The quitting rollercoaster: how recent quitting history affects future cessation outcomes (data from the International Tobacco Control 4-country cohort study)

What to do after smoking relapse? A sequential multiple assignment randomized trial of chronic care smoking treatments

AIM

To compare effects of three post-relapse interventions on smoking abstinence.

DESIGN

Sequential three-phase multiple assignment randomized trial (SMART).

SETTING

Eighteen Wisconsin, USA, primary care clinics.

PARTICIPANTS

A total of 1154 primary care patients (53.6% women, 81.2% White) interested in quitting smoking enrolled from 2015 to 2019; 582 relapsed and were randomized to relapse recovery treatment.

INTERVENTIONS

In phase 1, patients received cessation counseling and 8 weeks nicotine patch. Those who relapsed and agreed were randomized to a phase 2 relapse recovery group: (1) reduction counseling + nicotine mini-lozenges + encouragement to quit starting 1 month post-randomization (preparation); (2) repeated encouragement to quit starting immediately post-randomization (recycling); or (3) advice to call the tobacco quitline (control). The first two groups could opt into phase 3 new quit treatment [8 weeks nicotine patch + mini-lozenges plus randomization to two treatment factors (skill training and supportive counseling) in a 2 × 2 design]. Phase 2 and 3 interventions lasted ≤ 15 months.

MEASUREMENTS

The study was powered to compare each active phase 2 treatment with the control on the primary outcome: biochemically confirmed 7-day point-prevalence abstinence 14 months post initiating phase 2 relapse recovery treatment. Exploratory analyses tested for phase 3 counseling factor effects.

FINDINGS

Neither skill training nor supportive counseling (each on versus off) increased 14-month abstinence rates; skills on versus off 9.3% (14/151) versus 5.2% (8/153), P = 0.19; support on versus off 6.6% (10/152) versus 7.9% (12/152), P = 0.73. Phase 2 preparation did not produce higher 14-month abstinence rates than quitline referral; 3.6% (8/220) versus 2.1% [3/145; risk difference = 1.5%, 95% confidence interval (CI) = -1.8-5.0%, odds ratio (OR) = 1.8, 95% CI = 0.5-6.9]. Recycling, however, produced higher abstinence rates than quitline referral; 6.9% (15/217) versus 2.1% (three of 145; risk difference, 4.8%, 95% CI = 0.7-8.9%, OR = 3.5, 95% CI = 1.0-12.4). Recycling produced greater entry into new quit treatment than preparation: 83.4% (181/217) versus 55.9% (123/220), P < 0.0001.

CONCLUSIONS

Among people interested in quitting smoking, immediate encouragement post-relapse to enter a new round of smoking cessation treatment ('recycling') produced higher probability of abstinence than tobacco quitline referral. Recycling produced higher rates of cessation treatment re-engagement than did preparation/cutting down using more intensive counseling and pharmacotherapy.

Intended changes in smoking behaviour of Dutch young adults after an increase in excise tax: a cross-sectional survey

OBJECTIVES

Increasing the price of tobacco is one of the most effective measures to reduce the prevalence of smoking. In the Netherlands, the excise tax on tobacco increased by €1.14 in 2020, raising the price of a standard package of cigarettes to €8.00. This study investigates how young adults intend to change their smoking behaviour in the case of hypothetical price increases of a pack of cigarettes, and which background characteristics are associated with intended behaviour change.

DESIGN

A cross-sectional online survey was carried out between September and November 2020. Smokers indicated how they would react to several hypothetical increases in price. Four behavioural options were investigated: smoking less, quitting smoking, switching to another/cheaper product and buying cheaper cigarettes cross-border.

PARTICIPANTS

Data were obtained from 776 Dutch smokers between 15 and 25 years.

RESULTS

At a hypothetical price of €10 per package, most respondents reported an intention to smoke less (67%), followed by switching to another/cheaper product (61%), quitting smoking (49%) and shopping for cigarettes cross-border (47%). Prior quit attempts, agreeing with the increase in excise tax and the intention to quit smoking in the future increased the odds of changing behaviour. Higher self-efficacy decreased the odds of behavioural change.

CONCLUSION

Many young adults intend to change their smoking behaviour in the event of increased prices. Although intended behaviour can deviate significantly from actual behaviour, an increase in excise tax may result in a significant amount of quit attempts and reduced smoking among young adults.

Probability and predictors of long-term smoking relapse among Chinese adult smokers: A longitudinal study

Numerous smokers attempt to quit smoking, but most cessation efforts prove unsuccessful. Scarce evidence exists regarding predictors of long-term relapse in China. This study aims to evaluate the probability of relapse and examine factors may contribute to relapse among Chinese adults. A dynamic cohort of 6,036 observations on 2,378 adult quitters was constructed from the China Family Panel Studies in 2010, 2012, 2014, 2016 and 2018. The life table method was employed to calculate the probability of relapse for long-term smoking abstinence. Multivariate complementary log-log survival models were developed to examine the predictors of smoking relapse. We found that the probability of relapse decreased as the duration of abstinence increased, with rates of 49.07 %, 20.05 %, 10.29 %, and 6.63 % at 2, 4, 6, and 8 years of abstinence, respectively. The cumulative probability of relapse within 8 years was 65.89 %. Age ≥65 years, higher educational attainment, respiratory disease, and a satisfying lifestyle were associated with a reduced likelihood of relapse. Conversely, higher occupational prestige, alcohol drinking, cohabitant smoking, and greater future confidence were associated with an increased risk of relapse. These findings demonstrated that the probability of relapse decreased progressively over time, with most relapses occurring in the initial two years following quit attempts. Predictors of Chinese quitters' relapse behavior in our study were similar to those in previous studies. Drinking and cohabitant smoking were identified as strong predictors of relapse in this population.

Tobacco quitline performance: Comparing the impacts of early cessation and proactive re-engagement on callers' smoking status at follow-up at 12 months

INTRODUCTION

While tobacco Quitlines are effective in the promotion of smoking cessation, the majority of callers who wish to quit still fail to do so. The aim of this study was to determine if 12-month tobacco Quitline smoking cessation rates could be improved with re-engagement of callers whose first Quitline treatment failed to establish abstinence.

METHODS

In an adaptive trial, 614 adult smokers, who were active duty, retired, and family of military personnel with TRICARE insurance who called a tobacco Quitline, received a previously evaluated and efficacious four-session tobacco cessation intervention with nicotine replacement therapy (NRT). At the scheduled follow-up at 3 months, callers who had not yet achieved abstinence were offered the opportunity to re-engage. This resulted in three caller groups: 1) those who were abstinent, 2) those who were still smoking but willing to re-engage with an additional Quitline treatment; and 3) individuals who were still smoking but declined re-engagement. A propensity score-adjusted logistic regression model was generated to compare past-7-day point prevalence abstinence at 12 months post Quitline consultation.

RESULTS

Using a propensity score adjusted logistic regression model, comparison of the three groups resulted in higher odds of past-7-day point prevalence abstinence at follow-up at 12 months for those who were abstinent at 3 months compared to those who re-engaged (OR=9.6; 95% CI: 5.2-17.8; Bonferroni adjusted p<0.0001), and relative to those who declined re-engagement (OR=13.4; 95% CI: 6.8-26.3; Bonferroni adjusted p<0.0001). There was no statistically significant difference in smoking abstinence between smokers at 3 months who re-engaged and those who declined re-engagement (OR=1.39; 95% CI: 0.68-2.85).

CONCLUSIONS

Tobacco Quitlines seeking to select a single initiative by which to maximize abstinence at follow-up at 12 months may benefit from diverting additional resources from the re-engagement of callers whose initial quit attempt failed, toward changes which increase callers' probability of success within the first 3 months of treatment.

TRIAL REGISTRATION

This study is registered at clinicaltrials.gov (NCT02201810).

The actual and anticipated effects of restrictions on flavoured electronic nicotine delivery systems: a scoping review

Objective

To synthesize the outcomes of policy evaluations of flavoured electronic nicotine delivery systems (ENDS) restrictions.

Data sources

PubMed, Scopus, Embase and Web of Science before May 3, 2022.

