Age as a predictor of quit attempts and quit success in smoking cessation: findings from the International Tobacco Control Four-Country survey (2002-14)

Effect of Ramadan fasting on changes in smoking and vaping behaviors and withdrawal symptoms severity: a cross-sectional study

BACKGROUND

Ramadan fasting, an obligatory duty for adult Muslims, entails refraining from eating, drinking, smoking, and vaping from dawn until sunset. Throughout Ramadan, people accept major changes to daily routines. Consequently, Ramadan is associated with abstinence symptoms and changes in smoking or vaping behavior.

AIM

The study aims to assess the presence of withdrawal symptoms and its severity, as well as smoking or vaping behavior change and its determinants during Ramadan fasting.

METHODS

A cross-sectional study was conducted during Ramadan in 2023. Data were collected online using a Google form, including questionnaires assessing socio-demographic data, nicotine dependence using Fagerstrom Test for Nicotine Dependence, vaping and shisha smoking, presence and severity of physiological and psychological withdrawal symptoms and its coping strategies. Smoking and vaping behavioral change during Ramadan and its contributing factors were also evaluated.

RESULTS

A total of 251 participants (96% males), mean age ± standard deviation (33 ± 12.1) were surveyed. Withdrawal symptoms were reported among 70.5%, however, their severity was generally low both physiologically and psychologically. Education, nationality, smoking duration, nicotine dependence, and the amount of consumed E-liquid per day were the independent predictors of withdrawal symptoms presence. Attempts to quit smoking and vaping were reported by 54.6% of the participants; young age and higher educational levels were the factors associated with more quitting attempts.

CONCLUSIONS

The withdrawal symptoms severity linked to Ramadan fasting is minimal. Many smokers and vapers made attempts to quit during Ramadan. Ramadan presents a chance for smoking and vaping cessation with some behavioral support.

Latent transition analysis of use frequencies for multiple nicotine and tobacco products among US adults

BACKGROUND

Given the many nicotine and tobacco products in use, studies of the interdependence of use patterns and transitions are needed.

METHODS

Using Waves 1-4 of the PATH Study, we analyzed latent transitions among adults who ever regularly used nicotine or tobacco products at Wave 1 to identify latent use states (n = 12,358) and estimated one-wave transition probabilities. Multinomial logistic regression identified demographic factors associated with transitions.

RESULTS

We identified seven latent states: Non-current (42.5% in Wave 1); Daily Cigarette (29.7%); Non-daily Cigarette (9.8%); Daily Cigarette and Non-daily Polytobacco (DCNP, 7.4%), Daily Smokeless Tobacco (SLT, 4.9%); Non-daily Cigar (3.2%); and Daily ENDS (Electronic Nicotine Delivery Systems) and Non-daily Cigarette (DENC, 2.4%). Among Daily Cigarette, 93% did not transition, 2.2% transitioned to Non-daily cigarette, 1.7% to DENC, and 2.2% to Non-current. Among DENC, 87.4% did not transition, 7.3% transitioned to Daily Cigarette, and 3.8% to Non-current. Lower income was associated with lower odds of transitioning from Daily Cigarette and DCNP to Non-daily Cigarette and DENC use. Lower education was associated with higher odds of relapse. Non-Hispanic Blacks were more likely than Non-Hispanic Whites to transition from Daily Cigarette to DCNP and less likely to transition to DENC.

CONCLUSIONS

Most individuals remained in their latent use state. The polytobacco and non-daily use states were most likely to transition. Non-Hispanic Blacks were more likely to make harmful transitions, and lower socioeconomic status was associated with a lower probability of transitioning to less harmful states. These differences in transitions may influence tobacco- and nicotine-related health disparities.

Cannabis Use and Subsequent Cigarette Discontinuation Among U.S. Adults in the Population Assessment of Tobacco and Health Study, Waves 1-5

INTRODUCTION

This study examined the association between the current co-use of cannabis and cigarettes in the past 30 days and subsequent cigarette discontinuation (past 30-day point-prevalence abstinence) among U.S. adults with established cigarette use in the Population Assessment of Tobacco and Health (PATH) Study. Additionally, we investigated the impact of co-use on the subsequent discontinuation of all combustible tobacco products.

AIMS AND METHODS

A total of 26 381 observations contributed by 8218 adults with established cigarette use (ie, smoked ≥100 cigarettes in their lifetime, and currently smoking cigarettes every day or some days) from waves 1-5 of the PATH Study were included in the analysis. Weighted generalized estimating equations (GEE) models were used to evaluate the association between current co-use at baseline (waves 1-4) with the outcomes assessed at the subsequent wave (cigarette and combustible tobacco discontinuation at waves 2-5). Final models included: Demographic characteristics (age, sex, race and ethnicity, and educational attainment), behavior characteristics (intention to quit, internalizing symptoms, externalizing symptoms, and substance use problems), and wave-pair.

RESULTS

Over one-third (35.91%) of the adults currently smoking cigarettes self-reported co-use during the study period. Cannabis use among adults with established cigarette use increased over time. Co-use was associated with decreased odds of cigarette smoking discontinuation at follow-up, after adjusting for covariates (aOR: 0.81; 95% CI: 0.72, 0.93; p = .0018). Similar effect sizes were observed for the discontinuation of all combustible tobacco products (aOR: 0.75; 95% CI: 0.65, 0.86; p < .0001).

CONCLUSIONS

Cannabis use among adults with established cigarette use was inversely related to subsequent cigarette discontinuation, suggesting that co-use may reduce the likelihood of successful tobacco cessation.

