Relapse prevention interventions for smoking cessation

Clinical practice guideline: evidence, recommendations and algorithm for the preoperative optimization of anemia, hyperglycemia and smoking

Preoperative optimization has not been explored comprehensively in the surgical literature, as this responsibility has often been divided among surgery, anesthesia and medicine. We developed an evidence-based clinical practice guideline to summarize existing evidence and present diagnostic and treatment algorithms for use by surgeons caring for patients scheduled to undergo major elective surgery. We focus on 3 common comorbid conditions seen across surgical specialties - anemia, hyperglycemia and smoking - as these conditions increase complication rates in patients undergoing major surgery and can be optimized successfully as soon as 6-8 weeks before surgery. With the ability to address these conditions earlier in the patient journey, surgeons can positively affect patient outcomes. The aim of this guideline is to bring optimization in the preoperative period under the existing umbrella of evidence-based surgical care.

Nicotine replacement treatment, e-cigarettes and an online behavioural intervention to reduce relapse in recent ex-smokers: a multinational four-arm RCT

BACKGROUND

Relapse remains an unresolved issue in smoking cessation. Extended stop smoking medication use can help, but uptake is low and several behavioural relapse prevention interventions have been found to be ineffective. However, opportunistic 'emergency' use of fast-acting nicotine replacement treatment or electronic cigarettes may be more attractive and effective, and an online behavioural Structured Planning and Prompting Protocol has shown promise. The present trial aimed to evaluate the clinical effectiveness and cost-effectiveness of these two interventions.

DESIGN

A randomised controlled trial.

SETTING

English stop smoking services and Australian quitlines, Australian social media and St Vincent's Hospital Melbourne, Fitzroy, VIC.

PARTICIPANTS

Ex-smokers abstinent for at least 4 weeks, with some participants in Australia also recruited from 1 week post quit date. The planned sample size was 1400, but the trial was curtailed when 235 participants were recruited.

INTERVENTIONS

Participants were randomised in permuted blocks of random sizes to (1) oral nicotine replacement treatment/electronic cigarettes to use if at risk of relapse, plus static text messages (n = 60), (2) the Structured Planning and Prompting Protocol and interactive text messages (n = 57), (3) oral nicotine replacement treatment/electronic cigarettes plus the Structured Planning and Prompting Protocol with interactive text messages (n = 58) or (4) usual care plus static text messages (n = 59).

OUTCOME MEASURES

Owing to delays in study set-up and recruitment issues, the study was curtailed and the primary outcome was revised. The original objective was to determine whether or not the two interventions, together or separately, reduced relapse rates at 12 months compared with usual care. The revised primary objective was to determine whether or not number of interventions received (i.e. none, one or two) affects relapse rate at 6 months (not biochemically validated because of study curtailment). Relapse was defined as smoking on at least 7 consecutive days, or any smoking in the last month at final follow-up for both the original and curtailed outcomes. Participants with missing outcome data were included as smokers. Secondary outcomes included sustained abstinence (i.e. no more than five cigarettes smoked over the 6 months), nicotine product preferences (e.g. electronic cigarettes or nicotine replacement treatment) and Structured Planning and Prompting Protocol coping strategies used. Two substudies assessed reactions to interventions quantitatively and qualitatively. The trial statistician remained blinded until analysis was complete.

RESULTS

The 6-month relapse rates were 60.0%, 43.5% and 49.2% in the usual-care arm, one-intervention arm and the two-intervention arm, respectively (p = 0.11). Sustained abstinence rates were 41.7%, 54.8% and 50.9%, respectively (p = 0.17). Electronic cigarettes were chosen more frequently than nicotine replacement treatment in Australia (71.1% vs. 29.0%; p = 0.001), but not in England (54.0% vs. 46.0%; p = 0.57). Of participants allocated to nicotine products, 23.1% were using them daily at 6 months. The online intervention received positive ratings from 63% of participants at 6 months, but the majority of participants (72%) completed one assessment only. Coping strategies taught in the Structured Planning and Prompting Protocol were used with similar frequency in all study arms, suggesting that these are strategies people had already acquired. Only one participant used the interactive texting, and interactive and static messages received virtually identical ratings.

LIMITATIONS

The inability to recruit sufficient participants resulted in a lack of power to detect clinically relevant differences. Self-reported abstinence was not biochemically validated in the curtailed trial, and the ecological momentary assessment substudy was perceived by some as an intervention.

CONCLUSIONS

Recruiting recent ex-smokers into an interventional study proved problematic. Both interventions were well received and safe. Combining the interventions did not surpass the effects of each intervention alone. There was a trend in favour of single interventions reducing relapse, but it did not reach significance and there are reasons to interpret the trend with caution.

FUTURE WORK

Further studies of both interventions are warranted, using simpler study designs.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN11111428.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 68. See the NIHR Journals Library website for further project information. Funding was also provided by the National Health and Medical Research Council, Canberra, ACT, Australia (NHMRC APP1095880). Public Health England provided the funds to purchase the nicotine products in England.

Varenicline rescues nicotine-induced decrease in motivation for sucrose reinforcement

Varenicline is one of the top medications used for smoking cessation and is often prescribed before termination of nicotine use. The effect of this combined nicotine and varenicline use on the reward system and motivation for primary reinforcement is underexplored. The goal of this study was to assess the effects of nicotine and varenicline on motivation for a food reinforcer. In Experiment 1, we first assessed the responding for sucrose after pretreatment with nicotine (0, 0.1, or 0.4 mg/kg) and varenicline (0.0, 0.1, 1.0 mg/kg) using a behavioral economics approach. The responding for sucrose was then assessed using a progressive ratio schedule of reinforcement after pretreatment with all possible combinations of nicotine and varenicline doses. In Experiment 2, rats were assessed for the consumption of sucrose in home cages after pretreatment with nicotine and varenicline. We found that (a) nicotine decreased economic demand for sucrose, (b) varenicline rescued nicotine-induced reduction in economic demand for sucrose, and (c) history of varenicline treatment predicted responding for sucrose on a progressive ratio schedule of reinforcement where rats with a history of varenicline treatment responded significantly lower for sucrose across nicotine doses than rats that had not been exposed to varenicline. The results of Experiment 2 largely confirmed that nicotine decreases motivation for sucrose using a passive consumption protocol and that varenicline rescues this effect. Overall, these findings suggest that varenicline interacts with the effects of nicotine by restoring nicotine-induced reduction in motivation for appetitive rewards.

Promoting smoking abstinence in smokers willing to quit smoking through virtual reality-approach bias retraining: a study protocol for a randomized controlled trial

Background

Automatic processes to approach smoking-related cues have been repeatedly linked to smoking status, intensity of smoking, and cigarette craving. Moreover, recent findings suggest that targeting those tendencies directly by means of approach bias modification (ABM) has merit in changing maladaptive approach tendencies for drug cues and reducing drug consumption. However, training effects tend to be small. Embedding the training into virtual reality (VR) technology could be a promising way to improve training efficacy. The present protocol describes a randomized controlled trial that aims to assess the efficacy of a newly developed VR-ABM as a means of reducing smoking-related approach biases or nicotine consumption in smokers seeking abstinence.