Study selection

Studies that report sales, behaviour, or compliance outcomes related to implemented or hypothetical ENDS flavour restrictions.

Data extraction

Restriction details, whether implemented or hypothetical, whether additional products were restricted, jurisdictional level, study locations, and outcomes classified by sales, behaviour, and compliance.

Data synthesis

We included 30 studies. Of those, 26 were conducted exclusively in the US, two in India, and two surveyed respondents in multiple countries, including the US. Twenty-one evaluated implemented restrictions, while nine considered hypothetical restrictions. Five studies evaluated product sales, 17 evaluated behaviour, and 10 evaluated compliance, with two studies reporting multiple outcomes. Two studies reported an increase and one a reduction in cigarette sales following restrictions, while three reported reductions in ENDS sales. Behavioural studies presented a mixed view of the impacts of regulations on ENDS and cigarette use. However, the use of disparate outcomes limits the comparability of studies. Studies of hypothetical restrictions suggest decreased ENDS use, increased cigarette use, and increased use of illicit markets. Studies of compliance with flavoured product restrictions that included ENDS found that 6–39% of stores sold restricted flavoured products post-restrictions. Online stores remain a potential source of restricted products.

Conclusion

Our findings highlight the need for additional research on the impacts of ENDS restrictions. Research should further evaluate the impact of restrictions on youth and adult use of nicotine and tobacco products in addition to the effects of restrictions in countries beyond the US to enable a robust consideration of the harm-benefit trade-off of restrictions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14440-x.

Treatment History and Interest in Injectable Opioid Agonist Treatment With Hydromorphone Among People Who Inject Drugs

OBJECTIVES

Injectable opioid agonist treatment (iOAT) is a novel approach to treating opioid use disorder (OUD) that is typically reserved for treatment-experienced persons who inject drugs (PWID) with long-standing OUD. This study examined PWID's past OUD treatment histories and their attitudes toward iOAT with hydromorphone.

METHODS

This cross-sectional study recruited syringe services program participants with OUD in New York City. Participants self-reported past OUD care episodes (detoxification; outpatient, inpatient, or medication treatment; or mutual aid groups) and current interest in iOAT with hydromorphone (assessed on a 4-point scale with 3 or 4 considered "interested"). Participants with 2 or more treatment episodes in the past 5 years were considered treatment-experienced. We examined whether the number of past care episodes was associated with interest in iOAT.

RESULTS

Of 108 PWID, most participants were male (68.5%) and Hispanic (68.5%) with a mean age of 43 years (±10.8). Nearly all (98.1%) had severe OUD and had received past OUD care (96.3%), with the mean number of care episodes being 17.4 (SD, ±15.9). Most participants (59.8%) were treatment-experienced. Interest in iOAT with hydromorphone was high (64.8%), but there was no significant association between total past care episodes and expressing interest in iOAT (odds ratio, 1.02; 95% confidence interval, 0.99-1.05).

CONCLUSION

Participants were highly treatment-experienced, and iOAT interest was high regardless of prior OUD treatment. New OUD treatment options, such as iOAT with hydromorphone, would be welcomed by PWID whose OUD has not remitted with conventional treatment as well as other PWID.

Understanding the role of e-cigarette use in smoking cessation based on the stages of change model

Objective

We explored the role of e-cigarette use in smoking cessation based on the stages of change (SOC) model, which is a framework for describing the process of smoking cessation.

Methods

We used nationwide, cross-sectional data on adults (19+ years) from the seventh Korea National Health and Nutrition Examination Survey (KNHANES, 2016–2018) and restricted the participants to 3,929 recent smokers, consisting of current smokers and recent quitters (≤2 years). A multinomial logistic regression analysis was performed to reveal the relationships between e-cigarette use and cigarette quitting behaviors (e.g., current quitting status, past quit attempts, intention to quit, and duration of quitting) and all stages in smoking cessation, with adjustment for sociodemographic and smoking-related factors.

Results

E-cigarette use was positively related to past quit attempts, while not having quit, intention to quit, and longer duration of quitting. Based on the cessation stages, current and former e-cigarette users were significantly more likely to be in the ‘Precontemplation’ and ‘Contemplation’ stages than never users, while not to be in the ‘Preparation’ and ‘Action’ stages. Current users were particularly less likely to be in the ‘Maintenance’ stage compared to never users.

Conclusion

E-cigarette use was closely linked with early-stage behavior than late-stage behavior in the smoking cessation process. E-cigarettes might promote quit attempts and short-term quitting in some smokers, but the negative role of inducing smokers to continue cigarette smoking with no immediate quit-intention for future attempts is dominant in the real world.

The Promise of Polygenic Risk Prediction in Smoking Cessation: Evidence From Two Treatment Trials

INTRODUCTION

Tobacco use disorder is a complex behavior with a strong genetic component. Genome-wide association studies (GWAS) on smoking behaviors allow for the creation of polygenic risk scores (PRSs) to approximate genetic vulnerability. However, the utility of smoking-related PRSs in predicting smoking cessation in clinical trials remains unknown.

AIMS AND METHODS

We evaluated the association between polygenic risk scores and bioverified smoking abstinence in a meta-analysis of two randomized, placebo-controlled smoking cessation trials. PRSs of smoking behaviors were created using the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN) consortium summary statistics. We evaluated the utility of using individual PRS of specific smoking behavior versus a combined genetic risk that combines PRS of all four smoking behaviors. Study participants came from the Transdisciplinary Tobacco Use Research Centers (TTURCs) Study (1091 smokers of European descent), and the Genetically Informed Smoking Cessation Trial (GISC) Study (501 smokers of European descent).

RESULTS

PRS of later age of smoking initiation (OR [95% CI]: 1.20, [1.04-1.37], p = .0097) was significantly associated with bioverified smoking abstinence at end of treatment. In addition, the combined PRS of smoking behaviors also significantly predicted bioverified smoking abstinence (OR [95% CI] 0.71 [0.51-0.99], p = .045).

CONCLUSIONS

PRS of later age at smoking initiation may be useful in predicting smoking cessation at the end of treatment. A combined PRS may be a useful predictor for smoking abstinence by capturing the genetic propensity for multiple smoking behaviors.

IMPLICATIONS

There is a potential for polygenic risk scores to inform future clinical medicine, and a great need for evidence on whether these scores predict clinically meaningful outcomes. Our meta-analysis provides early evidence for potential utility of using polygenic risk scores to predict smoking cessation amongst smokers undergoing quit attempts, informing further work to optimize the use of polygenic risk scores in clinical care.

A population-level analysis of changes in Australian smokers' preferences for smoking cessation support over two decades - from 1998 to 2017

Background

Encouraging and assisting smokers to quit remains a key public health goal. Government and commercial initiatives have nudged smokers towards supported cessation. We tracked long-term trends in Australian smokers’ quit attempt methods across 20 years.

Methods

Data from 11,917 smokers were collected from an annual, cross-sectional, face-to-face, random and representative population survey. The survey measured demographic characteristics, tobacco use, recent quit attempts, nicotine dependence, quit intentions, and recent methods used when attempting to quit. Quit attempt preferences were analysed over time and by smoker characteristics.

Findings

Each year, more smokers attempted to quit than remained quit, with a stable trend over time. Socioeconomic disadvantage and mental health conditions are more likely among smokers, but there was no difference in quit attempts by these characteristics. Quit attempts have risen among those aged 60 years and over whereas other age groups have remained stable. Although trending downwards, unassisted quitting remained the most common method: 1998: 61% and 2017: 40%. Asking a doctor for help/advice (34%) was the most common assisted method in 2017, increasing from 18% in 1998. Methods of quitting varied by smoker characteristics, with supported methods used more often by older, more dependent, socio-economically disadvantaged smokers and those with a mental health condition.

Interpretation

The relative stability of recent quit attempts, persistence in unassisted quitting, and fluctuating preferences for supported cessation methods indicate that it is important for clinicians and policy makers to continue to support quit attempts through a variety of options, tailored to smoker's needs.