IMPLICATIONS

Findings demonstrate that cannabis use may lead to lower odds of discontinuation among adults with established cigarette use; therefore, individuals who co-use cigarettes and cannabis may need additional tobacco cessation support. Notably, this study observed an increase in the co-use of cigarettes and cannabis, emphasizing the need for researchers and public health programs to shift their focus toward understanding and addressing concurrent substance use among adults who smoke cigarettes.

Evolution of the substance use landscape: Implications for contingency management

Contingency management (CM), which involves the delivery of incentives upon meeting behavioral goals, has the potential to improve substance use treatment outcomes. The intervention allows for flexibility through numerous modifiable components including changes to incentive magnitude and schedule, target behavior, and intervention structure. Unfortunately, numerous changes in the substance use landscape have occurred in the past 10 to 15 years: Substances are more potent, overdose risk has increased, new substances and methods of use have been introduced, and substance classes are increasingly being intentionally and unintentionally mixed. These developments potentially undermine CM outcomes. We explored recent substance use changes due to legislative, regulatory, social, and economic factors for four substance classes: stimulants, opioids, tobacco, and cannabis. We discuss potential adjustments to the modifiable components of CM for future research in response to these changes. By continually adapting to the shifting substance use landscape, CM can maintain optimal efficacy.

Association between Time Since Smoking Cessation and Frailty Trajectory among Community-Dwelling Older People: English Longitudinal Study of Ageing

OBJECTIVES

To examine the associations of smoking cessation with the subsequent frailty status trajectory using data from a nationally representative sample of community-dwelling older adults living in England.

DESIGN

A prospective panel study.

SETTING AND PARTICIPANTS

A total of 2600 community-dwelling older adults aged 60 or older in England who used to smoke.

METHODS

The past smokers were divided into 5 groups based on years since smoking cessation: 0-10, 11-20, 21-30, 31-40, and 41+ years. The Frailty Index (FI) was constructed using 60 deficits and repeatedly calculated every 2 years over 16 years. Trajectories of FI according to years since smoking cessation were estimated by a mixed-effects model.

RESULTS

A mixed-effects model adjusted for age, sex, education, wealth, and alcohol use showed that FI increased over time in all groups and that longer duration since smoking cessation was significantly associated with lower FI (more fit). Those who quit 41 years earlier or more had the lowest frailty trajectory, however, there was still a gap between them and never smokers.

CONCLUSIONS AND IMPLICATIONS

The current study showed that past smokers with a longer duration of quitting smoking had a significantly lower degree of frailty at baseline and over time. These findings highlight beneficial effects of smoking cessation on frailty even in middle or old age and could be used in public health education to promote the importance of quitting smoking.

Are smoking restrictions at public venues and psychosocial beliefs associated with intentions to quit smoking among smokers in Malaysia?

The Malaysian government reinforced smoking restrictions at public venues to protect nonsmokers from secondhand smoke (SHS) exposure. This study examined whether smokers' reports about smoking restrictions and psychosocial beliefs were associated with quit intentions among Malaysian smokers. Data from 1047 cigarette smokers (103 females and 944 males) aged 18 and older from the 2020 International Tobacco Control (ITC) Malaysia Wave 1 Survey were analyzed with bivariate and multivariable logistic regression models. Most Malaysian smokers (85.2%) reported having quit intentions. Smoking was completely restricted in 34.8% of the nighttime venues, 85.3% of air-conditioned (AC) food and beverage (F&B) venues (restaurants, food courts, coffee shops), 87.3% of non-AC F&B, and 69.4% of indoor workplaces. Smokers who visited nighttime entertainment venues where smoking was fully restricted were less likely to have quit intentions. There was no significant association found with quit intentions for smokers who visited AC and non-AC F&B venues and indoor workplaces where smoking was fully restricted. All five psychosocial beliefs assessed, age, and education were positively associated with quit intentions. Malaysian smokers are interested in quitting and psychosocial beliefs were positively associated with quit intentions. There is a need for the Malaysian government to implement and reinforce comprehensive smoking restrictions in all public venues and indoor workplaces to protect nonsmokers from SHS exposure and to encourage smokers to think about quitting, which may influence their quit intentions.

Do tobacco regulatory and economic factors influence smoking cessation outcomes? A post-hoc analysis of the multinational EAGLES randomised controlled trial

INTRODUCTION

We previously reported global regional differences in smoking cessation outcomes, with smokers of US origin having lower quit rates than smokers from some other countries. This post-hoc analysis examined global regional differences in individual-level and country-level epidemiological, economic and tobacco regulatory factors that may affect cessation outcomes.

METHODS

EAGLES (Evaluating Adverse Events in a Global Smoking Cessation Study) was a randomised controlled trial that evaluated first-line cessation medications and placebo in 8144 smokers with and without psychiatric disorders from 16 countries across seven regions. Generalised linear and stepwise logistic regression models that considered pharmacotherapy treatment, psychiatric diagnoses, traditional individual-level predictors (eg, demographic and smoking characteristics) and country-specific smoking prevalence rates, gross domestic product (GDP) per capita, relative cigarette cost and WHO-derived MPOWER scores were used to predict 7-day point prevalence abstinence at the end of treatment.

RESULTS

In addition to several traditional predictors, three of four country-level variables predicted short-term abstinence: GDP (0.54 (95% CI 0.47, 0.63)), cigarette relative income price (0.62 (95% CI 0.53, 0.72)) and MPOWER score (1.03 (95% CI 1.01, 1.06)). Quit rates varied across regions (22.0% in Australasia to 55.9% in Mexico). With northern North America (USA and Canada) as the referent, the likelihood of achieving short-term abstinence was significantly higher in Western Europe (OR 1.4 (95% CI 1.14, 1.61)), but significantly lower in Eastern Europe (0.39 (95% CI 0.22, 0.69)) and South America (0.17 (95% CI 0.08, 0.35)).

