Sex differences in tobacco use, attempts to quit smoking, and cessation among dual users of cigarettes and e-cigarettes: Longitudinal findings from the US Population Assessment of Tobacco and Health Study.

SIGNIFICANCE: A growing number of adults use more than one tobacco product, with dual use of cigarettes and e-cigarettes being the most common combination. Monitoring sex disparities in tobacco use is a public health priority. However, little is known regarding whether dual users differ by sex. METHODS: Data came from Waves 4-6 (12/2016-11/2021) of the Population Assessment of Tobacco and Health Study, a US nationally-representative longitudinal survey. This analysis included current adult dual users of cigarettes and e-cigarettes. We used weighted generalized estimating equations to assess the association between sex and (1) making a cigarette quit attempt (n = 1882 observations from n = 1526 individuals) and (2) smoking cessation (n = 2081 observations from n = 1688 individuals) across two wave pairs, adjusting for age, education, ethnicity, time-to-first cigarette after waking, and e-cigarette use frequency. RESULTS: Among US dual users, 14.1% (95% Confidence Intervals [Cl] = 11.9-16.4) of females and 23.4% (20.0-26.9) of males were young adults (aged 18-24), 11.7% (9.2-14.2) of females and 14.4% (11.6-17.2) of males had

Sex differences in tobacco use, attempts to quit smoking, and cessation among dual users of cigarettes and e-cigarettes: Longitudinal findings from the US Population Assessment of Tobacco and Health Study.

SIGNIFICANCE: A growing number of adults use more than one tobacco product, with dual use of cigarettes and e-cigarettes being the most common combination. Monitoring sex disparities in tobacco use is a public health priority. However, little is known regarding whether dual users differ by sex. METHODS: Data came from Waves 4-6 (12/2016-11/2021) of the Population Assessment of Tobacco and Health Study, a US nationally-representative longitudinal survey. This analysis included current adult dual users of cigarettes and e-cigarettes. We used weighted generalized estimating equations to assess the association between sex and (1) making a cigarette quit attempt (n = 1882 observations from n = 1526 individuals) and (2) smoking cessation (n = 2081 observations from n = 1688 individuals) across two wave pairs, adjusting for age, education, ethnicity, time-to-first cigarette after waking, and e-cigarette use frequency. RESULTS: Among US dual users, 14.1% (95% Confidence Intervals [Cl] = 11.9-16.4) of females and 23.4% (20.0-26.9) of males were young adults (aged 18-24), 11.7% (9.2-14.2) of females and 14.4% (11.6-17.2) of males had

Association between current cigarette prices and cessation behaviors among male adult smokers: findings from 2018 to 2020 ITC Vietnam surveys.

BACKGROUND: This study evaluated the impact of the tax increase in January 2019 on changes in intention to quit and the effect of cigarette prices on quit attempts and successful quitting among male cigarette smokers in Vietnam. METHODS: Data were derived from the ITC project in Vietnam, which included 1585 adult smokers at baseline (Wave 1, Aug-Oct 2018) followed up to waves 2 (Sep-Nov 2019) and 3 (Sep-Dec 2020). Generalized estimating equations regression was performed to estimate changes in the intention to quit. Multiple logistic regression analysis was used to evaluate the cigarette price of a cigarette pack in relation to quit attempts and successful quitting. RESULTS: The increase in cigarette tax in 2019 did not significantly increase the likelihood of the intention to quit. After the tax increase, 63.6% of participants who smoked made a quit attempt, and 27.6% successfully quit smoking in the follow-up waves. However, the price of a cigarette pack was not significantly associated with quit attempts and successful quitting. The study did not observe a significant impact of cigarette prices on quit attempts and successful quitting in all subgroups of household income. Factors associated with quit attempts included the number of cigarettes smoked and the intention to quit, while those associated with successful quitting included age, dual use of cigarettes and other tobacco products, and the intention to quit. CONCLUSION: Current cigarette prices were not associated with cessation behaviors even within the lowest household income group. Therefore, a sharp rise in cigarette tax is required to incentivize smokers to quit smoking.

