly within the low- and middle-income subgroups. IMPLICATIONS: Our findings indicate that the reduction in smoking prevalence immediately following the implementation of Prop 56 tobacco tax increase was significant across a variety racial/ethnic groups, particularly low- and middle-income subgroups. We found differential responses in smoking prevalence across income groups among Whites but not among racial/ethnic minorities. We found no evidence of any significance association between Proposition 56 and smoking intensity among minorities and economically vulnerable populations, except for middle-income Hispanics. Researchers, policy makers, and advocates should consider the additional merits of targeted, community-based, noneconomic tobacco control interventions in reaching low- and middle-income groups within racial/ethnic minorities.

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.

Smoking Behavior in Low- and High-Income Adults Immediately Following California Proposition 56 Tobacco Tax Increase.

Objectives. To compare the association of California Proposition 56 (Prop 56), which increased the cigarette tax by $2 per pack beginning on April 1, 2017, with smoking behavior among low- and high-income adults.Methods. Drawing on a sample of 17 206 low-income and 21 324 high-income adults aged 21 years or older from the 2012 to 2018 California Behavioral Risk Factor Surveillance System data, we explored 2 outcomes: current smoking prevalence and smoking intensity (average number of cigarettes per day among current smokers). For each income group, we estimated a multivariable logistic regression to analyze the association of Prop 56 with smoking prevalence and a multivariable linear regression to analyze the association of Prop 56 with smoking intensity.Results. Although we observed no association between smoking intensity and Prop 56, we found a statistically significant decline in smoking prevalence among low-income adults following Prop 56. No such association was found among the high-income group.Conclusions. Given that low-income Californians smoke cigarettes at greater rates than those with higher incomes, our results provide evidence that Prop 56 is likely to reduce income disparities in cigarette smoking in California.

Cold Turkey and Hot Vapes? A National Study of Young Adult Cigarette Cessation Strategies.

INTRODUCTION: Young adults have high smoking rates and low utilization of evidence-based smoking cessation strategies. We investigated smoking cessation intentions, strategy use, and socioeconomic predictors of strategy use among young adult smokers (age 18-24) and compared patterns with those of older adults (age 25-64). METHODS: We used a population-based sample from the Population Assessment of Tobacco and Health (PATH) study of young adult (n = 1,881) and older adult (n = 6,366) established smokers of conventional cigarettes at Wave 1 (2013-2014), who were surveyed at Wave 2 (2014-2015). Simple regression analysis compared intentions to quit between age groups. Among Wave 1 smokers who reported a Wave 2 quit attempt (young adults [YA] n = 748; older adults [OA] n = 2,068), bivariate and multinomial logistic regression estimated differences in use of behavioral support, pharmacotherapy, product substitution, and unassisted quit attempts. Interaction terms estimated age-group differences in relationships between predictors and cessation strategy use. RESULTS: Young adults planned to quit on a longer time frame, expressed lower interest in quitting, and were more confident they would be successful, compared with older adults. Young adults were significantly less likely to use pharmacotherapy (adjusted odds ratio: 0.15; confidence interval: 0.09, 0.24; reference: quitting unassisted). Both groups reported using product substitution (YA: 31.6%; OA: 28.5%), primarily with e-cigarettes, more than any evidence-based cessation strategy. Socioeconomic predictors of cessation strategy use did not differ between age groups. CONCLUSIONS: More research on why young adult smokers underutilize evidence-based cessation support is needed, as are innovative efforts to increase intentions to quit and utilization of cessation assistance. IMPLICATIONS: Young adulthood is a key transition time for tobacco use, and early cessation substantially reduces the risk of morbidity and mortality from smoking. In the context of high e-cigarette and polytobacco use, this study finds young adults have significantly less intention to quit than older adults and are less likely to use evidence-based cessation strategies to help quit. Innovative methods are needed to increase young adult intentions to quit and use of evidence-based cessation assistance.

Real-World Effectiveness of Smoking Cessation Strategies for Young and Older Adults: Findings From a Nationally Representative Cohort.

