Longitudinal predictors of stopping smoking in young adulthood

National Smoking Cessation Services (NSCS) enrollment and their effect on long-term tobacco cessation in Korea: Results from a 1-year prospective follow-up of NSCS participants

INTRODUCTION

The study aimed to identify predictors associated with long-term tobacco cessation at 12-month follow-up among users of the National Smoking Cessation Services (NSCS) in Korea.

METHODS

To measure the long-term effect of NSCS delivery, the target sample size of 5167 adult smokers registered in the NSCS in 2018 was enrolled with proportional random sampling. A multiple logistic regression analysis (crude, adjusted) was performed to identify the changes in smoking status at the 12-month follow-up after the last NSCS enrollment and the potential factors associated with changes in smoking status.

RESULTS

The response rate to reach the number of subjects targeted was 22.4%. A total of 41.2% of the tobacco users enrolled had successfully quit at baseline, and the 7-day point prevalence of tobacco cessation at the follow-up at 12 months, via a telephone survey, was 34.4%. Factors positively associated with cessation at the 12-month follow-up were longer experience with tobacco abstinence and additional quitting attempts with or without NSCS enrollment, although every additional quit attempt with NSCS use had a better outcome. In addition, having a successful quit outcome with NSCS use at the baseline and having more satisfaction with the service of professional counseling or incentives than others provided by NSCS, increased cessation at follow-up after adjustment of other factors considered.

CONCLUSIONS

In addition to multiple quitting attempts, longer experience with tobacco abstinence, and additional enrollment in NSCS, the service experience, and satisfaction with the content that NSCS offered, might improve the lasting success of abstinence. These results might be considered to improve the contents and protocols of the NSCS for better outcomes.

Prevalence and predictors of smoking cessation among smokers receiving smoking cessation intervention in primary care in Qatar: a 6-month follow-up study

Objective

To estimate the rate and predictors of smoking cessation in smokers attending smoking cessation clinics in primary care settings in Qatar.

Methods

A cross-sectional study was conducted among 759 smokers who had attended any of the 10 smoking cessation clinics in primary health care centers from January 2019 to June 2020. The sociodemographic, clinical, and smoking-related variables were assessed. Tailored behavioral and pharmacotherapy were delivered, and patients were interviewed at 6 months to estimate the 30-day point prevalence abstinence. To identify independent factors associated with smoking cessation, a multivariable logistic regression analysis was performed.

Results

The mean age of participants was 40.6 (±11.3), majority being married, Arab and employed, and having a tertiary education. Almost half of the smokers (48.7%) received varenicline alone, 42.6% received NRT, and 31.8% received a combination of both. The selection of drug therapy was based on preferences, experiences, and history of previously encountered adverse effects. The overall 30-day quit rate at 6 months follow-up was 32.4%. About three-quarters (72.5%) of participants had at least one quit attempt and 12.5% had 3 or more attempts. Later age at smoking initiation, lower cigarette consumption at baseline, lower CO concentration at baseline, use of smoking cessation pharmacotherapy, having made fewer quit attempts and non-exposure to secondhand smoke among friends were identified as significant predictors of successful quitting at 6 months.

Conclusion

The 30-day quit rate at 6 months follow-up (32.4%) is comparable to the worldwide figure. However, further efforts should be made to plan cost-effective tobacco dependence treatment taking into account predictors and at-risk groups.

Protective Factors Against Vaping and Other Tobacco Use

BACKGROUND AND OBJECTIVES

Vaping has gained popularity among adolescents despite negative health consequences. Few studies have focused on factors that may protect against vaping. We sought to determine if future orientation, parental monitoring, school connectedness, and social support are associated with decreased risk of vaping and other forms of tobacco use.

METHODS

Data were obtained via anonymous school-based health behavior surveys among ninth- through 12th-graders in Pittsburgh, PA (n = 2487). Protective factors were assessed through validated Likert scale instruments. The primary outcome was recent (past 30-day) vaping. Additional outcomes included other forms of tobacco use and intention to quit tobacco products. Poisson regression models examined associations between protective factors and vaping and tobacco use outcomes.

