Enjoyment of smoking and urges to smoke as predictors of attempts and success of attempts to stop smoking: a longitudinal study

Effects of mint, menthol, and tobacco-flavored e-cigarettes on tobacco withdrawal symptoms in adults who smoke menthol cigarettes: A laboratory pilot study

BACKGROUND

Menthol cigarette smoking has remained stable or increased in certain groups, despite an overall decline in cigarette smoking rates in the U.S. Understanding whether e-cigarettes alter patterns of menthol cigarette use is critical to informing efforts for reducing the public health burden of menthol cigarette smoking. This 2019-2020 laboratory pilot study evaluated whether self-administration of mint-, menthol-, or tobacco-flavored e-cigarettes would differentially impact tobacco withdrawal symptoms in e-cigarette-naïve adults who smoke menthol cigarettes daily.

METHODS

Participants (N=17; 35.3% Female; mean age=51.8) attended three laboratory sessions after 16-hours of tobacco abstinence. Participants self-administered a study-provided JUUL e-cigarette (0.7mL with 5% nicotine by weight) at each session in which flavor was manipulated (mint vs. menthol vs. tobacco; order randomized). Participants completed pre- and post-e-cigarette administration self-report assessments on smoking urges, nicotine withdrawal, and positive and negative affect states. Multilevel linear regression models tested differences between the three flavor conditions for individual study outcomes.

RESULTS

Following overnight tobacco abstinence, vaping either a mint or menthol (vs. tobacco) flavored e-cigarette led to significantly greater reductions in smoking urges over time; menthol (vs. tobacco) flavored e-cigarettes also suppressed urges to smoke for pleasure. Notably, no differences in nicotine withdrawal, positive affect, or negative affect were observed.

CONCLUSIONS

In this laboratory pilot study, mint and menthol (vs. tobacco) flavored e-cigarettes provided some negative reinforcement effects via acute reductions in smoking urges during tobacco abstinence, yet only menthol flavored e-cigarettes demonstrated suppressive effects on smoking urges for pleasure in adults who smoke menthol cigarettes daily.

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).

Perceived Stress and Smoking Cessation: The Role of Smoking Urges

Despite the fact that perceived stress is related to abstinence smoking outcomes, no studies have investigated the mediational effect of specific tobacco-related variables on this relationship. This study aimed to explore the indirect effect of perceived stress on abstinence at the end of treatment through smoking urges. The sample comprised 260 treatment-seeking smokers (58.5% female; Mage = 46.00; SD = 11.1) who underwent psychological smoking cessation treatment. The brief version of the Questionnaire of Smoking Urges (QSU) and the Perceived Stress Scale (PSS14) were used. Mediation analyses were conducted in which smoking urges and their dimensions were potential mediators in the relationship between perceived stress and abstinence at the end of treatment. The results showed a non-significant direct effect of perceived stress on abstinence. However, a significant indirect effect was found through smoking urges (QSU-total) and, specifically, through smoking urges associated with the expectation of negative affect relief (QSU-Factor 2). A non-significant indirect effect through smoking urges related to the expectation of tobacco use as a pleasurable experience (QSU-Factor 1) was also found. Analyzing possible mediator variables could contribute to understanding previous conflicting data. These findings point to potential interest in including treatment components targeting perceived stress and smoking urges to improve the effectiveness of smoking cessation treatments.

E-cigarettes to Augment Stop Smoking In-person Support and Treatment With Varenicline (E-ASSIST): A Pragmatic Randomized Controlled Trial

AIM

To examine whether, in adults receiving behavioral support, offering e-cigarettes together with varenicline helps more people stop smoking cigarettes than varenicline alone.

METHODS

A two-group, parallel arm, pragmatic randomized controlled trial was conducted in six English stop smoking services from 2019-2020. Adults enrolled onto a 12-week programme of in-person one-to-one behavioral smoking cessation support (N  =  92) were randomized to receive either (1) a nicotine e-cigarette starter kit alongside varenicline or (2) varenicline alone. The primary outcome was biochemically verified abstinence from cigarette smoking between weeks 9-to-12 post quit date, with those lost to follow-up considered not abstinent. The trial was stopped early due to COVID-19 restrictions and a varenicline recall (92/1266 participants used).

RESULTS

Nine-to-12-week smoking abstinence rates were 47.9% (23/48) in the e-cigarette-varenicline group compared with 31.8% (14/44) in the varenicline-only group, a 51% increase in abstinence among those offered e-cigarettes; however, the confidence interval (CI) was wide, including the possibility of no difference (risk ratio [RR] = 1.51, 95% CI = 0.91-2.64). The e-cigarette-varenicline group had 43% lower hazards of relapse from continuous abstinence than the varenicline-only group (hazards ratio [HR] = 0.57, 95% CI =  0.34-0.96). Attendance for 12 weeks was higher in the e-cigarette-varenicline than varenicline-only group (54.2% vs. 36.4%; RR = 1.49, 95% CI = 0.95-2.47), but similar proportions of participants in both groups used varenicline daily for ≥8 weeks after quitting (22.9% versus 22.7%; RR = 1.01, 95% CI = 0.47-2.20). Estimates were too imprecise to determine how adverse events differed by group.

CONCLUSION

Tentative evidence suggests that offering e-cigarettes alongside varenicline to people receiving behavioral support may be more effective for smoking cessation than varenicline alone.

IMPLICATIONS

Offering e-cigarettes to people quitting smoking with varenicline may help them remain abstinent from cigarettes, but the evidence is tentative because our sample size was smaller than planned-caused by Coronavirus Disease 2019 (COVID-19) restrictions and a manufacturing recall. This meant our effect estimates were imprecise, and additional evidence is needed to confirm that providing e-cigarettes and varenicline together helps more people remain abstinent than varenicline alone.

Motivators of impulsivity to smoke waterpipe tobacco among Nigerian youth who smoke waterpipe tobacco: the moderating role of social media normalisation of waterpipe tobacco

BACKGROUND

Impulsivity is a formidable cause of waterpipe tobacco smoking among youth, however, it is understudied among African youth. Using PRIME behavioural theory, this study aimed to develop a model that examines the motivators of impulsivity to smoke waterpipe tobacco in linkage to the moderating role of social media normalisation of waterpipe tobacco, specifically among youth in Nigeria who smoke waterpipe tobacco.

METHODS

Data were drawn from 695 respondents who smoke waterpipe tobacco across six Nigerian universities in the South-West zone using the chain-referral sampling procedure. Descriptive analyses of the obtained data were carried out using the Statistical Package for Social Sciences (SPSS) version 25. The constructs in the developed model were validated through Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS version 3.

RESULTS

Among Nigerian youth who smoke waterpipe tobacco, intention (β = 0.442, P < 0.001) was the strongest motivator of impulsivity to smoke waterpipe tobacco as compared to positive evaluations (β = 0.302, P < 0.001). In addition, social media normalisation of waterpipe tobacco acted as a moderator that strengthened the relationship between intention and impulsivity (β = 0.287, P < 0.01), as well as, between positive evaluations and impulsivity (β = 0.186, P < 0.01) among youth.

CONCLUSION

Intention greatly instigates Nigerian youth's impulsivity to smoke waterpipe tobacco, and social media normalisation of waterpipe tobacco also considerably increases their impulsivity to smoke waterpipe tobacco. Youth-focused educational waterpipe tobacco cessation-oriented programmes that utilise diverse constructive-based learning approaches like illustrative learning and counselling, can help to enlighten and encourage Nigerian youth on the importance of shunning the desirability to smoke waterpipe tobacco.

