Trends in non-daily cigarette smoking in England, 2006-2024.

BACKGROUND: Cigarette smoking is incredibly harmful, even for people who do not smoke every day. This study aimed to estimate trends in non-daily smoking in England between 2006 and 2024, how these differed across population subgroups, and to explore changes in the profile of non-daily smokers in terms of their sociodemographic and smoking characteristics and vaping and alcohol consumption. METHODS: Data were collected monthly between November 2006 and April 2024 as part of a nationally representative, repeat cross-sectional survey of adults (≥ 18 years; n = 353,711). We used logistic regression to estimate associations between survey wave and non-daily smoking and used descriptive statistics to characterise the profile of non-daily smokers across 3-year periods. RESULTS: The proportion who smoked non-daily was relatively stable between November 2006 and November 2013, at an average of 10.5% [10.1-10.9%] of cigarette smokers, then increased to 27.2% [26.0-28.4%] of cigarette smokers (4.0% [3.7-4.2%] of adults) by April 2024. This increase was particularly pronounced among younger adults (e.g. reaching 52.8%, 20.4%, and 14.4% of 18-, 45-, and 65-year-old cigarette smokers by April 2024) and those who vape (reaching 34.2% among vapers vs. 23.1% among non-vapers). Over time, there were reductions in non-daily smokers' mean weekly cigarette consumption (from 34.3 in 2006-2009 to 21.1 in 2021-2024), urges to smoke (e.g. the proportion reporting no urges increased from 29.2 to 38.0%), and motivation to stop smoking (e.g. the proportion highly motivated to quit within the next 3 months decreased from 30.8 to 21.0%). CONCLUSIONS: An increasing proportion of adults in England who smoke cigarettes do not smoke every day, particularly younger adults. Although non-daily smokers report smoking fewer cigarettes and weaker urges to smoke than they used to, which may make it easier for them to stop smoking, they appear to be decreasingly motivated to quit.

Longitudinal associations of e-cigarette use with cigarette, marijuana, and other drug use initiation among US adolescents and young adults: Findings from the population assessment of tobacco and health study (Waves 1-6).

INTRODUCTION: Research examining prospective links of e-cigarette use with cigarette, marijuana, and other substance use has been limited largely to 1-2-year follow-up periods and focused on younger adolescents. This study examined longitudinal associations of e-cigarette use with cigarette, marijuana, and other substance use initiation among U.S. adolescents and young adults (AYAs) across an eight-year period. METHODS: Adolescent (ages 12-17) and young adult (ages 18-25) data from waves 1-6 of the nationally representative Population Assessment of Tobacco and Health study (2013-2021) were used. Discrete time survival models with time-varying weights were employed to examine the risk of cigarette, marijuana, and other drug use initiation over an eight-year follow-up period among AYAs with no lifetime use of e-cigarettes/other tobacco, lifetime but no past 30-day use of e-cigarettes/other tobacco, past 30-day e-cigarettes only, other tobacco use only, or past 30-day e-cigarette/other tobacco use. We compare our time-varying weighting approach to a traditional time-invariant/complete case weighting approach. RESULTS: Across six follow-up waves, all three past 30-day nicotine/tobacco use groups, including e-cigarettes only, had greater risk for cigarette, marijuana, and other drug use initiation relative to those not using nicotine/tobacco. The three past 30-day nicotine/tobacco use groups did not differ from each other in risk for marijuana use initiation. Associations were smaller in magnitude for young adults compared to adolescents, but significant for both age groups. CONCLUSIONS: Substance use initiation risks persist beyond 1-2 years for U.S. AYAs using e-cigarettes. Prevention strategies to reduce AYA e-cigarette use are needed to reduce cancer-related risk.

Longitudinal association of exclusive and dual use of cigarettes and cigars with asthma exacerbation among US adults: a cohort study.