Methods

One hundred daily smokers who are motivated to quit smoking will be recruited into the randomized controlled trial. All participants will attend a brief smoking cessation intervention (TAU) and will be randomly assigned either to the experimental (VR-avoidance training) or the placebo-control group (VR-placebo training). During the VR-avoidance training, participants are implicitly instructed to make an avoidance movement in response to smoking-related objects (e.g., cigarettes) and an approach movement in response to alternative objects (e.g., healthy food). During the VR-placebo training, no such contingency between arm movement and item content exists. Trainings are administered in six sessions within two weeks. Training effects on automatic approach tendencies and smoking behavior are measured immediately after training and at a 7-week follow-up.

Discussion

Embedding the training into virtual reality (VR) technology could be a promising new way to improve ecological validity, realism, and immersion and thereby increase ABM training effects. The results of this study can inform future research in the optimization and advancement of treatment for addiction.

Trial registration

Registered with Current Controlled Trials: study ID ISRCTN16006023. Registered on 28 March 2019.

Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: A study protocol for a randomized controlled study

Background

Automatic tendencies to approach drug-related cues have been linked to the development and maintainance of harmful drug-taking behavior. Recent studies have demonstrated that these automatic approach tendencies can be targeted directly by means of cognitive bias modification (CBM). Moreover, changing those approach tendencies may enhance treatment outcomes. However, training and therapy effects tend to be rather small and adherence to the training might be impaired by time-consuming multiple laboratory training sessions. Here, we present a protocol for a randomized controlled design to improve CBM training efficiency and facilitate access to the training by providing mobile-phone-based training sessions at home to current smokers motivated to quit smoking.

Methods

Participants (n = 100) are current smokers who smoke at least six cigarettes per day for at least 6 months and are willing to quit smoking. All participants attend a brief behavioral smoking cessation intervention (TAU) and are randomly assigned either to an experimental (TAU + training) or a control group. Participants in the experimental condition are given access to a training application (app) aimed at retraining automatic approach biases for smoking cues. Participants are instructed to perform the app training outside the laboratory context on a daily basis for 14 consecutive days. Participants in the control group do not receive the training. Primary outcome measures are changes in smoking-related approach biases and reductions in daily nicotine consumption as assessed at baseline, post-training and at 6-week follow up. Secondary outcome measures include approach biases for alternative stimuli or smoking stimuli to which participants were not exposed during training, attentional and association biases, biochemical outcomes, and self-reported smoking behavior, also measured at three different time points (baseline, post-training, and follow up). After completion of the study, smokers in the control condition will receive access to the training app.

Discussion

This randomized controlled trial is the first to test the effectiveness of an app-based CBM intervention as an adjunct to a brief smoking cessation intervention in smokers motivated to quit smoking. The results of this study can inform future research in the optimization and advancement of CBM treatment for addiction.

Trial registration

Current Controlled Trials, ISRCTN15690771. Registered on 20 November 2018.

Relapse prevention interventions for smoking cessation

BACKGROUND

A number of treatments can help smokers make a successful quit attempt, but many initially successful quitters relapse over time. Several interventions have been proposed to help prevent relapse.

OBJECTIVES

To assess whether specific interventions for relapse prevention reduce the proportion of recent quitters who return to smoking.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register, clinicaltrials.gov, and the ICTRP in May 2019 for studies mentioning relapse prevention or maintenance in their title, abstracts, or keywords.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials of relapse prevention interventions with a minimum follow-up of six months. We included smokers who quit on their own, were undergoing enforced abstinence, or were participating in treatment programmes. We included studies that compared relapse prevention interventions with a no intervention control, or that compared a cessation programme with additional relapse prevention components with a cessation programme alone.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included 81 studies (69,094 participants), five of which are new to this update. We judged 22 studies to be at high risk of bias, 53 to be at unclear risk of bias, and six studies to be at low risk of bias. Fifty studies included abstainers, and 30 studies helped people to quit and then tested treatments to prevent relapse. Twenty-eight studies focused on special populations who were abstinent because of pregnancy (19 studies), hospital admission (six studies), or military service (three studies). Most studies used behavioural interventions that tried to teach people skills to cope with the urge to smoke, or followed up with additional support. Some studies tested extended pharmacotherapy. We focused on results from those studies that randomised abstainers, as these are the best test of relapse prevention interventions. Of the 12 analyses we conducted in abstainers, three pharmacotherapy analyses showed benefits of the intervention: extended varenicline in assisted abstainers (2 studies, n = 1297, risk ratio (RR) 1.23, 95% confidence interval (CI) 1.08 to 1.41, I2 = 82%; moderate-certainty evidence), rimonabant in assisted abstainers (1 study, RR 1.29, 95% CI 1.08 to 1.55), and nicotine replacement therapy (NRT) in unaided abstainers (2 studies, n = 2261, RR 1.24, 95% Cl 1.04 to 1.47, I2 = 56%). The remainder of analyses of pharmacotherapies in abstainers had wide confidence intervals consistent with both no effect and a statistically significant effect in favour of the intervention. These included NRT in hospital inpatients (2 studies, n = 1078, RR 1.23, 95% CI 0.94 to 1.60, I2 = 0%), NRT in assisted abstainers (2 studies, n = 553, RR 1.04, 95% CI 0.77 to 1.40, I2 = 0%; low-certainty evidence), extended bupropion in assisted abstainers (6 studies, n = 1697, RR 1.15, 95% CI 0.98 to 1.35, I2 = 0%; moderate-certainty evidence), and bupropion plus NRT (2 studies, n = 243, RR 1.18, 95% CI 0.75 to 1.87, I2 = 66%; low-certainty evidence). Analyses of behavioural interventions in abstainers did not detect an effect. These included studies in abstinent pregnant and postpartum women at the end of pregnancy (8 studies, n = 1523, RR 1.05, 95% CI 0.99 to 1.11, I2 = 0%) and at postpartum follow-up (15 studies, n = 4606, RR 1.02, 95% CI 0.94 to 1.09, I2 = 3%), studies in hospital inpatients (5 studies, n = 1385, RR 1.10, 95% CI 0.82 to 1.47, I2 = 58%), and studies in assisted abstainers (11 studies, n = 5523, RR 0.98, 95% CI 0.87 to 1.11, I2 = 52%; moderate-certainty evidence) and unaided abstainers (5 studies, n = 3561, RR 1.06, 95% CI 0.96 to 1.16, I2 = 1%) from the general population.

AUTHORS' CONCLUSIONS

Behavioural interventions that teach people to recognise situations that are high risk for relapse along with strategies to cope with them provided no worthwhile benefit in preventing relapse in assisted abstainers, although unexplained statistical heterogeneity means we are only moderately certain of this. In people who have successfully quit smoking using pharmacotherapy, there were mixed results regarding extending pharmacotherapy for longer than is standard. Extended treatment with varenicline helped to prevent relapse; evidence for the effect estimate was of moderate certainty, limited by unexplained statistical heterogeneity. Moderate-certainty evidence, limited by imprecision, did not detect a benefit from extended treatment with bupropion, though confidence intervals mean we could not rule out a clinically important benefit at this stage. Low-certainty evidence, limited by imprecision, did not show a benefit of extended treatment with nicotine replacement therapy in preventing relapse in assisted abstainers. More research is needed in this area, especially as the evidence for extended nicotine replacement therapy in unassisted abstainers did suggest a benefit.

