Dependence and motivation to stop smoking as predictors of success of a quit attempt among smokers seeking help to quit

Covariates of success in quitting smoking: a systematic review of studies from 2008 to 2021 conducted to inform the statistical analyses of quitting outcomes of a hospital-based tobacco dependence treatment service in the United Kingdom

Background

Smoking cessation interventions are being introduced into routine secondary care in the United Kingdom (UK), but there are person and setting-related factors that could moderate their success in quitting smoking. This review was conducted as part of an evaluation of the QUIT hospital-based tobacco dependence treatment service ( https://sybics-quit.co.uk). The aim of the review was to identify a comprehensive set of variables associated with quitting success among tobacco smokers contacting secondary healthcare services in the UK who are offered support to quit smoking and subsequently set a quit date. The results would then be used to inform the development of a statistical analysis plan to investigate quitting outcomes.

Methods

Systematic literature review of five electronic databases. Studies eligible for inclusion investigated quitting success in one of three contexts: (a) the general population in the UK; (b) people with a mental health condition; (c) quit attempts initiated within a secondary care setting. The outcome measures were parameters from statistical analysis showing the effects of covariates on quitting success with a statistically significant (i.e., p-value <0.05) association.

Results

The review identified 29 relevant studies and 14 covariates of quitting success, which we grouped into four categories: demographics (age; sex; ethnicity; socio-economic conditions; relationship status, cohabitation and social network), individual health status and healthcare setting (physical health, mental health), tobacco smoking variables (current tobacco consumption, smoking history, nicotine dependence; motivation to quit; quitting history), and intervention characteristics (reduction in amount smoked prior to quitting, the nature of behavioural support, tobacco dependence treatment duration, pharmacological aids).

Conclusions

In total, 14 data fields were identified that should be considered for inclusion in datasets and statistical analysis plans for evaluating the quitting outcomes of smoking cessation interventions initiated in secondary care contexts in the UK.

PROSPERO registration

CRD42021254551 (13/05/2021).

A predictive model of waterpipe smoking cessation among women in southern Iran: application of the theory of planned behavior

BACKGROUND

Today, waterpipe (WT) smoking is a rising issue worldwide, and has taken a significant and growing share of tobacco consumption in the world. Present study aimed to explore the predictors of WT cessation in the light of the theory of planned behavior (TPB).

METHODS

This cross-sectional analytical study was conducted in 2021-2022 using a multi-stratified cluster sampling on 1,764 women in Bandar Abbas, southern Iran. Data were collected through a reliable and valid questionnaire. The three-part questionnaire includes demographic information, behavioral information of WT smoking, and the constructs of the TPB along with an additional habit construct. Multivariate logistic regression analysis was run to model the predictor constructs of WT smoking. The data were analyzed statistically in STATA14.2.

RESULTS

With an increase in one attitude score, the odds of cessation increased by 31% (p < 0.001). Also, with an increase of one score in knowledge, the odds of cessation are increased by 0.05% (0.008). With an increase of one score for intention, the odds of cessation are 26% (0.000). in social norms, the odds of cessation are 0.02% (0.001). With an increase of one score in perceived control, the odds of cessation increased by 16% (0.000) and inhabit score, the odds of cessation decrease by 37% (0.000). In the model where the habit construct was present, the accuracy, sensitivity, and pseudo R2 indices were 95.69%, 77.31%, and 65%, respectively and after removing the habit construct, the so-called indices changed to 90.7%, 50.38% and 0.44%, respectively.

CONCLUSIONS

The present research confirmed the effectiveness of the TPB model in predicting waterpipe cessation behavior. The knowledge obtained from this research can help develop a systematic and effective intervention to facilitate waterpipe cessation. Focusing on the habit variable can play a critical role in waterpipe cessation in women.

Addictions, Social Deprivation and Cessation Failure in Head and Neck Squamous Cell Carcinoma Survivors

AIM

To evaluate the evolution of addictions (tobacco and alcohol) and social precarity in head and neck squamous cell carcinoma survivors when these factors are addressed from the time of diagnosis.

METHODS

Addictions and social precarity in patients with a new diagnosis of HNSCC were assessed through the EPICES score, the Fagerström score, and the CAGE questionnaire. When identified as precarious/dependent, patients were referred to relevant addiction/social services.

RESULTS

One hundred and eighty-two patients were included. At the time of diagnosis, an active tobacco consumption was associated with alcohol drinking (Fisher's exact test, p < 0.001). Active smokers were more socially deprived (mean EPICES score = mES = 36.2 [±22.1]) than former smokers (mES = 22.8 [±17.8]) and never smokers (mES = 18.9 [±14.5]; Kruskal-Wallis, p < 0.001). The EPICES score was correlated to the Fagerström score (Kruskal-Wallis, p < 0.001). Active drinkers (mES = 34.1 [±21.9]) and former drinkers (mES = 32.7 [±21]) were more likely to be socially deprived than those who never drank (mES = 20.8 [±17.1]; Krukal-Wallis, p < 0.001). A Fagerström score improvement at one year was associated to a CAGE score improvement (Fisher's exact test, p < 0.001). Tobacco and alcohol consumption were more than halved one year after treatment. Patients who continued to smoke one year after diagnosis were significantly more likely to continue to drink (Fisher's exact test, p < 0.001) and had a significantly higher initial EPICES score (Kruskal-Wallis, p < 0.001).

CONCLUSIONS

At one year, addictions and social deprivation tend to improve when taken care of from the diagnosis. The most dependent patients and those with multiple frailties are at highest risk of cessation failure.

Validation of the Glover-Nilsson Smoking Behavioral Questionnaire (GN-SBQ) to Evaluate Nicotine Dependence in Spanish Clinical Settings

An assessment of the different aspects of tobacco addiction is central to adapting interventions to the profiles and needs of smokers. The Glover−Nilsson Smoking Behavioral Questionnaire (GN-SBQ) is one of the few and most used scales to evaluate the behavioral aspects of tobacco addiction. However, few studies involve the validation of the GN-SBQ in clinical settings. Thus, this study aimed to analyze the psychometric properties of the GN-SBQ in a sample of Spanish smokers. A total of 341 smokers attending clinical services in Spain participated in this cross-sectional study. Measures included the psychological factors related to tobacco addiction, assessed with the GN-SBQ, the physical factors of nicotine addiction, withdrawal symptoms, smoking-related variables, and alcohol use. Data analysis included descriptive statistics, internal consistency coefficients, confirmatory factor analyses, Spearman correlations, and the Kruskal−Wallis test. The GN-SBQ showed adequate reliability (α = 0.76 and ω = 0.76) and a unidimensional structure. GN-SBQ scores also provided evidence of convergent and concurrent validity. GN-SBQ scores significantly correlated with the physical symptoms of addiction, age, number of cigarettes, and withdrawal symptoms. The results of discriminant validity were also adequate, as no correlation was observed between GN-SBQ scores and CO levels or alcohol use. Significant differences were found between all levels of psychological addiction based on the GN-SBQ scores regarding physical nicotine addiction, withdrawal symptoms, and age. Thus, this questionnaire is a reliable and valid instrument to assess the psychological aspects of tobacco addiction in smokers in clinical settings. The short length of the GN-SBQ proves advantageous for its use in time-limited assessments, which are common in public health services.

Telephone-Based Smoking Cessation Counseling Service: Satisfaction and Outcomes in Vietnamese Smokers

BACKGROUND

As a method to acknowledge the devastating health and economic impacts of tobacco usage worldwide, telephone-based tobacco cessation counseling services have emerged as a potential tool to aid people in their quitting process. This study explores the satisfaction of smokers who use the QUITLINE service and factors associated with their quit attempts and cessation.

METHODS

A cross-sectional survey of 110 participants was conducted from June to July 2016 at the Respiratory Center at Bach Mai Hospital, Hanoi, Vietnam. Multivariate logistic regression was used, and it was found that the percentage of people quitting smoking increased after using the service.

RESULTS

In total, 65.5% of participants were completely satisfied with the counseling service. The mean score of staff/s capacity/responsiveness, motivation, and service convenience were 4.37 ± 0.78, 4.30 ± 0.81, and 4.27 ± 0.66, respectively. The smoking relapse rate was relatively high at 58.3%, which mainly resulted from cravings and busy work (26.2% and 14.3%, respectively). A higher satisfaction score in "Staffs' capacity and responsiveness" was negatively associated with "ever tried to quit smoking in consecutive 24 h" and actually quit smoking after receiving counseling. Meanwhile, a higher score in the "Motivation" domain was positively associated with both quit attempt indicators as well as actually quitting smoking after receiving counseling (OR = 9.48; 95%CI = 2.27; 39.57).

CONCLUSIONS

These results suggest that it is crucial for decision makers to place more focus on countermeasures for smoking relapse and to strengthen the capacity of staff, especially in motivating clients. Interventions should also be maintained throughout a long period of time to prevent relapse.

F, Deng X, Wang Y, Wang Z, Wu Y, Xu M, Yang C, Li X, Yang K. Pharmacological interventions on smoking cessation: A systematic review and network meta-analysis

Objective: A network meta-analysis based on randomized controlled trials was conducted to investigate the effects of pharmacological interventions on smoking cessation.

Methods: English databases were searched to obtain randomized controlled trials reporting the effect of pharmacological interventions on smoking cessation. The risk of bias for the included trials was assessed using Cochrane Handbook tool. Stata 15.1 software was used to perform network meta-analysis, and GRADE approach was used to assess the evidence credibility on the effects of different interventions on smoking cessation.