BACKGROUND: Cigar use among adults in the United States has remained relatively stable in the past decade and occupies a growing part of the tobacco marketplace as cigarette use has declined. While studies have established the detrimental respiratory health effects of cigarette use, the effects of cigar use need further characterization. In this study, we evaluate the prospective association between cigar use, with or without cigarettes, and asthma exacerbation. METHODS: We used data from Waves 1-5 (2013-2019) of the Population Assessment of Tobacco and Health Study to run generalized estimating equation models examining the association between time-varying, one-wave-lagged cigarette and cigar use and self-reported asthma exacerbation among US adults (18+). We defined our exposure as non-established (reference), former, exclusive cigarette, exclusive cigar, and dual use. We defined an asthma exacerbation event as a reported asthma attack in the past 12 months necessitating oral or injected steroid medication or asthma symptoms disrupting sleep at least once a week in the past 30 days. We adjusted for age, sex, race and ethnicity, household income, health insurance, established electronic nicotine delivery systems use, cigarette pack-years, secondhand smoke exposure, obesity, and baseline asthma exacerbation. RESULTS: Exclusive cigarette use (incidence rate ratio (IRR): 1.26, 95% confidence interval (CI): 1.03-1.54) and dual use (IRR: 1.41, 95% CI: 1.08-1.85) were associated with a higher rate of asthma exacerbation compared to non-established use, while former use (IRR: 1.01, 95% CI: 0.80-1.28) and exclusive cigar use (IRR: 0.70, 95% CI: 0.42-1.17) were not. CONCLUSION: We found no association between exclusive cigar use and self-reported asthma exacerbation. However, exclusive cigarette use and dual cigarette and cigar use were associated with higher incidence rates of self-reported asthma exacerbation compared to non-established use. Studies should evaluate strategies to improve cigarette and cigar smoking cessation among adults with asthma who continue to smoke.

Increased e-cigarette use prevalence is associated with decreased smoking prevalence among US adults.

BACKGROUND: If US adults who smoke cigarettes are switching to e-cigarettes, the effect may be observable at the population level: smoking prevalence should decline as e-cigarette prevalence increases, especially in sub-populations with highest e-cigarette use. This study aimed to assess such effects in recent nationally-representative data. METHODS: We updated a prior analysis with the latest available National Health Interview Survey data through 2022. Data were cross-sectional estimates of the yearly prevalence of smoking and e-cigarette use, respectively, among US adults and among specific age, race/ethnicity, and sex subpopulations. Non-linear models were fitted to observed smoking prevalence in the pre-e-cigarette era, with a range of 'cut-off' years explored (i.e., between when e-cigarettes were first introduced to when they became widely available). These trends were projected forward to predict what smoking prevalence would have been if pre-e-cigarette era trends had continued uninterrupted. The difference between actual and predicted smoking prevalence ('discrepancy') was compared to e-cigarette use prevalence in each year in the e-cigarette era to investigate whether the observed decline in smoking was statistically associated with e-cigarette use. RESULTS: Observed smoking prevalence in the e-cigarette era was significantly lower than expected based on pre-e-cigarette era trends; these discrepancies in smoking prevalence grew as e-cigarette use prevalence increased, and were larger in subpopulations with higher e-cigarette use, especially younger adults aged 18-34. Results were robust to sensitivity tests varying the analysis design. CONCLUSIONS: Population-level data continue to suggest that smoking prevalence has declined at an accelerated rate in the last decade in ways correlated with increased uptake of e-cigarette use.

Prevalence and Trends in Cigarette Smoking With and Without Tobacco Use Disorder Among Adults in the United States: 2010-2021.

Objective: Few national estimates are available on the prevalence of tobacco use disorder (TUD) in the United States (US), and most trials exclusively assess daily smoking rather than TUD. We examined the prevalence and trends in cigarette smoking with vs without TUD among adults.Methods: Data came from the 2010-2021 National Survey on Drug Use and Health (n = 483,982), a cross sectional, US representative dataset. A TUD composite variable was created based on established definitions (eg, DSM-5 symptoms). Weighted prevalence of past 30-day cigarette smoking, daily smoking (30/30 days) and nondaily smoking (<30/30 days) with and without TUD, was calculated annually.Results: In 2021, the prevalence of past 30- day overall cigarette smoking was 17%; 11% reported daily cigarette smoking, whereas 6% reported nondaily cigarette smoking. Only 1% of the population reported daily smoking without TUD, whereas 10% reported daily smoking with TUD. Two percent of the population reported nondaily smoking without TUD, and 4% of the population reported nondaily smoking with TUD. Daily smoking with TUD and nondaily smoking with and without TUD decreased significantly from 2010 to 2021 (all P's < .001). US adults reporting TUD symptoms (vs not) were more likely to be older, identify as White, have lower income and less education, and have a substance use disorder.Conclusions: The prevalence of daily cigarette smoking with TUD was 10× higher than the prevalence of daily cigarette smoking without TUD. Twice as many US adults with nondaily smoking reported TUD than no TUD, illustrating that daily smoking is not necessary for TUD.