CONCLUSIONS

Increased tobacco regulation was associated with enhanced quitting among participants in the EAGLES trial. Paradoxically, lower GDP, and more affordable cigarette pricing relative to a country's GDP, were also associated with higher odds of quitting. Geographical region was also a significant independent predictor.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov, NCT01456936.

Factors influencing smoking cessation attempts and success in Iranian male adults: national survey data

BACKGROUND

Smoking cessation is a dynamic process that often involves a series of unsuccessful quit attempts before long-term abstinence is achieved. To implement interventions that lead to long-term abstinence, it will be necessary to understand the determinants of smoking cessation. Therefore, the main objective of the present study was to determine the effect of factors influencing both smoking cessation attempts and successful smoking cessation in the general population of Iran.

METHODS

The data of 1293 participants whose information was obtained through a national cross-sectional study entitled "Survey of Risk Factors of Noncommunicable Diseases in 2016" were analyzed. There were three response levels: "quit attempt and successful quit", "quit attempt and unsuccessful quit", and "no quit attempt and unsuccessful quit". A multinomial logistic regression model was used to assess the effect of covariates on response.

RESULTS

The mean (sd) age of all participants was 47.21 (13.65) years. According to the results, 883 people (68.29%) did not attempt to quit smoking, and of those who attempted to quit smoking, only 64 (15.61%) men were successful. The factors of living in an urban area (OR = 1.71) and past smoking intensity (OR = 1.967) were associated with no quit attempt and unsuccessful quitting. In addition, physician recommendation to quit smoking was a protective factor for no quit attempt and unsuccessful quit (OR = 0.599). Alcohol consumption was also a protective factor against successful quitting for both attempters (OR = 0.351) and nonattempters (OR = 0.359).

CONCLUSIONS

Tobacco control programs should be implemented with a greater focus on heavy smokers and alcohol users. In addition, the role of health professionals in encouraging smokers to quit smoking should not be ignored.

The trajectory of smoking cessation after treatment and its related factors in Taiwan

Smoking has multiple negative effects on health; therefore, the Taiwanese government provides smoking cessation clinics to smokers. This study aimed to explore the trajectory of smoking cessation after smokers received treatment and the variables related to different trajectories. A retrospective longitudinal study was conducted, in which 735 adult smokers who received smoking cessation medications were recruited. The participants' demographic characteristics, chronic diseases, smoking characteristics, and cigarette dependence were collected from chart review. The amount of smoking was collected at baseline, and at 1 week, 1 month, 3 months, and 6 months after treatment. The Proc Traj procedure for group-based modeling and multinomial logistic regression were used for statistical analysis. Three trajectories were identified: early quitters (28.03%), late quitters (11.43%) and reducers (60.54%). Compared with early quitters, reducers were younger and had a higher probability of severe cigarette dependence. Compared with early quitters, late quitters had a higher number of taking smoking cessation medications. The findings revealed that approximately 60% of participants who received smoking cessation treatment could not completely quit smoking, and that age, number of medications taken, and cigarette dependence were significant predictors of different trajectories.

Real-Life Effectiveness of Smoking Cessation Delivery Modes: A Comparison Against Telephone Counseling and the Role of Individual Characteristics and Health Conditions in Quit Success

INTRODUCTION

Professional behavioral counseling for smoking cessation can be delivered in many forms, which may not work equally well for everyone. We aim to explore in a real-world setting whether different delivery modes yield different rates of quit success and whether quit success varies based on gender, age, educational level, and being treated for a health condition.

AIMS AND METHODS

We used monitoring data (n = 13 747) from a smoking cessation counseling provider in the Netherlands (September 2018 to August 2021) to compare differences in quit success immediately after the end of counseling and at 12-month follow-up between telephone and other modes of counseling. Participants chose which mode of counseling they received. At the 12-month follow-up, we also examined differences in quit success based on demographic characteristics and whether one is being treated for various health conditions.

RESULTS

Participants of in-person group counseling and online in-company group counseling were significantly more likely to have quit immediately after the counseling compared with telephone counseling (OR = 1.25, 95% CI = 1.08-1.44; OR = 1.63, 95% CI = 1.18-2.24). Analyses revealed no significant differences in quit success between telephone and other modes of counseling after 12 months. Those treated for a respiratory or psychological condition were less likely to have maintained quit success, as were women, and participants with a lower educational level.

CONCLUSIONS

When chosen by oneself, the mode of smoking cessation counseling received does not appear to be important for long-term quit success. However, certain groups warrant extra support to prevent excessive program attrition and unsuccessful quit attempts.

IMPLICATIONS

Our findings suggest that when chosen by oneself, the delivery mode of smoking cessation counseling does not appear to be important for long-term quit success. This finding is of particular relevance for those who are unable to attend in-person cessation counseling due to, for instance, reduced accessibility or mobility. We also found that women, lower educated, and younger participants were more likely to dropout of the cessation program or to not have maintained a quit attempt, signaling that disparities in smoking cessation persist when standardized counseling is given, and therefore more tailored counseling may be necessary for these groups.

Effect of age of tobacco initiation and number of failed quit attempts on maintenance of tobacco abstinence

BACKGROUND

The decision to make a quit attempt is the first step toward the tobacco cessation process. It is well established in the literature that if someone does not take tobacco till the age of 21 years then his chances of remaining tobacco-free for life are higher than his counterparts who start tobacco at early developmental ages.

METHODOLOGY AND TOOLS

The present study was conducted among 400 university undergraduate students. A cross-sectional survey design was used, multi-stage sampling was done, and four colleges were selected via random sampling. The motivation to quit tobacco, tobacco craving, and maintenance of tobacco abstinence was assessed via contemplation ladder, tobacco craving questionnaire Short Form, and smoking abstinence questionnaire. To validate subjective data, a urine cotinine test was performed.