A Pilot Randomized Controlled Trial of a Phone-based Intervention for Smoking Cessation and Relapse Prevention in the Postpartum Period

OBJECTIVES

To pilot-test a Phone-based Postpartum Continuing Care (PPCC) protocol developed from existing evidence-based approaches to address both postpartum smoking relapse among low-income women who quit smoking during pregnancy and postpartum smoking increase among those who had cut down.

METHODS

One hundred thirty low-income pregnant women who were current or recently quit tobacco smokers were recruited at their first prenatal appointment and randomized to either a Control (standard care) or Experimental (standard care + PPCC) group. An intent-to-treat analysis was conducted on biochemically verified data from 6 in-person interviews during pregnancy and postpartum. Feasibility with regard to recruitment, randomization, assessment, and implementation of PPCC were assessed, along with acceptability among the target population.

RESULTS

PPCC was found to be feasible and acceptable to some participants, but not all. There were no significant differences in tobacco products per day at 6 months postpartum between groups; however, effect sizes differed at 6 weeks compared with 6 months postpartum. Similarly, there were no significant differences between groups in cessation rate (24% in each group) and past 90-day tobacco use (59 vs 55 days, for Control and Experimental groups, respectively).

CONCLUSIONS

The PPCC intervention did not differentially reduce tobacco use postpartum compared with a controlled comparison group, though it was found to be acceptable among a subpopulation of low-income pregnant women and feasible with regard to recruitment, randomization, assessment procedures, and implementation. Further research is needed to identify an intervention that significantly improves smoking relapse rates postpartum.

Relapse prevention interventions for smoking cessation

BACKGROUND

A number of treatments can help smokers make a successful quit attempt, but many initially successful quitters relapse over time. Several interventions have been proposed to help prevent relapse.

OBJECTIVES

To assess whether specific interventions for relapse prevention reduce the proportion of recent quitters who return to smoking.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register, clinicaltrials.gov, and the ICTRP in February 2018 for studies mentioning relapse prevention or maintenance in their title, abstracts, or keywords.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials of relapse prevention interventions with a minimum follow-up of six months. We included smokers who quit on their own, were undergoing enforced abstinence, or were participating in treatment programmes. We included studies that compared relapse prevention interventions with a no intervention control, or that compared a cessation programme with additional relapse prevention components with a cessation programme alone.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included 77 studies (67,285 participants), 15 of which are new to this update. We judged 21 studies to be at high risk of bias, 51 to be at unclear risk of bias, and five studies to be at low risk of bias. Forty-eight studies included abstainers, and 29 studies helped people to quit and then tested treatments to prevent relapse. Twenty-six studies focused on special populations who were abstinent because of pregnancy (18 studies), hospital admission (five studies), or military service (three studies). Most studies used behavioural interventions that tried to teach people skills to cope with the urge to smoke, or followed up with additional support. Some studies tested extended pharmacotherapy.We focused on results from those studies that randomised abstainers, as these are the best test of relapse prevention interventions. Of the 12 analyses we conducted in abstainers, three pharmacotherapy analyses showed benefits of the intervention: extended varenicline in assisted abstainers (2 studies, n = 1297, risk ratio (RR) 1.23, 95% confidence interval (CI) 1.08 to 1.41, I² = 82%; moderate certainty evidence), rimonabant in assisted abstainers (1 study, RR 1.29, 95% CI 1.08 to 1.55), and nicotine replacement therapy (NRT) in unaided abstainers (2 studies, n = 2261, RR 1.24, 95% Cl 1.04 to 1.47, I² = 56%). The remainder of analyses of pharmacotherapies in abstainers had wide confidence intervals consistent with both no effect and a statistically significant effect in favour of the intervention. These included NRT in hospital inpatients (2 studies, n = 1078, RR 1.23, 95% CI 0.94 to 1.60, I² = 0%), NRT in assisted abstainers (2 studies, n = 553, RR 1.04, 95% CI 0.77 to 1.40, I² = 0%; low certainty evidence), extended bupropion in assisted abstainers (6 studies, n = 1697, RR 1.15, 95% CI 0.98 to 1.35, I² = 0%; moderate certainty evidence), and bupropion plus NRT (2 studies, n = 243, RR 1.18, 95% CI 0.75 to 1.87, I² = 66%; low certainty evidence). Analyses of behavioural interventions in abstainers did not detect an effect. These included studies in abstinent pregnant and postpartum women at end of pregnancy (8 studies, n = 1523, RR 1.05, 95% CI 0.99 to 1.11, I² = 0%) and at postpartum follow-up (15 studies, n = 4606, RR 1.02, 95% CI 0.94 to 1.09, I² = 3%), studies in hospital inpatients (4 studies, n = 1300, RR 0.95, 95% CI 0.81 to 1.11, I² = 0%), and studies in assisted abstainers (10 studies, n = 5408, RR 0.99, 95% CI 0.87 to 1.13, I² = 56%; moderate certainty evidence) and unaided abstainers (5 studies, n = 3561, RR 1.06, 95% CI 0.96 to 1.16, I² = 1%) from the general population.

AUTHORS' CONCLUSIONS

Behavioural interventions that teach people to recognise situations that are high risk for relapse along with strategies to cope with them provided no worthwhile benefit in preventing relapse in assisted abstainers, although unexplained statistical heterogeneity means we are only moderately certain of this. In people who have successfully quit smoking using pharmacotherapy, there were mixed results regarding extending pharmacotherapy for longer than is standard. Extended treatment with varenicline helped to prevent relapse; evidence for the effect estimate was of moderate certainty, limited by unexplained statistical heterogeneity. Moderate-certainty evidence, limited by imprecision, did not detect a benefit from extended treatment with bupropion, though confidence intervals mean we could not rule out a clinically important benefit at this stage. Low-certainty evidence, limited by imprecision, did not show a benefit of extended treatment with nicotine replacement therapy in preventing relapse in assisted abstainers. More research is needed in this area, especially as the evidence for extended nicotine replacement therapy in unassisted abstainers did suggest a benefit.

Pilot study of a 3-day residential treatment for smoking cessation in Hong Kong

INTRODUCTION

The Tung Wah Group of Hospitals Integrated Centre on Smoking Cessation has been providing free smoking cessation services since 2009. The average quit rate from 2009 to 2014 was 37%. In order to boost the quite rate, we have implemented a residential treatment program for smokers who volunteered to participate. Having run the program for two years, we conducted a retrospective cohort study to evaluate its effectiveness.

METHODS

We recruited the participants who had failed previous quit attempts and who came to seek our smoking cessation services. A 3-day residential program of activities were arranged for our participants. Intensive individual and group counseling was provided. Pharmacotherapy was also provided to alleviate withdrawal symptoms. This was followed by our usual treatment and follow-up program. Self-reported 7-day point prevalence abstinence rate at 26 weeks based on intention-to-treat (ITT) analysis was assessed.

RESULTS

A total of 40 clients volunteered to join the program, age 26 to 65 years old with a mean of 44.1 years. There were 25 (62.5%) males and 15 (37.5%) females. The quit rate at 26 weeks was 57.5%. Smokers older than 43 years, having cohabiting smokers, and smoking for more than 28 years, were more likely to quit and this was statistically significant.

