Dataset Information

Cigarette smoking quit rates among adults with and without alcohol use disorders and heavy alcohol use, 2002-2015: A representative sample of the United States population.

ABSTRACT: BACKGROUND:While the overall smoking quit rate has increased over time, it is not known whether the quit rate has also increased among persons with alcohol use disorders (AUDs) or heavy alcohol use (HAU). The current study examined quit rates among adults with and without AUDs and HAU over a 12-year period in a representative sample of US adults. METHODS:Data were drawn from the National Household Survey on Drug Use, an annual cross-sectional study of US persons. Quit rate (i.e., the rate of former smokers to ever smokers) was calculated annually from 2002 to 2014 (for HAU) and 2015 (for AUD). Time trends in quit rates by AUD/HAU status were tested using linear regression. RESULTS:The prevalence of past-month cigarette smoking was much higher for persons with, compared to without, AUDs (38% vs. 18%) and HAU (49% vs. 19%). In the most recent data year, the quit rate for persons with AUDs was approximately half that of persons without AUDs (26% versus 49%) and for persons with HAU was less than half that of persons without HAU (22% versus 48%). Over time, the smoking quit rate increased for persons with and without AUDs/HAU and the rate of increase was greater for persons with AUDs/HAU. Yet, quit rates for persons with AUDs and HAU remained much lower than persons without AUDs and HAU. CONCLUSIONS:It may be beneficial for public health and clinical efforts to incorporate screenings and treatment for tobacco use into programs for adults with AUDs and HAU.

SUBMITTER: Weinberger AH

PROVIDER: S-EPMC5693304 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Cigarette smoking quit rates among adults with and without alcohol use disorders and heavy alcohol use, 2002-2015: A representative sample of the United States population.

Weinberger Andrea H AH Gbedemah Misato M Goodwin Renee D RD

Drug and alcohol dependence 20170805

<h4>Background</h4>While the overall smoking quit rate has increased over time, it is not known whether the quit rate has also increased among persons with alcohol use disorders (AUDs) or heavy alcohol use (HAU). The current study examined quit rates among adults with and without AUDs and HAU over a 12-year period in a representative sample of US adults.<h4>Methods</h4>Data were drawn from the National Household Survey on Drug Use, an annual cross-sectional study of US persons. Quit rate (i.e., ...[more]

PMID: 28918239

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Project description:IntroductionAlthough many studies have examined the association between e-cigarette use and smoking cessation, fewer have considered the impact of e-cigarette flavors on cessation outcomes. This study extends previous studies by examining the effects of e-cigarette use and e-cigarette flavors on quit attempts and quit success of smoking.Aims and methodsWe used data from the 2018-2019 Tobacco Use Supplement-Current Population Survey (TUS-CPS) survey. Multivariate logistic regression analyses were used to investigate the associations between flavored e-cigarette use with quit attempts and quit success of smoking among individuals who smoked 12 months ago. Two current e-cigarette use definitions were used in these logistic regression analyses; currently use every day or some days versus 20+ days in the past 30 days.ResultsCompared to those not using e-cigarettes, current every day or someday e-cigarette use with all nontobacco flavors had an adjusted odds ratio (AOR) of 2.9 (95% CI: 2.4 to 3.5) for quit attempts and 1.7 (95% CI: 1.3 to 2.2) for quit success. 20+ days e-cigarette use with flavors had stronger associations with quit attempts (AOR = 4.2, 95% CI: 3.1 to 5.5) and quit success (AOR = 4.0, 95% CI: 2.9 to 5.4). E-cigarette users with nontobacco flavors were more likely to succeed in quitting compared to those exclusively using non-flavored or tobacco-flavored e-cigarettes. Menthol or mint flavor users had slightly higher odds of quit attempts and success than users of other nontobacco flavors.ConclusionsE-cigarette use is positively associated with both making smoking quit attempts and quit success. Those using flavored e-cigarettes, particularly menthol or mint, are more likely to quit successfully.ImplicationsE-cigarette use is positively associated with both making a quit attempt and quit success, and those using flavored e-cigarettes are more likely to successfully quit smoking, with no statistically significant differences between the use of menthol or mint-flavored e-cigarettes versus the use of other nontobacco flavored products. This suggests that the potential for e-cigarettes to help people who currently smoke quit could be maintained with the availability of menthol or mint-flavored e-cigarettes, even if other nontobacco flavored products, which are associated with e-cigarette use among youth, were removed from the market.