Results: A total of 159 studies involving 60,285 smokers were included in the network meta-analysis. The analysis involved 15 interventions and which yielded 105 pairs of comparisons. Network meta-analysis showed that varenicline was more helpful for smoking cessation than other monotherapies, such as nicotine replacement therapy [Odds Ratio (OR) = 1.42, 95% confidence interval (CI) (1.16, 1.73)] and bupropion [OR = 1.52, 95% CI (1.22, 1.89)]. Furthermore, combined interventions were superior to monotherapy in achieving smoking cessation, such as varenicline plus bupropion over bupropion [OR = 2.00, 95% CI (1.11, 3.61)], varenicline plus nicotine replacement therapy over nicotine replacement therapy [OR = 1.84, 95% CI (1.07, 3.18)], and nicotine replacement therapy plus mecamylamine over naltrexone [OR = 6.29, 95% CI (1.59, 24.90)]. Finally, the surface under the cumulative ranking curve value indicated that nicotine replacement therapy plus mecamylamine had the greatest probability of becoming the best intervention.

Conclusion: Most pharmacological interventions demonstrated a benefit in smoking cessation compared with placebo, whether monotherapy or combination therapy. Moreover, confirmed evidence suggested that some combination treatments, such as varenicline plus bupropion and nicotine replacement therapy plus mecamylamine have a higher probability of being the best smoking cessation in

Associations of tobacco cigarette use and dependence with substance use disorder treatment completion by sex/gender and race/ethnicity

INTRODUCTION

Individuals with substance use disorders (SUD) are approximately five times more likely to smoke cigarettes than the general population. Individuals who smoke cigarettes have greater odds of SUD relapse compared to individuals who do not smoke cigarettes, but we know little about how cigarette use is related to SUD treatment completion overall by sex/gender or race/ethnicity.

METHODS

This study examined 2855 adults (71.98 % male; >70 % racial/ethnic minority) in outpatient and residential SUD treatment at a New York-based treatment agency over a six-month period in 2018.

RESULTS

Overall, approximately three-fourths of SUD treatment-seeking participants smoked cigarettes, with high rates across sex/gender and racial/ethnic groups. Nicotine dependence did not differ by sex/gender, and White Non-Hispanic adults had the highest levels of nicotine dependence across racial/ethnic groups. Those who smoked cigarettes were significantly less likely to complete treatment compared to those who did not smoke cigarettes (OR = 0.69; 95 % CI: 0.58, 0.82). The study found no overall differences in SUD treatment completion and length of stay by sex/gender or race/ethnicity.

CONCLUSIONS

Given the high prevalence of cigarette smoking and lower odds of completing SUD treatment, the current system of care for SUD treatment may be enhanced by addressing cigarette smoking from onset of treatment.

Abstinence Rate, Adverse Events and Withdrawal Symptoms after Varenicline Use and Predicting Factors of Smoking Abstinence: A Multicentre Single-State Study in Malaysia

(1) Background: Varenicline is a widely prescribed agent in smoking cessation. However, the abstinence rate, the incidence of adverse events and withdrawal symptoms, have not been widely studied locally. This study aimed to determine the prevalence of smoking abstinence, adverse events and withdrawal symptoms associated with varenicline use, as well as possible factors contributing to successful smoking abstinence. (2) Methods: This was a retrospective, cohort study conducted in twenty-two government-operated smoking cessation clinics across the state of Perak, Malaysia. The medical records of adult smokers (age ≥ 18 years old) who were prescribed with varenicline between January 2017 and June 2018 were traced. The medical records of smokers who used pharmacotherapy other than varenicline, those who received less than four weeks of varenicline treatment, and with missing data were excluded. (3) Results: Sixty-eight out of 114 subjects (59.6%) successfully achieved smoking abstinence. Probable varenicline-induced chest pain was documented in three subjects. Altered behaviour (n = 2) and auditory hallucinations (n = 1) were also reported. Varenicline treatment duration is a significant predictive factor for successful smoking abstinence (odds ratio (OR) = 2.45; 95% confidence interval (CI) 1.74−3.45; p < 0.001), followed by age (OR = 1.25; 95% CI 1.005−1.564; p = 0.045), the presence of adverse events (OR = 0.096; 95% CI 0.014−0.644; p = 0.016) and withdrawal symptoms (OR = 0.032; 95% CI 0.016−0.835; p = 0.032). (4) Conclusion: Almost two-thirds of the subjects achieved smoking abstinence with varenicline. The duration of the treatment, as well as the patients’ ages had a significant influence on successful smoking abstinence. Rare cases of cardiovascular and neuropsychiatric-related adverse events were reported, warranting continuous surveillance and adverse drug reaction reporting.

What makes people quit tobacco and succeed at it? An exploratory analysis of smoked and smokeless tobacco from India

Tobacco cessation is a key component of WHO's Framework Convention on Tobacco Control. However, success rates decline significantly from intending to quit tobacco, through attempting and becoming a successful quitter. Among Indian adults, the prevalence of smoking and smokeless tobacco use was 10.7% and 21.4% respectively in 2016. Furthermore, 9% of all deaths were estimated to be attributable to tobacco. This study aims to explore associations of socio-demographic, environmental and behavioural dimensions of tobacco users with the process of successful quitting. Multivariable logistic regression analyses were conducted to study (i) attempting to quit and (ii) being a successful quitter for smoked and smokeless tobacco, using cross-sectional Global Adult Tobacco Survey (GATS) datasets for India (2009-10 and 2016-17), where data was pooled from the two surveys (n = 53,463). Advise to quit by health care provider was associated with quit attempts of smoking (1.82, 95% CI: [1.51; 2.20]), and smokeless tobacco (1.71, 95% CI: [1.45; 2.01]). Never being exposed to smoke at home was the strongest environmental factor for successful smoking cessation (4.04, 95% CI: [2.59; 6.31]). Noticing label warnings and advertisements was also associated with attempting to quit smoked and smokeless tobacco. Being a former smoker/smokeless tobacco user was positively connected with attempting to quit the current use of the other tobacco form. We recommend strategies to promote smoke-free homes, and incorporating 'tobacco cessation advocacy' into the curriculum of health care workers. Strengthening the tobacco control law and program promulgated in India since 2003 and its implementation would significantly promote tobacco cessation.

Smoking cessation reduces systemic inflammation and circulating endothelin-1

Smoking increases systemic inflammation and circulating endothelin-1 (ET-1), both of which contribute to an elevated risk of cardiovascular disease (CVD). The present study sought to test the hypothesis that a 12-week smoking cessation intervention would contribute to a long-term reduction in circulating ET-1, tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6). 30 individuals participated in a 12-week evidence-based smoking cessation program at Augusta University. Serum cotinine, plasma inflammatory cytokines, and plasma ET-1 were determined at baseline, immediately after the 12-week cessation program (end of treatment, EOT), and 12-months (12M) following the cessation program. Serum cotinine was significantly reduced (p < 0.001) at EOT and 12M following the smoking cessation program. Compared to BL (7.0 ± 1.6 pg/mL), TNF-α was significantly reduced at EOT (6.3 ± 1.5 pg/mL, p = 0.001) and 12M (5.2 ± 2.7 pg/mL, p < 0.001). ET-1 was significantly lower at EOT (1.9 ± 0.6 pg/mL, p = 0.013) and at 12M (2.0 ± 0.8 pg/mL, p = 0.091) following smoking cessation compared with BL (2.3 ± 0.6 pg/mL). BL concentrations of cotinine were significantly associated with basal ET-1 (r = 0.449, p = 0.013) and the change in cotinine at 12M following smoking cessation was significantly associated with the change in plasma ET-1 at 12M (r = 0.457, p = 0.011). Findings from the present pilot investigation demonstrate that a 12-week smoking cessation program reduces circulating concentrations of ET-1 and TNF-α for at least a year. The reduction in serum cotinine was associated with the decrease in circulating ET-1. The attenuation in ET-1 and inflammation may in part, contribute to the lower risk of CVD that is observed with smoking cessation.

Rate and correlates of tobacco treatment during a primary care visit for a largely urban and African American sample of smokers

Introduction

Evidence-based treatments for tobacco use are under-utilized and primary care visits may be an opportune time to address this gap. This study examined the rate at which primary care visits included tobacco use treatment and examined patient demographics, smoking characteristics, attitudes about tobacco use treatments, and comorbidities as correlates of treatment provision.

Methods

This prospective study assessed demographics, smoking characteristics, attitudes about tobacco use treatments, and comorbidities via interview prior to a primary care visit among 105 patients. One week following the appointment, 85 patients were reassessed for the tobacco use treatments they received during their appointment (i.e., asked about their tobacco use, advised to quit, and provided with a referral to a tobacco use treatment program or an FDA-approved tobacco use medication).

Results

93% of patients were asked about their tobacco use, 74% were advised to quit, 37% were provided with a referral for tobacco use treatment, and 27% received an FDA-approved medication (16% NRT, 11% varenicline or bupropion). Patients with higher quit motivation and who endorsed that medications can reduce cravings were more likely to report receiving tobacco use medication. Patients with a self-reported substance abuse history were less likely to report receiving tobacco use medications.

Conclusions

The provision of tobacco use medications within primary care remains low. Strategies to increase patient quit motivation and help patients understand that tobacco use medications can mitigate cravings may increase use. Strategies may also be needed to ensure that patients with comorbid substance abuse still receive tobacco use treatments.

Predictors of smoking reduction among African American and Latinx smokers in a randomized controlled trial of JUUL e-cigarettes

INTRODUCTION

E-cigarette (e-cig) use is widespread and may play an important role in facilitating smoking reduction. Racial/ethnic minorities are less likely than Whites to use e-cigs and suffer disproportionate tobacco-related disease, making them a priority for harm reduction. This paper explores factors associated with smoking reduction among African American (AA) and Latinx smokers enrolled in a trial assessing toxicant exposure in those assigned to e-cigs or smoking as usual.