The Predictive Utility of Valuing the Future for Smoking Cessation: Findings from the ITC 4 Country Surveys

Background: Delay discounting (DD) and time perspective (TP) are conceptually related constructs that are theorized as important determinants of the pursuit of future outcomes over present inclinations. This study explores their predictive relationships for smoking cessation. Methods: 5006 daily smokers at a baseline wave provided 6710 paired observations of quitting activity between two waves. Data are from the International Tobacco Control (ITC) smoking and vaping surveys with samples from the USA, Canada, England, and Australia, across three waves conducted in 2016, 2018 and 2020. Smokers were assessed for TP and DD, plus smoking-specific predictors at one wave of cessation outcomes defined as either making a quit attempt and/or success among those who tried to quit which was ascertained at the subsequent survey wave. Results: TP and DD were essentially uncorrelated. TP predicted making quit attempts, both on its own and controlling for other potential predictors but was negatively associated with quit success. By contrast, DD was not related to making quit attempts, but high DD predicted relapse. The presence of financial stress at baseline resulted in some moderation of effects. Conclusions: Understanding the mechanisms of action of TP and DD can advance our understanding of, and ability to enhance, goal-directed behavioural change. TP appears to contribute to future intention formation, but not necessarily practical thought of how to achieve goals. DD is more likely an index of capacity to effectively generate competing future possibilities in response to immediate gratification.

Tobacco harm reduction: are smokers becoming more hardcore?

We undertook a systematic review to identify and summarise studies on hardcore smoking and hardening to: determine the degree of variability in definitions of hardcore smoking and hardening; assess the evidence for claims that smokers are becoming increasingly hardened within the context of harm reduction as a policy initiative; and identify the determining characteristics of a hardcore smoker. We searched five electronic databases from 1970 to mid-April 2018 using the search term "smok* AND hard* AND (tobacco OR cigar* OR nicotin*)". We included studies if they included a definition of hardcore smokers and/or hardening, and provided a prevalence rate for hard core smokers or empirical evidence for hardening. Definitions of hardcore smoker varied substantially across studies. Hardening was not evident in the general smoking population and we found mounting evidence of softening occurring in smoking populations. These results indicate that hardening of smokers is not occurring and that calls for policy interventions on this basis should be challenged.

Comparison between success rates for smokers re-treated by a smokers' clinic and success rates for smokers treated for the first time

AIMS

To compare success rates and characteristics of smokers treated a second time by a smokers' clinic with success rates of their first treatment.

DESIGN

Retrospective cohort study.

SETTING

Tobacco Dependence Treatment clinic in Prague, Czech Republic, between 2005 and 2017.

PARTICIPANTS

A total of 5225 smokers treated either once (n = 5006, single treatment sample, SS) or also second time (n = 219, re-treated sample, RS), on average 4.47 years after the first visit.

INTERVENTION

Smokers received intensive treatment of tobacco dependence with pharmacotherapy options. Outcomes were evaluated after 1 year. In case of failure or relapse, participants could undergo re-treatment in the same setting at least 1 year after the start of the first treatment.

MEASUREMENTS

Twelve-month self-reported continuous abstinence; CO-validated (≤ 6 parts per million); number of visits; type of pharmacotherapy; mental health history; Fagerström Test for Cigarette Dependence; time between first and second treatment.

RESULTS

The abstinence rate in the SS was 34.8% [95% confidence interval (CI) = 33.4%, 36.1%] and in the RS was 37% (95% CI = 30.6%, 43.8%) and 39.7% (95% CI = 33.2%, 45.5%) for their first and second treatments, respectively. The samples were comparable on smoking and socio-demographic characteristics and pharmacotherapy used, but the RS in the second treatment had a higher prevalence of diagnosed mental health disorder at 39.3% (95% CI = 32.8%; 46.1%) compared with 23.7% (95% CI = 22.5%; 24.9%) in the SS. Participants who initiated their second quit attempt 1 to 2 years after the first one were less successful than those who initiated their second quit attempt later (25 versus 43%; P < 0.05). The results of the first treatment cycle were not found to be a reliable predictor for outcomes of the second cycle of treatment in univariate or multivariate logistic regression (odds ratio = 1.35, 95% CI = 0.70-2.63, P = 0.373).

CONCLUSION

In Prague, Czech Republic, smokers re-attending stop-smoking treatment more than 2 years after their previous quit attempt appear to achieve similar success rates to those being treated for the first time.

Does use of other tobacco products change when cigarette smoking status changes: A descriptive study of young adults

BACKGROUND

Whether polytobacco use or nicotine dependence (ND) change when cigarette smoking status changes in young adults is an understudied issue. Our objective was to describe use of other tobacco products (OTPs) and ND according to change in cigarette smoking status over four years in young adults.

METHODS

We drew data from a longitudinal study of 1294 adolescents age 12-13 at inception in 1999-2000 and followed into young adulthood. Among 790 participants with data at age 20 and 24, 22% had never smoked cigarettes; 37% were "sustained smokers"; 9% were "relapsers"; 10% had quit 1-3 years ago; and 22% had quit ≥4 years ago. We described past-year OTP (i.e., cigars/cigarillos, waterpipe, sundry tobacco products (i.e., pipe, bidis, chewing tobacco, snuff)) use and ND over 4 years in these groups.

RESULTS

At age 20, sustained smokers reported using a mean(SD) of 1.1(0.9) OTP in the past-year; relapsers reported 0.5(0.6); shorter-term quitters reported 0.9(0.7); longer-term quitters reported 0.3(0.6); and never smokers reported 0.2(0.4). There was no change in OTP use or ND in never smokers and longer-term quitters. Shorter-term quitters reduced the number of OTPs by -0.5(95% confidence interval: -0.7,-0.3) on average over 4 years; sustained smokers decreased by -0.2(-0.3,-0.1). Relapsers increased by 0.6(0.4,0.7) on average.

CONCLUSIONS

OTP use and ND were stable in early adulthood among never smokers, sustained smokers and longer-term quitters, but fluctuated in parallel with stopping and starting to smoke. Research is needed to ascertain the underpinnings of these fluctuations and whether they help or hinder cessation.

Reduction in Cigarettes per Day Prospectively Predicts Making a Quit Attempt: A Fine-Grained Secondary Analysis of a Natural History Study

INTRODUCTION

Reducing cigarettes per day (CPD) aided by medication increases quit attempts (QA) among smokers not trying to quit. If this is due to reducing CPD per se, then a greater reduction should predict making a QA.

AIMS AND METHODS

In this secondary analysis, 132 smokers completed nightly calls to report CPD, intention to quit tomorrow, and QAs over 12 weeks. We provided no treatment. We identified episodes of reduction and tested whether (1) percent reduction in CPD, (2) absolute reduction in CPD, (3) duration of reduction, or (4) CPD on the final day predicted a QA immediately after a reduction episode. We tested this separately among reduction episodes that began with and without an intention to quit.

RESULTS

Among the 1179 episodes that began without intention to quit, all four measures of reduction predicted making a QA. Greater percent reduction, longer duration, and fewer CPD on the final day were retained in a multivariate model (all p < .05). Among the 85 episodes that began with intention to quit, greater percent reduction and greater absolute reduction predicted making a QA. Only mean percent reduction was retained in a multivariate model (p < .001).

CONCLUSIONS

Our results replicate and extend earlier studies by using fine-grained analyses and examining immediately proximal QAs in a sample of self-quitters. Findings suggest that reducing CPD per se increases the probability of a QA among smokers without intention to quit in a dose-related manner. Whether this is the case among smokers who intend to quit remains unclear.

IMPLICATIONS

Reducing CPD appears to be an effective strategy to increase the probability of making a QA for the majority of smokers who do not intend to quit in the near future. However, our findings are mixed regarding the effectiveness of reducing among smokers who intend to quit. Clinical interventions and policies that promote reducing CPD are likely to be an effective way to increase QAs. Reduction may be especially helpful for smokers who have not responded to traditional advice to stop abruptly.

Distal Measurements Can Produce False Negative Results: A Prospective Secondary Analysis of a Natural History Study

INTRODUCTION

Most prospective studies of quit attempts (QAs) or abstinence measure the ability of variables to predict quitting many weeks or months later. This design ignores more proximal fluctuations in the predictor that may be more relevant. The present secondary analysis compares 6-week (distal) and daily (proximal) changes in cigarettes per day (CPD) as predictors of making a QA.