Associations between smoking to relieve stress, motivation to stop and quit attempts across the social spectrum: A population survey in England

Smoking prevalence in several high-income countries is steadily declining but remains persistently high in 'lower' socioeconomic position (SEP) groups, contributing to inequities in morbidity and mortality. Smoking to relieve stress is a commonly endorsed motive for continued smoking; however, it remains unclear whether smoking to relieve stress has a negative impact on motivation to stop and future quit attempts and if so, whether associations are moderated by SEP. This was an observational study with cross-sectional and prospective survey data from the nationally representative Smoking Toolkit Study in England. A total of 1,135 adult smokers were surveyed at baseline, with 153 (13.5%) respondents followed up at 12 months. Respondents provided information on demographic, social and smoking characteristics. A series of multivariable logistic regression analyses was conducted. Bayes Factors (BFs) were calculated to explore non-significant associations. Smoking to relieve stress was commonly endorsed by respondents from both 'lower' (43.2% [95% CI = 39.4%, 47.0%]) and 'higher' (40.5% [95% CI = 35.9%, 45.1%]) SEP groups (p = 0.39). Smoking to relieve stress was associated with high motivation to stop at baseline (ORadj = 1.48, 95% CI = 1.03-2.12, p = 0.035) but not significantly with the odds of making a quit attempt at a 12-month follow-up, although the magnitude and direction of the effect was similar to that observed for high motivation to stop (ORadj = 1.49, 95% CI = 0.69-3.20, p = 0.3). Data were insensitive to detect moderation effects of SEP (BF = 0.90 and BF = 1.65, respectively). Smoking to relieve stress is a commonly endorsed motive and is associated with high motivation to stop but not significantly with the odds of making a quit attempt in the next 12 months, although the magnitude and direction of the effect was similar for both outcomes. There was no clear evidence of moderation by SEP, although data were insensitive to distinguish the alternative from the null hypothesis.

What factors are associated with waterpipe smoking cessation? A secondary data analysis

INTRODUCTION

Waterpipe smoking is gaining popularity and becoming a major global public health concern. An understanding of factors that predict waterpipe smoking cessation is necessary for targeting tobacco control efforts.

METHODS

This is a secondary data analysis of a randomised controlled-trial comparing the efficacy of varenicline against placebo in helping waterpipe smokers to quit. A total of 510 adult daily waterpipe smokers were recruited to the trial in 2016. Logistic regression models were applied to assess factors (i.e., demographic, environmental, behavioural, and physiological) associated with primary outcome (waterpipe smoking cessation) and secondary outcomes (waterpipe cessation alongside abstinence from cigarette and short-term and long-term waterpipe smoking cessation). Cessation was defined as 7-day point prevalence abstinence from smoking reported at 5,12, and/or 25 weeks follow ups.

RESULTS

Over a period of six months, 189 (39.2%) participants abstained from waterpipe smoking for at least one week. Being male (adjusted odds ratio (aOR):2.99 (95%CI:1.47-6.08)), dual smoker (waterpipe and cigarettes) (aOR:2.98 (95%CI:1.87-4.74)), more withdrawal symptoms measured by the Mood and Physical Symptoms Scale (aOR:1.08 (95%CI:1.02-1.13)), less nicotine dependency measured by Lebanon Waterpipe Dependency Scale (aOR:0.90 (95%CI:0.85-0.96)), having history of quit attempt (aOR:2.14 (95%CI:1.16-3.96)), smoking restriction in the house (aOR:2.69 (95%CI:1.01-7.14)), and not sharing waterpipe with others (aOR:2.72 (95%CI:1.31-5.66)) predicted waterpipe smoking cessation.

CONCLUSIONS

In addition to nicotine dependency, social factors such as home restrictions on smoking, and not sharing waterpipe were identified as predictors of waterpipe smoking cessation. To help waterpipe smokers quit, social environment may be just as or even more important than well-known physical and psychological factors.

IMPLICATIONS

A range of factors, predominantly social factors play a significant role in facilitating or deterring waterpipe smokers from quitting smoking. Our findings suggest that interventions that focus on social as well as physical/psychological factors may encourage waterpipe smokers in achieving abstinence.

Moderators of the association between regular smoking exposure and motivation and attempts to quit: a repeat cross-sectional study

AIMS

To estimate the associations between regular exposure to smoking by other people and motivation and attempts to quit among current smokers. To examine whether socio-demographic and other factors moderate these associations.

DESIGN

A repeat nationally representative cross-sectional survey. Data were collected monthly between November 2014 and February 2019.

SETTING

England.

PARTICIPANTS

Current smokers ≥16 years of age from the Smoking Toolkit Study (n = 15 136).

MEASUREMENTS

Participants were asked whether other people regularly smoke in their presence, how motivated they were to quit and whether they had made a quit attempt in the past year. Moderators assessed were occupation-based social grade, housing tenure, urges to smoke, high-risk alcohol consumption, and disability. Adjusted analyses included moderators, socio-demographic (age/sex/ethnicity/sexual orientation/marital status/children in household) and seasonal (quarter/year) confounders.

FINDINGS

Current smokers who were regularly exposed to other people smoking in their presence were less likely to be highly motivated to quit (OR = 0.88 [95% CI 0.80-0.97]), but were no less likely to have made a quit attempt in the past year (OR 1.04 [0.97-1.13], Bayes Factor (BF) = 0.05). The inverse relationship between regular smoking exposure and motivation to quit was moderated by urges to smoke, such that exposure was only associated with a reduction in motivation among those without strong urges to smoke (OR 0.83 [0.75-0.93] versus OR 1.04 [0.86-1.26]; P = 0.048). None of the other factors significantly moderated the association with motivation to quit, and none moderated the relationship between regular smoking exposure and quit attempts. All non-significant interactions, except social grade (BF = 1.44) with quit attempts, had Bayes Factors that supported the hypothesis of no moderation (BF range: 0.12-0.21).

CONCLUSIONS

Among current smokers in England, regular exposure to other smokers appears to be associated with lower motivation to quit in people without strong urges to smoke, yet there appears to be no association with quit attempts in the previous year. Social grade, housing tenure, high-risk alcohol consumption and disability do not moderate these associations.

Who would be targeted by increasing the legal age of sale of cigarettes from 18 to 21? A cross-sectional study exploring the number and characteristics of smokers in England

AIMS

To establish the number of smokers in England who would be targeted by increasing the age of sale of cigarettes from 18 to 21 years and to assess the smoking and socio-demographic profile of those smokers.

DESIGN AND SETTING

Nationally representative cross-sectional survey of adults in England conducted between January 2009 and July 2019.

PARTICIPANTS

A total of 219 720 adults.

MEASUREMENTS

All participants reported their current smoking status and socio-demographic characteristics (i.e. age, gender, home ownership, social grade and ethnicity). Smokers reported motivation to quit, urges to smoke and the Heaviness of Smoking Index (HIS). Weighted prevalence statistics were calculated. Multinomial regression and logistic regression were used to assess differences in smoking characteristics among smokers and socio-demographic characteristics relative to non-smokers.

FINDINGS

The prevalence of smoking between January 2009 and July 2019 was highest among those aged 21-30. In 2019, 15.6% [95% confidence interval (CI) = 12.8-18.8%] of 18-20-year-olds reported smoking, which is estimated to represent 364 000 individuals in England. Relative to smokers aged 18-20, older smokers (aged 21+) had a higher motivation to quit smoking [odds ratios (ORs) = 1.40-1.45 range] and higher nicotine dependency as measured by urges to smoke (ORs = 1.06-1.24 range) and HSI (ORs = 1.05-2.85 range). Compared with non-smokers aged 18-20, smokers in this age group had lower odds of being female (OR = 0.89) and higher odds of being of white ethnicity (OR = 2.78) and from social grades C1-E (lower social grades) compared with AB (higher social grades) (OR = 1.19-1.83 range).

CONCLUSION

Increasing the age of sale of cigarettes to 21 years in England would currently target approximately 364 000 lower dependent smokers from more disadvantaged backgrounds aged 18-20, who have less motivation to quit.

Evaluation of long-term quitters: who stays smoke free forever?

BACKGROUND

Smoking cessation is one of the most powerful health promotion tools in the Western world. Behavioral group therapies are regarded as very promising interventions in this field. Quitting rates are usually evaluated after 6-12 months and lie between 30 and 45%. So far, there are no scientific data on potential protective indicators to remain successfully smoke free after this period. Therefore, the aim of this study was to detect the current smoking status of former participants of a cessation service in an urban German surrounding. We investigated reasons for relapses, quitting strategies, and psychosocial parameters.

METHODS

In 2019, 130 former patients (2011-2017; mean age 54 years; 37 pack/years; Fagerstroem = 5.75; 58.5% male, 41.5% female; 66% physical comorbidities; 35% psychiatric diagnoses) were invited to participate in a mailed survey (including WHO 5, SF 12, self-efficacy scale) and were asked about their current smoking status, personal history of smoking, and individual experiences with stopping after the 1‑year abstinence date.