CONCLUSIONS

This pilot study demonstrated that a 3-day residential program is effective in helping addicted smokers who volunteer to quit smoking and is cost effective compared to longer residential programs.

Smoking cessation in pregnancy: a continuing challenge in the United States

Despite significant population level declines, smoking during pregnancy remains a major public health issue in the United States (US). Approximately 360,000-500,000 smoke-exposed infants are born yearly, and prenatal smoking remains a leading modifiable cause of poor birth outcomes (e.g. birth < 37 gestational weeks, low birth weight, perinatal mortality). Women who smoke during pregnancy are more likely to be younger and from disadvantaged socioeconomic and racial and ethnic groups, with some US geographic regions reporting increased prenatal smoking rates since 2000. Such disparities in maternal prenatal smoking suggests some pregnant women face unique barriers to cessation. This paper reviews the current state and future direction of smoking cessation in pregnancy in the US. We briefly discuss the etiology of smoking addiction among women, the pathophysiology and effects of tobacco smoke exposure on pregnant women and their offspring, and the emerging issue of electronic nicotine delivery systems. Current population-based and individual smoking cessation interventions are reviewed in the context of pregnancy and barriers to cessation among US women. Finally, we consider interventions that are on the horizon and areas in need of further investigation.

Cost-effectiveness of alternative smoking cessation scenarios in Spain: results from the EQUIPTMOD

AIMS

To assess the cost-effectiveness of alternative smoking cessation scenarios from the perspective of the Spanish National Health Service (NHS).

DESIGN

We used the European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD), a Markov-based state transition economic model, to estimate the return on investment (ROI) of: (a) the current provision of smoking cessation services (brief physician advice and printed self-helped material + smoking ban and tobacco duty at current levels); and (b) four alternative scenarios to complement the current provision: coverage of proactive telephone calls; nicotine replacement therapy (mono and combo) [prescription nicotine replacement therapy (Rx NRT)]; varenicline (standard duration); or bupropion. A rate of 3% was used to discount life-time costs and benefits.

SETTING

Spain.

PARTICIPANTS

Adult smoking population (16+ years).

MEASUREMENTS

Health-care costs associated with treatment of smoking attributable diseases (lung cancer, coronary heart disease, chronic obstructive pulmonary infection and stroke); intervention costs; quality-adjusted life years (QALYs). Costs and outcomes were summarized using various ROI estimates.

FINDINGS

The cost of implementing the current provision of smoking cessation services is approximately €61 million in the current year. This translates to 18 quitters per 1000 smokers and a life-time benefit-cost ratio of 5, compared with no such provision. All alternative scenarios were dominant (cost-saving: less expensive to run and generated more QALYs) from the life-time perspective, compared with the current provision. The life-time benefit-cost ratios were: 1.87 (proactive telephone calls); 1.17 (Rx NRT); 2.40 (varenicline-standard duration); and bupropion (2.18). The results remained robust in the sensitivity analysis.

CONCLUSIONS

According to the EQUIPTMOD modelling tool it would be cost-effective for the Spanish authorities to expand the reach of existing GP brief interventions for smoking cessation, provide pro-active telephone support, and reimburse smoking cessation medication to smokers trying to stop. Such policies would more than pay for themselves in the long run.

Postpartum Changes in Mood and Smoking-Related Symptomatology: An Ecological Momentary Assessment Investigation

Introduction

Postpartum smoking relapse is a highly prevalent public health problem. Mood and breast feeding are significantly associated with smoking relapse, although less is known about the temporality of these relationships. Therefore, this study utilized ecological momentary assessments (EMA) to prospectively examine changes in mood and smoking-related symptomatology in relationship to three events-childbirth, termination of breast feeding, and smoking relapse. We expected all three events to significantly alter mood and smoking-related symptomatology.

Methods

We enrolled a sample of pregnant women who had recently quit smoking and intended to remain quit during the postpartum. Participants were randomized to active/placebo progesterone to prevent postpartum relapse. Participants also completed daily EMA to collect data mood and smoking-related symptomatology as well as our three events of interest.

Results

Participants (n = 46) were, on average, 26.5 ± 0.8 years old and, prior to pregnancy, smoked 10.1 ± 0.7 cigarettes/day. We noted a number of significant within- and between-subject relationships. For example, participants reported a 24% decline in negative affect after childbirth (p = .0016). Among those who relapsed to smoking (n = 23), participants randomized to placebo had a significant increase in cigarette craving after relapse (β = 1.06, 95% confidence interval [CI] = 0.62 to 1.49, p value = .0003), whereas participants randomized to active progesterone did not (β = 0.63, 95% CI = -0.35 to 1.62, p value = .1824).

Conclusions

These observations suggest that mood and smoking-related symptomatology are influenced by childbirth, breast feeding, smoking relapse, and use of exogenous progesterone. Future research should explore how these observations may inform novel postpartum smoking relapse-prevention interventions.

Implications

Postpartum smoking relapse has been a persistent public health problem for more than 40 years. Although a number of significant predictors of postpartum smoking relapse have been identified (eg, depression and breast feeding), much of these analyses have relied on cross-sectional and/or self-reported retrospective data. Therefore, for the first time, we utilized ecological momentary assessment to explore the effect of childbirth, termination of breast feeding, and smoking relapse on mood and smoking-related symptomatology (eg, craving). Numerous significant relationships were observed, including a 96% increase in craving after smoking relapse. These novel observations can inform new and effective postpartum smoking relapse-prevention programs.

Diminishing benefit of smoking cessation medications during the first year: a meta-analysis of randomized controlled trials

BACKGROUND AND AIMS

Although smoking cessation medications have shown effectiveness in increasing abstinence in randomized controlled trials (RCTs), it is unclear to what extent benefits persist over time. This paper assesses whether the benefits of smoking cessation medications decline over the first year.

METHODS

We selected studies from three systematic reviews published by the Cochrane Collaboration. RCTs of first-line smoking cessation medications, with 6- and 12-month follow-up, were eligible for inclusion. Meta-analysis was used to synthesize information on sustained abstinence (SA) at 6 versus 12 months and 3 versus 6 months, using the risk difference (RD) ('net benefit') between intervention and control group quit rates, the relative risk (RR) and the odds ratio (OR).

RESULTS

Sixty-one studies (27 647 participants) were included. Fewer than 40% of intervention group participants were sustained abstinent at 3 months (bupropion: 37.1%; nicotine replacement therapy (NRT): 34.8%; varenicline: 39.3%); approximately a quarter were sustained abstinent at 6 months (bupropion: 25.9%; NRT: 26.6%; varenicline: 25.4%), and approximately a fifth were sustained abstinent at 12 months (bupropion: 19.9%; NRT: 19.8%%; varenicline: 18.7%). There was only a small decline in RR (3 months: 1.95 [95% confidence interval (CI) = 1.74-2.18, P < 0.0001]; 6 months: 1.87 (95% CI = 1.67-2.08 P < 0.0001); 12 months: 1.75 (95% CI = 1.56-1.95, P < 0.0001) between intervention and control groups over time, but a substantial decline in net benefit [3 months: RD = 17.3% (14.5-20.1%); 6 months: RD = 11.8% (10.0-13.7%); 12 months: RD = 8.2% (6.8-9.6%)]. The decline in net benefit was statistically significant between 3 and 6 [RD = 4.95% (95% CI = 3.49-6.41%), P < 0.0001] and 6 and 12 months [RD = 3.00% (95% CI = 2.36%-3.64%), P < 0.0001)] for medications combined and individual medications.