METHODS

Daily smokers reported CPD and QAs nightly throughout a 12-week natural history study. We provided no treatment. In the distal analysis, we tested whether reduction in CPD between baseline and 6 weeks predicted making a QA during the following 6 weeks. In the proximal analysis, we identified episodes of one or more days of ≥10% reduction in CPD and tested whether reduction predicted making a QA on the day immediately after the reduction episode. We tested the following predictors: (1) reduction in CPD of ≥10% (yes/no), (2) percent reduction, (3) absolute magnitude of reduction, and (4) CPD at the end of reduction.

RESULTS

In the distal analysis, reduction did not predict making a QA. In the proximal analysis, any reduction (OR = 3.0), greater percent reduction (OR = 1.6), greater absolute reduction (OR = 1.3), and fewer CPD on the final day of an episode (OR = 11.8) predicted making a QA the next day (all p < .001).

DISCUSSION

Relying on distal measurements to identify causes of a behavior may produce false-negative results. Increased use of technological advances will make assessments of the more valid proximal measurements more feasible.

IMPLICATIONS

This secondary analysis tested distal and proximal predictors of making a quit attempt among the same participants and found that distal tests did not, but proximal tests did predict quit attempts. Relying on distal measurements may result in false negatives.

Challenges in Indian Women’s Readiness to Quit Smokeless Tobacco Use

Introduction: In India, there are few cessation programs for women smokeless tobacco (SLT) users who want to quit. This paper uses Fishbein’s IM model to identify women SLT users’ challenges to quitting and multilevel correlates of “readiness to quit”. Methods: A survey of SLT use among women of reproductive age was conducted in 2010-13 in an urban slum community of Mumbai with a representative sample of 409 married women aged 18 to 40 years using at least one type of SLT daily. Data were analyzed using frequencies, bivariate statistics and logistic regression. Results: Social influences to continue SLT use included husband’s use (71%), family influence and positive beliefs and norms about use. Pressure to quit from significant others influenced past quit attempts but media had no effect on reported behavior. Four groups represented different readiness to quit statues based on intention to quit and past quit/reduce attempts. Seventeen percent had no intention of quitting or reducing; their husbands were more likely to be tobacco users. Half of (52%) the sample had attempted to quit/reduce tobacco and intended to do so in the future. These women were depressed. Fifteen percent had tried to quit but did not intend to again. Correlates were positive beliefs and norms about SLT and withdrawal symptoms. Conclusions: Cessation programs should be made available to women, addressing correlates of women’s readiness to quit statuses. Results suggest the need for more complex social/contextual approaches to sustained cessation of SLT use including addressing depression and withdrawal, improved media messages and campaigns tailored to women, and support from family members.

Cigarette, waterpipe and e-cigarette use among an international sample of medical students. Cross-sectional multicenter study in Germany and Hungary

Background

Tobacco use is the leading preventable cause of death worldwide. Besides cigarette smoking, waterpipe and e-cigarettes are gaining popularity among young adults. Medical students’ smoking behavior is of particular interest because of their impending role in health promotion as future physicians. Aim of our study is to examine the prevalence and predictors of cigarette, waterpipe and e-cigarette use and the association of tobacco use with self-reported health status in an international sample of medical students.

Methods

In a multicenter cross-sectional study data on different aspects of health behavior were collected from medical students of 65 nationalities using a self-administered questionnaire in Germany (Dresden, Munich) and Hungary (Budapest, Pécs). The survey was conducted among 1st, 3rd and 5th year students. To explore associations between smoking behavior and socio-cultural factors Pearson’s chi²-tests and multivariate binary logistic regression analyses were performed.

Results

The largest subpopulations were formed by German (n = 1289), Hungarian (n = 1055) and Norwegian (n = 147) students. Mean age was 22.5 ± 3.3 years. Females represented 61.6% of the sample. In the whole sample prevalence of cigarette smoking was 18.0% (95% CI 16.6–19.4%), prevalence of waterpipe use was 4.8% (95% CI 4.0–5.7%), that of e-cigarette 0.9% (95% CI 0.5–1.2%). More males (22.0%) than females (15.5%) reported cigarette smoking. The lowest prevalence of cigarette smoking was found among Norwegian students (6.2%). Cigarette smokers were older, waterpipe users were younger than non-users. E-cigarette use was not associated with age of the students. Religious involvement was protective only against cigarette smoking. Financial situation showed no association with any kind of tobacco consumption. Cigarette smokers and e-cigarette users were less likely to report very good or excellent health status.

Conclusions

Cigarette smoking is still the most popular way of consuming tobacco, although alternative tobacco use is also prevalent among medical students. To further health consciousness, medical schools should pay more attention to students’ health behavior, especially their smoking habits. Tobacco prevention and cessation programs for medical students should consider not only the health risks of cigarette smoking but the need to discourage other forms of tobacco use, such as waterpipe.

The association between the nature of the goal committed to and quitting smoking

Commitments to goals are theorized to affect behavior change outcomes, but competing theories argue for hard to achieve goals and strategic sub-goals as optimum strategies for success. This study aimed to explore whether the nature of the goal affects smoking cessation outcomes. A total of 1043 participants in a randomized controlled trial of variations to an automated computer generated cessation advice program, who had made a quit attempt were asked at 1 month post quit about the initial goal they had set at the time of making the attempt. They were also followed up at 6 months post quit. Compared with those reporting 'seeing how it will go', those who reported the goal of 'taking it a cigarette at a time' were less likely to be quit at 1 month, while those with the most ambitious goal, to 'never smoke again', were more likely to be quit, and were more likely to maintain abstinence for 6 months. Indeed, 'taking it a cigarette at a time' was associated with greater short-term relapse. There is likely to be a benefit in encouraging smokers to set ambitious long-term goals rather than setting intermediate or non-specific goals.

Offering smoking treatment to primary care patients in two Wisconsin healthcare systems: Who chooses smoking reduction versus cessation?

Smokers unwilling to make a quit attempt can still benefit from smoking intervention. However, it is unclear what proportion of smokers will enter such a Motivation phase intervention, and whether such an intervention attracts different types of smokers than does abstinence oriented treatment. We conducted a study from June 2010 to October 2013 based on a chronic care model of tobacco treatment among study eligible primary care patients (N=1579; 58% women, 89% White) presenting for regular health care visits in southern Wisconsin, U.S. Medical assistants, prompted via the electronic health record (EHR), invited smokers (n=10,242) to learn more about treatment options to help them either reduce their smoking or quit. Of those invited to learn more who were then reached by study staff, 10.2% (n=1046) reported interest in reduction treatment and 24% (n=2465) reported interest in cessation treatment. Patients who selected and ultimately entered reduction (n=492) versus cessation (n=1087) were more likely to report: older age; a history of anxiety; lower motivation to quit; lower primary dependence motives; more close friends or family who smoke; and a greater interval since their last quit attempt. Results suggest that Motivation phase treatment aimed at smoking reduction may increase the proportion and range of smokers inducted into tobacco treatment.

Determinants of smoking cessation and abstinence in a Russian smoking-cessation center

INTRODUCTION

Smoking prevalence in Russia is one of the highest in the world. It leads to significant damage to the National Health Service. The purpose of the present research was to assess the effectiveness of a qualified smoking-cessation (SC) center in Moscow, and to identify the main determinants of smoking cessation.

METHODS

The subjects of this study were a cohort of smokers (n=524) who had attended the SC service in Moscow between 2012-2015. They were followed, for at least 6 months after receiving the professional counselling in smoking cessation, to assess the results of the assistance and to identify determinants of successful smoking cessation.

RESULTS

Of the smokers, 19% succeeded in reducing by more than half the number of smoked cigarettes, more than 46% of patients completely stopped smoking for different terms: 38% for more than a month and 24% for more than half a year. Odds ratios (ORs) indicated that the probability of successful smoking cessation significantly increased if there was a previous success in smoking cessation: OR 3.71 (95% CI 1.70-8.12); and if there was a high level of motivation to stop smoking OR 4.3 (95% CI 1.92-5.61). The probability of successful smoking cessation decreased with intensity of smoking > 10 cigarettes a day: OR 0.57 (95% CI 0.31-1.02); and an elevated (>7 points) Fagerström-test score OR 0.64 (95% CI 0.37-1.07).