Project description:BACKGROUND:Reducing the social acceptability of smoking is associated with lowered smoking prevalence. However, denormalization strategies can also contribute to the stigmatization that some smokers may feel about their smoking. Smoking stigma may be more acute if smokers are also members of other stigmatized groups, such as racial/ethnic minorities. This study examined correlates of smoking self- and felt-stigma and discrimination, among current smokers. METHODS:Participants were recruited in the United States via a national commercial consumer panel to complete a cross-sectional, Web-based survey. Participants were 1528 current cigarette smokers aged 14 and older. Measures included the Internalized Stigma of Smoking Inventory (ISSI), Heaviness of Smoking Index, quit intentions, past-year quit attempts, and current use of electronic cigarettes (e-cigarettes). RESULTS:Self-stigma was significantly associated with higher intent to quit in the next 6 months (odds ratio [OR] = 2.47, P < .01) and in the next 30 days (OR = 4.21, P < .01), relative to no intention to quit, as well as having made 1 or 2 quit attempts in the past year (OR = 1.60, P < .01) or 3 or more quit attempts (OR = 1.74, P < .01) and associated with daily e-cigarette use (OR = 1.73, P < .05). Felt-stigma was positively associated with intent to quit in the next 30 days (OR = 1.54, P < .01), having made 3 or more quit attempts in the past year (OR = 1.35, P < .01), and both daily (OR = 2.05, P < .05) and some-day (OR = 1.30, P < .05) e-cigarette use. Discrimination was associated only with increased odds of daily e-cigarette use (OR = 1.83, P < .05). CONCLUSIONS:Smokers who reported greater feelings of stigmatization about their smoking were more likely to report having made recent quit attempts, report a stronger intention quit smoking in the future, and report use of e-cigarettes, suggesting that feelings of self-and felt-stigmatization are related to greater motivation to stop smoking.

Project description:Objectives:While cessation from cigarettes is a top priority for public health, controversy surrounds the role of e-cigarettes for quitting cigarettes. This study examines the role of e-cigarettes in quit attempts and 3-month cigarette abstinence using a large, recent nationally representative US sample. Methods:Data from the 2014/15 Tobacco Use Supplement-Current Population Survey (TUS-CPS) on cigarette and e-cigarette use and individual characteristics were supplemented with information on state tobacco control policies. We estimated frequencies and multivariate logistic equations for making a quit attempt among those who smoked 1 year earlier and for remaining abstinent at least 3 months among those making a quit attempt. These two outcomes were related to demographic characteristics, tobacco control policies and different frequency measures of e-cigarette use (ever, at least 1, 5, 20 of the last 30 days, a continuous measure of days use). Results:Having made a quit attempt was more likely among smokers using e-cigarettes than non-users. Among those making at least one quit attempt, quit success was lower among ever users, but higher among those with at least 5 days use of e-cigarettes in the last month. Both quit attempts and quit success were linearly related to the frequency of e-cigarette use. Conclusions:Consistent with randomized trials and those observational studies that measure frequency of e-cigarette use, both quit attempts and quit success were positively associated with increased frequency of e-cigarette use. Frequency of e-cigarette use was important in gauging the nature of these relationships. Implications:Previous studies have obtained mixed results regarding the relationship of e-cigarette use to cigarette smoking cessation. This study provides a more precise methodology for considering the relationship of e-cigarette use to quit attempts and to quit success, and finds that quit attempts and quit success increase with the number of days use in the past month.

