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.

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.

Delay discounting rate by a surrogate decision maker depends on the smoking status of the recipient.

The tendency to devalue future rewards is known as delay discounting. Discounting is measured using a series of intertemporal choices between smaller, sooner outcomes and larger, later outcomes. We used a surrogate delay discounting task to explore whether such choices would differ if a hypothetical recipient was a smoker or was an individual with good health habits. Across three studies, the descriptions of the recipient included only information about smoking status (n = 66), smoking status and equal annual income (n = 47), and smoking status and equal weekly expenditures (n = 42). Higher rates of delay discounting for the smoker recipient compared to the nonsmoker recipient were observed across all three studies. These results parallel previous findings showing group differences in discounting between actual smokers and nonsmokers. We discuss the similarities between the present results and previous studies in light of an extension of Bem's (1967) self-perception theory, which posits that choices in laboratory-based delay discounting tasks are informed by observation of real-world intertemporal choice. The theory asserts that there is no fundamental difference between a first-person account of such knowledge and a third-person account. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Trends in youth e-cigarette and cigarette use between 2013 and 2019: insights from repeat cross-sectional data from the COMPASS study.

OBJECTIVES: E-cigarettes are an increasingly popular product among youth in Canada. However, there is a lack of long-term data presenting trends in use. As such, the objective of this study was to examine trends in e-cigarette and cigarette use across various demographic characteristics between 2013 and 2019 among a large sample of secondary school youth in Canada. METHODS: Using repeat cross-sectional data from a non-probability sample of students in grades 9 to 12, this study explored trends in the prevalence of ever and current e-cigarette use and cigarette smoking between 2013-2014 and 2018-2019 in British Columbia, Alberta, Ontario, and Quebec. Trends in ever and current e-cigarette use and cigarette smoking were studied across demographic variables among students in Ontario. RESULTS: The prevalence of e-cigarette ever and current use was variable across province and increased over time, particularly between 2016-2017 and 2018-2019. In contrast, the prevalence of current cigarette smoking was relatively stable over the study period, decreasing significantly in Alberta and Ontario between 2017-2018 and 2018-2019. In Ontario, the prevalence of ever and current e-cigarette use increased among all grades, both genders, and all ethnicities. CONCLUSION: Consistent with data from the United States, the prevalence of e-cigarette use among our large sample of Canadian youth has increased substantially in a short period of time. Surveillance systems should continue to monitor the prevalence of tobacco use among youth. Additional interventions may be necessary to curb e-cigarette use among Canadian youth.

RéSUMé: OBJECTIFS: Les cigarettes électroniques sont de plus en plus populaires auprès des jeunes au Canada. Il manque cependant de données à long terme sur les tendances de leur usage. C'est pourquoi nous avons cherché à examiner les tendances de l'usage des cigarettes électroniques et des cigarettes selon diverses caractéristiques démographiques entre 2013 et 2019 dans un vaste échantillon de jeunes fréquentant l'école secondaire au Canada. MéTHODE: À l'aide de données transversales répétées d'un échantillon non probabiliste d'élèves de la 9e à la 12e année, l'étude a exploré les tendances de la prévalence de l'usage antérieur et actuel des cigarettes électroniques et des cigarettes entre 2013-2014 et 2018-2019 en Colombie-Britannique, en Alberta, en Ontario et au Québec. Les tendances de l'usage antérieur et actuel des cigarettes électroniques et des cigarettes ont été étudiées pour diverses variables démographiques chez les élèves de l'Ontario. RéSULTATS: La prévalence de l'usage antérieur et actuel des cigarettes électroniques varie selon la province et a augmenté avec le temps, particulièrement entre 2016-2017 et 2018-2019. Par contre, la prévalence de l'usage actuel des cigarettes a été relativement stable sur la période de l'étude et a sensiblement diminué en Alberta et en Ontario entre 2017-2018 et 2018-2019. En Ontario, la prévalence de l'usage antérieur et actuel des cigarettes électroniques a augmenté chez les élèves de toutes les années, des deux sexes et de toutes les origines ethniques. CONCLUSION: Comme pour les données des États-Unis, la prévalence de l'usage des cigarettes électroniques dans notre vaste échantillon de jeunes Canadiens a considérablement augmenté sur une courte période. Les systèmes de surveillance devraient continuer à surveiller la prévalence du tabagisme chez les jeunes. Des interventions supplémentaires pourraient être nécessaires pour freiner l'usage des cigarettes électroniques chez les jeunes Canadiens.

Setting a goal could help you control: Comparing the effect of health goal versus general episodic future thinking on health behaviors among cigarette smokers and obese individuals.