Sociodemographic Differences in Menthol Cigarette Use in the United States.

BACKGROUND: Menthol cigarette use is associated with higher smoking initiation and reduced smoking cessation. We investigated sociodemographic differences in menthol and nonmenthol cigarette use in the United States. METHODS: We used the most recent available data from the May 2019 wave of the nationally-representative Tobacco Use Supplement to the Current Population Survey. The survey weights were used to estimate the national prevalence of individuals who currently smoke among individuals who use menthol and nonmenthol cigarettes. Survey-weighted logistic regression methods were used to estimate the association of menthol cigarette use with formerly smoking cigarettes and attempting to quit within the past 12 months while adjusting for several sociodemographic factors associated with smoking. RESULTS: The prevalence of current smoking in individuals who ever smoked menthol cigarettes was higher 45.6% (44.5%-46.6%) compared to 35.8% (35.2%-36.4%) in individuals who ever smoked nonmenthol cigarettes. Non-Hispanics Blacks who used menthol cigarettes had a higher likelihood of being an individual who currently smokes (OR 1.8, 95% CI: [1.6-2.0], P-value <.001) compared to Non-Hispanic Whites who used nonmenthol cigarettes. However, Non-Hispanics Blacks who used menthol cigarettes were more likely to make a quit attempt (OR 1.4, 95%CI: [1.3-1.6], P-value <.001) compared to non-Hispanic Whites who used nonmenthol cigarettes. CONCLUSIONS: Individuals who currently use menthol cigarettes are more likely to make attempts to quit smoking. However, this did not translate to successfully quitting smoking, as evidenced by the proportion of individuals who formerly smoked within the population which used menthol cigarettes.

Smoking cessation aids and strategies: a population-based survey of former and current smokers in Norway.

BACKGROUND: In Norway, tobacco consumption is equally divided between combustible (cigarettes) and non-combustible (snus) tobacco. In the process of quitting, people who smoke can choose between several smoking cessation aids and strategies based on what is available on the market or what are recommended as cessation aids. A quit attempt may be planned or unplanned and consist of a gradual decline in consumption or an abrupt quitting. This study explores smoking cessation aids and strategies used at the latest quit attempt among people who have ever smoked. How prevalent is the use of various cessation aids and strategies, and do they correlate with each other? Are there any differences in successful quits depending on the use of a specific cessation aid or strategy? METHOD: We used repeated cross-sectional representative surveys in Norway for 2017, 2018, 2019 and 2020. The analytic sample consists of people aged 20 years or older who have ever smoked daily, more precisely current daily smokers with at least one quit attempt (n = 476), and former daily smokers who quit in 2012 or later (n = 397). Participants answered questions on cessation aids and strategies used at their last quit attempt. Logistic regression analysis was used to estimate the associations between cessation aids and strategies and sociodemographic and smoking-related variables and successful quit attempts. RESULTS: Fifty-six percent of people who ever smoked daily reported any use of cessation aids, and nicotine replacement therapy (NRT), snus and e-cigarettes were the most commonly used cessation aids. Snus and web/mobile use was associated with successful quits, while NRT was associated with unsuccessful quit attempts. When exclusive use was separated from the combined use of several aids, only snus was associated with successful quits. CONCLUSION: Snus use was found to be a "stand-alone" cessation aid, and only weakly associated with the use of other cessation aids. Further investigation of cessation aid preferences is needed, especially among smokers with little or no contact with health services and/or for whom traditional cessation aids have no appeal.

Variations in Electronic Nicotine Delivery System (ENDS) device types and association with cigarette quit attempts.