RESULTS

A total of 53 persons replied (RR 41%), 29 (54%) of whom are currently smoke free; 24 relapsed intermittently or permanently, 9 experimented with e‑cigarettes, and 2 became dual users. Daily hassles as well as physical and mental challenges were the main reasons for relapsing.

CONCLUSION

Due to the low response rate, conclusions are limited; however, the 1‑year abstinence rate might not be as reliable as thought so far; long-term "sober" nicotine addicts remain at risk of relapse.

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.

What kind of smoking identity following quitting would elevate smokers relapse risk?

BACKGROUND

Research has suggested that smokers who quit smoking and continue to identify themselves as a smoker versus a non-smoker are at greater risk of relapse. This study examines the relationship between post-quit smoker identities and relapse risk of former smokers in Australia and the UK comparing those who still identified as a smoker with firm choice to no longer smoke versus those not expressing a firm choice. Cross-country differences were examined.

METHODS

Data analysed came from 544 former smokers (quit 1 month or more) who participated in the Australian and UK Waves 9 (2013) and 10 (2014) of the International Tobacco Control (ITC) surveys. Post-quit smoker identities were assessed at baseline and smoking relapse at follow-up.

RESULTS

Baseline self-reported smoker identity independently predicted smoking relapse at 12-month follow-up (p < .01). Compared with the subgroup who identified themselves as smokers trying to quit, those who identified themselves as smokers who had chosen to no longer smoke (OR = 0.01, 95% CI = 0.01-0.25, p < .001), ex-smokers (OR = 0.05, CI = 0.01-0.25, p < .001) or non-smokers (OR = 0.07, CI = 0.02-0.37, p < .001) were less likely to relapse at follow-up. No cross-country differences were found.

CONCLUSIONS

Following quitting, smokers who maintained a smoker identity with a firm choice to no longer smoke or adopted a non-smoker or ex-smoker identity were less likely to relapse than those who failed to do so, suggesting that a clear rule/commitment to not smoke and/or a shift to a non-smoking identity may be protective of relapse.

Understanding the Association Between Spontaneous Quit Attempts and Improved Smoking Cessation Success Rates: A Population Survey in England With 6-Month Follow-up

INTRODUCTION

Almost half of smoking quit attempts are "spontaneous" (initiated as soon as the decision to quit has been made) and are associated with increased success rates. This study aimed to assess to what extent other factors may account for this association.

METHODS

Data were used from respondents to a survey representative of the adult population in England from 2006 to 2016. We included 2018 respondents who were current smokers at baseline and had attempted to quit between baseline and 6-month follow-up. Logistic regression models assessed the association between quit success and spontaneous quit attempts while adjusting for smoking, sociodemographic, and quit attempt characteristics.

RESULTS

Spontaneous quit attempts were associated with greater odds of quit success (OR = 1.31, 95% CI = 1.07 to 1.60) but the association was not significant in the fully adjusted model (ORadj = 1.19, 95% CI = 0.95 to 1.49). In this adjusted model, those who attempted to quit without cutting down first (ORadj = 3.08, 95% CI = 2.46 to 3.88) and were male (ORadj = 1.44, 95% CI = 1.16 to 1.80) had greater odds of success; although a greater number of attempts in the past 6 months, stronger urges to smoke (strong vs. none), higher daily cigarette consumption, and lower social grade (E vs. AB) were associated with lower odds of success (ORadj range = 0.32-0.98, p < .030). Quit attempts made without cutting down first were correlated with spontaneous quit attempts (r = .150, p < .001) and appeared to account for the diminished association between spontaneous quitting and success (ORadj = 1.18, 95% CI = 0.96 to 1.46).

CONCLUSIONS

The increased success rate of spontaneous quit attempts appears to be because spontaneous quit attempts are more likely to be made without cutting down first.

IMPLICATIONS

The apparent benefit of spontaneous over planned quit attempts may be attributable to the former being more likely to involve quitting without cutting down first (ie, abrupt cessation) than cutting down first (ie, gradual cessation) and so this may be a more useful target for advice to improve the chances of successful quitting.

Very Low Nicotine Content Cigarettes Disrupt the Feedback Loop of Affective States and Smoking Behavior

INTRODUCTION

Smoking to reduce negative affect has been identified as a key motivational feature of tobacco use. Our recent work suggests that smoking very low nicotine content (VLNC) cigarettes reduces the relationship between negative affect and smoking behavior over a 6-week period. Here, we sought to extend our findings by evaluating whether a gradual or immediate approach to switching to VLNC cigarettes led to a differential reduction in the relationship between affect and smoking behavior over a longer (20-week) period.

AIMS AND METHODS

Participants (n = 1250) were adult smokers from 10 US sites randomized to one of three groups: gradual nicotine reduction (15.5, 11.7, 5.2, 2.4, and 0.4 mg of nicotine per gram of tobacco [mg/g]), immediate nicotine reduction (0.4 mg/g), or standard nicotine content cigarettes (15.5 mg/g; control), for 20 weeks. We examined whether the relationship between affect-both negative and positive-and cigarettes per day differed as a function of reduction group.

RESULTS

We found that both negative and positive affect were associated with cigarette consumption in the control group, but not in the gradual or immediate reduction groups across the 20 weeks of exposure.

CONCLUSIONS

Our results extend previous findings that switching to VLNC cigarettes disrupts the relationship between affect and cigarette consumption by showing that either gradually or immediately reducing cigarette nicotine content achieves this disruption. These findings provide further evidence that switching to VLNC cigarettes reduces nicotine-related reinforcement of cigarette smoking.

IMPLICATIONS

These findings support the notion that switching to very low nicotine content cigarettes reduces the association between affect and smoking behavior, and that either a gradual or immediate nicotine reduction approach achieves this reduction. This provides further evidence that switching to very low nicotine content cigarettes weakens reinforcement mechanisms associated with nicotine dependence.

Associations between dual use of e-cigarettes and smoking cessation: A prospective study of smokers in England

BACKGROUND

It has been claimed that use of e-cigarettes in combination with cigarettes outside of a quit attempt ('dual use') reduces quitting among smokers. This study aimed to assess whether dual e-cigarette users have lower smoking cessation rates than (i) exclusive cigarette smokers or (ii) dual users of nicotine replacement therapy (NRT) and cigarettes.

METHODS

Prospective cohort study of 1,498 smokers in England. The independent variable was dual use of e-cigarettes (n = 292), dual use of NRT (n = 117), or exclusive smoking (n = 1089), assessed at baseline. Outcomes were overall quit rate, past-year quit attempts, and success of quit attempts at 12-month follow-up. Baseline sociodemographic and smoking-related covariates were included.

RESULTS

Overall quit rates were not lower in dual e-cigarette users than exclusive smokers (OR = 1.31, 0.90-1.89). Dual users of e-cigarettes were more likely than exclusive smokers to make a quit attempt, but this difference was not significant after adjustment for covariates (OR = 1.27, 95%CI 0.95-1.69). Among those attempting to quit, success rates did not differ significantly. Dual users of e-cigarettes were less likely to make a quit attempt than dual users of NRT (OR = 0.61, 95%CI 0.38-0.98) but the success rate of quit attempts and overall quit rates did not differ significantly.

CONCLUSIONS

In England, dual use of e-cigarettes is not associated with reduced overall quit rates compared with exclusive smoking or dual use of NRT. However, dual use of e-cigarettes is associated with a slightly higher quit attempt rate than exclusive smoking but lower than dual use of NRT.

Smokers who do not quit: Can the precaution adoption process model help identify hard-core smokers?

Introduction

Hard-core smokers have been identified as a potential public health challenge. The trans-theoretical model lacks the specificity to identify hard-core smokers. The precaution adoption process model (PAPM) is a stage-based behaviour change model which includes ‘no intent to quit’ as a distinct stage and so may be useful in identifying hard-core smokers.

Aims

The aim of this study was to apply the PAPM to a community based sample of smokers to determine whether it provides a useful approach to identifying hard-core smokers.

Methods

We surveyed smokers in Australia who were recruited through social media and an online data collection agency.

Results

The sample included 336 current smokers, 11.9% were in Stage 4 of the PAPM – i.e. had decided not to quit. Stage 4 smokers are more resistant to quitting and marked by their similarities to hard-core smokers. This is further amplified when addressing Stage 4 smokers with no previous quit attempt.