METHODS

Participants were randomized to receive 6 weeks of JUUL e-cigs or continue smoking cigarettes as usual (N = 187). This analysis focuses on 109 participants randomized to e-cigs. We modeled cigarettes smoked in the past week at baseline and week 6 as a function of a priori selected predictors (number of JUUL pods used throughout the study, baseline cigarette dependence, and baseline cotinine) using a Poisson model fit with generalized estimating equations.

RESULTS

Over the six-week study, cigarette smoking decreased from an average of 82.4 to 15.5 cigarettes per week. Greater numbers of JUUL pods used predicted a greater smoking reduction by week 6 (IRR = 0.94 [0.91, 0.96], p < 0.001). Higher baseline cigarette dependence (IRR = 1.03 [1.01, 1.05], p = 0.004), and baseline cotinine (IRR = 1.18 [1.03, 1.37], p = 0.020) predicted a lesser smoking reduction.

CONCLUSIONS

AA and Latinx smokers reduced their cigarette consumption while using JUUL e-cigs. Higher e-cig use during an intervention to switch to e-cigs to reduce harm may facilitate a transition to smoking fewer cigarettes, offering an opportunity to narrow smoking-related health disparities.

Tobacco dependence affects determinants related to quitting intention and behaviour

This study uses protection motivation theory (PMT) to examine the quitting intentions and behaviours of smokers who have varying levels of nicotine dependence. Our goals are to identify the psychological factors that influence smoking cessation and to provide valuable evidence to promote theory-guided interventions. This is a cross-sectional study that was conducted from July to August 2020. Participants were randomly selected on the streets of 26 provinces on mainland China. Data were collected via face-to-face interviews. Our analysis was conducted in three steps. First, we employed descriptive statistics to present the overall characteristics of our sample. Second, we analysed the association between PMT constructs and quitting intentions stratified by nicotine dependence. Third, we tested how quitting intentions were associated with quitting behaviours in each subgroup using logistic regression models. For intention, almost all the PMT constructs were significantly associated with quitting intention in the low-dependence group. For the moderate- and high-dependence groups, only perceived vulnerability (coefficient = 0.35, P = 0.04) was positively associated with quitting intention. For behaviour, we found a stronger association between quitting intention and behaviour in the low-dependence group (Coef. = 1.67, P = 0.00) than for the other groups. We found a significant association between e-cigarette use and quitting behaviour only in the low-dependence group (Coef. = 1.34, P = 0.00). Coefficients for the moderate- and high-dependence groups were not statistically significant. Smokers at various levels of nicotine dependence have different psychological factors that influence their intentions to stop smoking. Quitting intention was more significantly associated with quitting behaviour for the low nicotine-dependence group than for the other groups. More convincing research is necessary to determine how e-cigarette use affects quitting behaviour in the long term.

The Effectiveness of Health Education Using Audiovisual on the Santri Smokers' Motivation to Stop Smoking

Background and objective:

Low motivation to quit smoking affects individual smoking behavior. Health education using audiovisual media can increase smokers’ motivation to quit smoking. The objective of this study was to determine the effectiveness of health education using audiovisuals on the Santri smokers’ motivation to stop smoking.

Methods:

This quasi-experimental study was carried out using a pretest-posttest design. The sample in this study included Santri smokers studying at the Traditional Islamic Boarding School in Aceh Besar . This study consisted of 4 groups. Three groups were given intervention (audiovisual health education with different themes) and one group received just health education. Groups were compered in terms of difference in the mean smokers’ motivation to quit smoking. The data analysis was done by running paired t-test and one-way ANOVA.

Results:

The results of statistical tests showed that there was a difference in the mean motivation to quit smoking before and after the intervention in each group (mean ± SD for group 1 to 4 was 11.52 ± 4.76, 15.39 ± 6.06, 22.57 ± 6.23, and 9.84 ± 6.42, respectively). The highest increase in the mean motivation to quit smoking was allocated to group 3 who received audiovisual health education with the theme of risk of developing cancer due to smoking.

Conclusion:

Health education using audiovisuals could increase the motivation of students to quit smoking, especially interventions on the risk of developing cancer due to smoking. Therefore, health workers are suggested to use audiovisuals to implement various intervention in order to change smoking behavior in students.

A clinical trial comparing smoking cessation interventions at two levels of intensity in stroke patients, stratified by the presence of insular cortex lesions

INTRODUCTION

Smoking is a stroke risk factor but the most efficient way to promote cessation is unknown. The smoking behavior in patients during the first 2 years post-stroke is studied comparing brief advice and intensive behavioral counseling interventions, taking into consideration biological, psychological, and social factors.

METHODS

Randomized clinical trial of 196 stroke patients, stratified by the presence or not of an insular cortex lesion, with two levels of smoking cessation intervention.

RESULTS

The study retention rate was 85.2%. Abstinence point prevalence at three months after stroke was 50% in the brief advice group and 51.7% in the intensive behavioral counseling group (p =.82) and at 24 months, 48.3% in the brief group and 47.5% in the intensive group (p =.92). Most relapses occurred in the first weeks. After 3 months the curves separated with fewer events in the intensive group and at 24 months the Hazard Ratio was 0.91 (95% CI = 0.61 to 1.37; p =.67).Twenty-four months after stroke, patients with an insular lesion were more likely to be abstinent (OR 3.60, 95% CI = 1.27 to 10.14), as were those who lived with a partner (OR 2.31, 95% CI = 1.17 to 4.55) and those who were less dependent (OR 0.84, 95% CI = 0.73 to 0.97).

CONCLUSIONS

A high percentage of patients gave up smoking in both intervention groups with no significant differences between the two. The effect of the insular lesion on smoking cessation, which is early and continued after two years, is particularly notable.

Is the motivation to quit smoking a predictor of abstinence maintenance?

INTRODUCTION

The aim of this study was to explore the utility of measuring motivation to quit smoking as a predictor of abstinence maintenance among smokers who wanted to quit and who were included in a multicenter study conducted in daily clinical practice.

METHODS

This observational, longitudinal (prospective cohort), multicenter study was conducted in smoking clinics in Spain and the Argentine Republic in daily clinical practice. Motivation was assessed using three quantitative motivation tests and a Visual Analogue Scale. Statistical analysis included descriptive, association measures and logistic regression models.

RESULTS

Of a total of 404 subjects, 273 were ultimately included for analysis (147 women; 53.8%), mean age 51±11 years). In one year, 53.5% (36.13% by intention to treat) of subjects (146) were successful in quitting smoking [men: 45.2% (66) and women: 54.8% (80)], with no differences between sexes. None of the scales utilized was associated, in an unquestionable or direct way, with long-term abstinence, although three of them, in a very complex model, with additional variables and added interactions, were associated with the ‘result’ variable, when other variables intervened in certain circumstances.

CONCLUSIONS

None of the analyzed motivational scales alone demonstrated an association with success or failure in quitting smoking; thus, their use in isolation is of no value. Some of the scales analyzed might be related to the maintenance of abstinence but in complex models where other variables intervene, which makes interpretation considerably difficult. Therefore, the predictive capacity of the tests analyzed, based on the models, was low.

Impact of Chinese respiratory physicians participating in smoking cessation and mobile health: A randomised feasibility trial

INTRODUCTION

People who are eager to quit smoking often lack long-term, daily smoking cessation guidance. In addition, advances in mobile communication technology offer promising ways for providing tobacco dependence treatment. However, it is unclear whether the doctor-WeChat network can improve the smoking cessation rate of nicotine-dependent patients.

METHODS

In this prospective single-blind cohort study, 250 smokers were enrolled from May 2018 to October 2018. They were randomly divided into two groups, with or without doctors' active smoking cessation service, and followed up for 6 months. The smoking cessation rate and characteristics of successful smoking cessation groups were compared. The reasons for relapse were also analysed.

RESULTS

After smoking cessation for 3 months, the success rate of the group involving active respiratory physicians was 65.0% (80/123), whereas the success rate of the control group was 34.7% (34/98). After 6 months, the success rate of the group involving active respiratory physicians was 55.3% (68/123), while that of the control group was only 11.2% (11/98). There was no difference in the weight change of the participants between the two groups. Subgroup analysis showed that doctors' participation had a greater impact on the success of smoking cessation in men younger than 45 years or unemployed.

CONCLUSIONS

Doctors in mobile smoking cessation services played a very important role in improving quit rates. Our research provided methodological guidance for further clinical trials and a template for further real-world applications of smoking cessation services.

Self-Efficacy and Motivation to Quit of Smokers Seeking to Quit: Quantitative Assessment of Smoking Cessation Mobile Apps

Background

Decreasing trends in the number of individuals accessing face-to-face support are leaving a significant gap in the treatment options for smokers seeking to quit. Face-to-face behavioral support and other interventions attempt to target psychological factors such as the self-efficacy and motivation to quit of smokers, as these factors are associated with an increased likelihood of making quit attempts and successfully quitting. Although digital interventions, such as smoking cessation mobile apps, could provide a promising avenue to bridge the growing treatment gap, little is known about their impact on psychological factors that are vital for smoking cessation.

Objective

This study aims to better understand the possible impact of smoking cessation mobile apps on important factors for successful cessation, such as self-efficacy and motivation to quit. Our aim is to assess the self-efficacy and motivation to quit levels of smokers before and after the use of smoking cessation mobile apps.