RESULTS

Mean age was 15.7 years, 1446 (58.1%) respondents were female, and 671 youth (27.0%) reported recent vaping. Positive future orientation and high parental monitoring were associated with significantly lower prevalence of recent vaping (adjusted prevalence ratio: 0.84 [95% confidence interval: 0.73-0.97] and adjusted prevalence ratio: 0.73 [95% confidence interval: 0.62-0.85], respectively). There were no significant relationships between social support or school connectedness and vaping. All 4 protective factors were inversely associated with other forms of tobacco use. No factors were significantly associated with intent to quit tobacco products.

CONCLUSIONS

Findings reveal significant inverse associations between future orientation, parental monitoring, and vaping but no relationship between protective factors and intent to quit tobacco products. Developing interventions to foster protective factors in youth and their parental supports may inform primary prevention efforts to reduce vaping and other tobacco use.

Predictors of Cigarette Smoking Cessation in Adolescents: A Systematic Review

PURPOSE

To update a systematic review published in 2012 that identified predictors of cigarette smoking cessation among adolescents.

METHODS

The PubMed and Web of Science databases were searched for relevant articles published between September 2010 and January 2018, using the following keywords: smoking OR tobacco OR cessation; quit OR stop; longitudinal OR prospective OR cohort. Our search identified 3,399 articles. Inclusion criteria included longitudinal studies (intervention and cohort studies) evaluating cigarette smoking cessation in young people (aged 10-24 years). After screening, in total, 34 articles were included in the review.

RESULTS

In total, 63 predictors of smoking cessation among adolescents were identified, with 36 new predictors that were not identified in the previous review: nine sociodemographic factors, 13 psychosocial factors, five behavioral factors, 19 social influences factors, eight smoking related variables, six environmental factors, 2 health related variables, and one genetic factor.

CONCLUSIONS

To increase the probability of successful smoking cessation, strategies targeting young smokers should consider both individual and environmental predictors of cessation.

Motivation to quit cigarettes and alternative tobacco products: prevalence and correlates among youth experiencing homelessness

Use of alternative tobacco products, as well as regular cigarettes, is widespread among unaccompanied youth experiencing homelessness. However, little is known about their level of motivation for quitting use of these products, factors associated with motivation to quit, or how these might vary by type of tobacco product. Unaccompanied homeless youth were sampled from 25 street and service sites in Los Angeles County (N = 469). All participants were past month tobacco users who completed a survey on their tobacco-related behaviors and cognitions, including motivation to quit, as well as background characteristics. Among self-reported users of each product, motivation to quit in the next 30 days was highest for regular cigarettes (33%), followed by e-cigarettes/vaporizers (30%), little cigars/cigarillos (25%), cigars (20%), and natural cigarettes (20%). Between 33 and 49% of youth, depending on product, were not thinking about quitting at all. Correlates of lower motivation to quit differed somewhat by product type, with the most consistent being race, more frequent use, lower perceived riskiness of the product, and using the product because of its good taste or smell. Results from this study identify a set of psychosocial and behavioral factors, some that are common across tobacco products and others that are product-specific, that may be particularly important to address in efforts to reduce tobacco use among youth experiencing homelessness. Future regulations on the sale of flavored tobacco products may also serve to increase motivation to quit in this population.