Episodic Future Thinking (EFT) reduces delay discounting (DD; preference for smaller, immediate rewards) and various maladaptive behaviors. Exploring potential personalization of EFT to optimize its ability to alter DD and demand for unhealthy reinforcers is important for the development of interventions targeting long-term improvement and maintenance of health. In this investigation, using 2 separate studies, we examined the effects of EFT with and without a health goal on rates of discounting, demand, and craving for cigarettes and fast food among cigarette smokers and obese individuals, respectively. Using data collected from Amazon Mechanical Turk (mTurk), Study 1 (N = 189) examined the effect of EFT on DD and measures of cigarette demand and craving in cigarette smokers who were randomly assigned to 1 of 3 conditions: EFT-health goal, EFT-general, or Episodic Recent Thinking (ERT)-general. Study 2 (N = 255), using a 2x2 factorial design, examined the effects of health goals and general EFT on DD and measures of fast food demand and craving in obese individuals who were randomly assigned to 1 of 4 conditions: EFT-health goal, EFT-general, ERT-health goal or ERT-general. Health goal EFT was not more effective than general EFT in reducing monetary discounting. However, the addition of a health goal to general EFT was significantly associated with higher effect on intensity and elasticity of demand for cigarettes and fast food compared to EFT without a health goal. These findings suggest that the amplification of future thinking through the inclusion of a health goal may promote healthy decisions and result in positive behavior changes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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.

Association of Electronic Cigarette Use With Incident Respiratory Conditions Among US Adults From 2013 to 2018.

Importance: Generating robust and timely evidence about the respiratory health risks of electronic cigarettes (e-cigarettes) is critical for informing state and federal regulatory standards for product safety. Objective: To examine the association of e-cigarette use with incident respiratory conditions, including chronic obstructive pulmonary disease (COPD), emphysema, chronic bronchitis, and asthma. Design, Setting, and Participants: This prospective cohort study used data from the nationally representative cohort of US adults from the Population Assessment of Tobacco and Health (PATH) study, including wave 1 from 2013 to 2014, wave 2 from 2014 to 2015, wave 3 from 2015 to 2016, and wave 4 from 2016 to 2018. Individuals aged 18 years and older at baseline with no prevalent respiratory conditions were included in the analyses. Analyses were conducted from February to July 2020. Exposures: e-Cigarette use was assessed by self-reported current use status (never, former, or current) at baseline. Main Outcomes and Measures: Incident respiratory conditions, including COPD, emphysema, chronic bronchitis, and asthma, as well as a composite respiratory disease encompassing all 4 conditions. Results: Among 21 618 respondents included in the analyses, 11 017 (491%) were men and 12 969 (65.2%) were non-Hispanic White. A total of 14 213 respondents were never e-cigarette users, 5076 respondents (11.6%) were former e-cigarette users, and 2329 respondents (5.2%) were current e-cigarette users. Adjusted for cigarette and other combustible tobacco product use, demographic characteristics, and chronic health conditions, there was an increased risk of respiratory disease among former e-cigarette uses (incidence rate ratio [IRR], 1.28; 95% CI, 1.09-1.50) and current e-cigarette users (IRR, 1.31; 95% CI, 1.08-1.59). Among respondents with good self-rated health, the IRR for former e-cigarette users was 1.21 (95%CI, 1.00-1.46) and the IRR for current e-cigarette users was 1.43 (95% CI, 1.14-1.79). For specific respiratory diseases among current e-cigarette users, the IRR was 1.33 (95% CI, 1.06-1.67) for chronic bronchitis, 1.69 (95% CI, 1.15-2.49) for emphysema, 1.57 (95% CI, 1.15-2.13) for COPD, and 1.31 (95% CI, 1.01-1.71) for asthma. Conclusions and Relevance: This cohort study found that e-cigarette use was associated with an increased risk of developing respiratory disease independent of cigarette smoking. These findings add important evidence on the risk profile of novel tobacco products.

Prevalence and Trends in Cigarette Smoking Among Adults with Epilepsy - United States, 2010-2017.

Cigarette smoking remains the leading cause of preventable disease and death in the United States (1). Although the percentage of all U.S. adults who smoke cigarettes has declined substantially since the mid-1960s (1,2), marked disparities persist, and declines have not been consistent across population groups (1,2). Studies have shown that cigarette smoking is as common, and sometimes more so, among adults with a history of epilepsy compared with those without a history of epilepsy, but reasons for this are unclear (3-6). Compared with adults without epilepsy, adults with epilepsy report lower household income, more unemployment and disability, worse psychological health, and reduced health-related quality of life (3,4,6,7). Trends in cigarette smoking among U.S. adults with epilepsy have not been previously assessed. CDC analyzed National Health Interview Survey (NHIS) data among 121,497 U.S. adults from 2010, 2013, 2015, and 2017 to assess current cigarette smoking by epilepsy status. From 2010 through 2017, the age-standardized percentages of current smoking were 24.9% among adults with active epilepsy, 25.9% among adults with inactive epilepsy, and 16.6% among adults with no history of epilepsy. After accounting for differences in data collection intervals and patterns in smoking status among subgroups, CDC found that current cigarette smoking declined significantly from 2010 to 2017 among adults with no history of epilepsy (19.3% to 14.0% [p<0.001]) and inactive epilepsy (29.2% to 16.2% [p = 0.03]), but declines among adults with active epilepsy were not statistically significant (26.4% to 21.8% [p = 0.2]). Epilepsy health and social service providers should promote smoking cessation resources to adults with active epilepsy who smoke cigarettes to help them quit smoking and to reduce their risk of smoking-related disease and death.