Trends in marijuana and heavy alcohol use by cigarette smoking status among US adults: An analysis of the 2002-2019 NSDUH.

BACKGROUND: Polysubstance use is associated with adverse health outcomes, yet little research has measured changes in polysubstance use. We aimed to 1) estimate trends in marijuana and heavy alcohol use by cigarette smoking and demographic subgroups, and 2) examine patient factors associated with concurrent use among adults who were smoking. METHODS: We conducted a repeated cross-sectional analysis of 687,225 non-institutionalized US adults ≥18 years from the 2002-2019 National Survey on Drug Use and Health. Participants were stratified into current, former, and never smoking groups. Main outcomes were prevalence of heavy alcohol use, marijuana use, and concurrent use of both substances. RESULTS: From 2002-2019, heavy alcohol use declined from 7.8 % to 6.4 %, marijuana use rose from 6.0 % to 11.8 %, and concurrent use of alcohol and marijuana remained stable. Among adults who were smoking from 2005 to 2019, higher education was associated with higher odds of heavy alcohol use, while older ages, female gender, non-White race/ethnicity, and government-provided health insurance were associated with lower odds. The odds of marijuana use decreased in females, older ages, and higher incomes while increasing in people with poorer health status, higher education, government-provided or no health insurance, and serious mental illness. Compared to White adults who were smoking, Black counterparts had higher odds of marijuana use (OR=1.23; 95 %CI: 1.15-1.29), while Hispanic (OR=0.68; 95 %CI: 0.63-0.72) and other racial/ethnic identities (OR=0.83; 95 %CI: 0.77-0.90) had lower odds. CONCLUSIONS: Our study suggests marijuana use might not be sensitive to changes in the use of tobacco and alcohol.

Use of Menthol Cigarettes and Accessories Among Youth Who Smoked After the Menthol Cigarette Ban in England and Canada, 2021: Implications for Health Equity.

INTRODUCTION: This study examined menthol cigarette use among youth who smoked, after menthol cigarette bans were implemented in England (May 2020) and Canada (October 2017). AIMS AND METHODS: Cross-sectional data come from 2021 ITC Youth Tobacco and Vaping Survey respondents aged 16-19 who smoked in the past 30 d in England (N = 715) and Canada (N = 419). Adjusted logistic regression models, estimated separately for each country, examined sociodemographic correlates of usually smoking menthol cigarettes (reporting currently most often smoking menthol cigarettes) overall, and by past 30-d use of any menthol accessories (e.g., filters, capsules). Youth reported the cigarette variety they smoked most often, coded as menthol or nonmenthol. RESULTS: Almost no youth who smoked in the past 30 d reported most often smoking a cigarette variety coded as menthol. However, 34.5% (95% CI: 30.4% to 38.9%) of youth who smoke in England and 30.9% (26.0%-36.3%) in Canada reported usually smoking menthol cigarettes, with greater odds of use among those identifying as black, or other race/ethnicity, respectively, compared to white in England (60.0%, aOR = 3.08, p = .001; 47.4%, aOR = 2.27, p = .011) and Canada (43.6%, aOR = 2.44, p = .046; 51.2%, aOR = 2.92, p = .001). Among those who reported usually smoking menthol cigarettes in England (N = 223) and Canada (N = 108), 71.7% (64.0%-78.2%) and 51.5% (41.1%-61.7%) reported using menthol accessories. CONCLUSIONS: After menthol cigarette bans in England and Canada, approximately one-third of youth who smoked reported usually smoking menthol cigarettes, with disproportionately higher use among those identifying as black and other race/ethnicity. Menthol accessories accounted for most menthol cigarette use. Closing regulatory loopholes is critical to advancing public health equity. IMPLICATIONS: Use of menthol cigarette accessories (eg, filters, cards, capsules) among youth who smoked was prevalent after implementation of menthol cigarette bans in England and Canada, and there was disproportionately higher use among those who identified as black and any other race/ethnicity. Efforts are therefore required to close regulatory loopholes of menthol cigarette bans. Findings further support countries, such as the United States, proposing menthol cigarette bans which extend coverage to accessories. More comprehensive menthol bans that also restrict accessories are likely to be more effective in reducing flavored tobacco use among young people and in advancing health equity.