Methods

Smokers seeking to quit were recruited to participate in a 4-week app-based study. After screening, eligible participants were asked to use a mobile app (Kwit or Quit Genius). The smoking self-efficacy questionnaire and the motivation to stop smoking scale were used to measure the self-efficacy and motivation to quit, respectively. Both were assessed at baseline (before app use), midstudy (2 weeks after app use), and end-study (4 weeks after app use). Paired sample two-tailed t tests were used to investigate whether differences in self-efficacy and motivation between study time points were statistically significant. Linear regression models investigated associations between change in self-efficacy and change in motivation to quit before and after app use with age, gender, and nicotine dependence.

Results

A total of 116 participants completed the study, with the majority being male (71/116, 61.2%), employed (76/116, 65.6%), single (77/116, 66.4%), and highly educated (87/116, 75.0%). A large proportion of participants had a low to moderate dependence on nicotine (107/116, 92.2%). A statistically significant increase of 5.09 points (95% CI 1.83-8.34) from 37.38 points at baseline in self-efficacy was found at the end of the study. Statistically significant increases were also found for the subcomponents of self-efficacy (intrinsic and extrinsic self-efficacies). Similarly, a statistically significant increase of 0.38 points (95% CI 0.06-0.70) from 5.94 points at baseline in motivation to quit was found at the end of the study. Gender, age, and nicotine dependence were not statistically significantly associated with changes in self-efficacy and motivation to quit.

Conclusions

The assessed mobile apps positively impacted the self-efficacy and motivation to quit of smokers making quit attempts. This has important implications on the possible future use of digitalized interventions and how they could influence important psychological factors for quitting such as self-efficacy and motivation. However, further research is needed to assess whether digital interventions can supplement or replace traditional forms of therapy.

Impact of Gamification on the Self-Efficacy and Motivation to Quit of Smokers: Observational Study of Two Gamified Smoking Cessation Mobile Apps

Background

The proportion of smokers making quit attempts and the proportion of smokers successfully quitting have been decreasing over the past few years. Previous studies have shown that smokers with high self-efficacy and motivation to quit have an increased likelihood of quitting and staying quit. Consequently, further research on strategies that can improve the self-efficacy and motivation of smokers seeking to quit could lead to substantially higher cessation rates. Some studies have found that gamification can positively impact the cognitive components of behavioral change, including self-efficacy and motivation. However, the impact of gamification in the context of smoking cessation and mobile health has been sparsely investigated.

Objective

This study aims to examine the association between perceived usefulness, perceived ease of use, and frequency of use of gamification features embedded in smoking cessation apps on self-efficacy and motivation to quit smoking.

Methods

Participants were assigned to use 1 of the 2 mobile apps for a duration of 4 weeks. App-based questionnaires were provided to participants before app use and 2 weeks and 4 weeks after they started using the app. Gamification was quantitatively operationalized based on the Cugelman gamification framework and concepts from the technology acceptance model. The mean values of perceived frequency, ease of use, and usefulness of gamification features were calculated at midstudy and end-study. Two linear regression models were used to investigate the impact of gamification on self-efficacy and motivation to quit.

Results

A total of 116 participants completed the study. The mean self-efficacy increased from 37.38 (SD 13.3) to 42.47 (SD 11.5) points and motivation to quit increased from 5.94 (SD 1.4) to 6.32 (SD 1.7) points after app use. Goal setting was perceived to be the most useful gamification feature, whereas sharing was perceived to be the least useful. Participants self-reported that they used the progress dashboards the most often, whereas they used the sharing feature the least often. The average perceived frequency of gamification features was statistically significantly associated with change in self-efficacy (β=3.35; 95% CI 0.31-6.40) and change in motivation to quit (β=.54; 95% CI 0.15-0.94) between baseline and end-study.

Conclusions

Gamification embedded in mobile apps can have positive effects on self-efficacy and motivation to quit smoking. The findings of this study can provide important insights for tobacco control policy makers, mobile app developers, and smokers seeking to quit.

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.

Smoking Cessation Treatment for Parents Who Dual Use E-Cigarettes and Traditional Cigarettes

INTRODUCTION

An increasing number of parents use both e-cigarettes and cigarettes (dual users). Previous studies have shown that dual users may have higher rates of contemplating smoking cessation than parents who only smoke cigarettes. This study was aimed to assess the delivery of tobacco cessation treatment (prescription for nicotine replacement therapy and referral to the quitline) among parents who report being dual users vs. cigarette-only smokers.

METHODS

A secondary analysis of parent survey data collected between April and October 2017 at 10 pediatric primary care practices participating in a cluster-randomized controlled trial of the Clinical Effort Against Secondhand Smoke Exposure (CEASE) intervention was conducted. Parents were considered to be dual users of cigarettes and e-cigarettes if they reported smoking a cigarette, even a puff, in the past seven days and using an e-cigarette within the past 30 days. Parents were asked if they received a prescription for nicotine replacement therapy and referral to the quitline to help them quit from their child's clinician. Multivariable logistic regression examined factors (dual use, insurance status, relationship to the child, race, and education status of the parent) associated with delivery of smoking cessation treatment (receiving prescriptions and/or enrollment in quitline) to smoking parents. Further, we compared the rates of tobacco cessation treatment delivery to dual users in the usual-care control practices vs. intervention practices.

RESULTS

Of 1007 smokers or recent quitters surveyed in the five intervention practices, 722 parents reported current use of cigarettes-only and 111 used e-cigarettes. Of these 111 parents, 82 (73.9%) reported smoking cigarettes. Parents were more likely to report receiving any treatment if they were dual users vs. cigarette-only smokers (OR 2.43, 95% CI 1.38, 4.29). Child's insurance status, parents' sex, education, and race were not associated with parental receipt of tobacco cessation treatment in the model. No dual users in the usual-care control practices reported receiving treatment. Discussion. Dual users who visited CEASE intervention practices were more likely to receive treatment than cigarette-only smokers when treatments were discussed. An increased uptake of tobacco cessation treatments among dual users reinforces the importance of discussing treatment options with this group, while also recognizing that cigarette-only smokers may require additional intervention to increase the acceptance rate of cessation assistance. This trial is registered with ClinicalTrials.gov, Identifier: NCT01882348.

Electronic cigarettes in standard smoking cessation treatment by tobacco counselors in Flanders: E-cigarette users show similar if not higher quit rates as those using commonly recommended smoking cessation aids

BACKGROUND

This interventional-cohort study tried to answer if people who smoke and choose an e-cigarette in the context of smoking cessation treatment by tobacco counselors in Flanders are achieving smoking abstinence and how they compare to clients who opt for commonly recommended (or no) aids (nicotine replacement therapy, smoking cessation medication).

METHODS

Participants were recruited by tobacco counselors. They followed smoking cessation treatment (in group) for 2 months. At several times during treatment and 7 months after quit date, participants were asked to fill out questionnaires and to perform eCO measurements.

RESULTS

One third of all participants (n = 244) achieved smoking abstinence 7 months after the quit date, with e-cigarette users having higher chances to be smoking abstinent at the final session compared to NRT users. Point prevalence abstinence rates across all follow-up measurements, however, as well as continuous and prolonged smoking abstinence, were similar in e-cigarette users and in clients having chosen a commonly recommended (or no) smoking cessation aid. No differences were obtained between smoking cessation aids with respect to product use and experiences.

CONCLUSIONS

People who smoke and choose e-cigarettes in the context of smoking cessation treatment by tobacco counselors show similar if not higher smoking cessation rates compared to those choosing other evidence-based (or no) smoking cessation aids.

The social gradient in smoking: individual behaviour, norms and nicotine dependence in the later stages of the cigarette epidemic

The cigarette epidemic tends to develop in a similar pattern across diverse populations in different parts of the world. First, the prevalence of smoking increases, then it plateaus and finally it declines. The decline in smoking prevalence tends to be more pronounced in higher social strata. The later stages of the cigarette epidemic are characterized by emerging and persisting socioeconomic gradients in smoking. Due to its detrimental health consequences, smoking has been the subject of extensive research in a broad range of academic disciplines. I draw on literature from both the social and medical sciences in order to develop a model in which physiological nicotine dependence, individual smoking behaviour and norms surrounding smoking in the immediate social environment are related through reflexive processes. I argue that the emergence and persistence of social gradients in smoking at the later stages of the cigarette epidemic can be attributed to a combination of the pharmacological properties of nicotine, network homophily and the unequal distribution of material and non-material resources across social strata.

Predictive Power of Dependence Measures for Quitting Smoking. Findings From the 2016 to 2018 ITC Four Country Smoking and Vaping Surveys

INTRODUCTION

To test whether urges to smoke and perceived addiction to smoking have independent predictive value for quit attempts and short-term quit success over and above the Heaviness of Smoking Index (HSI).

AIMS AND METHODS

Data were from the International Tobacco Control Four Country Smoking and Vaping Wave 1 (2016) and Wave 2 (2018) surveys. About 3661 daily smokers (daily vapers excluded) provided data in both waves. A series of multivariable logistic regression models assessed the association of each dependence measure on odds of making a quit attempt and at least 1-month smoking abstinence.

RESULTS

Of the 3661 participants, 1594 (43.5%) reported a quit attempt. Of those who reported a quit attempt, 546 (34.9%) reported short-term quit success. Fully adjusted models showed that making quit attempts was associated with lower HSI (adjusted odds ratio [aOR] = 0.81, 95% confidence interval [CI] = 0.73 to 0.90, p < .001), stronger urges to smoke (aOR = 1.08, 95% CI = 1.04 to 1.20, p = .002), and higher perceived addiction to smoking (aOR = 0.52, 95% CI = 0.32 to 0.84, p = .008). Lower HSI (aOR = 0.57, 95% CI = 0.40 to 0.87, p < .001), weaker urges to smoke (aOR = 0.85, 95% CI = 0.76 to 0.95, p = .006), and lower perceived addiction to smoking (aOR = 0.55, 95% CI = 0.32 to 0.91, p = .021) were associated with greater odds of short-term quit success. In both cases, overall R2 was around 0.5.