RESULTS

The age of tobacco initiation significantly impacts intentions to quit tobacco and tobacco craving levels. The number of unsuccessful quit attempts was also significantly associated with the maintenance of tobacco abstinence. The failed quit attempts play a vital role in altering tobacco cravings and make the withdrawals more complicated to handle for recent tobacco quitters.

The influence of health literacy and knowledge about smoking hazards on the intention to quit smoking and its intensity: an empirical study based on the data of China's health literacy investigation

OBJECTIVE

This study explored the relationship between smokers' health literacy, knowledge of smoking hazards, and their intention to quit.

METHODS

Based on data from the 2019 Health Literacy and Tobacco Use Surveillance among residents of a city in Zhejiang Province, 1120 male smokers were screened. Differential tests were used to analyze whether smokers with varying levels of health literacy and knowledge about smoking hazards differed in their intention to quit smoking and the intensity of their intention. A multi-factor logistic regression model was constructed to explore the extent of these differences.

RESULTS

Only 24.8% of smokers had higher health literacy. Among smokers, those with an intention to quit had a higher health literacy level compared to those without such intention (32.7% vs. 17.0%, p < 0.001). Health literacy levels did not differ significantly between groups with different intensity of intention to quit (34.2% vs. 31.9% vs. 30.1%, p = 0.435). About 48.7% of the smokers a higher level of knowledge about smoking hazards. It was more prevalent in the intent to quit group compared to the no intent to quit group (54.0% vs. 43.4%, p < 0.001), and the low intent to quit group had lower knowledge compared to the moderate and high intent to quit groups (49.1% vs. 56.6% vs. 63.4%, p = 0.011). After adjusting for other influences, smokers with lower health literacy were less likely to have intention to quit (OR = 0.659, p = 0.016). And the association between knowledge about smoking hazards and whether smokers have the intention to quit is no longer significant, but it significantly affects the intensity of the intention to quit among smokers who already have the intention (OR = 0.623, p = 0.005).

CONCLUSION

General health literacy may play a role in facilitating smokers' progression from the stage of no intent to quit to one of intent to quit, but a more specific understanding of the harms of smoking may be needed to increase the strength of intent to quit.

Association between personality traits and smoking cessation among Chinese adults

BACKGROUND

Although the tobacco epidemic is one of the greatest public health threats, the smoking cessation rate among Chinese adults is considerably lower. Personality information may indicate which treatments or interventions are more likely to be effective. China is the largest producer and consumer of tobacco worldwide. However, little is known about the association between smoking cessation and personality traits in China.

AIM

This study aimed to examine the association between successful smoking cessation and personality traits among Chinese adults.

METHODS

This cross-sectional study used data from the 2018 China Family Panel Studies. Probit regression models were employed to analyze the association between successful smoking cessation and personality traits stratified by sex.

RESULTS

Lower scores for neuroticism (Coef.=-0.055, p < 0.1), lower scores for extraversion (Coef.=-0.077, p < 0.05), and higher scores for openness to experience (Coef.=0.045, p < 0.1) predicted being a successful male quitter after adjusting for demographics. Moreover, lower scores for conscientiousness (Coef.=-0.150, p < 0.1) predicted being a successful female quitter after adjusting for demographics.

CONCLUSION

The empirical findings suggested that among Chinese men, lower levels of neuroticism, lower levels of extraversion, and higher levels of openness to experience were associated with a higher likelihood of smoking cessation. Moreover, lower levels of conscientiousness were associated with successful smoking cessation among Chinese women. These results showed that personality information should be included in smoking cessation interventions.

Age and mental health moderate the association between environmental concern (EC) and smoking frequency: smoking as a polluting behavior

It is well-recognized that smoking is detrimental to the environment. However, much less is understood about smoking behavior from an environmental perspective with a focus on environmental concern (EC). This study aims to establish the association between EC and smoking frequency in smokers and test whether age and mental health moderate such an association. Obtained by analyzing data using regressions on smokers (N = 3,599) from Understanding Society: the UK Household Longitudinal Study (UKHLS), which is a representative sample in the UK, the results revealed that age and mental health moderate the association between EC and smoking frequency. This association is important to understand because smoking pollutes the environment, and very few studies have looked at smoking behavior from an environmental perspective.

Long-Term Outcomes of a Comprehensive Mobile Smoking Cessation Program With Nicotine Replacement Therapy in Adult Smokers: Pilot Randomized Controlled Trial

BACKGROUND

Increased smartphone ownership has led to the development of mobile smoking cessation programs. Although the related body of evidence, gathered through the conduct of randomized controlled trials (RCTs), has grown in quality and rigor, there is a need for longer-term data to assess associated smoking cessation durability.

OBJECTIVE

The primary aim was to compare smoking cessation outcomes at 52 weeks in adult smokers randomized to a mobile smoking cessation program, Pivot (intervention), versus QuitGuide (control). The secondary aims included comparison of other smoking-related behaviors, outcomes and participant feedback, and exploratory analyses of baseline factors associated with smoking cessation.

METHODS

In this remote pilot RCT, cigarette smokers in the United States were recruited on the web. Participants were offered 12 weeks of free nicotine replacement therapy (NRT). Data were self-reported via a web-based questionnaire with videoconference biovalidation in participants who reported 7-day point-prevalence abstinence (PPA). Outcomes focused on cessation rates with additional assessment of quit attempts, cigarettes per day (CPD), self-efficacy via the Smoking Abstinence Self-Efficacy Questionnaire, NRT use, and participant feedback. Cessation outcomes included self-reported 7- and 30-day PPA, abstinence from all tobacco products, and continuous abstinence. PPA and continuous abstinence were biovalidated using witnessed breath carbon monoxide samples. Exploratory post hoc regression analyses were performed to identify baseline variables associated with smoking cessation.