CONCLUSIONS

Degree of motivation and willingness to quit smoking were the principal determinants of the effectiveness in the attempt to quit smoking within our study cohort.

A longitudinal study of the reciprocal relationship between ever smoking and urgency in early adolescence

BACKGROUND

Among early adolescents in the United States (U.S.), the prevalence of cigarette smoking is at its lowest level in recent decades. Nonetheless, given the risks of smoking in early development, it remains critically important to study both risk factors for smoking and risks from smoking. This longitudinal study with U.S. early adolescents examines smoking initiation and tests a model of reciprocal prediction between ever smoking and the personality trait of urgency (i.e., mood-based impulsivity), a trait that increases risk for multiple forms of dysfunction.

METHODS

Participants (n=1906; 90% 10-11 years old, 50% female, 39% racial minorities at baseline) completed questionnaires 1-2 times per year starting in 5th grade and ending in 9th grade. Structural equation modeling allowed tests of bidirectional relationships between ever smoking and urgency controlling for pubertal status and negative affect at each wave.

RESULTS

Incidence of ever smoking increased from 5% to 27% over time, with current smoking around 5% at the last wave. Urgency at each wave predicted ever smoking at the next wave above and beyond covariates and prior smoking (all p<0.01). Likewise, with one exception, ever smoking predicted an increase in urgency at the subsequent wave above and beyond covariates and prior urgency (all p<0.05).

CONCLUSION

Results show that risk for smoking increases with higher levels of urgency and urgency increases secondary to engagement in smoking. Future work should therefore explore urgency as a point of prevention for smoking and smoking cessation as a means to mitigate mood-based impulsivity.

Effectiveness of Switching Smoking-Cessation Medications Following Relapse

INTRODUCTION

Nicotine dependence is a chronic disorder often characterized by multiple failed quit attempts (QAs). Yet, little is known about the sequence of methods used across multiple QAs or how this may impact future ability to abstain from smoking. This prospective cohort study examines the effectiveness of switching smoking-cessation medications (SCMs) across multiple QAs.

METHODS

Adult smokers (aged ≥18 years) participating in International Tobacco Control surveys in the United Kingdom, U.S., Canada, and Australia (N=795) who: (1) completed two consecutive surveys between 2006 and 2011; (2) initiated a QA at least 1 month before each survey; and (3) provided data for the primary predictor (SCM use during most recent QA), outcome (1-month point prevalence abstinence), and relevant covariates. Analyses were conducted in 2016.

RESULTS

Five SCM user classifications were identified: (1) non-users (43.5%); (2) early users (SCM used for initial, but not subsequent QA; 11.4%); (3) later users (SCM used for subsequent, but not initial QA; 18.4%); (4) repeaters (same SCM used for both QAs; 10.7%); and (5) switchers (different SCM used for each QA; 14.2%). Abstinence rates were lower for non-users (15.9%, OR=0.48, p=0.002), early users (16.6%, OR=0.27, p=0.03), and repeaters (12.4%, OR=0.36, p=0.004) relative to switchers (28.5%).

CONCLUSIONS

Findings suggest smokers will be more successful if they use a SCM in QAs and vary the SCM they use across time. That smokers can increase their odds of quitting by switching SCMs is an important message that could be communicated to smokers.

Development and initial validation of a cessation fatigue scale

BACKGROUND

Smoking cessation fatigue, or tiredness of attempting to quit smoking, has been posited as a latent construct encompassing loss of motivation, loss of hope in cessation success, decreased self-efficacy, and exhaustion of self-control resources. Despite the potential clinical impact of characterizing cessation fatigue, there is currently no validated measure to assess it. Using a rational scale development approach, we developed a cessation fatigue measure and examined its reliability and construct validity in relation to a) smokers' experience of a recently failed quit attempt (QA) and b) readiness to engage in a subsequent QA.

METHODS

Data were drawn from an online cross-sectional survey of 484 smokers who relapsed from a QA within the past 30days.

RESULTS

Exploratory factor analysis identified three factors within the 17-item Cessation Fatigue Scale (CFS), which we labeled: emotional exhaustion, pessimism, and devaluation. High internal consistency was observed for each factor and across the full scale. As expected, CFS overall was positively associated with withdrawal severity and difficulty quitting. CFS was negatively associated with previously validated measures of intention to quit, self-efficacy, and abstinence-related motivational engagement, even after adjusting for nicotine dependence.

CONCLUSIONS

Findings provide initial validation for a new tool to assess cessation fatigue and contribute needed information on a theory-driven component of cessation-related motivation and relapse risk.

Self-control depletion and nicotine deprivation as precipitants of smoking cessation failure: A human laboratory model

OBJECTIVE

The need to understand potential precipitants of smoking relapse is exemplified by relapse rates as high as 95%. The Self-Control Strength model, which proposes that self-control is dependent upon limited resources and susceptible to fatigue, may offer insight into relapse processes. The current study tested the hypothesis that self-control depletion (SCD), produced from engagement in emotional suppression, would serve as a novel antecedent for cessation failure, as indexed by a validated laboratory analogue of smoking lapse and relapse. We also examined whether SCD effects interacted with those of a well-established relapse precipitant (i.e., nicotine deprivation). Craving and behavioral economic indices (delay discounting and demand) were tested as hypothesized mechanisms for increased cessation failure. Ultimately, a moderated mediation model was used to test nicotine deprivation as a hypothesized moderator of SCD effects.

METHOD

We used a 2 × 2 (12-hr deprivation vs. no deprivation; SCD vs. no SCD) factorial between-subjects design (N = 128 smokers).

RESULTS

The primary hypothesis of the study was supported, as SCD increased lapse behavior (p = .04). Nicotine deprivation significantly increased craving, cigarette demand, delay discounting, and lapse behavior. No main effects were found for SCD on putative mediators (i.e., craving, demand, and discounting), but the SCD and deprivation manipulations interacted upon craving (p = .04). The moderated mediation model was significant. SCD was found to increase craving among nicotine deprived smokers, which mediated effects on lapse behavior.

CONCLUSIONS

SCD appears to play an important role in smoking relapse and may be a viable target for intervention. (PsycINFO Database Record

Maintenance of tobacco withdrawal by former smokers: a phenomenological study

OBJECTIVE To understand the experience of former smokers maintaining tobacco abstinence. METHODS Qualitative research using the theoretical-methodological reference of the Social Phenomenology, as defined by Alfred Schütz. The phenomenological interview was carried out in 2016 with 12 former smokers from a city in the state of Minas Gerais, Brazil. The statements were organized into categories and discussed based on the literature. RESULTS The maintenance of tobacco abstinence was revealed in the categories: "Health, sociability, and financial gains"; "Living with the urge to smoke and with the increase of body weight"; "Self-determination and use of replacement strategies"; and "Staying away from cigarettes." CONCLUSIONS These results alert health professionals to the need to provide support to former smokers so they can remain smoke-free. This implies considering not only the negative effects of the tobacco abstinence, but also the social context in which former smokers are inserted that might have an impact on the maintenance or not of the cigarette withdrawal.

Depression motivates quit attempts but predicts relapse: differential findings for gender from the International Tobacco Control Study

AIMS

To determine whether signs of current depression predict attempts to quit smoking, and short-term abstinence among those who try, and to test moderating effects of gender and cessation support (pharmacological and behavioural).

DESIGN

Prospective cohort with approximately annual waves. Among smokers at one wave we assessed outcomes at the next wave using mixed-effects logistic regressions.

SETTING

Waves 5-8 of the Four Country International Tobacco Control Study: a quasi-experimental cohort study of smokers from Canada, USA, UK and Australia.

PARTICIPANTS

A total of 6811 tobacco smokers who participated in telephone surveys.

MEASUREMENTS

Three-level depression index: (1) neither low positive affect (LPA) nor negative affect (NA) in the last 4 weeks; (2) LPA and/or NA but not diagnosed with depression in the last 12 months; and (3) diagnosed with depression. Outcomes were quit attempts and 1-month abstinence among attempters.