Predictors of long-term smoking cessation among smokers enrolled in a university smoking cessation program: A longitudinal study

Many lifelong smokers establish smoking habits during young adulthood. A university can be an effective setting for early smoking cessation. We evaluated long-term predictors of smoking cessation among smokers in a university setting.We longitudinally followed a cohort of smokers enrolled in a university smoking cessation program in Seoul, South Korea. Sociodemographic factors, smoking-related variables, and changes in smoking habits were assessed during 6-week visit sessions and follow-up telephone interviews conducted 1 year or more later.A total of 205 participants were followed up (mean follow-up duration: 27.1 months). Cessation rates were 47.3% at the end of the visit sessions and 28.8% at follow-up. The long-term persistent smoking rate was significantly higher among individuals with peers who smoked (odds ratio [OR] = 8.64; 95% confidence interval [CI] = 1.75, 42.80), with family members who smoked (OR = 3.28; 95% CI = 1.20, 9.00), and who smoked 10 to 19 cigarettes/day (OR = 4.83; 95% CI = 1.49, 15.69). Conversely, persistent smoking was less likely among those who attended the program regularly (OR = 0.84 per visit; 95% CI = 0.72, 0.99) and attempted quitting more frequently (OR = 0.93 per attempt; 95% CI = 0.87, 0.99). Use of smoking cessation medications (varenicline or bupropion) was not significantly associated with long-term quitting (OR = 0.71; 95% CI = 0.26, 1.93).Peer influences were the strongest predictors of failure in long-term cessation among smokers who attempted to quit. Similarly, the existence of smokers in the family was negatively associated with successful quitting. Regular attendance at a smoking cessation program and a high number of attempts to quit were positively associated with successful quitting. Targeting peer and family smoking groups together rather than targeting individual smokers alone, implementing active cessation programs encouraging regular attendance, and providing comprehensive antismoking environments might be effective strategies in a university setting.

Predictors of Smoking Cessation Among College Students in a Pragmatic Randomized Controlled Trial

An effective strategy to quit smoking should consider demographic aspects, smoking-related characteristics and psychological factors. This study examined potential predictors of smoking cessation in Spanish college students. A total of 255 college student smokers (18-24 years old), recruited to a cessation trial (Spain, 2013-2014), comprised an observational cohort. The main outcome was biochemically verified (urine cotinine) abstinence at the 6-month follow-up. Baseline potential predictors included socio-demographic, smoking-related and psychological variables (Fagerström Test for Nicotine Dependence (FTND), expired monoxide level (CO), intention to quit, previous quit attempts, participation in previous multicomponent programmes and confidence in quitting). Logistic regression models were used to identify potential predictors, the area under the ROC curve (AUC) was used to discriminate the capacity of the predictors and the Hosmer-Lemeshow goodness-of-fit test was used to assess model calibration. After 6 months of follow-up, variables related to high nicotine dependence, FTND and expired CO levels were associated with lower odds of quitting smoking (OR = 0.69 [95% CI 0.54-0.89] and 0.84 [0.77-0.92], respectively). Furthermore, being prepared to change (OR = 3.98 [1.49-10.64], p = 0.006) and being confident to quit (OR = 4.73 [2.12-10.55], p < 0.001) were also potential predictors of smoking cessation. The model that combined all these variables had the best predictive validity (AUC = 0.84 [0.78-0.91], p = 0.693) and showed good predictive capacity (χ² = 10.36, p = 0.241). Findings highlight that, in this population of college student smokers, having a lower level of nicotine dependence, being prepared to quit and having the confidence in the ability to quit were associated with smoking cessation, and these factors had good predictive capacity.

Effectiveness of pharmacotherapy for smoking cessation: protocol for umbrella review and quality assessment of systematic reviews

BACKGROUND

In the long term, smoking cessation can decrease the risk of cancer, stroke, and heart attacks and improve overall survival. The aim of the proposed umbrella review is to summarize existing systematic reviews that assessed the effects of pharmacological interventions for smoking cessation and to evaluate the methodological quality of previously conducted systematic reviews.

METHODS

Databases such as the Cochrane Library, PubMed, MEDLINE, EMBASE, CINAHIL PsychINFO Web of Science, Conference Papers Index, Scopus, and Google Scholar will be used to retrieve reviews. Systematic reviews which included only randomized control trials will be considered in this review. The primary outcome will be prolonged abstinence from smoking for a minimum of 6 months follow-up, and the secondary outcome will be point abstinence rate from smoking of less than 6 months follow-up but more than 7 days. Methodological quality of the included reviews will be assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR 2) tool, which contains 16 domains. Two authors will screen the titles and abstracts of all reviews obtained by the search strategy, assess the full text of selected articles for inclusion, and extract data independently. The quality appraisal will be also assessed by two authors (AM, CC) independently, and Cohen's Kappa statistic will be used to assess inter-ratter agreement. The findings of the study will be narrated qualitatively to describe the effect of different pharmacotherapy on smoking cessation.