INTRODUCTION: Young adults have high combustible cigarette and e-cigarette use rates, and low utilization of evidence-based smoking cessation strategies compared to older adults. It is unknown whether young adults who try to quit smoking without assistance, with evidence-based strategies, or with e-cigarettes, are equally successful compared to older adults. AIMS AND METHODS: This analysis used a population-based sample from the Population Assessment of Tobacco and Health study of young adult (aged 18-24, n = 745) and older adult (aged 25-64, n = 2057) established cigarette smokers at Wave 1 (2013-2014) who reported having made a quit attempt at Wave 2 (2014-2015). Cessation strategies were: behavioral therapy, pharmacotherapy, product substitution, 2+ strategies, and unassisted. Logistic regression estimated associations between cessation strategy and short-term cessation status at Wave 2 (quit, no quit); multinomial logistic regression predicted long-term cessation patterns at Waves 2 and 3 (sustained quit, temporary quit, delayed quit, no quit). RESULTS: No cessation strategy (ref: unassisted) significantly predicted short-term cessation. No cessation strategy (ref: unassisted) significantly predicted long-term cessation patterns for young adults. Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day (adjusted odds ratio [AOR]: 1.70; 95% confidence interval: 1.08, 2.67) but did not predict long-term cessation patterns. CONCLUSIONS: Despite differences in cessation strategy use between young and older adult smokers, strategy effectiveness largely did not differ by age group. No strategy examined, including e-cigarettes, was significantly associated with successful cessation for young adults. More work is needed to identify effective interventions that help young adult smokers quit. IMPLICATIONS: (1) Neither behavioral support, pharmacotherapy, nor product substitution was associated with short-term cessation for young or older adults compared to quitting unassisted. (2) Neither behavioral support, pharmacotherapy, nor product substitution was associated with longer-term cessation for young or older adults compared to quitting unassisted. (3) Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day but was not associated with longer-term cessation.

Effects of Cigarette Prices on Intention to Quit, Quit Attempts, and Successful Cessation Among African American Smokers.

INTRODUCTION: This study examined the effects of cigarette price on intention to quit, quit attempts, and successful cessation among African American smokers in the United States and explored whether price effects differed by income level and menthol use status. Price effects were further compared to White counterparts. METHODS: We used pooled cross-sectional data from 2006 to 2007 and 2010 to 2011 Tobacco Use Supplements to the Current Population Survey to analyze 4213 African American recent active smokers. Three dependent variables were examined: any quit attempts in the past 12 months, successful cessation for at least 3 months, and intention to quit in the next 6 months. For each dependent variable, separate multiple logistic regression models were estimated to determine the impact of cigarette prices. RESULTS: There was no indication that price was associated with quit attempts or successful cessation, but price was positively associated with increased odds of intending to quit among African American smokers (p < .001). In contrast, prices were positively associated with intention to quit and quit attempts for White smokers. The association between price and intention to quit was significantly positive for African American low-income and menthol smokers but was not statistically significant for African American high-income and non-menthol smokers. There was no evidence of a price effect on quit attempts and successful cessation for each subgroup of African Americans. CONCLUSIONS: Tobacco tax policy alone may not be enough to increase quit attempts or successful cessation among African Americans. Community-based cessation programs tailored toward African American smokers, especially low-income menthol smokers, are needed. IMPLICATIONS: The results revealed that, among African American smokers, particularly among low-income and menthol smoking African American smokers, price appears to be positively associated with intention to quit; nevertheless, this deterrent effect does not appear to translate to actualized quit attempts or successful cessation. Increasing cigarette prices as a standalone policy may not be independently effective in increasing quit attempts and successful cessation within the African American community. Community-based cessation interventions tailored for African Americans are needed to help further translate desired cessation into actualized quit attempts.

Deaths from smoking and from HIV/AIDS among gay and bisexual men in California, 2005-2050.