CONCLUSIONS

The two additional dependence measures were complementary to HSI adding explanatory power to smoking cessation models, but variance explained remains small.

IMPLICATIONS

Strength of urges to smoke and perceived addiction to smoking may significantly improve prediction of cessation attempts and short-term quit success over and above routinely assessed demographic variables and the HSI. Stratification of analyses by age group is recommended because the relationship between dependence measures and outcomes differs significantly for younger (aged 18-39) compared to older (aged older than 40) participants. Even with the addition of these extra measures of dependence, the overall variance explained in predicting smoking cessation outcomes remains very low. These measures can only be thought of as assessing some aspects of dependence. Current understanding of the factors that ultimately determine quit success remains limited.

Predictors of Smoking Cessation Attempts and Success Following Motivation-Phase Interventions Among People Initially Unwilling to Quit Smoking

INTRODUCTION

Most people who smoke cigarettes are not willing (ie, not ready) to make a quit attempt (QA) at any given time. Unfortunately, interventions intended to increase QAs and the success of QAs are only modestly effective. Identifying processes leading to QAs and quitting success could guide intervention development.

AIMS AND METHODS

This is a secondary analysis of a randomized factorial trial of 6 weeks of motivation-phase interventions among primary care patients (N = 517) who were initially unwilling to quit but were willing to reduce their smoking. Using logistic regression, we controlled for treatment condition and tested whether baseline or change in smoking-related constructs after 6 weeks of treatment predicted (1) making an at least 24 h QA between weeks 6 and 26 and (2) quitting success at week 26 (7-day point-prevalence abstinence among those who made a QA). Predictors included cigarettes/day, time to first cigarette, motivation to quit, quitting self-efficacy, anticipated urges to smoke if quit, positive affect, negative affect, and time spent around others who smoke.

RESULTS

In multivariable models that included all smoking-related constructs, changes in the following variables predicted initiating a QA above and beyond other variables: greater baseline time to first cigarette (odds ratio [OR] = 1.60), increases in time to first cigarette (OR = 1.27), and increases in quitting self-efficacy (OR = 1.14). Increased motivation to quit predicted conversion of a QA into quitting success at 26 weeks (OR = 1.36).

CONCLUSION

Predictors of making a QA differed from predictors of quitting success. Predictors of QAs and success could each serve as important treatment targets of motivation-phase interventions.

IMPLICATIONS

Motivation-phase interventions for people initially unwilling to quit smoking cigarettes may be improved by striving to increase their (1) time to first cigarette and quitting self-efficacy to promote QAs and (2) motivation to quit to promote quit success. Future experimental tests of such interventions are needed to identify causal determinants of QAs and quitting success.

History and Correlates of Smoking Cessation Behaviors Among Smokers With Serious Mental Illness

INTRODUCTION

Individuals with serious mental illness (SMI) smoke at rates two to three times greater than the general population but are less likely to receive treatment. Increasing our understanding of correlates of smoking cessation behaviors in this group can guide intervention development.

AIMS AND METHODS

Baseline data from an ongoing trial involving smokers with SMI (N = 482) were used to describe smoking cessation behaviors (ie, quit attempts, quit motivation, and smoking cessation treatment) and correlates of these behaviors (ie, demographics, attitudinal and systems-related variables).

RESULTS

Forty-three percent of the sample did not report making a quit attempt in the last year, but 44% reported making one to six quit attempts; 43% and 20%, respectively, reported wanting to quit within the next 6 months or the next 30 days. Sixty-one percent used a smoking cessation medication during their quit attempt, while 13% utilized counseling. More quit attempts were associated with lower nicotine dependence and carbon monoxide and greater beliefs about the harms of smoking. Greater quit motivation was associated with lower carbon monoxide, minority race, benefits of cessation counseling, and importance of counseling within the clinic. A greater likelihood of using smoking cessation medications was associated with being female, smoking more cigarettes, and receiving smoking cessation advice. A greater likelihood of using smoking cessation counseling was associated with being male, greater academic achievement, and receiving smoking cessation advice.

CONCLUSIONS

Many smokers with SMI are engaged in efforts to quit smoking. Measures of smoking cessation behavior are associated with tobacco use indicators, beliefs about smoking, race and gender, and receiving cessation advice.

IMPLICATIONS

Consideration of factors related to cessation behaviors among smokers with SMI continues to be warranted, due to their high smoking rates compared to the general population. Increasing our understanding of these predictive characteristics can help promote higher engagement in evidence-based smoking cessation treatments among this subpopulation.

Real-World Effectiveness of Smoking Cessation Strategies for Young and Older Adults: Findings From a Nationally Representative Cohort

INTRODUCTION

Young adults have high combustible cigarette and e-cigarette use rates, and low utilization of evidence-based smoking cessation strategies compared to older adults. It is unknown whether young adults who try to quit smoking without assistance, with evidence-based strategies, or with e-cigarettes, are equally successful compared to older adults.

AIMS AND METHODS

This analysis used a population-based sample from the Population Assessment of Tobacco and Health study of young adult (aged 18-24, n = 745) and older adult (aged 25-64, n = 2057) established cigarette smokers at Wave 1 (2013-2014) who reported having made a quit attempt at Wave 2 (2014-2015). Cessation strategies were: behavioral therapy, pharmacotherapy, product substitution, 2+ strategies, and unassisted. Logistic regression estimated associations between cessation strategy and short-term cessation status at Wave 2 (quit, no quit); multinomial logistic regression predicted long-term cessation patterns at Waves 2 and 3 (sustained quit, temporary quit, delayed quit, no quit).

RESULTS

No cessation strategy (ref: unassisted) significantly predicted short-term cessation. No cessation strategy (ref: unassisted) significantly predicted long-term cessation patterns for young adults. Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day (adjusted odds ratio [AOR]: 1.70; 95% confidence interval: 1.08, 2.67) but did not predict long-term cessation patterns.

CONCLUSIONS

Despite differences in cessation strategy use between young and older adult smokers, strategy effectiveness largely did not differ by age group. No strategy examined, including e-cigarettes, was significantly associated with successful cessation for young adults. More work is needed to identify effective interventions that help young adult smokers quit.

IMPLICATIONS

(1) Neither behavioral support, pharmacotherapy, nor product substitution was associated with short-term cessation for young or older adults compared to quitting unassisted. (2) Neither behavioral support, pharmacotherapy, nor product substitution was associated with longer-term cessation for young or older adults compared to quitting unassisted. (3) Substitution with e-cigarettes predicted short-term cessation for older daily smokers of ≥5 cigarettes/day but was not associated with longer-term cessation.

Nicotine Dependence, Perceived Behavioral Control, Descriptive Quitting Norms, and Intentions to Quit Smoking among Chinese Male Regular Smokers

The association between nicotine dependence and intentions to quit smoking is well established. However, the underlying mechanisms and psychosocial factors that moderate this relationship have not been adequately delineated. Reinforcement theory, social learning theory, the theory of planned behavior, and the focus theory of normative conduct suggest that perceived behavioral control (PBC) over smoking cessation is a central mechanism that underlies the relationship between nicotine dependence and quitting intentions. Purpose/Objectives: The present study tested a moderated mediation model to examine the roles of PBC over smoking cessation and social norms, in the relationship between nicotine dependence and quit intentions among male regular smokers. Methods: Self-report measures of nicotine dependence, PBC over smoking cessation, descriptive and injunctive quitting norms, and intentions to quit smoking were administered to 204 Chinese male regular smokers. Results: Nicotine dependence was negatively related to quit intentions, and this relationship was mediated by PBC over smoking cessation. Further, the relationship between nicotine dependence and PBC was moderated by descriptive rather than injunctive quitting norms. The negative effects of nicotine dependence on PBC over smoking cessation were not significant among male regular smokers who reported strong descriptive quitting norms. Conclusions/Importance: Poor PBC over smoking cessation underlies the negative effects of nicotine dependence, and descriptive quitting norms act as a buffer against the adverse effects of nicotine dependence on PBC over smoking cessation. These findings have implications for smoking cessation interventions for male regular smokers.

Association between income and education with quit attempts, use of cessation aids, and short-term success in tobacco smokers: A social gradient analysis from a population-based cross-sectional household survey in Germany (DEBRA study)

INTRODUCTION

Smoking is more prevalent in smokers from lower compared with higher socioeconomic (SES) groups, but studies are inconsistent regarding underlying mechanisms. We aimed to assess associations between SES indicators and three distinct aspects of the smoking cessation process: attempting to quit; use of evidence-based cessation treatments; and success.

METHODS

We analysed data of 12,161 last-year smokers (i.e., current smokers and recent ex-smokers who quit ≤ 12 months) from 20 waves (June/July 2016 to August/September 2019) of the German Study on Tobacco Use (DEBRA) - a representative household survey. Associations between indicators of SES (income and education) and (1) last-year quit attempts; (2) use of evidence-based cessation treatment or electronic cigarettes during the last attempt; and (3) short-term self-reported abstinence were analysed using multivariable logistic regression, adjusted for potential confounders.

RESULTS

Of all last-years smokers, 18.6% had attempted to quit, of whom 15.2% had successfully stopped. Higher income (OR 0.82, 95%CI = 0.77-0.88 per 1000€) but low vs. high education (OR 0.83, 95%CI = 0.73-0.95) were associated with lower odds of quit attempts. In smokers with quit attempts, higher income but not education was associated with higher odds of using cessation medication (OR 1.31, 95%CI = 1.08-1.59 per 1000 €). Neither income nor education were associated with using behavioural support or success.