DISCUSSION

The World Health Organization recommends treatment of tobacco dependence as one approach in its comprehensive tobacco control policy. To date, many trials and systematic reviews have been conducted to assess the effectiveness of pharmacotherapy for smoking cessation. Therefore, the findings of the umbrella review will improve clinical decision-making and be used as a baseline for future studies.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42017080906.

Flavored E-cigarette Use and Cigarette Smoking Reduction and Cessation-A Large National Study among Young Adult Smokers

BACKGROUND

E-cigarette use prevalence has increased drastically among young adult cigarette smokers in recent years.

OBJECTIVES

This study seeks to understand which e-cigarette flavors-sweet and fruity or tobacco and menthol/mint-are more likely to be associated with smoking reduction and cessation among young adults.

METHODS

Longitudinal data (waves 1 and 2) of the Population Assessment of Tobacco and Health (PATH) Study from young adult (aged 18-34) cigarette smokers (n = 4,645) at wave 1 and current e-cigarette users (n = 844) at wave 2 were used. Univariate and multivariate regressions were conducted to examine the associations between past-year smoking reduction and cessation and current e-cigarette flavor use at wave 2.

RESULTS

At wave 2, 25.9% of respondents either reduced or quit smoking, and 6.7%, 5.2%, and 6.3% of them reported currently using e-cigarettes with tobacco/menthol (TM) flavors, one non-tobacco/non-menthol (NTM) flavor, and multiple NTM flavors, respectively. E-cigarette users with one (AOR = 2.5, p < 0.001) and multiple NTM flavors (AOR = 3.0, p < 0.001) were more likely to have reduced or quit smoking over the past year compared to non-e-cigarette users. NTM flavor use was positively associated with e-cigarette use of a higher frequency and larger amount.

CONCLUSIONS

The positive association between past-year smoking reduction and cessation and current NTM flavored e-cigarette use may be explained by young adults' escalated e-cigarette use with NTM flavors. Public health professionals should prevent and reduce multiple tobacco use through enhanced education about the harm of vaping NTM flavors and by advising young adult smokers to quit tobacco altogether using evidence-based methods.

Identifying "social smoking" U.S. young adults using an empirically-driven approach

The phenomenon of "social smoking" emerged in the past decade as an important area of research, largely due to its high prevalence in young adults. The purpose of this study was to identify classes of young adult ever smokers based on measures of social and contextual influences on tobacco use. Latent class models were developed using social smoking measures, and not the frequency or quantity of tobacco use. Data come from a national sample of young adult ever smokers aged 18-24 (Truth Initiative Young Adult Cohort Study, N=1564). The optimal models identified three latent classes: Class 1 - nonsmokers (52%); Class 2 - social smokers (18%); and Class 3 - smokers (30%). Nearly 60% of the "social smoker" class self-identified as a social smoker, 30% as an ex-smoker/tried smoking, and 12% as a non-smoker. The "social smoker" class was most likely to report using tobacco mainly or only with others. Past 30-day cigarette use was highest in the "smoker" class. Hookah use was highest in the "social smoker" class. Other tobacco and e-cigarette use was similar in the "social smoker" and "smoker" classes. Past 30-day tobacco and e-cigarette use was present for all products in the "non-smoker" class. Young adult social smokers emerge empirically as a sizable, distinct class from other smokers, even without accounting for tobacco use frequency or intensity. The prevalence of hookah use in "social smokers" indicates a group for which the social aspect of tobacco use could drive experimentation and progression to regular use.