Project description:IntroductionThis study examined the association between the introduction of an e-cigarette and subsequent change in cigarette smoking among smokers who were not immediately interested in quitting.Aims and methodsThe Moment Study was a 21-day intensive longitudinal study with an online follow-up survey at 30 days. After observing baseline cigarette smoking for 1 week, participants received 10 cigalike e-cigarettes on study days 6 and 13. Participants reported cigarettes per day, e-cigarette puffs per day, and e-cigarette satisfaction using text-message-based surveys.ResultsThe sample of 96 daily smokers was majority female (53.1%), African American (67.7%), and non-Hispanic (95.8%). When e-cigarettes were provided (day 6), average cigarettes per day dropped by 1.82 cigarettes (p < .0001). The within-person e-cigarette puff effect on daily cigarette smoking was significantly negative (β = -0.023; p = .005); a participant who consumed 100 more e-cigarette puffs in a day than usual for that person was expected to smoke 2.3 fewer cigarettes that day, but this was only true for non-menthol smokers (p = .006). Smokers older than 45 and those who started smoking at a younger age rated e-cigarettes as less satisfying (ps < .05). Participants with greater than the median reported satisfaction were 6.5 times more likely to use an e-cigarette at follow-up.ConclusionsGiving e-cigarettes to smokers who did not intend to quit reduced their cigarette smoking on days when they used e-cigarette more frequently, but this relationship did not hold for menthol smokers. Satisfaction with e-cigarette use was predictive of continued use 30 days later.ImplicationsA greater amount of cigalike e-cigarette use resulted in less smoking among adult daily smokers without immediate plans to quit, but a lack of nicotine delivery and satisfaction for these devices may have limited their utility as a replacement for cigarette smoking, especially among menthol smokers. The global concept of "satisfaction" may be an important driver of e-cigarette use among adult smokers.

Project description:OBJECTIVE:The current study prospectively investigated the relationship between cannabis use and cigarette smoking initiation, persistence, and relapse during a 3-year period among adults in the United States. METHODS:Analyses included respondents who completed Waves 1 (2001-2002) and 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions and responded to questions about cannabis use and smoking status (n = 34,639). Multivariable logistic regression models were used to calculate the odds of cigarette use at Wave 2 among Wave 1 daily smokers, nondaily smokers, former smokers, and nonsmokers by Wave 1 cannabis use. RESULTS:In unadjusted analyses, Wave 1 cannabis use was associated with increased odds of Wave 2 daily and nondaily smoking for Wave 1 nonsmokers (daily OR = 2.90; 95% CI, 2.10-4.00; nondaily OR = 4.45; 95% CI, 3.97-5.00) and Wave 2 relapse to daily and nondaily smoking for Wave 1 former smokers (daily OR = 4.18, 95% CI, 3.01-5.81; nondaily OR = 5.24; 95% CI, 3.74-7.34). Wave 1 cannabis use was associated with decreased odds of Wave 2 smoking cessation for Wave 1 daily cigarette smokers (OR = 0.57; 95% CI, 0.51-0.64). The associations remained significant for daily smoking initiation (OR = 1.43; 95% CI, 1.06-1.93), daily smoking relapse (OR = 1.47; 95% CI, 1.00-2.16), and smoking cessation (OR = 0.77; 95% CI, 0.69-0.87) after adjusting for demographics and psychiatric disorders. Associations remained significant for nondaily smoking initiation (OR = 1.85; 95% CI, 1.59-2.16) and nondaily smoking relapse (OR = 1.63; 95% CI, 1.05-2.54) after adjusting for these covariates as well as for alcohol and substance use disorders. CONCLUSIONS:Cannabis use was associated with increased initiation of, persistence of, and relapse to cigarette smoking. Additional attention to cannabis use in tobacco control efforts and in clinical settings aimed at reducing cigarette smoking and smoking-related negative consequences may be warranted.

Dataset Information

Cigarette smoking quit rates among adults with and without alcohol use disorders and heavy alcohol use, 2002-2015: A representative sample of the United States population.

Publications

Cigarette smoking quit rates among adults with and without alcohol use disorders and heavy alcohol use, 2002-2015: A representative sample of the United States population.

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