CONCLUSIONS

In the German healthcare system without free access to evidence-based cessation therapy, low-income smokers are more likely to make a quit attempt but less likely to use cessation medication than high-income smokers. Equitable access to such medication is crucial to reduce SES-related health disparities.

Smoker motivations and predictors of smoking cessation: lessons from an inpatient smoking cessation programme

INTRODUCTION

Our study aimed to review the quit rates of smokers from our inpatient smoking cessation programme in relation to habits and sociodemographic factors, and also to explore the potential usefulness of electronic cigarettes (ECs) by reviewing smoking motivations.

METHODS

This was a retrospective study of patients recruited into our inpatient smoking cessation programme from June 2008 to June 2015. Sociodemographic factors and information on smoking habits were collected using a counsellor-administered questionnaire. Patients were given intensive counselling followed by a phone interview at one, three and six months to assess smoking status.

RESULTS

A total of 2,722 patients were enrolled. 27.6% of patients were abstinent at six months' follow-up. Patients who quit smoking were older, married, initiated smoking at a later age and had lower Fagerström Test for Nicotine Dependence scores. There was a trend towards successful quitting in those with higher education levels and Chinese ethnicity, but this was not statistically significant. Patients who planned to quit cold turkey and those who quit because of social pressures were more successful. Of the smoking motivations, only nicotine dependence was an independent predictor of smoking cessation.

CONCLUSION

Smoking motivations such as habitual use and psychological dependence did not influence quit rates and therefore do not support the use of ECs. Instead, a cold turkey method of quitting was shown in our study to contribute to cessation success. We recommend an increased focus on the use of pharmacologic aids as well as involvement of peer/spousal support to aid in such quit attempts.

Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?

Relapse remains a frequent and complex phenomenon that is not yet well understood. An under-researched area of study that may provide relevant information concerns the assessment of specific post-treatment variables, rather than the composite measures commonly used to predict smoking relapse. The current study sought to examine the effects of post-treatment smoking-related variables, including withdrawal symptomatology, abstinence self-efficacy, and smoking urgency in negative-affect situations and smoking relapse at the 3 month follow-up. The sample comprised 130 participants who achieved abstinence for at least 24 h through a cognitive-behavioral smoking cessation treatment. Regression analysis was conducted for both composite measures and specific subscales and items. Data showed that composite measures of tobacco withdrawal, self-efficacy, and smoking urgency in negative-affect situations were not significant predictors of smoking relapse. However, the analysis including subscales, and specific items showed that lower self-efficacy in negative-affect-related situations (OR = 1.36) and three withdrawal symptoms—irritability/frustration/anger (OR = 2.99), restlessness/impatience (OR = 1.87), and craving (OR = 2.31)—were significant predictors of relapse. These findings offer new insights into the role of different smoking-related post-treatment variables in short-term relapse. Considering and specifically targeting these variables after achieving abstinence may potentially contribute to reducing smoking relapse.

Islam and Motivation to Quit Smoking: Public Health Policy Implications

In the WHO Eastern Mediterranean Regional Office some 14 years ago, a 'religiously inspired approach' was proposed to combat tobacco use. This promoted a useful debate in the region. The purpose of this paper is to argue the need to identify the role which Islamic beliefs and teachings play (1) in influencing individual motivation to quit smoking and (2) in gaining support for public policies to reduce smoking. Ramadan and Hajj are taken as key points. These, it is argued, are times when Muslim religious motivation to abstain from smoking is strongest. This paper concludes that there is an insufficient evidence base on which to adopt a religiously inspired approach. All of civil society, including religious Muslim authorities, should rather supplement the efforts of health professionals to encourage smoking cessation.

Socioeconomic differences in the motivation to stop using e-cigarettes and attempts to do so

Introduction

In England, the use of electronic cigarettes as a smoking cessation aid has become more popular than any other aid. Previous research suggests that ex-smokers from lower social groups are more likely to use e-cigarettes compared to ex-smokers from more socially advantaged groups. The present study aimed to assess the association between baseline education, income and employment status and (1) baseline motivation to stop using e-cigarettes (2) attempts to stop using e-cigarettes during follow-up among current smokers, recent ex-smokers and long-term ex-smokers who use e-cigarettes.

Methods

UK online longitudinal survey of smokers, ex-smokers and e-cigarette users, May/June 2016 (baseline) and September 2017 (follow-up). In logistic regression models, motivation to stop using e-cigarettes at baseline (n = 994) and attempts to stop using e-cigarettes at follow-up (n = 416) among current smokers and ex-smokers were regressed onto baseline educational attainment, income, employment status while adjusting for baseline demographics, vaping status, smoking and e-cigarette dependence.

Results

(1) Respondents with higher education (OR = 1.36; 95% CI: 1.06-1.74) or higher income (OR = 1.52; 95% CI: 1.17-1.98) were more likely to be motivated to stop using e-cigarettes, but only in unadjusted analysis. (2) Again, in unadjusted analysis only, employment was associated with reduced odds of attempting to stop using e-cigarette (OR = 0.50; 95% CI: 0.32-0.79).

Conclusion

Higher socio-economic status may be associated with higher motivation to stop vaping but with lower likelihood of trying to do so.

Tobacco smoking, related harm and motivation to quit smoking in people with schizophrenia spectrum disorders

This narrative review focuses on the topic of tobacco smoking amongst people with schizophrenia spectrum disorders. We searched PubMed, PsycInfo and Scopus databases for schizophrenia spectrum disorders and smoking and included articles about the epidemiology of tobacco smoking in people with schizophrenia spectrum disorders, examining the relationship between smoking and mental health. This narrative review describes that a higher prevalence, frequency and impact of both high nicotine dependence and its harmful effects in patients with schizophrenia spectrum disorders compared with those in the general population. Despite several existent theories, the reasons for high smoking rates, the high dependence on nicotine and severity of nicotine withdrawal symptoms are not fully understood. The main aim of this paper is to inform mental health personnel and particularly clinical and health psychologists about the impact and role of tobacco smoking for smokers with schizophrenia spectrum disorders.

Predictors of Smoking Cessation Attempt and Continued Abstinence among Low-Income Disabled Smokers: Evidence from the French National Smoking Cessation Cohort CDT-Net

Background: In France, daily smoking has been highly prevalent among low-income smokers.Objectives: Our aim was to search for factors associated with both continued abstinence and attempting to quit among low-income disabled smokers. Methods: From the French national smoking cessation cohort CDT-net, we included 1624 adults living with disability pension or disabled adult allowance. Our dependent variables (abstainers, attempting to quit among non-abstainers) were used in logistic regressions. Continued abstinence was defined as self-reports of no smoking for more than 28 days and attempting to quit was defined as self-reports of no smoking for less than 28 days; both validated with carbon monoxide < 10 ppm. Results: The average age was 48.5 years, with a predominance of men (55.5%). Achieved continued abstinence was 29.9% and was positively associated with age ≥ 55, history of previous attempts, low-dependence, and number of consultations during follow-up (all p < .05). Depression history, anxiety symptoms and cannabis use were negatively associated with continued abstinence (p < .05). Quit attempts were associated with lower dependence and number of consultations during follow-up. Pharmacological treatments prescribed at inception did not contribute to improve continued abstinence rates but varenicline was found to increase quit attempts unless the number of prescriptions was scarce. Conclusion: Even among low-income disabled smokers, achieving continued abstinence and attempting to quit could be promoted with similar predictors than among affluent smokers. Treatment of anxiety symptoms and specific support for smokers with a depression history could be included in the follow-up of quit attempts.

Cigarette smoking among university students aged 18-24 years in New Zealand: results of the first (baseline) of two national surveys

OBJECTIVES

Although the smoking prevalence continues to decline in New Zealand (NZ) overall, little is known about smoking in university students. A 2013 survey of students aged 17-25 years found that 14% were current smokers, and 3% daily smokers. However, the sample did not include students from all NZ universities. This study examines the prevalence and patterns of cigarette smoking among students aged 18-24 years.

SETTING

University students across NZ.

METHODS

Data came from a March to May 2018 survey of students from all NZ universities, and were weighted to account for undersampling and oversampling, based on gender and university size. χ² tests were used to compare smoking by age, gender and ethnicity.

PARTICIPANTS

1476 participants were included: 919 (62.3%) aged 18-20 years and 557 (37.7%) aged 21-24 years; 569 (38.6%) male and 907 (61.4%) female; and 117 (7.9%) Māori and 1359 (92.1%) non-Māori.

RESULTS

49.8% (95% CI 47.2 to 52.4) of respondents reported ever smoking, 11.1% (95% CI 9.5 to 12.9) currently smoked (smoked at least once a month) and 5.9% (95% CI 4.8 to 7.3) smoked at least daily (daily smokers). Of current smokers, 63.6% smoked 1-5 cigarettes/day, 45.8% smoked daily, 73.4% smoked first cigarette >60 min after waking, 86.0% never/almost never smoked in indoor and 64.6% in outdoor smokefree spaces, 69.9% planned to quit and 32.4% had tried to quit. Ever, current and daily smoking were significantly higher in 21-24 compared with 18-20 years olds, and in males compared with females. Older participants were more likely to report smoking more cigarettes/day. Māori were more likely to report ever smoking than non-Māori.

CONCLUSIONS

Current smoking among NZ university students aged 18-24 years appears to be declining but daily smoking could be increasing. However, many students appeared less addicted to nicotine, and willing to quit. We recommend increasing the availability of smokefree services for students who wish to quit.