FINDINGS

Depression positively predicted quit attempts, but not after controlling for quitting history and motivational variables. Controlling for all covariates, depression consistently negatively predicted abstinence. Cessation support did not moderate this effect. There was a significant interaction with gender for quit attempts (P = 0.018) and abstinence (P = 0.049) after controlling for demographics, but not after all covariates. Depression did not predict abstinence among men. Among women, depressive symptoms [odds ratio (OR) = 0.63, 95% confidence interval (CI) = 0.49-0.81] and diagnosis (OR = 0.46, 95% CI = 0.34-0.63) negatively predicted abstinence.

CONCLUSIONS

Smokers with depressive symptoms or diagnosis make more quit attempts than their non-depressed counterparts, which may be explained by higher motivation to quit, but they are also more likely to relapse in the first month. These findings are stronger in women than men.

Estimating the number of quit attempts it takes to quit smoking successfully in a longitudinal cohort of smokers

OBJECTIVES

The number of quit attempts it takes a smoker to quit successfully is a commonly reported figure among smoking cessation programmes, but previous estimates have been based on lifetime recall in cross-sectional samples of successful quitters only. The purpose of this study is to improve the estimate of number of quit attempts prior to quitting successfully.

DESIGN

We used data from 1277 participants who had made an attempt to quit smoking in the Ontario Tobacco Survey, a longitudinal survey of smokers followed every 6 months for up to 3 years beginning in 2005. We calculated the number of quit attempts prior to quitting successfully under four different sets of assumptions. Our expected best set of assumptions incorporated a life table approach accounting for the declining success rates for subsequent observed quit attempts in the cohort.

RESULTS

The estimated average number of quit attempts expected before quitting successfully ranged from 6.1 under the assumptions consistent with prior research, 19.6 using a constant rate approach, 29.6 using the method with the expected lowest bias, to 142 using an approach including previous recall history.

CONCLUSIONS

Previous estimates of number of quit attempts required to quit may be underestimating the average number of attempts as these estimates excluded smokers who have greater difficulty quitting and relied on lifetime recall of number of attempts. Understanding that for many smokers it may take 30 or more quit attempts before being successful may assist with clinical expectations.

Crave-Out: A Distraction/Motivation Mobile Game to Assist in Smoking Cessation

Background

Smoking is still the number one preventable cause of death. Cravings—an intense desire or longing for a cigarette—are a major contributor to quit attempt failure. New tools to help smokers’ manage their cravings are needed.

Objective

To present a case study of the development process and testing of a distraction/motivation game (Crave-Out) to help manage cravings.

Methods

We used a phased approach: in Phase 1 (alpha testing), we tested and refined the game concept, using a Web-based prototype. In Phase 2 (beta testing), we evaluated the distraction/motivation potential of the mobile game prototype, using a prepost design. After varying duration of abstinence, smokers completed the Questionnaire of Smoking Urge-Brief (QSU-Brief) measurement before and after playing Crave-Out. Paired t tests were used to compare pregame and postgame QSU-Brief levels. To test dissemination potential, we released the game on the Apple iTunes App Store and tracked downloads between December 22, 2011, and May 5, 2014.

Results

Our concept refinement resulted in a multilevel, pattern memory challenge game, with each level increasing in difficulty. Smokers could play the game as long as they wanted. At the end of each level, smokers were provided clear goals for the next level and rewards (positive reinforcement using motivational tokens that represented a benefit of quitting smoking). Negative reinforcement was removed in alpha testing as smokers felt it reminded them of smoking. Measurement of QSU-Brief (N=30) resulted in a pregame mean of 3.24 (SD 1.65) and postgame mean of 2.99 (SD 1.40) with an overall decrease of 0.25 in cravings (not statistically significant). In a subset analysis, the QSU-Brief decrease was significant for smokers abstinent for more than 48 hours (N=5) with a pregame mean of 2.84 (SD 1.16) and a postgame mean of 2.0 (SD 0.94; change=0.84; P =.03). Between December 22, 2011, and May 29, 2014, the game was downloaded 3372 times from the App-Store, with 1526 smokers visiting the online resource www.decide2quit.org linked to the game.

Conclusions

Overall, playing the game resulted in small, but nonsignificant decreases in cravings, with changes greater for those had already quit for more than 48 hours. Lessons learned can inform further development. Future research could incorporate mHealth games in multicomponent cessation interventions.

Trial Registration

Clinicaltrials.gov NCT00797628; https://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/6hbJr6LWG)

Rates and predictors of renewed quitting after relapse during a one-year follow-up among primary care patients

BACKGROUND

Most people who quit smoking relapse within a year of quitting. Little is known about what prompts renewed quitting after relapse or how often this results in abstinence.

PURPOSE

This study seeks to identify rates, efficacy, and predictors of renewed quit attempts after relapse during a 1-year follow-up.

METHODS

Primary care patients in a comparative effectiveness trial of smoking cessation pharmacotherapies reported daily smoking every 6-12 weeks for 12 months to determine relapse, renewed quitting, and 12-month abstinence rates.

RESULTS

Of 894 known relapsers, 291 (33%) renewed quitting for at least 24 h, and 99 (34%) of these were abstinent at follow-up. The average latency to renewed quitting was 106 days and longer latencies predicted greater success. Renewed quitting was more likely for older, male, less dependent smokers, and later abstinence was predicted by fewer depressive symptoms and longer past abstinence.

CONCLUSIONS

Renewed quitting is common and produces meaningful levels of cessation.

Predictors of Successful Quitting among Thai Adult Smokers: Evidence from ITC-SEA (Thailand) Survey

This study uses longitudinal data from the International Tobacco Control Southeast Asia (ITC-SEA Thailand) survey to explore patterns and predictors of successful quitting among Thai adult smokers as a function of time quit. A cohort of a representative sample of 2000 smokers was surveyed four times from 2005 to 2009. A sample of 1533 individuals provided data for at least one of the reported analyses. Over the four years of follow-up, 97% made attempts to quit. Outcomes were successful quitting/relapse: (a) quit attempts of at least one month (short-term relapse, 43%) (57% remaining quit); (b) surviving at least six months (medium-term) (31%); (c) relapse between one and six months (45%); (d) having continuously quit between Waves 3 and 4 (sustained abstinence) (14%); and (e) relapse from six months on (44%) compared to those who continuously quit between Waves 3 and 4 (56%). Predictors for early relapse (<1 month) differ from longer-term relapse. Age was associated with reduced relapse over all three periods, and was much stronger for longer periods of abstinence. Cigarette consumption predicted relapse for short and medium terms. Self-assessed addiction was predictive of early relapse, but reversed to predict abstinence beyond six months. Previous quit history of more than one week was predictive of early abstinence, but became unrelated subsequently. Self-efficacy was strongly predictive of abstinence in the first month but was associated with relapse thereafter. Some determinants of relapse change with time quit, but this may be in somewhat different to patterns found in the West.

Do environmental cues prompt attempts to stop smoking? A prospective natural history study

INTRODUCTION

We prospectively tested whether environmental cues prompts attempts to stop smoking.

METHODS

We recruited 134 smokers who intended to quit in the next 3 months to complete nightly calls to report cues as well as smoking status, intentions to smoke or not on the next day, and quit attempts over 12 weeks. We provided no treatment.

RESULTS

Participants averaged 6.5 cues/week. The most common cues were embarrassment, cost of cigarettes and messages in the media. The number of cues over a 7-day period predicted the incidence of a quit attempt on the eighth day (e.g. from 1.5% when no cues occurred to 3% when 7 cues occurred during the 7 days). This effect was dose-dependent and was due to both between and within-subject predictors. Five cues predicted quit attempts. A cue that made smokers concerned about the cost of cigarettes appeared to be the strongest cue. Cues on the day prior were not more powerful predictors than more distal cues. Intention to not smoke the next day on the evening prior to the eighth day was a partial mediator of the effect of cues on quit attempts. Retrospective recall of cues was poor.

CONCLUSIONS

Our results suggest the occurrence of cues may be a cause of quit attempts and that programs to increase the frequency of cues may increase quit attempts. Further research should examine whether environmental cues and introspective states (e.g. self-efficacy) interact to prompt quit attempts.