This study examined electronic nicotine delivery systems (ENDS) devices classified as disposable, non-refillable cartridge, refillable cartridge, refillable tank, and refillable mod systems and examined if cigarette quit attempts varied by device type among daily and non-daily ENDS users. Data from Wave 3 (2015-16) of the Population Assessment of Tobacco and Health Study, a nationally representative study in the U.S. was used to explore ENDS device types among past 12 month adult cigarette and ENDS users (n = 4952). Multivariate models were fitted to predict cigarette quit attempts among daily (n = 474) and nondaily (n = 1074) ENDS users by ENDS device types. Analyses were conducted in April 2020. Refillable tank system (38.5%) was the most prevalent and refillable cartridge was the least prevalent (3.3%) device type among past 12 month cigarette and ENDS users. Adults who used disposable ENDS were least likely to use ENDS as "an alternative to quitting all tobacco" (p < 0.001) or "as a way of cutting down on smoking" (p < 0.001). The odds of attempting to quit smoking were higher among daily ENDS users who used non-refillable cartridge (AOR = 7.3, 95% CI: 1.5-34.9), refillable tank (AOR = 5.3, 95% CI: 1.5-19.3) or refillable mod systems (AOR = 5.9, 95% CI: 1.2-30.1) compared to those who used disposables adjusting for age group, gender, race, ethnicity, and nicotine dependence. The likelihood of quit attempt among non-daily ENDS users did not differ by device type. Better understanding of ENDS device types and their use in smoking cessation is needed to inform health interventions.

Breaking the cycle of smoking and pain: do pain-related anxiety and pain reduction expectancies sabotage attempts to quit smoking and can smoking cessation improve pain and pain-related disability outcomes?

Contemporary models of smoking and pain suggest a reciprocal and self-perpetuating cycle, wherein smoking reduces pain in the short term but indirectly exacerbates pain in the long term. In a sample of participants engaged in an active smoking-cessation attempt, this investigation assessed a) whether specific smoking risk factors (i.e., smoking expectancies for pain reduction, pain-related anxiety) acted as barriers to cessation, and b) whether breaking the smoking-pain cycle through successful smoking abstinence impacted pain and pain-related disability outcomes for participants with pain. Participants comprised 168 smokers (44.4% with pain) who engaged in an online smoking-cessation program. Pain-related anxiety, but not smoking expectancies, accounted for a significant proportion of variance of smoking dependence from pre- to post-intervention. Results suggest that pain-related anxiety is a risk factor for maintained smoking dependence for all smokers regardless of pain status. Participants with pain who successfully quit smoking experienced statistically and clinically meaningful decreases in pain and pain-related disability from pre- to post-intervention. Exploratory post hoc analyses indicated that individuals who signed-up for the smoking cessation program but failed to begin a quit-attempt had significantly higher pain disability, depression, and anxiety scores than participants who commenced a quit-attempt. Theoretical and practical implications are discussed.

Exposure to Anti-Tobacco Messaging and Quit Attempts among Adolescent and Young Adult in Lagos, Nigeria: A Population-based Study.

BACKGROUND: Health behavior theories suggest that knowledge about the health risks of the behavior precedes behavior change. Tobacco control messages aim to promote knowledge of health risks associated with tobacco use and encourage smoking cessation behaviors such as quit attempts and intention to quit. This study assessed the relationship between exposure to Anti-Tobacco Messaging (ATM) and quit attempts among adolescents and young adults in Lagos, Nigeria. METHODS: This was an online cross-sectional survey of 947 participants aged between 15-35 years. The survey obtained sociodemographic information, smoking status, exposure to ATM, intention to quit and quit attempts in the past 12-months. Logistic regression analysis was used to identify the relationship between exposure to ATM and quit attempts; pvalues <0.05 were considered significant. Statistical analysis was done using STATA-15.0 software. RESULTS: The mean age of respondents was 23.4 years (SD:4.0). Less than one-third of the respondents were smokers (23.4%). The most common source of ATM were digital sources (online and social media - 29.6%). Based on the multivariable logistic regression model, younger age (p:0.03) and an intention to quit (p: <0.001) were significantly associated with a quit attempt. Exposure to ATM in the past 12 months was also significantly associated with higher odds of a quit attempt (OR:5.33; 95% CI: 1.26,22.60; p: 0.02). CONCLUSION: Our findings suggest an association between exposure to ATM and quit attempts among adolescent and young adult smokers in Lagos State, Nigeria. Policymakers should consider measures aimed at promoting tobacco control education and improving access to smoking cessation services.