Social and Environmental Factors Related to Smoking Cessation among Mothers: Findings from the Geographic Research on Wellbeing (GROW) Study

OBJECTIVES

The current study examined associations between race/ethnicity and psychosocial/environmental factors with current smoking status, and whether psychosocial/environmental factors accounted for racial differences in smoking status in a population-based sample of mothers in California.

METHODS

Cross-sectional data from 542 women with a history of smoking were used. Analyses adjusted for age, partner status, and educational attainment.

RESULTS

In models adjusted for sociodemographics, black women had significantly lower odds, and Latina immigrants had significantly higher odds of being a former smoker compared to white women. Persons smoking in the home, having a majority of friends who smoke, having perceptions of their neighborhood as being somewhat or very unsafe, and experiencing food insecurity were associated with decreased odds of being a former smoker. When these variables were entered into a single model, only being a Latina immigrant and having a majority of friends who smoke were significantly associated with smoking status.

CONCLUSIONS

Black women demonstrated a notable disparity compared with white women in smoking status, accounted for by psychosocial/environmental factors. Immigrant Latinas demonstrated notable success in ever quitting smoking. Social networks may be important barriers to smoking cessation among women.

Biomarkers of Response to Smoking Cessation Pharmacotherapies: Progress to Date

For the past 30 years, research examining predictors of successful smoking cessation treatment response has focused primarily on clinical variables, such as levels of tobacco dependence, craving, and self-efficacy. However, recent research has begun to determine biomarkers (such as genotype, nicotine and metabolite levels, and brain imaging findings) that may have utility in predicting smoking cessation. For genotype, genes associated with nicotinic acetylcholine receptors (nAChRs) and related proteins have been found to predict response to first-line medications (e.g. nicotine replacement therapy [NRT], bupropion, or varenicline) or quitting over time without a controlled treatment trial. For nicotine and metabolite levels, function of the cytochrome P450 2A6 liver enzyme, which can be assessed with the nicotine metabolite ratio or via genotype, has been found to predict response, with slow nicotine metabolizers having less severe nicotine dependence and a greater likelihood of quitting with NRT than normal metabolizers. For brain imaging, decreased activation of brain regions associated with emotion regulation and increased connectivity in emotion regulation networks, increased responsiveness to pleasant cues, and altered activation with the Stroop effect have been found in smokers who quit with the first-line medications listed above or counseling. In addition, our group recently demonstrated that lower pre-treatment brain nAChR density is associated with a greater chance of quitting smoking with NRT or placebo. Several of these studies found that specific biomarkers may provide additional information for predicting response beyond subjective symptom or rating scale measures, thereby giving an initial indication that biomarkers may, in the future, be useful for guiding smoking cessation treatment intensity, duration, and type.

The smoking habit of a close friend or family member--how deep is the impact? A cross-sectional study

OBJECTIVES

To assess the risk of becoming a smoker in adulthood associated with parental smoking as well as the smoking of siblings and close friends.

DESIGN

A cross-sectional study.

SETTING

4 oral healthcare centres in Finland and a follow-up.

PARTICIPANTS

An age cohort born in 1979 (n=2586) and living in four Finnish towns. Of those reached by the 2008 follow-up, 46.9% (n=1020) responded.

PRIMARY AND SECONDARY OUTCOME MEASURES

Smoking behaviour at the age of 29. Smoking behaviour at the age of 13 and smoking behaviour of family members and close friends.

RESULTS

Smoking of a current close friend was strongly associated with participants' own smoking (OR 5.6, 95% CI 3.6 to 8.8). The smoking of a close friend during schooldays was similarly associated (OR 2.9, 95% CI 1.8 to 4.5). Smoking among men was associated with the smoking behaviour of mothers and siblings while that among females was not.

CONCLUSIONS

The impact of a smoker as a close friend is greater than that of a smoking parent or sibling in school age when it comes to smoking behaviour in adulthood. This should be taken into consideration when attempting to prevent smoking initiation or continuation.

TRIAL REGISTRATION

At clinicaltrials.gov (NCT01348646).