Prevalence of cigarette use and addiction among Chinese females by age and province: Findings from nationwide China Health Literacy Survey during 2018-19.

BACKGROUND: The prevalence of cigarette smoking among women is significantly different from that of men, however, cigarette use by women is little known. The study aims to describe cigarette use prevalence and patterns among Chinese females by age and province. METHODS: This study was based on the 2018 China Health Literacy Survey (2018 CHLS), a nationally representative cross-sectional study, and our analysis included 43,319 female participants aged 20-69 with valid data. The prevalence of cigarette use was estimated overall by sociodemographic factors and weighted based on the census population data. The logistic regression model was conducted to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for the risk factors associated with cigarette use and dependency. RESULTS: In China, the estimated female current cigarette use prevalence was 1.85%, with over half of the population suffering from tobacco dependence (7.34 million). Jilin Province has the highest cigarette prevalence among women (10.59%), while Fujian Province has the lowest (0.27%). Participants over 60 years old (aOR=1.61, 95%CI=1.20-2.14), single (aOR=1.54, 95%CI=1.07-2.21), with primary education (aOR=1.93, 95%CI=1.47-2.52) were more likely to smoke. The age of smoking initiation among women intergenerational advanced, and compared to the cigarette users without tobacco dependence, those who have tobacco dependence start smoking earlier in all age groups (25.69 years vs. 19.36 years, p<0.001). CONCLUSIONS: The cigarette use prevalence among Chinese women was 1.85%, and there are significant differences among provinces. We noted a trend of women initiating smoking at increasingly younger ages, particularly among those with tobacco dependence.

Comparison of Indicators of Dependence for Vaping and Smoking: Trends Between 2017 and 2022 Among Youth in Canada, England, and the United States.

INTRODUCTION: The current study sought to examine trends in indicators of dependence for youth vaping and smoking during a period of rapid evolution in the e-cigarette market. AIMS AND METHODS: Data are from repeat cross-sectional online surveys conducted between 2017 and 2022 among youth aged 16-19 in Canada, England, and the United States (US). Participants were 23 145 respondents who vaped and/or smoked in the past 30 days. Four dependence indicators were assessed for smoking and vaping (perceived addiction, frequent strong urges, time to first use after waking, days used in past month) and two for vaping only (use events per day, e-cigarette dependence scale). Regression models examined differences by survey wave and country, adjusting for sex, age, race, and exclusive/dual use. RESULTS: All six indicators of dependence increased between 2017 and 2022 among youth who vaped in the past 30 days (p < .001 for all). For example, more youth reported strong urges to vape at least most days in 2022 than in 2017 (Canada: 26.5% to 53.4%; England: 25.5% to 45.4%; US: 31.6% to 50.3%). In 2017, indicators of vaping dependence were substantially lower than for smoking; however, by 2022, youth vaping was associated with a greater number of days used in the past month (Canada, US), shorter time to first use (all countries), and a higher likelihood of frequent strong urges (Canada, US) compared to youth smoking. CONCLUSIONS: From 2017 to 2022, indicators of vaping dependence increased substantially. By 2022, vaping dependence indices were comparable to those of smoking. IMPLICATIONS: Indicators of vaping dependence among youth have increased substantially since 2017 to levels that are comparable to cigarette dependence among youth who smoke. Future research should examine factors underlying the increase in dependence among youth who vape, including changes to the nicotine profile and design of e-cigarette products.

Trends in Urinary Biomarkers of Exposure to Nicotine and Carcinogens Among Adult e-Cigarette Vapers vs Cigarette Smokers in the US, 2013-2019.

This study assesses temporal trends of biomarkers among adult nicotine and nonnicotine e-cigarette users and cigarette smokers.

The effect of emerging tobacco related products and their toxic constituents on thrombosis.