CONTEXTE: Les théories du comportement en matière de santé suggèrent que la connaissance des risques sanitaires du comportement précède le changement de comportement. Les messages de lutte contre le tabagisme visent à promouvoir la connaissance des risques pour la santé associés au tabagisme et à encourager les comportements de renoncement au tabac tels que les tentatives d'abandon et l'intention d'abandonner. Cette étude a évalué la relation entre l'exposition aux messages antitabac (MTA) et les tentatives d'arrêt du tabac chez les adolescents et les jeunes adultes de Lagos, au Nigeria. MÉTHODES: Il s'agissait d'une enquête transversale en ligne auprès de 947 participants âgés de 15 à 35 ans. L'enquête a permis d'obtenir des informations sociodémographiques, le statut tabagique, l'exposition au MTA, l'intention d'arrêter et les tentatives d'arrêt au cours des 12 derniers mois. Une analyse de régression logistique a été utilisée pour identifier la relation entre l'exposition à la GTA et les tentatives d'abandon ; les valeurs p <0,05 ont été considérées comme significatives. L'analyse statistique a été réalisée à l'aide du logiciel STATA-15.0. RÉSULTATS: L'âge moyen des répondants était de 23,4 ans (écarttype:4,0). Moins d'un tiers des répondants étaient fumeurs (23,4%). La source de DAB la plus courante était les sources numériques (médias en ligne et sociaux-29, 6%). D'après le modèle de régression logistique multivariable, un âge plus jeune (p: 0,03) et une intention d'arrêter de fumer (p:<0,001) étaient significativement associés à une tentative d'arrêt. L'exposition à la GTA au cours des 12 derniers mois était également associée de manière significative à une probabilité plus élevée de tentative d'abandon (OR:5,33;IC à 95%: 1,26,22,60; p:0,02). CONCLUSION: Nos résultats suggèrent une association entre l'exposition à la GTA et les tentatives d'arrêt chez les fumeurs adolescents et jeunes adultes de l'État de Lagos, au Nigeria. Les décideurs politiques devraient envisager des mesures visant à promouvoir l'éducation à la lutte antitabac et à améliorer l'accès aux services d'aide au sevrage tabagique. Mots clés: Adolescent, Intention d'arrêter de fumer, Tentative d'arrêt du tabac, Jeunes, Tabac.

Exploring positive expectancies and quit status among adult electronic cigarette users.

Initial research on electronic cigarette (e-cigarette) use suggests differences exist in levels of use, beliefs, and cessation difficulties among users. However, little research has explored how these factors interact to confer worse e-cigarette outcomes. The current study examined the association between positive expectancies of e-cigarette use and e-cigarette processes among 544 (51.1% female; Mage = 35.4 years, SD = 10.12) adult e-cigarette users who had and had not attempted to quit e-cigarettes, a defining characteristic believed to distinguish those with and without greater e-cigarette quit difficulty. Results indicated that greater positive outcome expectancies of e-cigarette use were significantly related to increased perceived risks, benefits, and barriers to quitting. The strength of the associations was stronger for those who reported past quit attempts compared to those who never attempted quitting. Overall, the current study highlights the potentially important role that positive expectancies for e-cigarette use and quit attempt status play in e-cigarette processes. Findings suggest a possible need to contextualize positive expectancies for e-cigarette use within future e-cigarette cessation tactics and tailoring treatments based on quit attempt status.

Analysis of multidimensional factors in attempts to quit using tobacco by Korean adolescents.