INTRODUCTION: Deaths from HIV/AIDS have long been of concern to the gay community, but less attention has focused on smoking-attributable deaths despite the relatively high smoking rates among gay and bisexual men. This study compared deaths from HIV/AIDS with smoking-attributable deaths among California gay and bisexual men from 2005 to 2050. METHODS: Smoking-attributable fractions (SAFs) were estimated using smoking prevalence for gay and bisexual men from the 2011-2014 California Health Interview Surveys and published relative risks of death. Smoking-attributable deaths were calculated by multiplying the SAFs by deaths among gay and bisexual men. Deaths from HIV/AIDS among men who have sex with men was obtained from the California Department of Public Health. Future deaths from smoking and HIV/AIDS were projected using regression equations based on time trends. RESULTS: From 2005 to 2014, smoking caused over 6800 deaths among gay and bisexual men, while nearly 9500 died from HIV/AIDS. Mortality from both causes has been falling, but deaths from HIV/AIDS have been falling more rapidly. Projections suggest that in the mid-2040s, more gay/bisexual men will die from smoking than from HIV/AIDS. CONCLUSION: Smoking will surpass HIV/AIDS as a cause of death among gay and bisexual men in California within a few decades. The lesbian, gay, bisexual and transgender (LGBT) community was highly effective in drawing attention and resources to the fight against HIV/AIDS, saving untold lives by hastening effective treatments. Lessons learnt in the fight against AIDS should be used to help fight the tobacco epidemic.

Medical and socio-demographic characteristics associated with patient-perceived continuity of primary care: A cross-sectional survey in Hangzhou, China.

BACKGROUND: This study measured the perceived continuity of general practitioner (GP) care from the patient's perspective and identified the associated factors. METHODS: A cross-sectional survey was carried out on 624 patients in community health care centres in Hangzhou, China. A self-designed Likert scale was used to measure patients' perceptions on informational, managerial, and relational continuity of GP care. An average score for three types of continuity ranging from 0 to 100 was calculated. Linear regression models were developed to determine the factors influencing continuity. RESULTS: Average rating scores of 57.73 (±15.31), 50.74 (±17.18), 61.61 (±18.07), and 63.57 (±17.40) were found for total, informational, managerial, and relational continuity of care, respectively. Older patients reported a more positive rating on all types of continuity. Income was negatively associated with managerial continuity. The factors affecting informational, relational, and total continuities included chronic diseases, walking distance to nearest community health centres, signing a contract with a GP, and knowing the names of contracted GPs. CONCLUSION: Patients' perception of continuity of GP care remains at a low level, especially for informational continuity. The varied association between continuity of care and identified factors suggests that targeted actions should be considered for improving the quality of GP services.

Healthcare costs attributable to secondhand smoke exposure at home for U.S. adults.

OBJECTIVE: To estimate healthcare costs attributable to secondhand smoke (SHS) exposure at home among nonsmoking adults (18+) in the U.S. METHODS: We analyzed data on nonsmoking adults (N=67,735) from the 2000, 2005, and 2010 (the latest available data on SHS exposure at home) U.S. National Health Interview Surveys. This study was conducted from 2015 to 2017. We examined hospital nights, home care visits, doctor visits, and emergency room (ER) visits. For each, we analyzed the association of SHS exposure at home with healthcare utilization with a Zero-Inflated Poisson regression model controlling for socio-demographic and other risk characteristics. Excess healthcare utilization attributable to SHS exposure at home was determined and multiplied by unit costs derived from the 2014 Medical Expenditures Panel Survey to determine annual SHS-attributable healthcare costs. RESULTS: SHS exposure at home was positively associated with hospital nights and ER visits, but was not statistically associated with home care visits and doctor visits. Exposed adults had 1.28 times more hospital nights and 1.16 times more ER visits than non-exposed adults. Annual SHS-attributable healthcare costs totaled $4.6 billion (including $3.8 billion for hospital nights and $0.8 billion for ER visits, 2014 dollars) in 2000, $2.1 billion (including $1.8 billion for hospital nights and $0.3 billion for ER visits) in 2005, and $1.9 billion (including $1.6 billion for hospital nights and $0.4 billion for ER visits) in 2010. CONCLUSIONS: SHS-attributable costs remain high, but have fallen over time. Tobacco control efforts are needed to further reduce SHS exposure at home and associated healthcare costs.

Infrequent and Frequent Nondaily Smokers and Daily Smokers: Their Characteristics and Other Tobacco Use Patterns.