Conclusions

Stage 4 smokers with no previous quit attempts are aligned with a hard-core smoker profile with higher levels of nicotine dependence, greater cigarette consumption and low socio-economic status. Further research is required to determine if PAPM is a valid predictive model for identifying hard-core smokers in clinical practice.

Prevalence of tobacco related chronic diseases and its role in smoking cessation among smokers in a rural area of Shanghai, China: a cross sectional study

BACKGROUND

Tobacco smoking is a recognized risk factor for many chronic diseases and previous study evidences have indicated that smokers receive smoking cessation service after the diagnosis of chronic diseases increases successful rate in quitting. But the prevalence of tobacco related chronic diseases (TCD) among smokers, as well as the role of TCD diagnosis in smoking cessation is still unclear in China.

METHODS

From June 2016 to December 2017, we sampled 36, 698 residents aged over 18 years by a three stage sampling in Songjiang district, Shanghai. We conducted a cross-sectional study to understand the prevalence of TCD among smokers, and the role of TCD diagnosis in smoking cessation among ex-smokers as well as the smoking cessation attempt among current smokers.

RESULTS

Over all, the prevalence of current smoking is 19.78% (48.36% for male and 0.22% for female). 15.93% of smokers have stopped smoking successfully (1, 376/8, 636). The prevalence of ten selected TCDs among smokers range from 0.63% (Chronic Obstructive Pulmonary Disease, COPD) to 36.31% (hypertension). All of 1, 376 ex-smokers had at least one kind of TCD, and 52.33% of them stop smoking after the diagnosis of TCD, the time interval between TCD diagnosis and smoking cessation ranges from 0 to 65 years, with a median of 9 years. Smokers with TCD had higher prevalence of quit smoking, and current smokers with TCD had higher smoking cessation attempt proportion.

CONCLUSIONS

The prevalence of current smoking is still very high among male residents in rural area of Shanghai, and the occurrence of TCD even non-lethal one could provide an opportunity for doctors to assist the smoking cessation among smokers.

Roll-your-own cigarette use and smoking cessation behaviour: a cross-sectional population study in England

OBJECTIVES

Roll-your-own (RYO) cigarettes have become popular in the UK and reduce the cost of smoking, potentially mitigating the impact of tax increases on quitting. We examined whether RYO cigarette use was associated with reduced motivation to quit smoking, incidence of quit attempts and quit success.

DESIGN

Cross-sectional survey.

SETTING

England.

PARTICIPANTS

38 590 adults who reported currently smoking or having stopped within the past 12 months.

MAIN OUTCOME MEASURES

Motivation to quit smoking, quit attempt in the last year, motives for quitting and quit success were regressed onto RYO cigarette use, adjusting for sociodemographic variables and level of cigarette addiction. Mediation by weekly spending on smoking was tested.

RESULTS

Compared with manufactured cigarette smokers, RYO smokers had lower odds of high motivation to quit (OR=0.77, 95% CI 0.73 to 0.81) or having made a quit attempt (OR=0.87, 95% CI 0.84 to 0.91). Among those who had attempted to quit smoking, quit success did not differ by cigarette type (OR=1.00, 95% CI 0.89 to 1.12), but RYO smokers were less likely to report cost of smoking as a motive to quit (OR=0.68, 95% CI 0.61 to 0.74). Spending on smoking mediated the association between RYO use and quit attempts (β=-0.02, SE=0.003, 95% CI -0.03 to -0.02).

CONCLUSIONS

In England, compared with smokers of manufactured cigarettes, RYO cigarette smokers appear to have lower motivation to quit and lower incidence of quit attempts but similar success of quit attempts. The lower cost of RYO smoking appears to mediate the lower incidence of quit attempts among RYO users.

Are smokers who are regularly exposed to e-cigarette use by others more or less motivated to stop or to make a quit attempt? A cross-sectional and longitudinal survey

BACKGROUND

Concerns have been raised that observing other people using e-cigarettes may undermine motivation to quit by renormalising smoking. This study aimed to explore associations between regular exposure to other people's e-cigarette use and motivation to stop smoking and quit attempts in smokers.

METHODS

Data were from 12,787 smokers in England who participated in the Smoking Toolkit Study between November 2014 and May 2018. At baseline, respondents were asked whether anyone other than themselves regularly used an e-cigarette in their presence, whether they had made a quit attempt in the past year and how motivated they were to stop. Data at 6-month follow-up were available for 1580 respondents, who reported on whether they had attempted to quit in the past 6 months.

RESULTS

Smokers who reported regular exposure to e-cigarette use by others were more likely than those who did not to have tried to stop smoking in the past year (32.3% vs. 26.8%; unadjusted RR 1.21, 95% CI 1.11-1.31) and have high motivation to quit (16.6% vs. 14.2%; unadjusted RR 1.17, 95% CI 1.05-1.30) but were not significantly more or less likely to make a quit attempt over the subsequent 6 months (34.4% vs. 31.3%; unadjusted RR 1.10, 95% CI 0.88-1.38). In models that adjusted for participants' own current e-cigarette use and unadjusted and adjusted models excluding current e-cigarette users from the sample, there were no significant associations between exposure to e-cigarette use by others and past quit attempts (RR 0.97-1.00), high current motivation to quit (RR 0.97-1.00) or prospective quit attempts (RR 0.94-1.12). In contrast, exposure to use of cigarettes was associated with low motivation to quit even after adjustment (RR 0.89) but not with quit attempts. Participants' own use of e-cigarette was strongly associated with high motivation to quit (RR 1.95) and past quit attempts (RR 2.14) and appeared to account for the bivariate associations with reported exposure to e-cigarettes.

CONCLUSION

Smokers who report regular exposure to other people using e-cigarettes are more likely to report past quit attempts and high current motivation to quit, but there does not appear to be an independent association with motivation or quit attempts after adjustment for their own current use of e-cigarettes. In contrast, reported exposure to other people using cigarettes was independently and negatively associated with high motivation.

Reassessing the importance of 'lost pleasure' associated with smoking cessation: implications for social welfare and policy

INTRODUCTION

Benefit-cost analyses of tobacco regulations include estimates of the informed choice of smokers to continue smoking. Few studies have focused on subjective feelings associated with continued smoking. This study estimates how smoker discontent and regret relate to risk perceptions and health concerns.

METHODS

We analysed data from a 2015 nationally representative, online survey of 1284 US adult current smokers. Information was collected on regret, intention to quit, perceived addiction, risk perceptions and health concerns. Multivariate logistic regression adjusting for sociodemographics and health status was used to examine factors associated with smoker discontent.

RESULTS

More than 80% of current smokers report high (22.5%) or very high (59.8%) discontent due to inability to quit, perceived addiction and regret about having started to smoke. Higher levels of discontent did not vary significantly by sex, age, race/ethnicity, education or income (adjusted odds ratios (AORs) 0.5-1.2). Compared with the smokers expressing low (5.9%) or very low (3.6%) discontent, those expressing higher levels of discontent perceived their health status as fair/poor (AOR=2.3), worried most of the time about lung cancer (AOR=4.6) and felt they were more likely to develop lung cancer in the future (AOR=5.1).

CONCLUSION

The proportion of smokers who might be characterised as having a preference to continue smoking are greatly outnumbered by addicted, discontent and concerned smokers who want to quit and regret ever having started to smoke. These discontent smokers could have a substantial net welfare gain if new regulations helped them escape their concerns about the health effects from continuing smoking.

Factors associated with continued smoking after the diagnosis of type 2 diabetes: a retrospective study in the Korean cohort

OBJECTIVE

To investigate the factors associated with continued smoking in patients newly diagnosed with type 2 diabetes.

DESIGN

Retrospective study using the Korean National Health Insurance Service-National Health Screening Cohort (2002-2013) database.

PARTICIPANTS

Male patients newly diagnosed with type 2 diabetes between 1 January 2004 and 31 December 2011.

MEASUREMENT

Change in smoking behaviour after the diabetes diagnosis was assessed using a self-reported questionnaire, which was administered before and after the diagnosis. To identify the factors associated with continued smoking after diabetes diagnosis, a multivariate-adjusted logistic regression was conducted using only the variables with statistical significance from the univariate analyses.