BACKGROUND: This study aims to understand the extent of adolescents' attempts to quit using tobacco and the factors influencing such attempts in Korea, using a descriptive, cross-sectional design and secondary data analysis with the 2019 Youth Health Behavior Survey. METHODS: The participants were 4028 adolescent tobacco users who had used tobacco for 1 day or more in the past 30 days. The data analysis was performed using IBM SPSS/WIN 26.0 program, and multivariable logistic regression analysis was conducted using the complex sampling method module. RESULTS: A total of 68.2% of the participants attempted to quit using tobacco. We analyzed the factors for adolescents' attempts to quit using tobacco by dividing them into psychological, physical, behavioral, and environmental dimensions. The factors influencing adolescents' attempts to quit using tobacco, identified through multivariable logistic regression analysis, are as follows: participation in sports activities (OR = 1.20, 95% CI 1.01-1.41), vigorous physical activity (OR = 1.24, 95% CI 1.06-1.46), and type of tobacco product used (OR = 1.65, 95% CI 1.24-2.21) in the behavioral dimension; pictorial cigarette pack warnings (perceived smoking as unhealthy) (OR = 1.91, 95% CI 1.56-2.36), and the presence of secondhand smoking at home (OR = 1.18, 95% CI 1.01-1.38) in the environmental dimension. CONCLUSIONS: Schools and public healthcare providers must consider multidimensional factors when providing support for successful tobacco cessation in adolescents and focus particularly on elements relating to physical activity and environmental factors.

Food insecure cancer survivors continue to smoke after their diagnosis despite not having enough to eat: implications for policy and clinical interventions.

PURPOSE: This cross-sectional study examined whether food insecurity among cancer survivors is associated with smoking status and quit attempt. METHODS: Data from the 2015 behavioral risk factor surveillance system, social context module on 6,481 adult cancer survivors, were used in this study. Outcome variables were smoking status and quit attempt. Key independent variable was food insecurity. We estimated adjusted odds ratios (AOR) and 95% confidence intervals (CI) using weighted multivariable logistic regression models while controlling for individual-level demographic, socioeconomic, clinical, and behavioral characteristics. RESULTS: About 19.0% of cancer survivors were current smokers, out of whom 60.4% made attempt to quit smoking in the past 12 months, and 26.2% reported experiencing food insecurity in the past 12 months. Food insecurity was significantly associated with smoking status and quit attempt after controlling for individual-level characteristics. The odds of being a current smoker, [AOR 1.45 (95% CI 1.10-2.02)], and making quit attempt, [AOR 1.74 (95% CI 1.10, 2.83)], were higher for food insecure cancer survivors compared to food secure cancer survivors. CONCLUSIONS: Food insecurity, in addition to smoking, may hinder the progress of care and treatment, requiring the development of new policies for routine food insecurity screening among cancer survivors. Efforts should be focused on identifying food insecure cancer survivors, targeting their smoking behavior, and offering them appropriate nutritional and smoking cessation interventions.

Racial and Income Disparities in Health-Related Quality of Life among Smokers with a Quit Attempt in Louisiana.

Background and objectives: Smoking is associated with a lower health-related quality of life (HRQOL). However, there is little information about the association between HRQOL in relation to race, income, and smoking status. The present study aimed to assess the association between HRQOL and smoking status for those of different races and income levels. Materials and Methods: This study applied a cross-sectional design using data from the 2017 patient survey of the Louisiana Tobacco Control Initiative. We obtained 1108 responses from patients at eight Louisiana public hospitals. The EuroQol (EQ-5D) US index score assessed HRQOL. Smoking status was classified into four groups: never smoked, former smoker, current smoker with a quit attempt, and current smoker without a quit attempt. Multivariate linear regression analyses were used to estimate the HRQOL for black or African Americans and whites. Results: The patients were predominantly black or African American (58.9%) with lower-income (71.2%). Bivariate analyses showed that there were differences in income levels between black or African Americans and whites (p = 0.006). Moreover, black or African Americans (median = 0.80) had a higher mean of HRQOL than whites (median = 0.76). Among lower-income black or African Americans, current smokers with a quit attempt had a lower HRQOL than current smokers (coefficient = -0.12; p < 0.01). Conclusions: Racial and income disparities were evident with regards to HRQOL, with lower-income black or African Americans who were current smokers with a quit attempt having a lower HRQOL. Intervention programs for smoking cessation should target lower-income black or African American smokers who have a prior quit attempt and provide effective cessation services to help them quit smoking and improve their HRQOL.

Unaided Smoking Cessation in Healthy Employees.