RESULTS

Participants comprised 188 smokers (n=94, 50% in the Pivot group and n=94, 50% in the QuitGuide group; mean age 46.4, SD 9.2 years; n=104, 55.3% women; n=128, 68.1% White individuals; mean CPD 17.6, SD 9.0). Several cessation rates were higher in the Pivot group (intention to treat): self-reported continuous abstinence was 20% (19/94) versus 9% (8/94; P=.03) for QuitGuide, biochemically confirmed abstinence was 31% (29/94) versus 18% (17/94; P=.04) for QuitGuide, and biochemically confirmed continuous abstinence was 19% (18/94) versus 9% (8/94; P=.046) for QuitGuide. More Pivot participants (93/94, 99% vs 80/94, 85% in the QuitGuide group; P<.001) placed NRT orders (mean 3.3, SD 2.0 vs 1.8, SD 1.6 for QuitGuide; P<.001). Pivot participants had increased self-efficacy via the Smoking Abstinence Self-Efficacy Questionnaire (mean point increase 3.2, SD 7.8, P<.001 vs 1.0, SD 8.5, P=.26 for QuitGuide). QuitGuide participants made more mean quit attempts (7.0, SD 6.3 for Pivot vs 9.5, SD 7.5 for QuitGuide; P=.01). Among those who did not achieve abstinence, QuitGuide participants reported greater CPD reduction (mean -34.6%, SD 35.5% for Pivot vs -46.1%, SD 32.3% for QuitGuide; P=.04). Among those who reported abstinence, 90% (35/39) of Pivot participants and 90% (26/29) of QuitGuide participants indicated that their cessation program helped them quit.

CONCLUSIONS

This pilot RCT supports the long-term effectiveness of the Pivot mobile smoking cessation program, with abstinence rates durable to 52 weeks.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04955639; https://clinicaltrials.gov/ct2/show/NCT04955639.

Monitoring Cigarette Smoking and Relapse in Young Adults With and Without Remote Biochemical Verification: Randomized Brief Cessation Study

BACKGROUND

Technological advancements to study young adult smoking, relapse, and to deliver interventions remotely offer conceptual appeal, but the incorporation of technological enhancement must demonstrate benefit over traditional methods without adversely affecting outcomes. Further, integrating remote biochemical verification of smoking and abstinence may yield value in the confirmation of self-reported smoking, in addition to ecologically valid, real-time assessments.

OBJECTIVE

The goal of this study was to evaluate the impact of remote biochemical verification on 24-hour self-reported smoking and biochemical verification agreement, retention, compliance with remote sessions, and abstinence during a brief, 5-week cessation attempt and relapse monitoring phase.

METHODS

Participants (N=39; aged 18-25 years; mean age 21.6, SD 2.1 years; n=22, 56% male; n=29, 74% White) who smoked cigarettes daily engaged in a 5-week cessation and monitoring study (including a 48-hour quit attempt and provision of tobacco treatment in the form of nicotine replacement therapy, brief cessation counseling, and financial incentives for abstinence during the 2-day quit attempt only). Smoking (cigarettes per day) was self-reported through ecological momentary assessment (EMA) procedures, and participants were randomized to either (1) the inclusion of remote biochemical verification (EMA + remote carbon monoxide [rCO]) 2× per day or (2) in-person, weekly CO (wCO). Groups were compared on the following outcomes: (1) agreement in self-reported smoking and breath carbon monoxide (CO) at common study time points, (2) EMA session compliance, (3) retention in study procedures, and (4) abstinence from smoking during the 2-day quit attempt and at the end of the 5-week study.

RESULTS

No significant differences were demonstrated between the rCO group and the wCO (weekly in-person study visit) group on agreement between 24-hour self-reported smoking and breath CO (moderate to poor), compliance with remote sessions, or retention, though these outcomes numerically favored the wCO group. Abstinence was numerically higher in the wCO group after the 2-day quit attempt and significantly different at the end of treatment (day 35), favoring the wCO group.

CONCLUSIONS

Though study results should be interpreted with caution given the small sample size, findings suggest that the inclusion of rCO breath added to EMA compared to EMA with weekly, in-person CO collection in young adults did not yield benefit and may have even adversely affected outcomes. Our results suggest that technological advancements may improve data accuracy through objective measurement but may also introduce barriers and burdens and could result in higher rates of missing data. The inclusion of technology to inform smoking cessation research and intervention delivery among young adults should consider (1) the research question and necessity of biochemical verification and then (2) how to seamlessly incorporate monitoring into personalized and dynamic systems to avoid the added burden and detrimental effects to compliance and honesty in self-report.

Psychiatric symptoms and intentions to quit smoking: How regularity and volume of cigarette consumption moderate the relationship

INTRODUCTION

Smoking prevalence is disproportionately higher in those with psychiatric symptoms. Smokers with psychiatric symptoms are less likely to have an intention to quit smoking and attain eventual smoking abstinence. This study presents the relationship between depressive/anxiety symptoms and the intention to quit smoking and related influencing factors.

METHODS

A cross-sectional study recruited 931 current smoking individuals covering two provinces in China in July 2022. The online survey comprised questions concerning sociodemographic characteristics, smoking conditions and psychiatric symptoms. Chi-squared analyses and moderation analyses were applied.