RESULTS

Younger age, lower economic status, heavier smoking habit, lower Charlson Comorbidity Index and comorbid hypertension were identified as factors associated with continued smoking after the diagnosis of type 2 diabetes. Older patients (adjusted OR (aOR) 0.71, 95% CI 0.63 to 0.79) and patients with longer diabetic duration (1-2 years OR 0.88, 95% CI 0.80 to 0.98, ≥3 years OR 0.63, 95% CI 0.55 to 0.73) were more likely to quit smoking. Contrastingly, smokers in the lower economic status (aOR 1.29, 95% CI 1.18 to 1.42) and heavier smoking habit (moderate: aOR 1.53, 95% CI 1.35 to 1.72; heavy: aOR 1.90, 95% CI 1.67 to 2.17) categories were more likely to continue smoking after the diagnosis.

CONCLUSIONS

It is important to identify the factors associated with smoking behaviour in patients with type 2 diabetes. Recognising the factors that contribute to the vulnerability of patients to continued smoking will be helpful in developing policies and intervention strategies in future. Vulnerable patients may require intensive education and encouragement to quit smoking. We recommend physicians to take a more proactive approach, such as encouraging frequent clinical sessions for behavioural counselling and even early pharmacological interventions, when they encounter patients with the factors outlined in this study.

Want, need and habit as drivers of smoking behaviour: A preliminary analysis

BACKGROUND AND AIMS

Models of tobacco smoking behaviour propose that anticipated pleasure or satisfaction, the need to alleviate a nicotine-induced drive state and a stimulus-driven impulse potentially play an important role. This study aimed to provide a preliminary assessment of how far urges to smoke are reported by smokers and whether the strength of such urges prior to a quit attempt predicts short-term success at quitting.

METHODS

In a prospective study, 566 smokers attending a treatment programme to help smokers quit completed a written questionnaire covering frequency of different types of urge to smoke (automatic impulse - 'automatic urges', anticipated pleasure - 'pleasure urges', and fulfilling a need - 'need urges'). They were asked to rate this for whichever of these urges was dominant for them. The questionnaire also assessed daily cigarette consumption, time to first cigarette of the day, age and gender. Carbon monoxide verified smoking status was recorded at 1 and 4weeks after the target quit date.

FINDINGS

A total of 47.9% (271) of smokers reported that automatic urges were dominant, 21.7% (123) reported pleasure urges to be dominant, and 30.4% (172) reported need urges to be dominant. The strength of automatic urges predicted abstinence at both 1week (OR=0.74, p=0.005, 95%CI=0.60-0.92) and 4weeks (OR=0.73, p=0.008, 95%CI=0.59-0.92). Associations between other urge types and abstinence were not statistically significant.

CONCLUSIONS

A substantial proportion of smokers attending a clinic for help with quitting report that their dominant urges to smoke occur without any anticipation of pleasure or relief and the strength of the automatic urges predicts failure to sustain abstinence following a quit attempt.

Smoking Urges During Treatment and Long-Term Cessation among Low-Income African Americans

Objective

The urge to smoke is a predictor of smoking relapse. Little research has focused on the impact of acute urges during treatment among African Americans. This study examined the relationship between smoking urges and long-term abstinence among treatment seekers.

Design

Longitudinal prospective investigation. Urges to smoke were assessed at the initial (session 1) and final (session 8) sessions among adult smokers (N=308) enrolled in a 4-week group intervention trial. Nicotine patch use was assessed over 30 days.

Main Outcome Measures

Biochemically verified 7-day point prevalence abstinence (7-day ppa) was assessed immediately post-intervention, and at 3-, 6-, and 12-month follow-ups. Hierarchical logistic regressions tested associations between session 1 and session 8 urges and 7-day ppa at each smoking status assessment.

Results

There was a significant overall decrease in smoking urges (M=29, SD=15 at session 1; M=17, SD=11 at session 8). After controlling for covariates, urges to smoke at session 1 were unrelated to 7-day ppa at any of the assessment points. However, session 8 urges were inversely associated with 7-day ppa post-intervention (AOR=.94, CI:.92-.97), at 3-months (AOR=.93, CI: .89-.97), 6-months (AOR=.93, CI: .90-.97), and 12-months (AOR=.96, CI: .96-.99). Nicotine patch use was positively associated with 7-day ppa at each assessment.

Conclusions

The most robust predictors of abstinence through 12-months post-intervention were decreased urges over the 4-week, 8-session group intervention and the frequency of nicotine patch use. Interventions aimed at addressing the needs of African American smokers should address urges and encourage nicotine replacement adherence to increase abstinence rates.

Tobacco smoking: Health impact, prevalence, correlates and interventions

BACKGROUND AND OBJECTIVES

Despite reductions in prevalence in recent years, tobacco smoking remains one of the main preventable causes of ill-health and premature death worldwide. This paper reviews the extent and nature of harms caused by smoking, the benefits of stopping, patterns of smoking, psychological, pharmacological and social factors that contribute to uptake and maintenance of smoking, the effectiveness of population and individual level interventions aimed at combatting tobacco smoking, and the effectiveness of methods used to reduce the harm caused by continued use of tobacco or nicotine in some form.

RESULTS AND CONCLUSIONS

Smoking behaviour is maintained primarily by the positive and negative reinforcing properties of nicotine delivered rapidly in a way that is affordable and palatable, with the negative health consequences mostly being sufficiently uncertain and distant in time not to create sufficient immediate concern to deter the behaviour. Raising immediate concerns about smoking by tax increases, social marketing and brief advice from health professionals can increase the rate at which smokers try to stop. Providing behavioural and pharmacological support can improve the rate at which those quit attempts succeed. Implementing national programmes containing these components are effective in reducing tobacco smoking prevalence and reducing smoking-related death and disease.

Demographics and Health Profiles of Depressive Symptoms in Korean Older Adults

This study examined the demographics and health characteristics of depressive symptoms of Korean older adults. Data were from the 2014 survey of the Korean Longitudinal Study of Aging (KLoSA). Hierarchical logistic regression was conducted to identify risk factors of depressive symptoms. Model 2 including socio-demographics and health characteristics explained 19.2% of depressive symptoms. Significant risk factors of depressive symptoms were men, age of 53-60 years, mid-sized city and rural area residents, less than high-school education, adults without spouse, 1st (lowest) quintile of annual household income, body shape as underweight, ex-smokers, non-drinkers, no regular exercise, perceived health status as poor, limited activities of daily living, and the number of comorbidities. Interventions to reduce depressive symptoms in these populations should include strategies to change some of these modifiable risk factors.

How and Why Do Smokers Start Using E-Cigarettes? Qualitative Study of Vapers in London, UK

The aims of the study were to (1) describe how and why smokers start to vape and what products they use; (2) relate findings to the COM-B theory of behaviour change (three conditions are necessary for behaviour change (B): capability (C), opportunity (O), and motivation (M)); and (3) to consider implications for e-cigarette policy research. Semi-structured interviews (n = 30) were conducted in London, UK, with smokers or ex-smokers who were currently using or had used e-cigarettes. E-cigarette initiation (behaviour) was facilitated by: capability (physical capability to use an e-cigarette and psychological capability to understand that using e-cigarettes was less harmful than smoking); opportunity (physical opportunity to access e-cigarettes in shops, at a lower cost than cigarettes, and to vape in "smoke-free" environments, as well as social opportunity to vape with friends and family); and motivation (automatic motivation including curiosity, and reflective motivation, including self-conscious decision-making processes related to perceived health benefits). The application of the COM-B model identified multiple factors that may lead to e-cigarette initiation, including those that could be influenced by policy, such as price relative to cigarettes and use in smoke-free environments. The effects of these policies on initiation should be further investigated along with the possible moderating/mediating effects of social support.

An Online Documentary Film to Motivate Quit Attempts Among Smokers in the General Population (4Weeks2Freedom): A Randomized Controlled Trial

INTRODUCTION

Online motivational films to promote quit attempts could encourage large numbers of smokers to stop at low unit cost. We evaluated an online film documenting the experiences of smokers who recorded the first month of their successful attempts to quit (4Weeks2Freedom). The film was designed to boost motivation and self-efficacy and provide role-models to promote ex-smoker identities.