Smoking cessation outcomes of referral to a specialist hospital outpatient clinic

BACKGROUND AND OBJECTIVES

Hospital visits are an opportunity to engage smokers in tobacco treatment. However, little is known about engagement in follow-up referrals. The purpose of this study is to report the rates of program engagement and smoking cessation outcomes of patients referred to a specialist outpatient tobacco treatment program after a hospital visit or other referral.

METHODS

A retrospective chart review was used to examine the outcomes of 486 participants referred to a hospital-based smoking cessation clinic provided by tobacco treatment specialists. Referral sources, demographics and smoking, medical, psychiatric, and substance use history were obtained. The main outcomes of interest were engagement in the program and 7-day point-prevalence of smoking abstinence.

RESULTS

Sixty-eight percent of participants who were referred to the program were considered "engaged," of which 70% were from hospitals, 4% from community programs, 11% were from general practitioners, and 16% were self-referrals. Thirty-percent (98/331) of engagers were abstinent by time of chart review (30% from the hospital, 8% from community programs, 19% from general practitioners, and 39% of self-referrals). Having quit for 1 month or longer at the past quit attempt, greater confidence in quitting smoking, lower expired carbon monoxide levels at baseline, and greater duration in the program were significant predictors of successful smoking cessation.

DISCUSSION AND CONCLUSION

Providing tobacco treatment follow-up and referral for smokers after a hospital visit is important to enhance smoking cessation efforts.

SCIENTIFIC SIGNIFICANCE

Referral to evidence-based tobacco treatment after hospital visits is effective. Models of tobacco treatment based on sources of referral should further be explored.

Paths to tobacco abstinence: A repeated-measures latent class analysis

OBJECTIVE

Knowledge of smoking change processes may be enhanced by identifying pathways to stable abstinence. We sought to identify latent classes of smokers based on their day-to-day smoking status in the first weeks of a cessation attempt. We examined treatment effects on class membership and compared classes on baseline individual differences and 6-month abstinence rates.

METHOD

In this secondary analysis of a double-blind randomized placebo-controlled clinical trial (N = 1,433) of 5 smoking cessation pharmacotherapies (nicotine patch, nicotine lozenge, bupropion SR, patch and lozenge, or bupropion SR and lozenge), we conducted repeated-measures latent class analysis of daily smoking status (any smoking vs. none) for the first 27 days of a quit attempt. Treatment and covariate relations with latent class membership were examined. Distal outcome analysis compared confirmed 6-month abstinence rates among the latent classes.

RESULTS

A 5-class solution was selected. Three-quarters of smokers were in stable smoking or abstinent classes, but 25% were in classes with unstable abstinence probabilities over time. Active treatment (compared to placebo), and particularly the patch and lozenge combination, promoted early quitting. Latent classes differed in 6-month abstinence rates and on several baseline variables, including nicotine dependence, quitting history, self-efficacy, sleep disturbance, and minority status.

CONCLUSIONS

Repeated-measures latent class analysis identified latent classes of smoking change patterns affected by treatment, related to known risk factors, and predictive of distal outcomes. Tracking behavior early in a change attempt may identify prognostic patterns of change and facilitate adaptive treatment planning.

Quitting activity and tobacco brand switching: findings from the ITC-4 Country Survey

OBJECTIVE

Among Australian smokers, to examine associations between cigarette brand switching, quitting activity and possible causal directions by lagging the relationships in different directions.

METHODS

Current smokers from nine waves (2002 to early 2012) of the ITC-4 Country Survey Australian dataset were surveyed. Measures were brand switching, both brand family and product type (roll-your-own versus factory-made cigarettes) reported in adjacent waves, interest in quitting, recent quit attempts, and one month sustained abstinence.

RESULTS

Switching at one interval was unrelated to concurrent quit interest. Quit interest predicted switching at the following interval, but the effect disappeared once subsequent quit attempts were controlled for. Recent quit attempts more strongly predicted switching at concurrent (OR 1.34, 95%CI=1.18-1.52, p<0.001) and subsequent intervals (OR 1.31, 95%CI=1.12-1.53, p=0.001) than switching predicted quit attempts, with greater asymmetry when both types of switching were combined. One month sustained abstinence and switching were unrelated in the same interval; however, after controlling for concurrent switching and excluding type switchers, sustained abstinence predicted lower chance of switching at the following interval (OR=0.66, 95%CI=0.47-0.93, p=0.016).

CONCLUSIONS

The asymmetry suggests brand switching does not affect subsequent quitting.

IMPLICATIONS

Brand switching does not appear to interfere with quitting.

Short-term changes in quitting-related cognitions and behaviours after the implementation of plain packaging with larger health warnings: findings from a national cohort study with Australian adult smokers

BACKGROUND

Plain packaging (PP) with larger graphic health warnings (GHWs) was implemented in Australia in late 2012. This study examined effects of these packaging changes on short-term changes in quitting-related cognitions and behaviours.

METHODS

We used a series of cohorts of Australian adult cigarette smokers originally sourced from a nationally representative cross-sectional tracking survey, followed up approximately 1 month after their baseline interview (n(weighted)=5441). Logistic regression analyses compared changes in seven quitting-related outcomes over this 1-month follow-up period for the cohorts surveyed before PP, over the period of transition to PP, and during the first year of PP, adjusting for baseline levels of the outcome and covariates.

RESULTS

Compared to the referent group of smokers who completed their follow-up survey pre-PP, those who were followed-up in the early transition period showed significantly greater increases in rates of stopping themselves from smoking (OR=1.51, 95% CI (1.08 to 2.10)) and higher quit attempt rates (OR=1.43, 95% CI (1.00 to 2.03)), those followed-up in the late transition period showed greater increases in intentions to quit (OR=1.42, 95% CI (1.06 to 1.92)) and pack concealment (OR=1.55, 95% CI (1.05 to 2.31)), and those followed-up in the first year of PP showed higher levels of pack concealment (OR=1.65, 95% CI (1.01 to 2.72)), more premature stubbing out of cigarettes (OR=1.55, 95% CI (1.01 to 2.36)), and higher quit attempt rates (OR=1.52, 95% CI (1.01 to 2.30)).

CONCLUSIONS

These findings provide some of the strongest evidence to date that implementation of PP with larger GHWs was associated with increased rates of quitting cognitions, microindicators of concern and quit attempts among adult cigarette smokers.

Associations between use of pharmacological aids in a smoking cessation attempt and subsequent quitting activity: a population study

BACKGROUND AND AIMS

Modelling the population impact and cost-effectiveness of smoking cessation aids is limited by lack of knowledge about how the use of aids changes across quit attempts. Here we test whether the quit method used in a previous attempt influences (i) future decisions to quit and/or (ii) treatment/s used during subsequent attempts.

DESIGN AND SETTING

Data came from the Smoking Toolkit Study, a United Kingdom national household survey.

PARTICIPANTS AND MEASURES

Smokers (n = 5489) who completed a baseline and 6-month follow-up questionnaire. Respondents were asked what treatment/s, grouped as: prescription medication/s [bupropion, varenicline or nicotine replacement therapy (NRT)], over-the-counter NRT or unaided that they had used in their most recent quit attempt (at baseline), and any use of treatment/s for a quit attempt in the last 3 months at follow-up.

RESULTS

Smokers who had tried to quit at baseline were more likely to report having tried to quit again prior to follow-up [all odds ratios ≥ 2.19 relative to no attempt at baseline, P < 0.001]. Smokers who tried to quit using pharmacological aids were more likely to try to quit again at follow-up (all ORs ≥ 2.19 relative to no attempt at baseline, P < 0.001). Smokers tended to re-try aids used in baseline attempts in future attempts (all ORs ≥ 1.48 relative to no attempt at baseline, P < 0.01).

CONCLUSIONS

Smokers who have tried to quit in the past year are more likely to try to quit again within 6 months regardless of whether they used a pharmacological aid, and they are more likely to re-try aids they had used previously.

Are quitting-related cognitions and behaviours predicted by proximal responses to plain packaging with larger health warnings? Findings from a national cohort study with Australian adult smokers

Background

Implementation of tobacco plain packaging (PP) with larger graphic health warnings (GHWs) in Australia had positive effects on responses reflecting the specific objectives of the PP policy and on follow-up quitting-related cognitions and behaviours. The aim of this study was to examine predictive relationships between these proximal and distal outcomes.