Although conventional cigarette smoking is declining, emerging tobacco related products (ETRPs) are currently gaining ground, especially among the youth. These products include electronic cigarettes, waterpipes/hookah, cigars/cigarillo, smokeless tobacco, and heat-not-burn cigarettes. The observed increase in the use of ETRPs is multifactorial and complex but appears to be mainly driven by efforts from the major tobacco companies to reinvent themselves, and present more appealing and allegedly safe(r) tobacco products. However, it is becoming apparent that these products produce substantial amounts of toxic chemicals, many of which have been shown to exert negative health effects, including in the context of the cardiovascular system. Thus, there has been research efforts, albeit limited in general, to characterize the health impact of these products on occlusive/thrombotic cardiovascular diseases (CVD). In this review, we will discuss the potential impact of ETRPs on thrombosis-based CVD. Specifically, we will review how these products and the major chemicals they produce and/or emit can trigger key players in the process of thrombosis, namely inflammation, oxidative stress, platelets, coagulation, and the vascular endothelium, and the relationship between these effects.

The impact of changing cigarette smoking habits and smoke-free legislation on orofacial cleft incidence in the United Kingdom: Evidence from two time-series studies.

BACKGROUND: Both active and passive cigarette smoking have previously been associated with orofacial cleft aetiology. We aimed to analyse the impact of declining active smoking prevalence and the implementation of smoke-free legislation on the incidence of children born with a cleft lip and/or palate within the United Kingdom. METHODS AND FINDINGS: We conducted regression analysis using national administrative data in the United Kingdom between 2000-2018. The main outcome measure was orofacial cleft incidence, reported annually for England, Wales and Northern Ireland and separately for Scotland. First, we conducted an ecological study with longitudinal time-series analysis using smoking prevalence data for females over 16 years of age. Second, we used a natural experiment design with interrupted time-series analysis to assess the impact of smoke-free legislation. Over the study period, the annual incidence of orofacial cleft per 10,000 live births ranged from 14.2-16.2 in England, Wales and Northern Ireland and 13.4-18.8 in Scotland. The proportion of active smokers amongst females in the United Kingdom declined by 37% during the study period. Adjusted regression analysis did not show a correlation between the proportion of active smokers and orofacial cleft incidence in either dataset, although we were unable to exclude a modest effect of the magnitude seen in individual-level observational studies. The data in England, Wales and Northern Ireland suggested an 8% reduction in orofacial cleft incidence (RR 0.92, 95%CI 0.85 to 0.99; P = 0.024) following the implementation of smoke-free legislation. In Scotland, there was weak evidence for an increase in orofacial cleft incidence following smoke-free legislation (RR 1.16, 95%CI 0.94 to 1.44; P = 0.173). CONCLUSIONS: These two ecological studies offer a novel insight into the influence of smoking in orofacial cleft aetiology, adding to the evidence base from individual-level studies. Our results suggest that smoke-free legislation may have reduced orofacial cleft incidence in England, Wales and Northern Ireland.

Trends of maternal waterpipe, cigarettes, and dual tobacco smoking in Jordan. A decade of lost opportunities.

BACKGROUND: Maternal tobacco use is a global public health problem. In the literature, the focus was mainly on cigarette smoking, minimally on waterpipe use, and totally ignored dual use among pregnant women. We estimated the prevalence of current maternal tobacco use by tobacco product (cigarette, waterpipe, and dual use) over a period of ten years (2007 to 2017), and examined the socio-demographic patterning of maternal tobacco use. METHODS: A secondary analysis of Jordan DHS four data waves was conducted for women who reported to be pregnant at the time of the survey. Current cigarette and waterpipe tobacco use were investigated. Prevalence estimates for cigarette-only, waterpipe-only, and dual use, as well as for cigarette, regardless of waterpipe, and waterpipe, regardless of cigarette, were reported. The effect of independent variables on cigarette smoking, waterpipe use, and dual use was assessed. Logistic regression models assessed the adjusted effects of socio-demographic variables on cigarette smoking, waterpipe use, and on dual use. For each outcome variable, a time-adjusted and a time-unadjusted logistic models were conducted. RESULTS: Over the last decade, the prevalence estimates of current cigarette-only smoking slightly decreased. The prevalence estimates of current waterpipe-only use exceeded those for cigarette-only after 2007 and showed a steady overall increase. Current dual use showed a continuous rise especially after 2009. Gradual increase in cigarette smoking (4.1%, in 2007, and 5.7% in 2017) and in waterpipe use (2.5% to 6.4%) were detected. Education showed an inverse relationship with cigarette and waterpipe smoking. Household wealth demonstrated a positive association with cigarette and waterpipe smoking. CONCLUSIONS: Tobacco use epidemic is expanding its roots among pregnant women in Jordan through not only waterpipe use but also dual cigarette-waterpipe smoking. Maternal and child services should consider tobacco counseling and cessation.