METHODS

This was a randomized trial with individual assignment to a no-intervention control (n = 1016), an informational film (n = 1004), or 4Weeks2Freedom (n = 999). The development of 4Weeks2Freedom was informed by PRIME theory and focus-group testing with smokers. The 90-minute film was available online to view in one sitting or as chapters over 4 weeks to coincide with the progress of an attempt. The primary outcome was a quit attempt in the 4 weeks between assignment and study endpoint by intent-to-treat.

RESULTS

Participants smoked a mean of 13 cigarettes per day and 31% reported not wanting to stop. At follow-up, 55% reported viewing the informational control film and 56% viewing 4Weeks2Freedom. There was no detectable effect compared with the no-intervention control (OR = 0.99, 95% CI = 0.81 to 1.21, 24.3% vs. 24.5%) or informational control film (OR = 0.99, 95% CI = 0.80 to 1.21, 24.3% vs. 24.6%). Calculation of Bayes factors ruled out insensitive data and indicated the intervention was no more effective than either the no-intervention control (Bayes factor = 0.20) or informational control film (Bayes factor = 0.27). The pattern of results was unchanged in sensitivity analyses that examined the effect among only those who viewed the films.

CONCLUSION

The online documentary film (4Weeks2Freedom) designed to boost motivation and self-efficacy and to promote ex-smoker identity does not appear to prompt quit attempts among smokers.

IMPLICATIONS

This trial found that an online documentary film (4Weeks2Freedom) designed to boost motivation and self-efficacy and to promote ex-smoker identity was ineffective in prompting quit attempts among an unselected panel of smokers from the UK. This approach appears unpromising as a means of raising the rate at which smokers attempt to quit and is a low priority for future research.

Self-Exempting Beliefs and Intention to Quit Smoking within a Socially Disadvantaged Australian Sample of Smokers

An investigation of beliefs used to rationalise smoking will have important implications for the content of anti-smoking programs targeted at socioeconomically disadvantaged groups, who show the lowest rates of cessation in the population. This study aimed to assess the types of self-exempting beliefs reported by a sample of socioeconomically disadvantaged smokers, and identify associations between these beliefs and other smoking-related factors with quit intentions. A cross-sectional survey was conducted from March-December 2012 with smokers seeking welfare assistance in New South Wales (NSW), Australia (n = 354; response rate 79%). Responses to a 16-item self-exempting beliefs scale and intention to quit, smoker identity, and enjoyment of smoking were assessed. Most participants earned <AUD$400/week (70%), and had not completed secondary schooling (64%). All "jungle" beliefs (normalising the dangers of smoking due to ubiquity of risk) and selected "skeptic" beliefs were endorsed by 25%-47% of the sample, indicating these smokers may not fully understand the extensive risks associated with smoking. Smokers with limited quit intentions held significantly stronger self-exempting beliefs than those contemplating or preparing to quit (all p < 0.01). After adjusting for smoking-related variables only "skeptic" beliefs were significantly associated with intention to quit (p = 0.02). Some of these beliefs are incorrect and could be addressed in anti-smoking campaigns.

Comparative effectiveness of motivation phase intervention components for use with smokers unwilling to quit: a factorial screening experiment

AIMS

To screen promising intervention components designed to reduce smoking and promote abstinence in smokers initially unwilling to quit.

DESIGN

A balanced, four-factor, randomized factorial experiment.

SETTING

Eleven primary care clinics in southern Wisconsin, USA.

PARTICIPANTS

A total of 517 adult smokers (63.4% women, 91.1% white) recruited during primary care visits who were willing to reduce their smoking but not quit.

INTERVENTIONS

Four factors contrasted intervention components designed to reduce smoking and promote abstinence: (1) nicotine patch versus none; (2) nicotine gum versus none; (3) motivational interviewing (MI) versus none; and (4) behavioral reduction counseling (BR) versus none. Participants could request cessation treatment at any point during the study.

MEASUREMENTS

The primary outcome was percentage change in cigarettes smoked per day at 26 weeks post-study enrollment; the secondary outcomes were percentage change at 12 weeks and point-prevalence abstinence at 12 and 26 weeks post-study enrollment.

FINDINGS

There were few main effects, but a significant four-way interaction at 26 weeks post-study enrollment (P = 0.01, β = 0.12) revealed relatively large smoking reductions by two component combinations: nicotine gum combined with BR and BR combined with MI. Further, BR improved 12-week abstinence rates (P = 0.04), and nicotine gum, when used without MI, increased 26-week abstinence after a subsequent aided quit attempt (P = 0.01).

CONCLUSIONS

Motivation-phase nicotine gum and behavioral reduction counseling are promising intervention components for smokers who are initially unwilling to quit.

Comparing socially disadvantaged smokers who agree and decline to participate in a randomised smoking cessation trial

OBJECTIVES

This study examined sociodemographic, smoking and psychosocial characteristics associated with consent to participate in a smoking cessation trial for socially disadvantaged smokers.

DESIGN

Baseline data were collected prior to seeking consent for the Call it Quits, a randomised controlled trial.

SETTING

An Australian social and community service organisation. Sociodemographic, smoking and psychosocial characteristics were compared between smokers who agreed or declined to participate.

PARTICIPANTS

Of the 584 smokers invited to participate, 431 (74%) consented and 153 (26%) declined.

RESULTS

Logistic regression modelling indicates the ORs of participation were twice as high for those reporting 'high' motivation to quit compared to the 'moderate' motivation group, and five times higher than the 'low' motivation group (p=0.007). The ORs of consenting were higher for those with a preference for gradual reduction in cigarettes in quit attempts compared with 'no preference'. The ORs were lower for those reporting 'don't know' regarding their enjoyment of smoking compared to 'not at all' enjoying smoking, and reporting that fewer of their family or friends smoked compared to 'most or all'.

CONCLUSIONS

This study is the first to examine the characteristics of socially disadvantaged smokers who consent or decline to participate in a smoking cessation trial. Low-income smokers who are motivated to quit, are not enjoying smoking, had family or friends who smoked, and who are interested in gradual cessation approaches may be more likely to participate in a smoking cessation trial.

TRIAL REGISTRATION NUMBER

ISRCTN85202510.

Is the use of electronic cigarettes while smoking associated with smoking cessation attempts, cessation and reduced cigarette consumption? A survey with a 1-year follow-up

AIMS

To use a unique longitudinal data set to assess the association between e-cigarette use while smoking with smoking cessation attempts, cessation and substantial reduction, taking into account frequency of use and key potential confounders.

DESIGN

Web-based survey, baseline November/December 2012, 1-year follow-up in December 2013.

SETTING

Great Britain.

PARTICIPANTS

National general population sample of 4064 adult smokers, with 1759 (43%) followed-up.

MEASUREMENTS

Main outcome measures were cessation attempt, cessation and substantial reduction (≥50% from baseline to follow-up) of cigarettes per day (CPD). In logistic regression models, cessation attempt in the last year (analysis n = 1473) and smoking status (n = 1656) at follow-up were regressed on to baseline e-cigarette use (none, non-daily, daily) while adjusting for baseline socio-demographics, dependence and nicotine replacement (NRT) use. Substantial reduction (n = 1042) was regressed on to follow-up e-cigarette use while adjusting for baseline socio-demographics and dependence and follow-up NRT use.

FINDINGS

Compared with non-use, daily e-cigarette use at baseline was associated with increased cessation attempts [odds ratio (OR) = 2.11, 95% confidence interval (CI) = 1.24-3.58, P = 0.006], but not with cessation at follow-up (OR = 0.62, 95% CI = 0.28-1.37, P = 0.24). Non-daily use was not associated with cessation attempts or cessation. Daily e-cigarette use at follow-up was associated with increased odds of substantial reduction (OR = 2.49, 95% CI = 1.14-5.45, P = 0.02), non-daily use was not.

CONCLUSIONS

Daily use of e-cigarettes while smoking appears to be associated with subsequent increases in rates of attempting to stop smoking and reducing smoking, but not with smoking cessation. Non-daily use of e-cigarettes while smoking does not appear to be associated with cessation attempts, cessation or reduced smoking.