Dependence, plans to quit, quitting self-efficacy and past cessation behaviours among menthol and other flavoured cigarette users in Europe: The EUREST-PLUS ITC Europe Surveys

INTRODUCTION

This study characterises smoking and cessation-related behaviours among menthol and other flavoured cigarette users in Europe prior to the implementation of the European Tobacco Products Directive (TPD) ban on the sale of flavoured cigarettes.

METHODS

An analysis of cross-sectional data from the 2016 EUREST-PLUS ITC Europe Surveys was conducted among a sample of 10760 adult smokers from eight European Union Member States. Respondents were classified as menthol, other flavoured, unflavoured, or no usual flavour cigarette users and compared on smoking and cessation behaviours and characteristics. Data were analysed in SPSS Complex Samples Package using bivariate and multivariate regression analyses adjusted for sociodemographic characteristics, dependence, and country.

RESULTS

In bivariate analyses, cigarette flavour was significantly associated with all outcomes (p<0.001). After adjusting for sociodemographic characteristics, these associations attenuated but remained significant and in the same direction for dependence, self-efficacy, plans to quit, past quit attempts, and ever e-cigarette use. In fully adjusted models, compared to smokers of non-flavoured cigarettes, menthol smokers were less likely to smoke daily (AOR=0.47, 95% CI: 0.32-0.71), smoke within 30 min of waking (0.52,0.43-0.64), consider themselves addicted (0.74,0.59-0.94), and more likely to have ever used e-cigarettes (1.26,1.00-1.57); other flavoured cigarette smokers were less likely to smoke daily (0.33,0.15-0.77), and have higher self-efficacy (1.82,1.20-2.77); no usual flavour smokers were less likely to smoke daily (0.34,0.22-0.51), smoke within 30 min of waking (0.66,0.55-0.80), consider themselves addicted (0.65,0.52-0.78), have ever made a quit attempt (0.69,0.58-0.84), have ever used e-cigarettes (0.66,0.54-0.82), and had higher self-efficacy (1.46,1.19-1.80).

CONCLUSIONS

Smokers of different cigarette flavours in Europe differ on smoking and cessation characteristics. The lower dependence of menthol cigarette smokers could lead to greater success rates if quit attempts are made, however cross-country differences in smoking behaviours and quitting intentions could lead to the TPD ban on cigarette flavours having differential impact if not accompanied by additional measures, such as smoking cessation support.

Update on the approach to smoking in patients with respiratory diseases

Smoking is the leading cause of respiratory disease (RD). The harmful effects of smoking on the respiratory system begin in utero and influence immune responses throughout childhood and adult life. In comparison with “healthy” smokers, smokers with RD have peculiarities that can impede smoking cessation, such as a higher level of nicotine dependence; nicotine withdrawal; higher levels of exhaled carbon monoxide; low motivation and low self-efficacy; greater concern about weight gain; and a high prevalence of anxiety and depression. In addition, they require more intensive, prolonged treatment. It is always necessary to educate such individuals about the fact that quitting smoking is the only measure that will reduce the progression of RD and improve their quality of life, regardless of the duration and severity of the disease. Physicians should always offer smoking cessation treatment. Outpatient or inpatient smoking cessation treatment should be multidisciplinary, based on behavioral interventions and pharmacotherapy. It will thus be more effective and cost-effective, doubling the chances of success.

A text message delivered smoking cessation intervention: Design and rationale of the Text My Quit Study

INTRODUCTION

Smoking cessation interventions delivered through mobile technologies offer promise as an effective intervention tool. However, most existing programs have not been empirically tested, were not developed with end-user participation, and/or do not address evidence-based cognitive and behavioral variables shown to enhance smoking cessation in clinical trials. In addition, many programs tested in research trials have required users to access the internet and/or a smartphone app to access all program features, limiting the potential reach of those programs.

METHODS/DESIGN

This study is a randomized controlled trial testing the efficacy of the TMQ intervention for smoking cessation. All participants are randomly assigned to receive 12 weeks of either; (1) a tailored smoking-cessation intervention delivered 100% through text messaging (TMQ), or (2) non-smoking-related text messages serving as a control for contact and subject burden (Mojo). Assessments are conducted at baseline, 3- and 6-month follow-up. The primary outcome is prolonged abstinence using an intent-to-treat approach. To understand why TMQ may be more effective than Mojo, we will test several posited mechanisms of action (i.e., mediators) that may underlie intervention efficacy and will examine use of the TMQ integrated social support (ISS) network. At the end of treatment, semi-structured interviews will be conducted with TMQ participants.

CONCLUSIONS

This study will provide a rigorous test of an innovative smoking cessation program delivered 100% through text messages. Use of mixed methodologies will provide the opportunity to enhance our understanding of the user's experience with TMQ and identify areas for future enhancement and/or expansion.

Cigarette smoking quit ratios among adults in the USA with cannabis use and cannabis use disorders, 2002-2016

BACKGROUND

The prevalence of cigarette smoking is nearly three times higher among persons who use cannabis and have cannabis use disorders (CUDs), relative to those who do not. The current study examined cigarette quit ratios from 2002 to 2016 among US adults with and without cannabis use and CUDs.

METHODS

The current study analysed US adults aged 18 years and older from the National Survey on Drug Use and Health, an annual cross-sectional study. Quit ratios (ie, proportion of former smokers among ever-smokers) were calculated annually from 2002 to 2016. Time trends in quit ratios by cannabis use/CUDs were tested using logistic regression.

RESULTS

In 2016, the quit ratios for people with any cannabis use (23%) and CUDs (15%) were less than half the quit ratios of those without cannabis use and CUDs (51% and 48%, respectively). After controlling for demographics and substance use disorders, the quit ratio did not change from 2002 to 2016 among persons with CUD, though it non-linearly increased among persons with cannabis use, without cannabis use and without CUDs. Quit ratios increased more rapidly among those who reported past-month cannabis use compared with those without past-month cannabis use.

CONCLUSIONS

Cigarette smoking quit ratios remain dramatically lower among people who use cannabis and have CUDs and quit ratios did not change significantly from 2002 to 2016 among those with CUDs. Public health and clinical attention are needed to increase quit ratios and reduce harmful cigarette smoking consequences for persons with cannabis use and CUDs.

Is There an Association Between the Degree of Nicotine Dependence and the Motivation to Stop Smoking?

OBJECTIVE

To evaluate the association between degrees of nicotine dependence measured by the Fagerström test (FTCD) and different tests of motivation to stop smoking.

MATERIAL AND METHODS

Observational study, multicenter conducted in smoking clinics in daily clinical practice. Demographics, smoking status, FTCD scores, and motivation test results were collected: Richmond test (TR), Henri Mondor Paris motivation test (HMP), Khimji-Watts test (KW), and the visual analog scale of motivation to stop smoking. The statistical analysis was descriptive, and correlation and analysis tests and regression models were used.

RESULTS

A total of 314 subjects were included [162 women (51.59%)]. Males smoked an average of 3.3 cigarettes/day more than women (95% CI: 0.9-5.6 cigarettes/day, p=0.006) and their cumulative consumption was 7.8 pack-years higher than in women (95% CI: 2.1 to 13.5 pack-years). We found no association between FTCD and the motivation tests to stop smoking used in this study.

CONCLUSIONS

We found no association between the degree of dependence and the motivation to quit smoking measured by the aforementioned instruments.

Self-perceived ability to cope with stress and depressive mood without smoking predicts successful smoking cessation 12 months later in a quitline setting: a secondary analysis of a randomized trial

Background

Telephone-based smoking cessation services (‘quitlines’) are both effective and cost-effective. Knowledge of modifiable baseline factors in real-life settings with heterogeneous participants is essential for the development and improvement of treatment protocols to assist in telephone-based smoking cessation. The aim was to assess if self-perceived abilities to cope measured at baseline, would predict abstinence at the 12-month follow-up at the Swedish National Tobacco Quitline (SNTQ).

Methods

The data were retrieved from a previous randomized controlled trial comparing the effectiveness of proactive and reactive service at the SNTQ. Included were 612 clients calling the SNTQ between February 2009 and September 2010. Outcome measures were self-reported point prevalence and 6-month continuous abstinence at the 12-month follow-up. Plausible predictors of smoking cessation were assessed at the first call and in a baseline questionnaire. Self-perceived abilities at baseline were measured by two questions: (1) How likely is it that you will be smoke-free in one year? and (2) How likely are you to be able to handle stress and depressive mood without smoking? The associations between potential predictors and outcome (smoke-free at 12-month follow-up) were assessed by logistic regression analysis.

Results

Of the two potential predictors for abstinence at 12-month follow-up, only the perceived ability to handle stress and depressive mood without smoking remained significant in the adjusted analyses (Odds Ratio, OR 1.13, 95% CI 1.00–1.27 for point prevalence and OR 1.16, 95% CI 1.01–1.33 for 6-month continuous abstinence according to intention-to-treat). The overall strongest predictor in the adjusted analyses was smoking status in the week before baseline (OR 3.30, 95% CI 1.79–6.09 for point prevalence and OR 3.97, 95% CI 2.01–7.83 for 6-month continuous abstinence).

Conclusions

The perceived ability to handle stress and depressive mood without smoking at baseline predicted the subjects’ abstinence at the 12-month follow-up. An assessment of/adjustment for stress and depressive mood coping skills may be appropriate in future smoking cessation treatment and research. The treatment protocol can be tailored to individual differences and needs for optimal support.

Trial registration

ClinicalTrials.gov: NCT02085616. Registered March 10, 2014, ‘retrospectively registered’.