BACKGROUND: According to guidelines, behavioral and pharmacological assistance should be offered to all smokers willing to quit. However, a large proportion of ex-cigarette smokers are self-quitters. OBJECTIVES: To identify characteristics of long-term, unaided self-quitters, as compared to recurrent smokers among health care employees. METHODS: University hospital employees (n = 5,218) were addressed through a 17-question questionnaire inquiring about past and current smoking behavior. Questions included daily cigarette consumption, pack-years, previous quit attempts, smoking-free period, and utilization of pharmacological therapies and counseling. RESULTS: 2,574 (49.3%) questionnaires were returned. 791 subjects declared to have successfully quit smoking. A complete data set was available for 763 cases. Patients remained smoking free for a mean period of 11.8 ± 9.7 years. The most common smoking cessation method in these subjects was unaided (77.2%), followed by alternative approaches (15.4%), nicotine replacement therapy (4.5%), counseling (1.7%), and bupropion (1.2%). Smoking cessation was achieved with 1 attempt in 53% of the cases, 2 in 19%, 3 in 13%, and more than 3 attempts in 15%, respectively. On average, 2.4 ± 3.02 attempts led to successful smoking cessation. After 2 or more unsuccessful attempts, the odds ratio for a further unsuccessful smoking cessation was 2.58 (95% CI 1.94-3.45). CONCLUSION: The majority of the ex-smokers quitted smoking without any behavioral or pharmacological support. The chance to successfully quit smoking without any help in a first or second attempt is considerably high. The risk for smoking recurrence after 2 ineffective quit attempts is markedly increased (OR 2.58).

Influence of Psychiatric and Personality Disorders on Smoking Cessation Among Individuals in Opiate Dependence Treatment.

OBJECTIVE: We aimed to evaluate how psychiatric and personality disorders influence smoking cessation goals and attempts among people with opiate dependence who smoke. This information could aid the development of more effective cessation interventions for these individuals. METHODS: Participants (N = 116) were recruited from two methadone clinics, completed the Millon Clinical Multiaxial Inventory-III, and were asked about their smoking behavior and quitting goals. We used the Least Absolute Shrinkage and Selection Operator (LASSO) method, a technique commonly used for studies with small sample sizes and large number of predictors, to develop models predicting having a smoking cessation goal, among those currently smoking daily, and ever making a quit attempt, among those who ever smoked. RESULTS: Almost all participants reported ever smoking (n = 115, 99%); 70% (n = 80) had made a serious quit attempt in the past; 89% (n = 103) reported current daily smoking; and 59% (n = 61) had a goal of quitting smoking and staying off cigarettes. Almost all (n = 112, 97%) had clinically significant characteristics of a psychiatric or personality disorder. White race, anxiety, and a negativistic personality facet (expressively resentful) were negative predictors of having a cessation goal. Overall, narcissistic personality pattern and a dependent personality facet (interpersonally submissive) were positive predictors of having a cessation goal. Somatoform disorder, overall borderline personality pattern, and a depressive personality facet (cognitively fatalistic) were negative predictors of ever making a quit attempt. Individual histrionic (gregarious self-image), antisocial (acting out mechanism), paranoid (expressively defensive), and sadistic (pernicious representations) personality disorder facets were positive predictors of ever making a quit attempt. Each model provided good discrimination for having a smoking cessation goal or not (C-statistic of .76, 95% CI [0.66, 0.85]) and ever making a quit attempt or not (C-statistic of .79, 95% CI [0.70, 0.88]). CONCLUSIONS: Compared to existing treatments, smoking cessation treatments that can be tailored to address the individual needs of people with specific psychiatric disorders or personality disorder traits may better help those in opiate dependence treatment to set a cessation goal, attempt to quit, and eventually quit smoking.

Factors influencing quit attempts among male daily smokers in China.