CONCLUSIONS

The proportion of smokers who use smoking cessation medications who benefit from doing so decreases during the course of the first year, but a net benefit still remains at 12 months.

Effects of lorcaserin (Belviq®) on nicotine- and food-maintained responding in non-human primates

BACKGROUND

Accumulating evidence suggests that the FDA-approved serotonin 5-HT2C receptor agonist, lorcaserin (Belviq®), may be a promising candidate for the management of substance use disorders, including nicotine addiction. The present study was conducted to determine the efficacy and selectivity of acute or continuous lorcaserin treatment for decreasing the reinforcing effects of nicotine in a primate species.

METHODS

Adult rhesus monkeys (n=4) with a history of nicotine self-administration (>2years) responded for injections of nicotine (0.32-100μg/kg IV) or food pellets under a fixed-ratio schedule of reinforcement during daily 100-min sessions. When responding was stable, lorcaserin was administered either as an acute pretreatment (0.1-1.0mg/kg, IM) or by continuous infusion (0.1mg/kg/hr, SC for 3-5days). Daily activity patterns were also monitored immediately following experimental sessions.

RESULTS

Results indicate that acute lorcaserin pretreatment produced significant and dose-dependent decreases in nicotine-maintained responding across a >100-fold range of self-administered nicotine doses. Continuous lorcaserin treatment decreased intake of 10μg/kg/inj nicotine to about 50% of baseline values. Food-maintained responding was only moderately decreased in 3 of 4 subjects after acute administration and unaffected in all subjects during continuous treatment. Daily activity also was significantly decreased-to ≤50% of control values-following experimental sessions in which acute lorcaserin was administered.

CONCLUSIONS

These data indicate that lorcaserin reduces IV self-administration of nicotine at a dose that decreases motoric activity but less consistently disrupts food-maintained responding. Further research into lorcaserin's potential utility for the management of nicotine dependence is warranted.

Treatment non-response: Associations with smoking expectancies among treatment-seeking smokers

Despite the high rate of smoking cessation treatment non-response, relatively little empirical work has examined predictors of treatment non-response. The present study sought to explore the effect of smoking outcome expectancies on treatment response in a sample of treatment-seeking adult daily smokers (N=182; 53.3% female; M_age=40.67; SD=13.63). Results indicated that expectancies for smoking to reduce negative affect were related to an increased likelihood of treatment non-response (OR=0.73, CI: 0.54, 0.98). These findings remained significant after controlling for sex, presence of Axis I disorder, tobacco-related health problems, tobacco dependence, anxiety sensitivity, and condition assignment as well as other smoking expectancy dimensions. Post hoc analyses revealed that this relation was stronger for smokers in the integrated care condition vs. the standard care condition (Interaction: OR=1.69, CI: 1.05, 2.73). Additionally, expectancies for smoking to enhance positive affect and provide sensory satisfaction were associated with an increased likelihood of treatment response in the standard care condition. The current findings suggest expectancies that smoking will alleviate negative affect may be a risk factor of smoking cessation treatment non-response. Additionally, findings provide evidence that the relation between smoking expectancies and treatment non-response may differ by smoking cessation treatment.

No 349 - Consommation de substances psychoactives pendant la grossesse

OBJECTIFS

Accroître la sensibilisation à la consommation problématique de substances psychoactives pendant la grossesse et les connaissances à ce sujet, et formuler des recommandations factuelles relatives à la prise en charge de cet épineux problème clinique à l'intention de l'ensemble des fournisseurs de soins.

OPTIONS

La présente directive clinique analyse l'utilisation d'outils de dépistage, l'approche générale de soins et les recommandations pour la prise en charge clinique de la consommation problématique de substances psychoactives pendant la grossesse.

ISSUES

Recommandations factuelles pour le dépistage et la prise en charge de la consommation problématique de substances psychoactives pendant la grossesse et l'allaitement.

RECHERCHE DOCUMENTAIRE

La littérature à jour a été obtenue au moyen de recherches dans Medline, PubMed et la Bibliothèque Cochrane visant les articles publiés entre 1996 et 2016, avec les mots clés suivants : « pregnancy », « electronic cigarettes », « tobacco use cessation products », « buprenorphine » et « methadone ». Les résultats ont d'abord été restreints aux analyses systématiques, aux ECR et aux essais cliniques contrôlés. Ensuite, en raison de la rareté des ECR sur le sujet, des recherches d'études observationnelles ont également été menées. Les articles sélectionnés ont été limités aux études chez l'humain publiées en anglais, puis d'autres articles ont été trouvés manuellement, par l'analyse des listes de références.

VALEURS

La qualité des données a été évaluée au moyen des critères énoncés dans le rapport du Groupe d'étude canadien sur les soins de santé préventifs. Les recommandations visant la pratique ont été classées conformément à la méthode décrite dans ce rapport. AVANTAGES, DéSAVANTAGES ET COûTS: La présente directive clinique a pour but d'améliorer les connaissances et le degré d'aisance des fournisseurs qui dispensent des soins aux femmes enceintes ayant un trouble de l'usage d'une substance. L'amélioration de l'accès aux soins de santé et de l'aide pour obtenir un traitement adéquat de la dépendance fait diminuer les coûts de santé et les taux de morbidité et de mortalité chez la mère et l'enfant. RECOMMANDATIONS.

Keeping Weight Off: study protocol of an RCT to investigate brain changes associated with mindfulness-based stress reduction

INTRODUCTION

Obesity is a growing epidemic fuelled by unhealthy behaviours and associated with significant comorbidities and financial costs. While behavioural interventions produce clinically meaningful weight loss, weight loss maintenance is challenging. This may partially be due to failure to target stress and emotional reactivity. Mindfulness-based stress reduction (MBSR) reduces stress and emotional reactivity and may be a useful tool for behaviour change maintenance. This study seeks to provide a mechanistic understanding for clinical trials of the benefits of MBSR for weight loss maintenance by examining changes in functional connectivity (FC) and the association of these changes with clinical outcomes.

METHODS AND ANALYSIS

Community-dwelling individuals (n=80) who intentionally lost ≥5% of their body weight in the past year will be recruited and randomised to an MBSR programme or educational control. FC using resting-state functional MRI will be measured at baseline and 8 weeks. Psychological factors, health behaviours, body mass index and waist circumference will be measured at baseline, 8 weeks and 6 months post intervention. A 12-month telephone follow-up will assess self-reported weight. Analyses will characterise FC changes in response to MBSR in comparison with a control condition, assess the relationship between baseline FC status and pre-post MBSR changes in FC and investigate the association of FC change with changes in psychological factors and weight loss maintenance.

ETHICS AND DISSEMINATION

The University of Massachusetts Medical School Institutional Review Board has approved this study, Declaration of Helsinki protocols are being followed, and patients will give written informed consent. The Independent Monitoring Committee will monitor protocol adherence. Results from the study will be disseminated to the medical community at conferences and submitted for publication in peer-reviewed journals when the last patient included has been followed up for 12 months.