Impact of Referral Sources and Waiting Times on the Failure to Quit Smoking: One-Year Follow-Up of an Italian Cohort Admitted to a Smoking Cessation Service

In Italy, the National Health Service offers specialized evidence-based support to smokers who would like to quit through smoking cessation (SC) services. We conducted a two-year prospective study, involving all 288 subjects treated for smoking cessation at the SC service of Reggio Emilia, to assess the association of referral sources and waiting times with the risk of treatment failure, by following participants up to one year after the quit date. We performed Cox-regression analysis, including demographic and smoking-related characteristics as confounding variables. The treatment failure rate at 12 months was 59.4% (171/288), including only 12 subjects lost to follow-up. The main mode of entry was self-referral (42.4%), followed by 32.6% from general practice, 17.4% from hospital and 7.6% from other sources. Only 27.8% participants were involved in the SC-program within 60 days of the first contact, as the guidelines suggest. The risk of treatment failure at 12 months showed little association with the type of referral source, while it correlated with waiting times ≥ 60 days (hazard ratio = 1.59; 95% confidence interval 1.10⁻2.29). This study provides evidence of long-term high quit rates from a SC service, with few subjects lost to follow-up and biochemical verification of almost all abstinent subjects. Timeliness in care provision could further improve the outcome.

Video-assisted topographical measurement of cigarette smoking: Exploration of an objective approach to evaluate nicotine dependence

INTRODUCTION

Addressing nicotine dependence is key to effective smoking cessation. While self-report measures of nicotine dependence are often challenged for their reliability and validity, there is a lack of non-invasive and inexpensive objective measures of nicotine dependence. In this study, we aimed to explore the potential of using video-assisted smoking topography to derive objective measures indicative of nicotine dependence with the guidance of nicotine-receptor-based self-titration theory.

METHODS

Videotaped topography data were collected for one episode of smoking a whole cigarette the first time of the day from 10 cigarette smokers with diverse racial backgrounds (4 males and 6 females, mean age = 27 years, SD = 7.2). Temporal patterns of individual topographic measures (i.e. puff interval, puff speed, puff duration, inhalation duration, and rest duration) were measured and plotted against time. Levels of nicotine dependence were evaluated using three standard scales, including the 14-item DSM-IV scale, the 6-item ICD-10 scale, and the 6-item Fagerström Test of Nicotine Dependence. Both linear and non-linear fold catastrophe dynamic models were used to fit the data.

RESULTS

Compared with a linear model (R² from 0.003 to 0.74), the non-linear model more adequately captured the temporal pattern of topographic measures (R² from 0.11 to 0.99), especially puff speed. The indicators derived from the fitted fold catastrophe curve (e.g. average puff speed) were significantly associated with nicotine dependence scores, especially DSM-IV scale scores (r from 0.64 to 0.93).

CONCLUSIONS

Study findings suggest the potential to objectively and non-invasively measure nicotine dependence using video-assisted smoking topography.

How can we help African American substance users stop smoking? client and agency perspectives

Research is needed to better understand barriers to smoking cessation and sustained abstinence among racial/ethnic minority polydrug users. We conducted community dialogue groups involving 49 clients in substance use treatment programs with predominantly ethnic minority clientele and individual dialogues/interviews with seven program providers (stakeholders). Most clients were African American, under 40 years old, women, current smokers, and high school graduates. Smoking cessation services in these programs were considered inadequate and community programs insufficiently culturally tailored and economically and geographically inaccessible. Participants discussed individual "willpower" and choice; agency tobacco-related programs and policies; the relationships between smoking, smoking cessation, and treatment goals; and steps needed to reshape agency services and policies to provide greater support for smoking cessation in this at-risk population.

A retrospective analysis of the comparative effectiveness of smoking cessation medication among individuals with mental illness in community-based mental health and addictions treatment settings

WHAT IS KNOWN ON THE SUBJECT?: Persons with different mental illnesses smoke for reasons based on their particular diagnosis. As compared to those without, persons with mental illnesses are less able to quit smoking when using smoking cessation medications. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: This paper shows that there may be differences in the ability to quit smoking between persons with different mental illness diagnoses. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Clinicians should be aware that persons with anxiety disorders may find it more difficult to quit smoking as compared to those with other mental illnesses. Clinicians should be aware that of all medications, varenicline seems to help those with mood disorders to quit the best. Clinicians should be aware that persons with psychotic disorders likely need longer treatment durations for smoking cessation as compared to persons with other mental illnesses.

ABSTRACT

Introduction Individuals with mental illnesses (MI) have diagnosis-specific reasons for smoking and achieve low smoking cessation when using cessation medications. Aim To assess differences in smoking cessation outcomes by MI diagnosis and cessation medications in outpatient mental health and addictions treatment settings in Vancouver, Canada. Method This is a retrospective analysis of tobacco treatment outcomes from 539 participants. The programme consists of cessation pharmacotherapy with 8 to 12 weeks of behavioural counselling and 12 weeks of support group. Smoking cessation was verified by expired carbon monoxide levels. Generalized estimating equations models assessed differences in cessation by type of medication in both total and stratified samples. Results There were no significant differences in cessation by pharmacotherapy in the total sample. Individuals with a mood disorder were two times more likely to achieve cessation as compared to those with an anxiety disorder. Among individuals with mood disorders, receiving varenicline alone resulted in three times the likelihood of cessation as compared to receiving single NRT. Discussion The differences in outcomes by MI diagnosis suggest the need for more diagnosis-specific approaches to optimize cessation. Implications for Practice Compared with other diagnoses, persons with anxiety disorders may have a greater challenge quitting and those with a psychotic disorder may require longer treatment durations.

Cigarette dependence and depressive symptoms as predictors of smoking status at five-year follow-up after a workplace smoking cessation program

Workplace smoking cessation interventions increase quit rates compared to no treatment or minimal interventions. However, most studies report data up to one year. This study aims to evaluate long-term effects of a worksite smoking cessation intervention based on cognitive behavioral cessation groups combined with first-line medications, and determine to what extent cigarette dependence (FTCD) and depressive symptoms may influence results at five-year follow-up. Participants were invited to answer a short survey five years after starting the program. A total of 90.4% (n=227) of those who had attended at least one treatment session and were alive, completed the survey. At the five-year follow-up, 29.5% participants reported continuous abstinence. Low scores in the FTCD and low depressive symptoms at baseline predicted continuous abstinence. Three out of four continuous abstainers at twelve months remained abstinent at the five-year follow-up. The study shows that workplace smoking cessation interventions have long-term effects and supports the traditional one-year follow-up period to assess smoking cessation.

Premenstrual symptoms and factors implicated in smoking cessation among woman smokers

Premenstrual symptoms (PMS) may reduce smoking cessation success. Yet, little is known about the factors that may impact smoking cessation among women with elevated PMS, leaving little data to guide smoking cessation science and practice for this population. This cross-sectional study is a secondary analysis of data from laboratory studies focused on menstrual cycle effects and smoking. Premenopausal woman daily smokers (n = 157) completed self-report measures of tobacco dependence and other cessation-relevant factors (i.e., smoking cessation history, withdrawal during previous quit attempts, use of smoking cessation aids) as well as a measure assessing 3 domains of PMS-affective, water retention, and pain. After controlling for depression and race, affective PMS were associated with greater daytime tobacco dependence, withdrawal symptoms during most recent quit attempt, and number of smoking cessation aids used in past quit attempts (βs = .19-.28, ps < .05). Additionally, affective PMS were associated with increased odds of having used e-cigarettes during past quit attempts (odds ratio = 1.54, 95% confidence interval [1.06, 2.24]) after adjusting for depression and race. These results across different domains of PMS suggest that affective PMS may play a particularly important role in smoking cessation. Women with elevated affective PMS may be more inclined to try cessation aids and require special clinical attention to controlling tobacco withdrawal during quit attempts to increase success. (PsycINFO Database Record

Tobacco use and motivation to stop smoking among long-term smokers who are ineligible for lung cancer screening

BACKGROUND

The importance of smoking cessation interventions in lung cancer screening participants has been highlighted. This study aimed to describe the smoking habits of individuals who were ineligible for lung cancer screening and to investigate whether this encounter may represent an opportunity to reduce tobacco use.

METHODS

Ever smokers between the ages of 55 and 80 and ≥1.5% lung cancer risk over 6 years or having smoked ≥30 pack-years and with no more than 15 years of smoking abstinence were eligible to participate in the Alberta Lung Cancer Screening Program (ALCSP). A baseline questionnaire exploring tobacco use was administered to all interested individuals as part of the eligibility determination for the program.

RESULTS

Among 504 individuals, 254 (50.4%) met the criteria for the ALCSP and 250 (49.6%) were non-eligible for screening. Non-eligible individuals were slightly younger (mean=60.2 vs. 63.1 years, p-value <0.001), and less likely to be current smokers (26.0% vs. 48.8%, p-value <0.001). Non-eligible smokers had a lower degree of addiction compared to eligible group, as measured by the Fagerström Test of Nicotine Dependence (Median=4.0 vs 6.0, p-value=0.001), but still in the "moderately dependent" range for this test. There were no significant differences in motivation to quit (98.5% vs. 97.6%, p-value=0.689), or motivation to receive help with their quit attempt (89.2% vs. 90.3%, p-value=0.813) between these two groups. Only 7.7% of non-eligible and 2.4% of eligible current smokers were currently in a smoking cessation program.

CONCLUSION

A significant proportion of individuals applying to, but not qualifying for a lung cancer screening program are active smokers with significant nicotine dependence. Very few are currently participating in active smoking cessation programs but almost all are interested in quitting and in receiving help with quit attempts. Future studies need to investigate the most effective approaches for smoking cessation in this substantial group of older, long-term smokers, capitalizing on their motivation to receive cessation assistance.