Introduction: The proportion of smokers who do not smoke daily has increased over time, but nondaily smokers are a heterogeneous group. We compare characteristics and other tobacco product use of infrequent nondaily, frequent nondaily, and daily US adult smokers. Methods: We analyzed data from the 1998, 2000, 2005, and 2010 National Health Interview Surveys. Current smokers were categorized as daily, infrequent nondaily (smoked 1-12 days in the past 30 days), and frequent nondaily (smoked 13-29 days in the past 30 days) smokers. Multinomial logistic regression analysis was used to analyze the correlates of infrequent nondaily, frequent nondaily, and daily smoking. Results: Among current smokers, 8.3% were infrequent nondaily, 8.1% were frequent nondaily, and 83.6% were daily smokers. The prevalence of infrequent versus daily smoking increased over time, with a smaller increase among non-Hispanic Blacks than non-Hispanic Whites. The adjusted odds of both infrequent and frequent smoking versus daily smoking differed by age, race/ethnicity, education, poverty status, marital status, region, quit attempts in the past 12 months, and binge drinking. Snuff users (vs. non-snuff users) were 2.4 times as likely to be infrequent than daily smokers. There were also differences in race/ethnicity, education, marital status, region, quit attempts, and snuff use between infrequent versus frequent smokers. Conclusion: Infrequent smokers differ from both frequent and daily smokers in socio-demographics, quit attempts, and snuff use. The heterogeneity of nondaily smokers should be considered in developing targeted tobacco control and smoking cessation programs. Implications: Infrequent and frequent nondaily smokers were found to differ from daily smokers in age, race/ethnicity, education, poverty status, marital status, region, and quit attempts and they were different from each other in race/ethnicity, education, marital status, region, and quit attempts. Binge drinkers were more likely to be infrequent smokers and frequent smokers versus daily smokers. Current snuff users were found to have increased odds of infrequent smoking versus daily smoking and versus frequent smoking. These results highlight the importance of acknowledging the differences among nondaily smokers in smoking frequency in developing targeted tobacco control and smoking cessation programs.

Polytobacco Use and Nicotine Dependence Symptoms Among US Adults, 2012-2014.

Introduction: The tobacco product landscape has changed substantially. Little is known about the recent pattern of polytobacco use (at least two tobacco products) among US adults and its relationship to nicotine dependence. Methods: Using the 2012-2013 and 2013-2014 National Adult Tobacco Survey (NATS) data (N = 135 425 adults), we analyzed the prevalence and correlates of polytobacco use among each of the six categories of current tobacco user (cigarettes, cigars, pipes, hookah, e-cigarettes, and smokeless tobacco). Based on five nicotine dependence symptom measures from the NATS, difference in the prevalence of dependence symptoms between polytobacco and sole-product users for each category of tobacco user was assessed using multivariable regression analyses. Results: During 2012-2014, 25.1% of adults were current users of any tobacco product. Among them, 32.5% were poly users with the largest poly use category being dual use of cigarettes and e-cigarettes (30.2%). Poly use prevalence was the lowest among current cigarette smokers (38.7%), followed by current users of smokeless tobacco (52.4%), hookah (59.2%), cigars (69.3%), e-cigarettes (80.9%), and pipes (86.2%). Among each category of current tobacco user, the prevalence of dependence symptom was consistently greater in polytobacco users than sole users for every symptom measure. After controlling for frequency of use and demographic covariates, the difference in nicotine dependence between poly users and sole users was statistically significant and consistent across all symptom measures for each category of tobacco user. Conclusions: Between 52% and 86% of noncigarette tobacco users and nearly 40% of cigarette smokers engaged in polytobacco use. Poly users showed greater nicotine dependence than sole-product tobacco users. Implications: This study examines recent patterns of polytobacco use separately for US adult current cigarette smokers, cigar smokers, pipe smokers, hookah users, e-cigarette users, and smokeless tobacco users. By including more tobacco products, particularly e-cigarettes and hookah, this study provides more comprehensive insight into polytobacco use. This study is also unique in comparing nicotine dependence between polytobacco and sole-product users among each category of tobacco users. Our results indicate that polytobacco use is very common and is associated with greater likelihood of reporting nicotine dependence symptoms. Tobacco cessation policies and programs should be tailored to address polytobacco use.

Health Care Utilization and Expenditures Attributable to Smokeless Tobacco Use Among US Adults.