Do cravings predict smoking cessation in smokers calling a national quit line: secondary analyses from a randomised trial for the utility of 'urges to smoke' measures

Background

Single-item urges to smoke measures have been contemplated as important measures of nicotine dependence This study aimed to prospectively determine the relationships between measures of craving to smoke and smoking cessation, and compare their ability to predict cessation with the Heaviness of Smoking Index, an established measure of nicotine dependence.

Methods

We conducted a secondary analysis of data from the randomised controlled PORTSSS trial. Measures of nicotine dependence, ascertained before making a quit attempt, were the HSI, frequency of urges to smoke (FUTS) and strength of urges to smoke (SUTS). Self-reported abstinence at six months after quitting was the primary outcome measure. Multivariate logistic regression and Receiver Operating Characteristic (ROC) analysis were used to assess associations and abilities of the nicotine dependence measures to predict smoking cessation.

Results

Of 2,535 participants, 53.5% were female; the median (Interquartile range) age was 38 (28–50) years. Both FUTS and HSI were inversely associated with abstinence six months after quitting; for each point increase in HSI score, participants were 16% less likely to have stopped smoking (OR 0.84, 95% C.I 0.78-0.89, p < 0.0001). Compared to participants with the lowest possible FUTS scores, those with greater scores had generally lower odds of cessation (p across frequency of urges categories=0.0026). SUTS was not associated with smoking cessation. ROC analysis suggested the HSI and FUTS had similar predictive validity for cessation.

Conclusions

Higher FUTS and HSI scores were inversely associated with successful smoking cessation six months after quit attempts began and both had similar validity for predicting cessation.

Electronic supplementary material

The online version of this article (doi:10.1186/s13011-015-0011-8) contains supplementary material, which is available to authorized users.

Determining Smoking Cessation Related Information, Motivation, and Behavioral Skills among Opiate Dependent Smokers in Methadone Treatment

BACKGROUND

Over 80% of people in methadone treatment smoke cigarettes, and existing smoking cessation interventions have been minimally effective.

OBJECTIVE

To develop an Information-Motivation-Behavioral Skills (IMB) Model of behavior change based smoking cessation intervention for methadone maintained smokers, we examined smoking cessation related IMB factors in this population.

METHODS

Current or former smokers in methadone treatment (n = 35) participated in focus groups. Ten methadone clinic counselors participated in an individual interview. A content analysis was conducted using deductive and inductive approaches.

RESULTS

Commonly known IMB factors related to smoking cessation were described. These factors included: the health effects of smoking and treatment options for quitting (information); pregnancy and cost of cigarettes (motivators); and coping with emotions, finding social support, and pharmacotherapy adherence (behavioral skills). IMB factors specific to methadone maintained smokers were also described. These factors included: the relationship between quitting smoking and drug relapse (information), the belief that smoking is the same as using drugs (motivator); and coping with methadone clinic culture and applying skills used to quit drugs to quitting smoking (behavioral skills). IMB strengths and deficits varied by individual.

CONCLUSIONS

Methadone maintained smokers could benefit from research on an IMB Model based smoking cessation intervention that is individualized, addresses IMB factors common among all smokers, and also addresses IMB factors unique to this population.

Protocol for a national monthly survey of alcohol use in England with 6-month follow-up: 'the Alcohol Toolkit Study'

Background

Timely tracking of national patterns of alcohol consumption is needed to inform and evaluate strategies and policies aimed at reducing alcohol-related harm. Between 2014 until at least 2017, the Alcohol Toolkit Study (ATS) will provide such tracking data and link these with policy changes and campaigns. By virtue of its connection with the ‘Smoking Toolkit Study’ (STS), links will also be examined between alcohol and smoking-related behaviour.

Methods/Design

The ATS consists of cross-sectional household, computer-assisted interviews of representative samples of adults in England aged 16+. Each month a new sample of approximately 1800 adults complete the survey (~n = 21,600 per year). All respondents who consent to be followed-up are asked to complete a telephone survey 6 months later. The ATS has been funded to collect at least 36 waves of baseline and 6-month follow-up data across a period of 3 years. Questions cover alcohol consumption and related harm (AUDIT), socio-demographic characteristics, attempts to reduce or cease consumption and factors associated with this, and exposure to health professional advice on alcohol. The ATS complements the STS, which has been tracking key performance indicators relating to smoking since 2006. As both the ATS and STS involve the same respondents, it is possible to assess interactions between changes in alcohol and tobacco use. Data analysis will involve: 1) Descriptive and exploratory analyses undertaken according to a pre-defined set of principles while allowing scope for pursuing lines of enquiry that arise from prior analyses; 2) Hypothesis testing according to pre-specified, published analysis plans. Descriptive data on important trends will be published monthly on a dedicated website: www.alcoholinengland.info.

Discussion

The Alcohol Toolkit Study will improve understanding of population level factors influencing alcohol consumption and be an important resource for policy evaluation and planning.

A mobile app to aid smoking cessation: preliminary evaluation of SmokeFree28

BACKGROUND

Little is known about the effectiveness of mobile apps in aiding smoking cessation or their validity for automated collection of data on smoking cessation outcomes.

OBJECTIVE

We conducted a preliminary evaluation of SF28 (SF28 is the name of the app, short for SmokeFree28)-an app aimed at helping smokers to be smoke-free for 28 days.

METHODS

Data on sociodemographic characteristics, smoking history, number of logins, and abstinence at each login were uploaded to a server from SF28 between August 2012 and August 2013. Users were included if they were aged 16 years or over, smoked cigarettes at the time of registration, had set a quit date, and used the app at least once on or after their quit date. Their characteristics were compared with data from a representative sample of smokers trying to stop smoking in England. The percentage of users recording 28 days of abstinence was compared with a value of 15% estimated for unaided quitting. Correlations were assessed between recorded abstinence for 28 days and well-established abstinence predictors.

RESULTS

A total of 1170 users met the inclusion criteria. Compared with smokers trying to quit in England, they had higher consumption, and were younger, more likely to be female, and had a non-manual rather than manual occupation. In total, 18.9% (95% CI 16.7-21.1) were recorded as being abstinent from smoking for 28 days or longer. The mean number of logins was 8.5 (SD 9.0). The proportion recording abstinence for 28 days or longer was higher in users who were older, in a non-manual occupation, and in those using a smoking cessation medication.

CONCLUSIONS

The recorded 28-day abstinence rates from the mobile app, SF28, suggest that it may help some smokers to stop smoking. Further evaluation by means of a randomized trial appears to be warranted.

The relation between number of smoking friends, and quit intentions, attempts, and success: findings from the International Tobacco Control (ITC) Four Country Survey

Smokers who inhabit social contexts with a greater number of smokers may be exposed to more positive norms toward smoking and more cues to smoke. This study examines the relation between number of smoking friends and changes in number of smoking friends, and smoking cessation outcomes. Data were drawn from Wave 1 (2002) and Wave 2 (2003) of the International Tobacco Control (ITC) Project Four Country Survey, a longitudinal cohort survey of nationally representative samples of adult smokers in Australia, Canada, United Kingdom, and United States (N = 6,321). Smokers with fewer smoking friends at Wave 1 were more likely to intend to quit at Wave 1 and were more likely to succeed in their attempts to quit at Wave 2. Compared with smokers who experienced no change in their number of smoking friends, smokers who lost smoking friends were more likely to intend to quit at Wave 2, attempt to quit between Wave 1 and Wave 2, and succeed in their quit attempts at Wave 2. Smokers who inhabit social contexts with a greater number of smokers may be less likely to successfully quit. Quitting may be particularly unlikely among smokers who do not experience a loss in the number of smokers in their social context.

Work and Non-Work Physical Activity Predict Real-Time Smoking Level and Urges in Young Adults

INTRODUCTION

Physical activity (PA) and smoking are inversely related. However, evidence suggests that some types of PA, namely work-related PA, may show an opposite effect. Despite growing knowledge, there remains a paucity of studies examining the context of these behaviors in naturalistic settings or in young adults, a high-risk group for escalation.

METHODS

Participants were 188 young adults (mean age = 21.32; 53.2% female; 91% current smokers) who participated in an electronic diary week to assess daily smoking and urges and a PA recall to examine daily PA. PA was coded into non-work-related and work-related activity to examine differential effects. We considered both participants' weekly average PA and their daily deviations from their average.