The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking.

BACKGROUND: Nondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico. METHODS: A previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels. RESULTS: Between 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15-44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending. CONCLUSIONS: Although Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

Prevalence and Trends in Smoking Among Surgical Patients in Michigan, 2012-2019.

Importance: Surgery is a teachable moment, and smoking cessation interventions that coincide with an episode of surgical care are especially effective. Implementing these interventions at a large scale requires understanding the prevalence and characteristics of smoking among surgical patients. Objectives: To describe the prevalence of smoking in a population of patients undergoing common surgical procedures and to identify any clinical or demographic characteristics associated with smoking. Design, Setting, and Participants: This cross-sectional study included all adult patients (aged ≥18 years) in a statewide registry who underwent general and vascular surgical procedures from 2012 to 2019 at 70 hospitals in Michigan. Data analysis was conducted from August to October 2020. Exposures: Undergoing a surgical procedure in any of the following categories: appendectomy, cholecystectomy, colon procedures, gastric or esophageal procedures, hepatopancreatobiliary procedures, hernia repair, small-bowel procedures, hysterectomy, vascular procedures, thyroidectomy, and other unspecific abdominal procedures. Main Outcomes and Measures: The prevalence of smoking prior to surgery, defined as cigarette use in the year prior to surgery, obtained from medical record review. Multivariable logistic regression was performed to analyze smoking prevalence based on insurance type and year of surgery while adjusting for demographic and clinical factors, including age, sex, race/ethnicity (determined from the medical record), insurance type, geographic region, comorbidities (ie, hypertension, diabetes, congestive heart failure, chronic obstructive pulmonary disease, chronic steroid use, and obstructive sleep apnea), American Society of Anesthesiologists classification, admission status, surgical priority, procedure type, and year of surgery. Results: From 2012 to 2019, 328 578 patients underwent surgery and were included in analysis. Mean (SD) age was 54.0 (17.0) years, and 197 501 patients (60.1%) were women. The overall prevalence of smoking was 24.1% (79 152 patients). Prevalence varied regionally from 21.5% (95% CI, 21.0%-21.9%; 6686 of 31 172 patients) in southeast Michigan to 28.0% (95% CI, 27.1%-28.9%; 2696 of 9614 patients) in northeast Michigan. When adjusting for clinical and demographic factors, there were greater odds of smoking among patients with Medicaid (odds ratio [OR], 2.75; 95% CI, 2.69-2.82) and patients without insurance (OR, 2.21; 95% CI, 2.10-2.33) compared with patients with private insurance. Among procedure categories, patients undergoing vascular surgery had greater odds of smoking (OR, 3.24; 95% CI, 3.11-3.38) than those undergoing cholecystectomy. Compared with 2012, the adjusted odds of smoking decreased significantly each year (eg, 2019: OR, 0.78; 95% CI, 0.74-0.81). In 2019, the adjusted prevalence of smoking was 22.3% (95% CI, 22.0%-22.7%) among all patients, 43.0% (95% CI, 42.4%-43.6%) among patients with Medicaid, and 36.3% (95% CI, 35.2%-37.4%) among patients without insurance. Conclusions and Relevance: In a statewide population of surgical patients, nearly one-quarter of patients smoked cigarettes, which is higher than the national average. The prevalence of smoking was especially high among patients without insurance and among those receiving Medicaid. Given the established association between undergoing a major surgical procedure and health behavior change, targeted smoking cessation interventions at the time of surgery may be an effective strategy to improve population health, especially among at-risk patient groups.

Trends in Prevalence of Cigarette Smoking in Brazil: 2006-2019.