RESULTS

The proportion of smokers who had the intention to quit smoking within six months was 46.1%. In comparison with subjects without depressive/anxiety symptoms, individuals who had both psychiatric symptoms were less likely to have the intention to quit smoking (39.3% vs 49.8%, χ²=9.130, p=0.028). As for the moderating model of depression, the interaction term of depressive symptoms and smoking regularly was significant (β=0.554, t=3.260, p=0.001). For those who were occasional smokers, depressive symptoms significantly lowered their quitting intentions. The regularity of smoking similarly moderated the effect of anxiety symptoms on quitting intentions. When the number of cigarettes used weekly served as the moderator, the interaction of this number and depressive symptoms was significant, as well as for anxiety (p<0.001), indicating that the volume of cigarette consumption moderated the relationship between depressive/anxiety symptoms and intention to quit smoking.

CONCLUSIONS

Psychiatric symptoms were significant factors in reducing the willingness of smokers to quit smoking, and the effects were moderated by smokers' cigarette consumption conditions. Interventions are urged to enhance quitting intentions of these vulnerable smokers.

Are we equally at risk of changing smoking behavior during a public health crisis? Impact of educational level on smoking from the TEMPO cohort

BACKGROUND

The COVID-19 pandemic as a public health crisis has led to a significant increase in mental health difficulties. Smoking is strongly associated with mental health conditions, which is why the pandemic might have influenced the otherwise decline in smoking rates. Persons belonging to socioeconomically disadvantaged groups may be particularly affected, both because the pandemic has exacerbated existing social inequalities and because this group was more likely to smoke before the pandemic. We examined smoking prevalence in a French cohort study, focusing on differences between educational attainment. In addition, we examined the association between interpersonal changes in tobacco consumption and educational level from 2018 to 2021.

METHODS

Using four assessments of smoking status available from 2009 to 2021, we estimated smoking prevalence over time, stratified by highest educational level in the TEMPO cohort and the difference was tested using chi² test. We studied the association between interpersonal change in smoking status between 2018 and 2021 and educational attainment among 148 smokers, using multinomial logistic regression.

RESULTS

Smoking prevalence was higher among those with low education. The difference between the two groups increased from 2020 to 2021 (4.8-9.4%, p < 0.001). Smokers with high educational level were more likely to decrease their tobacco consumption from 2018 to 2021 compared to low educated smokers (aOR = 2.72 [1.26;5.89]).

CONCLUSION

Current findings showed a widening of the social inequality gap in relation to smoking rates, underscoring the increased vulnerability of persons with low educational level to smoking and the likely inadequate focus on social inequalities in relation to tobacco control policies during the pandemic.

Identifying high school smokers likely to persist in smoking at age 31

OBJECTIVE

Quitting smoking by the mid-30 s conveys important health benefits. Yet, although many smokers attempt to quit, few succeed. Identification of the characteristics of adolescent smokers most likely to continue smoking between ages 30 and 40 could help target early cessation efforts. Our objectives in this study were to (i) describe the course of smoking in a population-based sample of high school smokers into their 20 s and 30 s, and (ii) identify distal predictors of past-year cigarette smoking at age 31.

METHODS

Data at ages 17 (in 11th grade), 20, 24 and 31 were drawn from a 20-year longitudinal study of students ages 12-13 at inception, from 10 high schools in Montréal, Canada. Associations between 11 smoking-related characteristics measured in 11th grade and past-year smoking at age 31 were estimated in multivariable logistic regression models.

RESULTS

Among 244 11th grade smokers (67.4% female; 41% daily smokers), past-year smoking was reported by 71% at age 20, 68% at age 24, and 52% at age 31. Only 12% reported abstinence at ages 20, 24 and 31. Females were less likely than males to smoke at age 31. Parental smoking while the smoker was in 11th grade, use of other tobacco products, longer time since smoking onset, weekly or daily smoking, monthly cigarette consumption, and perceived nicotine addiction predicted past-year smoking at age 31.

CONCLUSIONS

In addition to preventive interventions, cessation programs targeting novice smokers in high school as soon as they begin smoking, are warranted.

The cost-effectiveness of tailored smoking cessation interventions for people with severe mental illness: a model-based economic evaluation

BACKGROUND

Tailored smoking cessation interventions, which combine behavioural and pharmaceutical support, are effective in populations with severe mental illness (SMI). We establish the cost-effectiveness of two tailored interventions in the UK: (i) a bespoke smoking cessation intervention (BSCI) versus usual care, and (ii) integrated tobacco cessation and mental health care (IC) versus standard smoking cessation clinic (SCC) referral.

METHODS

This economic evaluation was conducted between January 15th 2019 and August 4th 2022. We adapted a Markov model estimating smoking status, healthcare costs and quality-adjusted life years (QALYs) across the lifetime. Intervention effectiveness and costs were obtained from a systematic review and a meta-analysis. We obtained specific parameter values for populations with SMI for mortality, risk of smoking related comorbidities, and health utility. Uncertainty was analysed in deterministic and probabilistic sensitivity analysis (PSA).

FINDINGS

The BSCI was cost-effective versus usual care with an incremental cost-effectiveness ratio (ICER) of £3145 per QALY (incremental costs: £165; incremental QALYs: 0.05). Integrated care was cost-effective versus SCC with an ICER of £6875 per QALY (incremental costs: £292; incremental QALYs: 0.04). The BSCI and IC were cost-effective in 89% and 83% of PSA iterations respectively. The main area of uncertainty related to relapse rates.

INTERPRETATION

Our findings suggested that the tailored interventions were cost-effective and could increase QALYs and decrease expenditure on treating smoking related morbidities if offered to people with SMI.

FUNDING

York Health Economics Consortium was funded by the National Institute for Health and Care Excellence to produce economic evaluations to inform public health guidelines.