Methods

A nationally representative sample of Australian adult cigarette smokers completed a baseline survey and a 1-month follow-up survey within the first year of policy implementation (n(weighted)=3125). Logistic regression analyses tested whether baseline measures of cigarette appeal, GHW effectiveness, perceived harm and concern/enjoyment predicted each of seven follow-up measures of quitting-related cognitions and behaviours, adjusting for baseline levels of the outcome and covariates.

Results

In multivariable models, we found consistent evidence that several baseline measures of GHW effectiveness positively and significantly predicted the likelihood that smokers at follow-up reported thinking about quitting at least daily, intending to quit, having a firm date to quit, stubbing out cigarettes prematurely, stopping oneself from smoking and having attempted to quit. Two of the quitting-related outcomes were also predicted by feeling more smoking-related concern than enjoyment. A smaller number of the appeal variables were prospectively associated with quitting-related outcomes, while believing that brands do not differ in harmfulness did not positively predict any outcomes.

Conclusions

These findings provide an initial insight into the pathways through which PP with larger GHWs may lead to changes in smoking behaviour. Future research should examine whether the effects are conditional on individual demographic and smoking characteristics.

A mechanistic test of nicotine replacement therapy sampling for smoking cessation induction

Studies that explore the mechanisms of treatment effect are needed in the area of smoking cessation induction, the primary goal of which is to promote the occurrence of a quit attempt among individuals who report little interest in smoking cessation. This study tested the mediational effect of 5 psychological variables (motivation to quit, abstinence self-efficacy, knowledge of nicotine replacement therapy (NRT), and both positive and negative attitudes toward NRT) on the relationship between NRT sampling and smoking outcomes. Adults who reported low levels of intention to quit in the next month (n = 593) were recruited for a nationwide randomized clinical trial of NRT sampling. Participants provided self-report data via telephone interview on multiple occasions, with the final follow-up at 6 months. Motivation to quit, and to a lesser degree, abstinence self-efficacy at the end of the 6-week intervention best accounted for the effect of NRT sampling as a promoter of quit attempts, smoking reduction, and 7-day point prevalence abstinence. Providing smokers with free NRT samples, in addition to encouraging them to engage in temporary abstinence, results in meaningful change in motivation and self-efficacy, which in turn influence smoking outcomes. Cessation induction interventions should aim to increase motivation to quit and abstinence self-efficacy, above and beyond any efforts to increase knowledge or prompt attitudinal shifts. (PsycINFO Database Record

Predictors of Relapse Following Treatment of Trichotillomania

OBJECTIVE

This study sought to identify predictors of relapse in a behavior therapy trial for trichotillomania (TTM), or hair-pulling disorder. Relapse is common after treatment for TTM, and only a few studies have examined what might predict relapse.

METHOD

Data was examined from a TTM treatment study with a stepped-care approach (step 1. web-based self-help; step 2. individual behavior therapy) (N = 60). Implications of significant predictive relations were illustrated by constructing Probability of Treatment Benefit (PTB) charts (Lindhiem, Kolko, & Cheng, 2012), which quantify the probability of maintaining gains according to predictors of maintenance.

RESULTS

Abstinence at the conclusion of treatment and lower TTM severity during initial response significantly predicted maintenance. Abstinence periods prior to treatment, residual urges after achieving abstinence, pre-treatment TTM severity, intrinsic motivation, and treatment compliance did not predict maintenance.

CONCLUSIONS

Post-treatment abstinence and lower TTM severity during initial response predicted maintenance. Replications of this research are needed to determine the usefulness of these possible predictors in identifying relapse-prone patients, with the aim of improving clinical decision-making and developing strategies to help these patients better maintain gains. This is the first TTM study to use PTB charts, which can help clarify the meaning of prognostic analyses.

Natural history of attempts to stop smoking

INTRODUCTION

This study provides a prospective fine-grain description of the incidence and pattern of intentions to quit, quit attempts, abstinence, and reduction in order to address several clinical questions about self-quitting.

METHODS

A total of 152 smokers who planned to quit in the next 3 months called nightly for 12 weeks to an Interactive Voice Response system to report cigarettes/day, quit attempts, intentions to smoke or not in the next day, and so forth. No treatment was provided.

RESULTS

Most smokers (60%) made multiple transitions among smoking, reduction, and abstinence. Intention to not smoke or quit often did not result in a quit attempt but were still strong predictors of a quit attempt and eventual abstinence. Most quit attempts (79%) lasted less than 1 day; about one fifth (18%) of the participants were abstinent at 12 weeks. The majority of quit attempts (72%) were not preceded by an intention to quit. Such quit attempts were shorter than quit attempts preceded by an intention to quit (<1 day vs. 25 days). Most smokers (67%) used a treatment, and use of a treatment was nonsignificantly associated with greater abstinence (14 days vs. 3 days). Making a quit attempt and failing early predicted an increased probability of a later quit attempt compared to not making a quit attempt early (86% vs. 67%). Smokers often (17%) failed to report brief quit attempts on an end-of-study survey.

CONCLUSIONS

Cessation is a more chronic, complex, and dynamic process than many theories or treatments assume.

Reported planning before and after quitting and quit success: retrospective data from the ITC 4-Country Survey

Planning before quitting smoking is widely believed to be beneficial and is usually recommended in cessation counseling, but there is little evidence on the efficacy of specific planning activities. Using data from 1140 respondents who reported quit attempts at Wave 8 of the ITC 4-Country Survey, we analyzed use of 8 specific planning strategies before (5) and after (3) implementation of a quit attempt, in relation to cessation outcomes, delay in implementation of the attempt, and recent quitting history. Most participants reported some planning both before and after quitting, even among those reporting quitting 'spontaneously.' Younger smokers, those who cut down before quitting, and users of stop-smoking medication were more likely to report planning. Those who planned prequit were also more likely to plan postquit. Unexpectedly, we found no clear benefit of planning on short-term (1 month) cessation outcomes, whereas one prequit strategy (practicing not smoking) was negatively related to outcome. There was evidence for a predicted moderating effect of recent quitting experience on planning for the prequit task 'practice replacement strategies.' This predicted quit success among those with multiple quit attempts in the past year, but failure among those without. This finding suggests that the quality of planning may be critical. More research, particularly on the moderating effect of quit experience, and where measures of planning are collected before outcomes become evident, is needed before clear recommendations can be made on the utility of various forms of planning for the success of quit attempts.

The predictive utility of micro indicators of concern about smoking: findings from the International Tobacco Control Four Country study

This study explored the association between six "micro indicators" of concern about smoking (1. stubbing out cigarettes before finishing; 2. forgoing cigarettes due to packet warning labels; thinking about... 3. the harms to oneself of smoking; 4. the harms to others of one's smoking; 5. the bad conduct of tobacco companies; and 6. money spent on cigarettes) and cessation outcomes (making quit attempts, and achieving at least six months of sustained abstinence) among adult smokers from Australia, Canada, the United Kingdom, and the United States of America. Participants were 12,049 individuals from five survey waves of the International Tobacco Control Four Country Survey (interviewed between 2002 and 2006, and followed-up approximately one year later). Generalized estimating equation logistic regression analysis was used, enabling us to control for within-participant correlations due to possible multiple responses by the same individual over different survey waves. The frequency of micro indicators predicted making quit attempts, with premature stubbing out, forgoing, and thinking about the harms to oneself of smoking being particularly strong predictors. An interaction effect with expressed intention to quit was observed, such that stubbing out and thinking about the harms on oneself predicted quit attempts more strongly among smokers with no expressed plans to quit. In contrast, there was a negative association between some micro indicators and sustained abstinence, with more frequent stubbing out, forgoing, and thinking about money spent on cigarettes associated with a reduced likelihood of subsequently achieving sustained abstinence. In countries with long-established tobacco control programs, micro indicators index both high motivation by smokers to do something about their smoking at least partly independent of espoused intention and, especially those indicators not part of a direct pathway to quitting, reduced capacity to quit successfully.