TRIAL REGISTRATION NUMBER

NCT02189187.

Applying Psychological Theories to Promote Long-Term Maintenance of Health Behaviors

Behavioral health theory provides a framework for researchers to design, implement, and evaluate the effects of health promotion programs. However, limited research has examined theories used in interventions to promote long-term maintenance of health behaviors. The purpose of this review was to evaluate the available literature and identify prominent behavioral health theories used in intervention research to promote maintenance of health behaviors. We reviewed theories used in intervention research assessing long-term maintenance (≥ 6 months post-intervention) of physical activity, weight loss, and smoking cessation. Five prominent behavioral theories were referenced by the 34 studies included in the review: Self-Determination Theory, Theory of Planned Behavior, Social Cognitive Theory, Transtheoretical Model, and Social Ecological Model. Descriptions and examples of applications of these theories are provided. Implications for future research are discussed.

[Psychotherapy and pharmacotherapy for harmful tobacco use and tobacco dependency]

Tobacco consumption is one of the major preventable health risk factors. In Germany approximately 110,000 people prematurely die from tobacco-related diseases and approximately 50% of regular smokers are considered to be tobacco dependent. Nevertheless, motivation to quit smoking is low and the long-term abstinence rates after attempts to stop smoking without professional support are far below 10%. As part of the S3 treatment guidelines 78 recommendations for motivation and early interventions for smokers unwilling to quit as well as psychotherapeutic and pharmacological support for smokers willing to quit were formulated after an systematic search of the current literature. More than 50 professional associations adopted the recommendations and background information in a complex certification process. In this article the scientific evidence base regarding the psychotherapeutic and pharmacological treatment options as well as recommendations and further information about indications and treatment implementation are presented. By following these guidelines for treatment of heavy smokers who are willing to quit combined with individual and group therapies on the basis of behavioral treatment strategies and pharmacological support, long-term success rates of almost 30% can be achieved.

Mapping Smoking Addiction Using Effective Connectivity Analysis

Prefrontal and parietal cortex, including the default mode network (DMN; medial prefrontal cortex (mPFC), and posterior cingulate cortex, PCC), have been implicated in addiction. Nonetheless, it remains unclear which brain regions play a crucial role in smoking addiction and the relationship among these regions. Since functional connectivity only measures correlations, addiction-related changes in effective connectivity (directed information flow) among these distributed brain regions remain largely unknown. Here we applied spectral dynamic causal modeling (spDCM) to resting state fMRI to characterize changes in effective connectivity among core regions in smoking addiction. Compared to nonsmokers, smokers had reduced effective connectivity from PCC to mPFC and from RIPL to mPFC, a higher self-inhibition within PCC and a reduction in the amplitude of endogenous neuronal fluctuations driving the mPFC. These results indicate that spDCM can differentiate the functional architectures between the two groups, and may provide insight into the brain mechanisms underlying smoking addiction. Our results also suggest that future brain-based prevention and intervention in addiction should consider the amelioration of mPFC-PCC-IPL circuits.

Text2Quit: an analysis of participant engagement in the mobile smoking cessation program

BACKGROUND

Text2Quit, an interactive text-messaging program aimed at smoking cessation, has been shown to increase quit rates, but engagement has not been thoroughly explored. Understanding the program features associated with engagement and behavior change is integral for effective program design.

OBJECTIVES

This study explored participants' interaction with the Text2Quit text-messaging program and associations between engagement and smoking cessation.

METHODS

The study included the 262 participants who received the Text2Quit intervention. Self-reported engagement measures, primarily usage of Text2Quit keywords and survey responses, were collected through computer records of participant use. Demographic variables and self-reported smoking abstinence were recorded in surveys at baseline and 6-month assessment.

RESULTS

The majority of participants (73%) maintained their subscription during the 6-month intervention. On average, participants received 210.51 text messages, 23.75 emails, and logged into the web portal 1.94 times. Being female was predictive of engagement with the program (β = 15.39). Program engagement, measured by the keyword PLEDGE (p = .002) and the Smokefree Status at 7 Days survey (p < .001) were associated with 6-month abstinence; use of keywords SMOKED (p < .001), RELAPSE (p = .007), and STOP (p = .023) were inversely related to abstinence. While abstainers (N = 83, 31%) stayed enrolled longer and engaged with the program more frequently, program "dose" was not predictive of smoking cessation.

CONCLUSIONS

Using interactive tools such as pledges and reporting on smoking status were predictive of cessation. Further study of program features is required to understand how to optimally design text messaging programs.

Enhancing the effectiveness of smoking treatment research: conceptual bases and progress

BACKGROUND AND AIMS

A chronic care strategy could potentially enhance the reach and effectiveness of smoking treatment by providing effective interventions for all smokers, including those who are initially unwilling to quit. This paper describes the conceptual bases of a National Cancer Institute-funded research program designed to develop an optimized, comprehensive, chronic care smoking treatment.

METHODS

This research is grounded in three methodological approaches: (1) the Phase-Based Model, which guides the selection of intervention components to be experimentally evaluated for the different phases of smoking treatment (motivation, preparation, cessation, and maintenance); (2) the Multiphase Optimization Strategy (MOST), which guides the screening of intervention components via efficient experimental designs and, ultimately, the assembly of promising components into an optimized treatment package; and (3) pragmatic research methods, such as electronic health record recruitment, that facilitate the efficient translation of research findings into clinical practice. Using this foundation and working in primary care clinics, we conducted three factorial experiments (reported in three accompanying papers) to screen 15 motivation, preparation, cessation and maintenance phase intervention components for possible inclusion in a chronic care smoking treatment program.

RESULTS

This research identified intervention components with relatively strong evidence of effectiveness at particular phases of smoking treatment and it demonstrated the efficiency of the MOST approach in terms both of the number of intervention components tested and of the richness of the information yielded.

CONCLUSIONS

A new, synthesized research approach efficiently evaluates multiple intervention components to identify promising components for every phase of smoking treatment. Many intervention components interact with one another, supporting the use of factorial experiments in smoking treatment development.

Postpartum smoking relapse--a thematic synthesis of qualitative studies

BACKGROUND AND AIMS

Many women quit smoking during pregnancy, but relapse after the baby is born. To understand why and identify ways of preventing this, this study reviewed the qualitative literature on women's experience of postpartum smoking relapse.

METHODS

A systematic review of qualitative studies and process evaluations of trials. We undertook a thematic synthesis of published qualitative data.

RESULTS

We screened 1336 papers. Twenty-two papers reporting on 16 studies were included, reporting on the views of 1031 postpartum women. Factors affecting relapse and barriers and facilitators to relapse prevention were identified around the key themes of beliefs, social influences, motivation, physiological factors and identity. Women's beliefs about smoking as a means of coping with stress and the need for social support, especially from a partner, emerged as important. Extrinsic motivation to quit during the pregnancy (for the health of the fetus) appeared to be a factor in prompting relapse after the baby was born. During the immediate postpartum period women believed that physiological changes influence cigarette cravings. The stress of caring for a newborn, sleeplessness and adjusting to a new mothering identity were also reported to be important.