Introduction: This study estimated the health care utilization and expenditures attributable to the use of smokeless tobacco (ST) which includes chewing tobacco, snuff, dip, snus, and dissolvable tobacco among US adults aged 18 and older. Methods: We used data from the 2012-2015 National Health Interview Surveys (n = 139451 adults) to estimate a zero-inflated Poisson (ZIP) regression model on four health care utilization measures among US adults (hospital nights, emergency room [ER] visits, doctor visits, and home care visits) specified as a function of tobacco use status, and other covariates. Tobacco use status was classified into four categories: current ST users, former ST users, non-ST tobacco users, and never tobacco users. ST-attributable utilization was calculated based on the estimated ZIP model using an "excess utilization" approach. It was then multiplied by the unit cost estimated from the 2014 Medical Expenditures Panel Survey data to derive ST-attributable health care expenditures. Results: During 2012-2015, 2.1% of adults were current ST users and 7.7% were former ST users. ST-attributable health care utilization amounted to 681000 hospital nights, 624000 ER visits, and 4.6 million doctor visits per year (home care visits results were not significant). This resulted in annual excess expenditures of $1.8 billion for hospitalizations, $0.7 billion for ER visits, and $0.9 billion for doctor visits, totaling over $3.4 billion (in 2014 dollars). Conclusion: Comprehensive tobacco control policies and interventions are needed to reduce ST use and the associated health care burden. Implications: This is the first study to assess the impact of ST use on health care burden in the United States. Findings indicate that excess annual health care expenditures attributable to ST use for US adults were $3.4 billion in 2014 dollars.

Modelling the impact of a new tobacco product: review of Philip Morris International's Population Health Impact Model as applied to the IQOS heated tobacco product.

OBJECTIVES: We review the Population Health Impact Model (PHIM) developed by Philip Morris International and used in its application to the US Food and Drug Administration (FDA) to market its heated tobacco product (HTP), IQOS, as a modified-risk tobacco product (MRTP). We assess the model against FDA guidelines for MRTP applications and consider more general criteria for evaluating reduced-risk tobacco products. METHODS: In assessing the PHIM against FDA guidelines, we consider two key components of the model: the assumptions implicit in the model (outcomes included, relative harm of the new product vs cigarettes, tobacco-related diseases considered, whether dual or polyuse of the new product is modelled, and what other tobacco products are included) and data used to estimate and validate model parameters (transition rates between non-smoking, cigarette-only smoking, dual use of cigarettes and MRTP, and MRTP-only use; and starting tobacco use prevalence). RESULTS: The PHIM is a dynamic state transition model which models the impact of cigarette and MRTP use on mortality from four tobacco-attributable diseases. The PHIM excludes morbidity, underestimates mortality, excludes tobacco products other than cigarettes, does not include FDA-recommended impacts on non-users and underestimates the impact on other population groups. CONCLUSION: The PHIM underestimates the health impact of HTP products and cannot be used to justify an MRTP claim. An assessment of the impact of a potential MRTP on population health should include a comprehensive measure of health impacts, consideration of all groups impacted, and documented and justifiable assumptions regarding model parameters.

Responsiveness to cigarette prices by different racial/ethnic groups of US adults.

OBJECTIVE: To evaluate the impact of cigarette prices on adult smoking for four US racial/ethnic groups: whites, African-Americans, Asians and Hispanics. METHODS: We analysed pooled cross-sectional data from the 2006/2007 and 2010/2011 Tobacco Use Supplement to the Current Population Survey (n=339 921 adults aged 18+) and cigarette price data from the Tax Burden on Tobacco. Using a two-part econometric model of cigarette demand that controlled for sociodemographic characteristics, state-level antismoking sentiment, local-level smoke-free air laws and monthly indicator, we estimated for each racial/ethnic group the price elasticities of smoking participation, smoking intensity and total demand for cigarettes. RESULTS: Smoking prevalence for whites, African-Americans, Asians and Hispanics during the study period was 18.3%, 16.1%, 8.2% and 11.3%, respectively. The price elasticity of smoking participation was statistically significant for whites, African-Americans, Asians and Hispanics at -0.26, -0.10, -0.42 and -0.11, respectively. The price elasticity of smoking intensity was statistically significant among whites (-0.22) and African-Americans (-0.17). Overall, the total price elasticity of cigarette demand was statistically significant for all racial/ethnic groups: 0.48 for whites, -0.27 for African-Americans, -0.22 for Asians and -0.15 for Hispanics. CONCLUSIONS: Our results suggest that raising cigarette prices, such as via tobacco tax increases, would result in reduced cigarette consumption for all racial/ethnic groups. The magnitude of the effect and the impact on cessation and reduced smoking intensity differ across these groups.