BACKGROUND: China has the largest population of smokers in the world, yet the quit rate is low. We used data from the 2010 Global Adult Tobacco Survey China to identify factors influencing quit attempts among male Chinese daily smokers. METHODS: The study sample included 3303 male daily smokers. To determine the factors that were significantly associated with making a quit attempt, we conducted logistic regression analyses. In addition, mediation analyses were carried out to investigate how the intermediate association among demographics (age, education, urbanicity) and smoking-related variables affected making a quit attempt. RESULTS: An estimated 11.0% of male daily smokers tried to quit smoking in the 12 months prior to the survey. Logistic regression analysis indicated that younger age (15-24 years), being advised to quit by a health care provider (HCP) in the past 12 months, lower cigarette cost per pack, monthly or less frequent exposure to smoking at home, and awareness of the harms of tobacco use were significantly associated with making a quit attempt. Additional mediation analyses showed that having knowledge of the harm of tobacco, exposure to smoking at home, and having been advised to quit by an HCP were mediators of making a quit attempt for other independent variables. CONCLUSION: Evidence-based tobacco control measures such as conducting educational campaigns on the harms of tobacco use, establishing smoke-free policies at home, and integrating tobacco cessation advice into primary health care services can increase quit attempts and reduce smoking among male Chinese daily smokers.

Gradual versus abrupt quitting among French treatment-seeking smokers.

OBJECTIVE: This study examined the prevalence and predictors of gradual quitting among treatment-seeking smokers. METHOD: This study examined quit attempts among 28,156 adult smokers who attended French smoking cessation services nationwide between 2007 and 2010. Predictors of gradual quitting were determined using multivariate regression models. RESULTS: Only 4.4% quit gradually whereas 48.7% quit abruptly and 46.9% continued smoking. 34.1% of abrupt quitters and 31.9% of gradual quitters were abstinent at 1month post-quit (p=0.108). Gradual quitting was associated with: older age, heavy smoking at baseline, no previous quit attempts, low self-efficacy, baseline intake of anxiolytics, symptoms of depression and history of depressive episodes. Gradual quitters had a similar anxio-depressive profile than continued smokers but were more educated and more likely to have reported previous quit attempts. Prescription of oral nicotine replacement therapy (NRT) only as opposed to combination NRT doubled the odds of gradual quitting. Likelihood of gradual quitting compared with continued smoking improved with the number of follow-up visits. CONCLUSION: Our findings suggest that hard-to-treat smokers may be more likely to quit gradually than abruptly. However, intense follow-up with adapted treatment appears to be crucial to achieve cessation gradually in French smoking cessation services.

Improving understanding of the quitting process: psychological predictors of quit attempts versus smoking cessation maintenance among college students.

This study examined motivation, positive and negative outcome expectations of quitting, and self-efficacy as predictors of quit attempts and cessation maintenance in a smoking cessation intervention for college students (N = 303). Psychological measures assessed at baseline were used to predict smoking behavior outcomes. Analysis of variance (ANOVA) and logistic regression analysis revealed that motivation and self-efficacy were strong, differential predictors of quit attempts and cessation maintenance, respectively. This study extends the previous findings regarding psychological predictors of quitting processes to college students, and suggests the need for interventions tailored according to phases of quitting processes.

Predictors of quitting smoking behavior: evidence from Pakistan.

This study attempts to identify factors that significantly encourage the cessation of smoking in the context of Pakistan. The study distributes a modified questionnaire among 421 respondents (current as well as former smokers) in the capital city of Pakistan, Islamabad. The binary regression method was employed to data for analyzing predictors of making quit attempts and successful smoking cessation. The result indicates that respondents having strong intentions to quit, high socioeconomic status, low nicotine dependency, and past quit attempts, and those having no-smoking friends, are more likely to quit cigarette smoking successfully. On the other hand, factors like social pressure to quit smoking, religious information against smoking, intention to quit smoking, and public regulation on smoking are more likely to encourage smokers to make quit attempts. The study calls for community and school-wide smoking cessation campaigns involving officials, peers and parents, religious leaders, and other influential individuals to inform people about the dangers of smoking. In addition, religious leaders should be encouraged to issue rulings against smoking especially during "Friday Prayer." Furthermore, the government should pronounce more strict and comprehensive regulations on smoking by properly monitoring its implementation to encourage cessation of cigarette smoking.