CONCLUSIONS

Among women who quit smoking during pregnancy, those who relapse postpartum talk commonly about no longer needing to protect the baby and the effects of stress. Partner support and a sense of changed identity are cited as factors preventing relapse.

Effectiveness of a Mobile Phone App for Adults That Uses Physical Activity as a Tool to Manage Cigarette Craving After Smoking Cessation: A Study Protocol for a Randomized Controlled Trial

Background

Results from studies on the effects of exercise on smoking-related variables have provided strong evidence that physical activity acutely reduces cigarette cravings. Mobile technology may provide some valuable tools to move from explanatory randomized controlled trials to pragmatic randomized controlled trials by testing the acute effectiveness of exercise on quitters under real-life conditions. An mHealth app was developed to be used as a support tool for quitters to manage their cigarette cravings.

Objective

The primary aim of this paper is to present the protocol of a study examining the effectiveness of the Physical over smoking app (Ph.o.S) by comparing the point prevalence abstinence rate of a group of users to a comparator group during a 6-month follow-up period.

Methods

After initial Web-based screening, eligible participants are recruited to attend a smoking cessation program for 3 weeks to set a quit smoking date. Fifty participants who succeed in quitting will be randomly allocated to the comparator and experimental groups. Both groups will separately have 1 more counseling session on how to manage cravings. In this fourth session, the only difference in treatment between the groups is that the experimental group will have an extra 10-15 minutes of guidance on how to use the fully automated Ph.o.S app to manage cravings during the follow-up period. Data will be collected at baseline, as well as before and after the quit day, and follow-up Web-based measures will be collected for a period of 6 months. The primary efficacy outcome is the 7-day point prevalence abstinence rate, and secondary efficacy outcomes are number of relapses and cravings, self-efficacy of being aware of craving experience, self-efficacy in managing cravings, and power of control in managing cravings.

Results

Recruitment for this project commenced in December 2014, and proceeded until May 2015. Follow-up data collection has commenced and will be completed by the end of December 2015.

Conclusions

If the Ph.o.S app is shown to be effective, the study will provide evidence for the use of the app as a support tool for people who are trying to manage cravings during smoking cessation programs. It is anticipated that the results of the study will provide knowledge of how physical activity affects cigarette craving in real-life situations and inform the development and delivery of relapse prevention in smoking cessation treatment.

Trial Registration

International Standard Randomized Controlled Trial Number (ISRCTN): ISRCTN55259451; http://www.controlled-trials.com/ISRCTN55259451 (Archived by WebCite at http://www.webcitation.org/6cKF2mzEI)

Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation

BACKGROUND

Effective pharmacotherapies are available to help people who are trying to stop smoking, but quitting can still be difficult and providing higher levels of behavioural support may increase success rates further.

OBJECTIVES

To evaluate the effect of increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in May 2015 for records with any mention of pharmacotherapy, including any type of nicotine replacement therapy (NRT), bupropion, nortriptyline or varenicline that evaluated the addition of personal support or compared two or more intensities of behavioural support.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount of behavioural support. The intervention condition had to involve person-to-person contact. The control condition could receive less intensive personal contact, or just written information. We did not include studies that used a contact-matched control to evaluate differences between types or components of support. We excluded trials recruiting only pregnant women, trials recruiting only adolescents, and trials with less than six months follow-up.

DATA COLLECTION AND ANALYSIS

One author prescreened search results and two authors agreed inclusion or exclusion of potentially relevant trials. One author extracted data and another checked them.The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically-validated rates if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS

Forty-seven studies met the inclusion criteria with over 18,000 participants in the relevant arms. There was little evidence of statistical heterogeneity (I² = 18%) so we pooled all studies in the main analysis. There was evidence of a small but statistically significant benefit from more intensive support (RR 1.17, 95% CI 1.11 to 1.24) for abstinence at longest follow-up. All but four of the included studies provided four or more sessions of support to the intervention group. Most trials used NRT. We did not detect significant effects for studies where the pharmacotherapy was nortriptyline (two trials) or varenicline (one trial), but this reflects the absence of evidence.In subgroup analyses, studies that provided at least four sessions of personal contact for the intervention and no personal contact for the control had slightly larger estimated effects (RR 1.25, 95% CI 1.08 to 1.45; 6 trials, 3762 participants), although a formal test for subgroup differences was not significant. Studies where all intervention counselling was via telephone (RR 1.28, 95% CI 1.17 to 1.41; 6 trials, 5311 participants) also had slightly larger effects, and the test for subgroup differences was significant, but this subgroup analysis was not prespecified. In this update, the benefit of providing additional behavioural support was similar for the subgroup of trials in which all participants, including controls, had at least 30 minutes of personal contact (RR 1.18, 95% CI 1.06 to 1.32; 21 trials, 5166 participants); previously the evidence of benefit in this subgroup had been weaker. This subgroup was not prespecified and a test for subgroup differences was not significant. We judged the quality of the evidence to be high, using the GRADE approach. We judged a small number of trials to be at high risk of bias on one or more domains, but findings were not sensitive to their exclusion.

AUTHORS' CONCLUSIONS

Providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking has a small but important effect. Increasing the amount of behavioural support is likely to increase the chance of success by about 10% to 25%, based on a pooled estimate from 47 trials. Subgroup analysis suggests that the incremental benefit from more support is similar over a range of levels of baseline support.

If at first you don't succeed: characterization of smokers with late smoking abstinence onset

INTRODUCTION

Most cigarette smoking cessation research has aimed to clarify characteristics associated with initial and sustained abstinence, with less attention paid to predictors of gaining abstinence following an initial failure.

METHODS

The current investigation explored pre-treatment demographic, smoking, and psychiatric characteristics related to gaining abstinence among smokers who failed to attain initial abstinence. Participants were 809 individuals enrolled in extended, 52-week, smoking cessation interventions. Of these, 287 (62.4%) failed to achieve initial abstinence. Gaining abstinence following initial abstinence failure was defined as achieving seven-day point prevalent abstinence at any post-initial abstinence assessment.

RESULTS

Those who gained abstinence (Gainers) were more likely to have a live-in partner (χ(2)(1, N=283)=3.8, p=.05, Cramér's V=.12), identify as Hispanic (χ(2)(1, N=281)=7.8, p<.01, Cramér's V=.17), evidence lower baseline expired breath carbon monoxide (F(1, 284)=5.7, p=.02, η(2)=.02), report less cigarette dependence (F(1, 278)=7.1, p<.01, η(2)=.03), and report past week cannabis use (χ(2)(1, N=284)=5.6, p=.02, Cramér's V=.14). A logistic regression model suggested that having a live-in partner (OR=5.14, 95% CI=1.09-3.02, p=.02) and identifying as Hispanic (OR=4.93, 95% CI=1.20-18.77, p=.03) increased the odds of gaining abstinence.

DISCUSSION

Having a live-in partner, Hispanic status, greater cigarette dependence, and recent cannabis use were associated with gaining abstinence. These findings provide insight into an understudied area, contributing an initial framework toward understanding gaining abstinence following initial failure.

Does non-smoker identity following quitting predict long-term abstinence? Evidence from a population survey in England

AIMS

'Categorical self-labels' (e.g. thinking of oneself as a smoker or non-smoker) are important aspects of identity that can have a fundamental influence on behaviour. To explore the role identity aspects relating to smoking can play in smoking cessation and relapse, this study assessed the prospective associations between taking on a non-smoker identity following quitting and long-term abstinence.