The Impact of Older Age on Smoking Cessation Outcomes After Standard Advice to Quit

Older adults are a high priority population for smoking cessation. This study observed the influence of older age on the relationship between quitting predictors and cessation. Secondary analysis was conducted of a primary care trial of adults who smoke cigarettes randomized to standard advice to quit or advice plus 2 week supply of nicotine replacement therapy. Logistic regressions assessed interactions of age (<60 vs. ≥ 60 years) by predictors in relation to quit attempts and 6-month cessation controlling for treatment. Predicting quit attempts, there was an interaction of age by motivation (p = .025) and trend of age by nicotine dependence (p = .057). Predicting 6-month cessation, an interaction of age by motivation was observed (p = .020) and a trend of age by dependence (p = .067). For those with high nicotine dependence, older adults had less successful outcomes compared to younger counterparts. Yet among participants unmotivated to quit, older adults had more successful outcomes than those younger.

Factors associated with predictors of smoking cessation from a Norwegian internet-based smoking cessation intervention study

INTRODUCTION

We examined if we could identify predictors for smoking cessation at six months post cessation, among smokers enrolled in a large Norwegian population-based intervention study.

METHODS

We followed 4333 (72.1% women) smokers who enrolled in an internet-based smoking cessation intervention during 2010–2012. The baseline questionnaire collected information on sociodemographic and lifestyle factors, including current snus use. The cessation outcome was self-reported no smoking past seven days, at six months. We used logistic regression to estimate odds ratios (ORs) with 95% confidence intervals, to identify predictors of smoking cessation, adjusting for potential confounders.

RESULTS

Women (OR=1.30; 95% CI: 1.01–1.69) compared with men, and those with medium (OR=1.31; 95% CI: 1.02–1.68) and longer (OR=1.42; 95% CI: 1.06–1.90) education compared with those with shorter education, were more likely to be successful quitters.

Overall, being a student (OR=0.56; 95% CI: 0.37–0.85) compared with having full-time work, and a moderate to high Fagerström test for nicotine dependence (FTND) score (OR=0.69; 95% CI: 0.55–0.87) compared with a low score, were predictors for unsuccessful cessation. Current snus use was a predictor for unsuccessful cessation compared to no snus use for both men (OR=0.49; 95% CI: 0.28–0.88) and women (OR=0.49; 95% CI: 0.32–0.75).

CONCLUSIONS

Our study identifies female sex and longer education as predictors for successful smoking cessation, while a medium or high FTND score, being a student, and current snus use, were predictors for unsuccessful smoking cessation. Only current snus use was a predictor for unsuccessful cessation for both sexes. Our results indicate that smokers should be warned that snus use may prevent successful smoking cessation.

High smoking and low cessation rates among patients in treatment for opioid and other substance use disorders

BACKGROUND

Smoking is a well-documented cause of health problems among individuals with substance use disorders. For patients in opioid maintenance treatment (OMT), the risk for somatic health problems, including preventable diseases associated with tobacco smoking, increases with age. Our aim was to describe smoking among patients entering substance use disorder (SUD) treatment, investigate changes in smoking from the start of treatment to 1-year follow-up, and explore factors related to smoking cessation.

METHODS

We employed data from the Norwegian Cohort of Patient in Opioid Maintenance Treatment and Other Drug Treatment Study (NorComt). Participants were 335 patients entering SUD treatment at 21 participating facilities across Norway. They were interviewed at the start of treatment and at 1-year follow-up. The main outcomes were smoking and smoking cessation by treatment modality. A logistic regression identified factors associated with smoking cessation.

RESULTS

High levels of smoking were reported at the start of treatment in both OMT (94%) and other SUD inpatient treatment patients (93%). At 1-year follow-up most patients in OMT were still smoking (87%), and the majority of the inpatients were still smoking (69%). Treatment as an inpatient was positively associated and higher age was negatively associated with smoking cessation. Most patients who quit smoking transitioned to smokeless tobacco or kept their existing smokeless habit.

CONCLUSION

As illustrated by the high smoking prevalence and relatively low cessation levels in our sample, an increased focus on smoking cessation for patients currently in OMT and other SUD treatment is warranted. Harm-reduction oriented smoking interventions may be relevant.

Effect of socioeconomic status on smoking cessation behavior in selected African countries: Secondary analysis of Global Adult Tobacco Survey data (2014-2018)

INTRODUCTION

Tobacco use remains a global public health challenge. While studies report that smoking cessation reduces the risk of cancer and other NCDs, evidence is scarce in African region on socio-economic determinants of smoking cessation behavior. This study examined the socio-economic differentials of smoking cessation behavior among smokers in four African countries.

METHODS

The study was conducted through secondary analysis of Global Adult Tobacco Survey (GATS) data from four African countries (Ethiopia, Kenya, Senegal and Tanzania). Smoking cessation behavior was assessed using two variables i) intention to quit smoking in next 12 months and ii) previous quit attempts made within 12 months preceding the survey. The weighted percentages for intention to quit smoking and previous quit attempts were computed. The adjusted odds ratios were computed using multinomial logistic regression to identify the association between socio-economic factors and smoking cessation behavior.

RESULTS

Across the four countries studied, the previous quit attempts among smokers were in the range of 39.6% to 53.7%. Around 7.6% to 15.8% of the smokers tried to quit with an assistance. In Ethiopia over 76.5% of current smokers reported no intention to quit in next 12 months after survey, whereas the same was 50.4% in Senegal. While country specific differences were observed, females, those belonging to the poorest wealth index, unemployed and those without any formal education reported significantly lower odds of previous quit attempts or having an intention to quit smoking.

CONCLUSION

The socio-economic vulnerabilities were found to compromise smoking cessation behavior among the smokers in countries studied. Targeted interventions, adherence to smokefree laws, and provision of cessation support are essential to improve quit rates and mitigate tobacco risks among socio-economically vulnerable population.