RESULTS

Mixed-effects regression models revealed that higher weekly average non-work PA was associated with lower smoking level and urges. Daily deviations in non-work PA did not predict urges; however, increased daily non-work PA relative to participants' weekly average was associated with lower smoking for females but higher levels for males. Regarding work PA, only higher weekly average work PA was associated with higher smoking level for both genders; work PA did not predict urges.

CONCLUSIONS

Results extend previous literature by documenting differential associations between non-work and work PA and young adult smoking and suggest that young adults engaged in work PA should be considered a high-risk group for escalation. Findings provide theoretical and clinical implications for the use of PA in intervention and highlight the necessity of considering PA as a multidimensional construct when examining its links to health behavior.

Ex-smokers are happier than current smokers among Chinese adults in Hong Kong

AIM

To investigate the cross-sectional association between smoking and happiness in Chinese adults in Hong Kong.

DESIGN, SETTING AND PARTICIPANTS

Telephone surveys were conducted between 2009 and 2012, with 4553 randomly sampled Chinese adults (male 54%, mean age 58.3 years) in Hong Kong.

MEASUREMENTS

Happiness was measured using the four-item Subjective Happiness Scale (SHS) and single-item Global Happiness Item (GHI). Smoking status was categorized as current smokers (7.7%%), ex-smokers (6.5%, 93% quit for >6 months) and never smokers (85.8%). Linear and ordinal logistic regressions were used to calculate adjusted β-coefficients for SHS and proportional adjusted odds ratios (aOR) for GHI in relation to smoking.

FINDINGS

Compared with current smokers, ex-smokers enjoyed greater happiness according to both SHS (adjusted β = 0.16, P < 0.05) and GHI (aOR = 1.52, P < 0.05) measurements, but current and never smokers were similar. Among current smokers, the number of cigarettes smoked was not associated with happiness, but the lack of any attempt to quit was associated significantly with greater happiness (adjusted β = 0.31 for SHS, aOR = 1.82 for GHI) compared with smokers who had tried to quit but not succeeded. Smokers not intending to quit in the next 6 months had higher odds of happiness (GHI) than those wanting to quit within 6 months (aOR = 1.86, P < 0.05).

CONCLUSIONS

Ex-smokers in Hong Kong are happier than current smokers and never smokers, whose happiness measurements are similar. Causal associations have yet to be established.

Association between positivity and smoking cessation

The literature documents that personality characteristics are associated with healthy lifestyles, including smoking. Among positive traits, Positivity (POS), defined as a general disposition conducive to facing experience under a positive outlook has shown robust associations with psychological health. Thus, the present study investigated the extent to which POS is able to predict (i) relapse after quitting smoking and (ii) the desire to smoke again. All participants (481) had previously attended a Group Counselling Program (GCP) for Smoking Cessation (from 2005 through 2010). They were contacted through telephone interview. Among participants, 244 were ex-smokers (age: years 56.3 ± 10.08, 52% female) and 237 were still-smokers (age: years 55.0 ± 9.63; 63.5% female). The association of POS with "craving to smoke" levels was assessed with multivariate linear regression analysis while controlling also for important differences in personality such as conscientiousness and general self-efficacy, as well as for gender and age. Results showed that POS was significantly and negatively associated with smoking status and with craving to smoke. Among covariates (i.e., conscientiousness, generalized self-efficacy), gender was associated with smoking status and with craving to smoke. Altogether these findings corroborate the idea that POS plays a significant role in sustaining individuals' efforts to quit smoking.

Positive smoker identity as a barrier to quitting smoking: findings from a national survey of smokers in England

BACKGROUND

It has been proposed that positive smoker identity may be an important factor undermining smoking cessation but very little research exists on this. This study tested the hypothesis that a simple measure of positive smoker identity would predict quit attempts over and above other known predictors in a population sample. More tentatively it explored whether this measure would also predict quit success.

METHODS

A representative sample of adult smokers in England (n=9456) was included at baseline and 2099 were followed-up at six months. Demographic and smoking characteristics, a single item measure of positive smoker identity (endorsing the statement: 'I like being a smoker'), measures of smoking-related attitudes, quit attempts and quit success were included.

RESULTS

A total of 18.3% (95% CI=17.5-19.2) of smokers reported a positive smoker identity. Adjusting for all other predictors, those with a positive smoker identity were more likely to be older (p<0.001), male (p=0.013), more nicotine dependent (p<0.001), have lower motivation to stop (p<0.001), have not made a quit attempt in the past year (p=0.025), enjoy smoking (p<0.001), and consider themselves to be addicted (p<0.001). Having a positive smoker identity independently predicted failure to make a quit attempt at six months (p=0.007). The independent association with quit success was similar in magnitude but did not reach statistical significance (p=0.053).

CONCLUSIONS

Only a minority of smokers in England have a positive smoker identity. However, where it is present it may be an important barrier to quitting smoking and merits further study.

Knowing quitters predicts smoking cessation in a homeless population

OBJECTIVES

To examine the impact of knowing quitters on cessation among homeless smokers.

METHODS

Secondary analysis of data derived from a community-based randomized controlled trial of 430 homeless smokers. We conducted multivariable logistic regression analysis to determine whether knowing quitters impacted the likelihood of cessation (salivary cotinine ≤ 20 ng/ml) at 26-week follow-up.

RESULTS

Multivariable logistic regression showed cessation was more likely for smokers who knew ≥ 5 quitters compared with those who knew no quitters (Odds Ratio = 3.79, CI = 1.17, 12.27, p = .008), adjusting for age, education, income, and time to first cigarette in morning.

CONCLUSIONS

Knowing former smokers was associated with increased likelihood of achieving smoking abstinence among homeless smokers.

Cue-induced cigarette and food craving: a common effect?

Cue-induced cravings may hinder behavior change efforts such as smoking cessation. Correlation of cue-induced cravings across multiple stimuli would provide evidence for a cue-reactive phenotype that may have implications for behavior change therapies. The purpose of this study was to examine relationships between cue-induced cravings for cigarettes and cue-induced cravings for a highly preferred food (chocolate) in a sample of smokers not subjected to lengthy deprivation for either of these two appetitive outcomes. Adult smokers (N=164) were assessed for chocolate cravings before and after exposure to chocolate cues and cigarette cravings before and after exposure to smoking cues. Consistent with previous reports, cigarette cravings increased significantly post-cue exposure and chocolate cravings increased significantly post-cue exposure (p's<.0001). Consistent with study hypotheses, the magnitude of the increase in chocolate cravings after cue-exposure was significantly related to the increase in post-cue cigarette cravings (r=0.38; p<.0001), and was significantly related to scores on a retrospective, self-report, measure of cue-induced food cravings in daily life. These findings are consistent with the idea of a general "cue-reactive" phenotype that varies across individuals, a conceptualization of risk that may point the way toward improved interventions for a variety of hedonically mediated behaviors with negative health outcomes.

Predictive validity of the Motivation To Stop Scale (MTSS): a single-item measure of motivation to stop smoking

BACKGROUND

Many different measures of motivation to stop smoking exist but it would be desirable to have a brief version that is standard for use in population surveys and for evaluations of interventions to promote cessation. The aim of this study was to assess the predictive validity and accuracy of the single-item Motivation To Stop Scale (MTSS).

METHODS

This study is part of the "Smoking Toolkit Study;" a monthly survey of representative samples of the English population. We used data from 2483 respondents to the surveys from November 2008 to January 2011, who were smokers, used the MTSS, and were followed up 6 months later to provide information on quit attempts since baseline. The MTSS consists of one item with seven response categories ranging from 1 (lowest) to level 7 (highest level of motivation to stop smoking).

RESULTS

A total of 692 smokers (27.9% (95% CI=26.1-29.6)) made an attempt to quit smoking between baseline and 6-month follow-up. The odds of quit attempts increased linearly with increasing level of motivation at baseline (p<0.001) and were 6.8 (95% CI=4.7-9.9) times higher for the highest level of motivation compared with the lowest. The accuracy of the MTSS for discriminating between smokers who did and did not attempt to quit was ROC(AUC)=0.67 (95% CI=0.65-0.70).

CONCLUSIONS

The MTSS provides strong and accurate prediction of quit attempts and is a candidate for a standard single-item measure of motivation to stop smoking. Further research should assess the external validity of this measure in different smoking populations.