Objectives. To analyze trends in cigarette smoking among Brazilian adults from 2006 to 2019.Methods. We performed a time-series analysis based on data from the Surveillance of Risk and Protective Factors for Chronic Diseases Telephone Survey (n = 730 309). We calculated the annual prevalence of current cigarette smokers, heavy smokers, and passive smokers in the workplace and investigated linear trends using Prais-Winsten regression, for the entire period and for the past 5 years. We performed the analyses for the total population and according to the sociodemographic characteristics.Results. The prevalence of cigarette smoking, heavy smoking, and passive smoking in the workplace declined, respectively, an average of 3.99% per year, 5.65% per year, and 6.55% per year from 2006 to 2019. We observed this reduction regardless of gender, age, educational level, and geographic region. The magnitude of reduction in the prevalence of current cigarette smoking decreased in the past 5 years, while the magnitude of the change in heavy smoking increased.Conclusions. The prevalence of cigarette smoking decreased in the time period studied. The smaller magnitude of reduction for current cigarette smoking in the most recent years might indicate a fatigue with the current policy scenario.

Prevalence and trends in tobacco use among adolescents aged 13-15 years in 143 countries, 1999-2018: findings from the Global Youth Tobacco Surveys.

BACKGROUND: Tobacco use is a leading preventable cause of morbidity and mortality worldwide. Little is known about recent prevalence and trends in tobacco use among adolescents globally. We aimed to assess the recent global prevalence of tobacco use in young adolescents and the secular trends in prevalence between 1999 and 2018. METHODS: We used the most recent Global Youth Tobacco Surveys data on adolescents aged 13-15 years from 143 countries or territories that had done at least one survey between Jan 1, 2010, and Dec 31, 2018, to assess the recent prevalence of tobacco use; and data from 140 countries that had done two or more surveys between Jan 1, 1999, and Dec 31, 2018, to assess the trends in the prevalence of tobacco use. FINDINGS: 530 234 adolescents were included from the 143 countries that had done at least one survey between 2010 and 2018. 1 192 312 adolescents were included from the 140 countries that had done two or more surveys between 1999 and 2018. The most recent global prevalence of cigarette smoking was 11·3% (95% CI 10·3-12·3) in boys and 6·1% (5·6-6·6) in girls, based on cigarette smoking on at least 1 day during the past 30 days, 6·0% (5·5-6·6) and 2·6% (2·4-2·9) based on smoking on at least 3 days, and 4·2% (3·8-4·6) and 1·6% (1·4-1·8) based on smoking on at least 6 days. The most recent prevalence of the use of tobacco products other than cigarettes (eg, chewing tobacco, snuff, dip, cigars, cigarillos, pipe, electronic cigarettes) on at least 1 day during the past 30 days was 11·2% (9·9-12·6) in boys and 7·0% (6·4-7·7) in girls. The most recent prevalence of any tobacco use on at least 1 day during the past 30 days was 17·9% (16·1-19·6) in boys and 11·5% (10·5-12·4) in girls. The prevalence of cigarette smoking on at least 1 day during the past 30 days decreased between the first and last surveys in 80 (57·1%) of 140 countries, was unchanged in 39 countries (27·9%), and increased in 21 countries (15·0%). However, the prevalence of the use of tobacco products other than cigarettes was unchanged or increased in 81 (59·1%) of 137 countries. INTERPRETATION: The global prevalence of tobacco use among adolescents aged 13-15 years was substantial. Although the prevalence of cigarette smoking decreased over time in the majority of countries, the prevalence of the use of other tobacco products increased or did not change in the majority of countries during the past two decades. These findings re-emphasise the need to strengthen tobacco control efforts among young adolescents globally. FUNDING: Shandong University.

National, regional, and global prevalence of cigarette smoking among women/females in the general population: a systematic review and meta-analysis.