The Australia Smoking and Vaping Model: The Potential Impact of Increasing Access to Nicotine Vaping Products

BACKGROUND

We model the potential impact of relaxing current nicotine vaping product (NVP) restrictions on public health in Australia.

AIMS AND METHODS

A Restricted NVP Scenario was first developed to project current smoking and vaping rates, where a U.S. smoking model was calibrated to recent Australian trends. To model less restrictive NVP policies, a Permissive NVP Scenario applied rates of switching from smoking to vaping, initiation into NVP and cigarette use, and cessation from smoking and vaping based on U.S. trends. The model measures vaping risk relative to the excess mortality rate of smoking. The public health impacts are measured as the difference between smoking- and vaping-attributable deaths (SVADs) and life years lost (LYLs) in the Restricted and Permissive NVP Scenarios. Sensitivity analysis is conducted regarding the NVP excess risk and other factors.

RESULTS

Assuming an NVP excess risk of 5% that of smoking, 104.2 thousand SVADs (7.7% reduction) and 2.05 million LYLs (17.3% reduction) are averted during 2017-2080 in the Permissive NVP Scenario compared to the Restricted NVP Scenario. Assuming 40% NVP excess risk, 70 thousand SVADs and 1.2 million LYLs are averted. The impact is sensitive to the rate at which smokers switch to NVPs and quit smoking, and relatively insensitive to the smoking initiation and NVP initiation and cessation rates.

CONCLUSIONS

The model suggests the potential for public health gains to be achieved by relaxing NVP access regulations. However, the model would benefit from better information regarding the impact of NVPs on smoking under a relaxation of current restrictions.

IMPLICATIONS

Australia has implemented a strong array of cigarette-oriented policies, but has restricted access to NVPs. The Smoking and Vaping Model offers a framework for modeling hypothetical policy scenarios. The Australian model shows the potential for public health gains by maintaining cigarette-oriented policies while relaxing the current restrictive NVP policy. Modeling results under a permissive NVP policy are particularly sensitive to the estimated rates of smoking cessation and switching to vaping, which are not well established and will likely depend on past and future cigarette-oriented policies and the specific NVP policies implemented in Australia.

Factors Associated with Quit Intentions among Adult Smokers in South Korea: Findings from the 2020 ITC Korea Survey

Background: South Korea has made substantial progress on tobacco control, but cigarette smoking prevalence is still high. Previous studies were conducted before the use of nicotine vaping products (NVPs) or heated tobacco products (HTPs) became popular. Thus, whether the concurrent use of NVPs or HTPs affects quit intentions among Korean smokers remains a question that needs to be explored. This study aims to identify predictors of quit intentions among cigarette-only smokers and concurrent users of cigarettes and NVPs or HTPs. Methods: Data were from the 2020 International Tobacco Control Korea Survey. Included in the analysis were 3778 adult cigarette smokers: 1900 at-least-weekly exclusive smokers and 1878 at-least-weekly concurrent smokers and HTP or NVP users. Bivariate and multivariable logistic regression analyses were conducted. Results: Quit intentions were reported by 66.4% of respondents. Factors significantly associated with quit intentions included younger age, having a spouse/partner, lower nicotine dependence, reporting a past quit attempt, regretting starting smoking, believing that smoking had damaged health, worrying that smoking will damage future health, and perceiving health benefits of quitting. Current use of NVPs or HTPs was not significantly associated with quit intentions. Conclusions: This study contributes the following to current literature: intrinsic health-related beliefs were more important than societal norms in shaping quit intentions. These findings should be considered in shaping future smoking cessation policies, such as reinforcing education programs that emphasize the benefits of quitting for personal health reasons, lowering nicotine dependence, and encouraging multiple quit attempts and successful quitting.

Factors associated with quit attempt and successful quitting among adults who smoke tobacco in Ethiopia: Global Adult Tobacco Survey (GATS) 2016

INTRODUCTION

METHODS

RESULTS

CONCLUSIONS

Age-Related Interactions on Key Theoretical Determinants of Smoking Cessation: Findings from the ITC Four Country Smoking and Vaping Surveys (2016-2020)

BACKGROUND

This paper explores whether plans to quit, wanting to quit, and quit efficacy add predictive value over measures of habit strength and dependence in making quit attempts and/or attaining smoking abstinence.

AIMS AND METHODS

We used three waves of the International Tobacco Control (ITC) Four Country Smoking and Vaping Survey conducted in 2016, 2018, and 2020. Baseline daily smokers (N = 6710) who provided data for at least one wave-to-wave transition (W1 to W2, N = 3511 or W2 to W3, N = 3199) and provided outcome data at the next wave (follow-up) formed the analytic sample. Generalized estimating equations (GEE) logistic regression analyses examined predictors of quit attempts and abstinence at follow-up (1- and 6-month sustained abstinence).

RESULTS

Wanting and planning to quit were significantly positively associated with making quit attempts, but negatively associated with smoking abstinence. A significant interaction between the Heaviness of Smoking Index and age warranted an age-stratified analysis for both abstinence outcomes. Lower HSI predicted abstinence in only the younger smokers Motivation and plans to quit were positively associated with abstinence in younger smokers, but surprisingly were negatively associated with abstinence in older smokers. Quit efficacy was associated with abstinence in the older, but not the younger smokers.

CONCLUSIONS

Models of smoking abstinence are significantly improved by including motivational predictors of smoking. Age was an important moderator of the association between abstinence for both dependence and motivational variables.

IMPLICATIONS

The findings from this large cohort study indicate there are age-related differences in predictors of smoking abstinence but not quit attempts. These associations may reflect differential experiences of older and younger cohorts of smokers, which may have implications for interventions to motivate and assist smokers in quitting.