Effectiveness of mobile smoking cessation treatment with 1-week nicotine replacement therapy sampling at outdoor smoking hotspots: A cluster randomized controlled trial.

AIMS: To evaluate the effectiveness of mobile smoking cessation (SC) treatment with 1-week nicotine replacement therapy (NRT) sampling on recruitment and quitting outcomes. DESIGN: Two-arm cluster RCT (1:1 ratio), single-blinded, at 244 recruitment sessions in Hong Kong outdoor smoking hotspots from October 2018-December 2019. SETTING: Participant were recruited by ambassadors and treated at the mobile SC truck. PARTICIPANTS: 834 adult (≥18 years, male 81.3%) daily smokers, Chinese-speaking, non-NRT users in the past month, consented after nurse-led intervention in mobile SC truck were randomized to the experimental (n = 482 male 79.5%) and the control group (n = 352, male 83.8%). INTERVENTION AND COMPARATOR: The experimental group received a 1-week free NRT sample, an NRT instruction card, and mobile SC treatment including onsite nurse-led brief medication advice (about 15 minutes) and referral to SC clinics. The control group received the same mobile SC treatment. MEASUREMENTS: Primary outcome was self-reported quit attempts at 1-month follow-up. Secondary outcomes included SC service use at 1 month, and biochemically validated abstinence (exhaled carbon monoxide < 4 ppm; or saliva cotinine < 10 ng/ml) at 6-month follow-up. Additionally, a post-hoc cost analysis was conducted. FINDINGS: By intention-to-treat, the two groups showed similar prevalence of quit attempts (44·4% versus 43·5%, risk ratio (RR) = 1·04, 95% confidence interval (CI) = 0·79-1·37, P = 0·79). Compared with the control group, the experimental group showed lower SC service use at clinics (32·4% versus 44·9%, RR = 0·72, 95%CI = 0·57-0·91, P = 0·006), but no significant difference in validated abstinence (4·6% versus 2·8%, RR = 1·64, 95%CI = 0·76-3·50, P = 0·21). The experimental recruitment sessions recruited more smokers for onsite medication advice than the control session (mean 6·7 vs 5·0, adjusted incident rate ratio = 1·30, 95%CI = 1·08-1·56, P = 0·005). CONCLUSIONS: Mobile smoking cessation treatment with 1-week nicotine replacement therapy sampling did not increase quit attempts or abstinence outcomes among recruited daily smokers in Hong Kong. The intervention increased smokers' uptake of onsite medication advice but reduced subsequent smoking cessation service use at clinics.

Factors Influencing Tobacco Cessation in India: Findings from the Global Adult Tobacco Survey-2.

OBJECTIVE: The study aimed to assess the socio-demographic and other correlates of cessation behavior across tobacco products among the adult population in India. METHODS: We used data of adults (aged ≥15 years) who were current or former tobacco users (smoking and/or smokeless tobacco) from the Global Adult Tobacco Survey (GATS) India, conducted during 2016-17. The detailed analysis was done for current daily smokers (N=7,647), former daily smokers (N=1,353), and current daily smokeless tobacco users (N=1,2721). Multivariate logistic regression was separately performed to find the associated factors with attempts to quit, successful quitting, different cessation methods of smoking, and smokeless tobacco use. RESULTS: The findings of the study indicated that daily smokers, higher educated, urban residents and employed were more likely to quit smoking compared to their counterparts. Successful quitting of smoking was higher for employed, higher educated, current users of smokeless tobacco and older adults.  For smokeless tobacco users, non-daily users, highly educated, urban residents, and employed were more likely to attempt to quit compared to their counterparts. Successful quitting of smokeless tobacco was higher for unemployed, highly educated, urban residents and current non-smokers, and higher age group adults. CONCLUSION: The findings of this study suggest a need for professionally channelized cessation interventions to reduce the prevalence and relapse of tobacco use and increase the quit rate. Well-designed, large-scale research into specific tobacco cessation methods is needed to establish the association between different tobacco cessation methods and increased quit rates.