BACKGROUND: This systematic and meta-analysis review aimed to provide an updated estimate of the prevalence of ever and current cigarette smoking in women, in geographic areas worldwide, and demonstrate a trend of the prevalence of smoking over time by using a cumulative meta-analysis. METHODS: Following PRISMA guidelines, we conducted a systematic review and meta-analysis of studies published on the prevalence of ever and current cigarette smoking in women. We searched PubMed, Web of Science (ISI), Scopus, and Ovid from January 2010 to April 2020. The reference lists of the studies included in this review were also screened. Data were reviewed and extracted independently by two authors. A random effects model was used to estimate the pooled prevalence of ever and current cigarette smoking in women. Sources of heterogeneity among the studies were determined using subgroup analysis and meta-regression. RESULTS: The pooled prevalence of ever and current cigarette smoking in women was 28% and 17%, respectively. The pooled prevalence of ever cigarette smoking in adolescent girls/students of the school, adult women, pregnant women, and women with the disease was 23%, 27%, 32%, and 38%, respectively. The pooled prevalence of ever cigarette smoking in the continents of Oceania, Asia, Europe, America, and Africa was 36%, 14%, 38%, 31%, and 32%, respectively. CONCLUSIONS: The prevalence of cigarette smoking among women is very high, which is significant in all subgroups of adolescents, adults, and pregnant women. Therefore, it is necessary to design and implement appropriate educational programs for them, especially in schools, to reduce the side effects and prevalence of smoking among women.

Use of E-cigarettes and Other Tobacco Products and Progression to Daily Cigarette Smoking.

OBJECTIVES: To identify predictors of becoming a daily cigarette smoker over the course of 4 years. METHODS: We identified 12- to 24-year-olds at wave 1 of the US Population Assessment of Tobacco and Health Study and determined ever use, age at first use, and daily use through wave 4 for 12 tobacco products. RESULTS: Sixty-two percent of 12- to 24-year-olds (95% confidence interval [CI]: 60.1% to 63.2%) tried tobacco, and 30.2% (95% CI: 28.7% to 31.6%) tried ≥5 tobacco products by wave 4. At wave 4, 12% were daily tobacco users, of whom 70% were daily cigarette smokers (95% CI: 67.4% to 73.0%); daily cigarette smoking was 20.8% in 25- to 28-year-olds (95% CI: 18.9% to 22.9%), whereas daily electronic cigarette (e-cigarette) vaping was 3.3% (95% CI: 2.4% to 4.4%). Compared with single product triers, the risk of progressing to daily cigarette smoking was 15 percentage points higher (adjusted risk difference [aRD] 15%; 95% CI: 12% to 18%) among those who tried ≥5 products. In particular, e-cigarette use increased the risk of later daily cigarette smoking by threefold (3% vs 10%; aRD 7%; 95% CI: 6% to 9%). Daily smoking was 6 percentage points lower (aRD -6%; 95% CI: -8% to -4%) for those who experimented after age 18 years. CONCLUSIONS: Trying e-cigarettes and multiple other tobacco products before age 18 years is strongly associated with later daily cigarette smoking. The recent large increase in e-cigarette use will likely reverse the decline in cigarette smoking among US young adults.

Changes in Tobacco Use During the 2020 COVID-19 Lockdown in New Zealand.

INTRODUCTION: New Zealand's response to the COVID-19 pandemic was one of the most restrictive lockdowns of any country, inevitably causing stress for many people. Because situations that increase stress and anxiety are associated with higher smoking prevalence, we examined self-reported smoking before and during the lockdown, and analyzed factors associated with reported changes in cigarette consumption. AIMS AND METHODS: We conducted an online panel survey of a demographically representative sample of 2010 adult New Zealanders during the COVID-19 lockdown; the final, weighted sample included 261 daily smokers and 71 weekly smokers. We measured psychological distress and anxiety, as well as situational factors, tobacco consumption, and demographic attributes. RESULTS: Nearly half of daily smokers reported smoking more during than before the lockdown, on average, an increase of six cigarettes a day; increased daily cigarette consumption was associated with loneliness and isolation. Most weekly smokers reported either that their smoking during the lockdown had not changed or had slightly reduced. CONCLUSIONS: Smoking cessation services need to anticipate that unexpected disruptions, such as pandemic lockdowns, may be associated with increased daily tobacco consumption, and that this increase may be sustained after lockdown. While public health responses to pandemics predictably focus on immediate and obvious consequences, interventions to support recent quitters and those making quit attempts should also form a key component of pandemic planning. IMPLICATIONS: As governments introduce unprecedented measures to manage COVID-19, they need also to consider other public health risks, such as increased smoking among current smokers or relapse among recent quitters. Evidence that loneliness was associated with increased smoking during a lockdown suggests a need for cessation out-reach strategies that promote and support smoke-free practices.