METHODS

A representative sample of 574 ex-smokers in England who quit smoking in the past year was followed-up at three (N=179) and six months (N=163). Post-quit identity relating to smoking ('I still think of myself as a smoker' or 'I think of myself as a non-smoker'), and demographic and smoking-related characteristics were assessed at baseline. Self-reported smoking abstinence was assessed at follow-ups.

RESULTS

Non-smoker identity was reported by 80.3% (95%CI 76.8-83.4) of recent ex-smokers. Younger age (p=0.017) and longer abstinence (p<0.001) were independently associated with a post-quit non-smoker identity. After adjusting for covariates, non-smoker identity (p=0.032) and length of abstinence at baseline (p<0.001) were associated with continued abstinence at three month follow-up, and baseline length of abstinence (p=0.003) predicted continued abstinence at six months.

CONCLUSIONS

The majority of people who quit smoking recently consider themselves as non-smokers. Younger people and those who have been abstinent for longer are more likely to take on a non-smoker identity. Ex-smokers who make this mental transition following a quit attempt appear more likely to remain abstinent in the medium term than those who still think of themselves as smokers.

Seven-day continuous abstinence rate from smoking at 1, 2, or 3 years after the use of varenicline

BACKGROUND

Varenicline, a selective partial agonist/antagonist of the α4β2 nicotinic receptor, has proven effectiveness for smoking cessation by several randomized, controlled trials. Because few studies have evaluated the long-term efficacy of varenicline, we tried to evaluate the smoking status of varenicline users up to 3 years after the initial prescription of the drug.

METHODS

We interviewed varenicline users who were prescribed the drug from June 2007 to May 2010 by telephone, from June 2010 to May 2011.

RESULTS

One-hundred and thirty-three of 250 varenicline users (53.2%) were available for the survey. Seven-day continuous abstinence from smoking was adhered to by 17 of 39 respondents (43.6%) at 1 year, and 11 of 36 (30.6%) and 19 of 58 (32.8%) at 2 and 3 years since the first use of varenicline, respectively. Compared to current smokers, successful quitters were older (55.0 years vs. 49.9 years, p=0.01), had better compliance to the 12-week course (27.7 vs. 9.3%, p=0.01), and had taken varenicline longer (10.1 vs. 5.9 weeks, p=0.01). Fifty-four of 71 current smokers (76.1%) were willing to stop smoking in the near future. The preferred ways to cease smoking were will-power (48.1%), varenicline (25.9%), nicotine replacement therapy (11.1%), and others (14.9%).

CONCLUSION

Smokers should be encouraged to stick to the proven way for recommended period of time for successful cessation of smoking.

Existential multiplicity and the late-modern smoker: negotiating multiple identities in a support group for smoking cessation

To examine identity work of smokers attempting to quit, we undertook participant observation at an Israeli cessation support group. Grounded theory and thematic analysis of group dialogue permitted identification of recurring themes and the presentation of illustrative vignettes. We found that, rather than the linear, goal-oriented constitution of a univocal non-smoking identity, identity work entailed re-appraisals of the experience of liminality between smoking and non-smoking selves. Although the group participants reduced their tobacco consumption and some even quit, specific technologies of self sustained the smoking self alongside the non-smoking self. We propose that the social contextualisation of the smoker in the context of late modernity may explain the tolerance of chronic ambivalence and the constitution of a 'resistant' smoking- non-smoking self. Phenomenological accounts of the experience of this hybrid self may more fully explain protracted or failed cessation and further deconstruct binary readings of indulgence or control, addiction or abstinence and illness or wellness. Our findings call for the re-conceptualisation of the experience and outcome of protracted cessation and a tolerant policy-driven intervention.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine: the effectiveness of different forms of print-based self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to print-based self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search April 2014.

SELECTION CRITERIA

We included randomized trials of smoking cessation with follow-up of at least six months, where at least one arm tested a print-based self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

We identified 74 trials which met the inclusion criteria. Many study reports did not include sufficient detail to judge risk of bias for some domains. Twenty-eight studies (38%) were judged at high risk of bias for one or more domains but the overall risk of bias across all included studies was judged to be moderate, and unlikely to alter the conclusions.Thirty-four trials evaluated the effect of standard, non-tailored self-help materials. Pooling 11 of these trials in which there was no face-to-face contact and provision of structured self-help materials was compared to no intervention gave an estimate of benefit that just reached statistical significance (n = 13,241, risk ratio [RR] 1.19, 95% confidence interval [CI] 1.04 to 1.37). This analysis excluded two trials with strongly positive outcomes that introduced significant heterogeneity. Six further trials without face-to-face contact in which the control group received alternative written materials did not show evidence for an effect of the smoking self-help materials (n = 7023, RR 0.88, 95% CI 0.74 to 1.04). When these two subgroups were pooled, there was no longer evidence for a benefit of standard structured materials (n = 20,264, RR 1.06, 95% CI 0.95 to 1.18). We failed to find evidence of benefit from providing standard self-help materials when there was brief contact with all participants (5 trials, n = 3866, RR 1.17, 95% CI 0.96 to 1.42), or face-to-face advice for all participants (11 trials, n = 5365, RR 0.97, 95% CI 0.80 to 1.18).Thirty-one trials offered materials tailored for the characteristics of individual smokers, with controls receiving either no materials, or stage matched or non-tailored materials. Most of the trials used more than one mailing. Pooling these showed a benefit of tailored materials (n = 40,890, RR 1.28, 95% CI 1.18 to 1.37) with moderate heterogeneity (I² = 32%). The evidence is strongest for the subgroup of nine trials in which tailored materials were compared to no intervention (n = 13,437, RR 1.35, 95% CI 1.19 to 1.53), but also supports tailored materials as more helpful than standard materials. Part of this effect could be due to the additional contact or assessment required to obtain individual data, since the subgroup of 10 trials where the number of contacts was matched did not detect an effect (n = 11,024, RR 1.06, 95% CI 0.94 to 1.20). In two trials including a direct comparison between tailored materials and brief advice from a health care provider, there was no evidence of a difference, but confidence intervals were wide (n = 2992, RR 1.13, 95% CI 0.86 to 1.49).Only four studies evaluated self-help materials as an adjunct to nicotine replacement therapy, with no evidence of additional benefit (n = 2291, RR 1.05, 95% CI 0.88 to 1.25). A small number of other trials failed to detect benefits from using additional materials or targeted materials, or to find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Standard, print-based self-help materials increase quit rates compared to no intervention, but the effect is likely to be small. We did not find evidence that they have an additional benefit when used alongside other interventions such as advice from a healthcare professional, or nicotine replacement therapy. There is evidence that materials that are tailored for individual smokers are more effective than non-tailored materials, although the absolute size of effect is still small. Available evidence tested self-help interventions in high income countries; further research is needed to investigate their effect in contexts where more intensive support is not available.

Predictors of lapse and relapse to smoking in successful quitters in a varenicline post hoc analysis in Japanese smokers

BACKGROUND

The efficacy of the smoking-cessation agent varenicline has been reported in Asian smokers; however, few studies have investigated factors that contribute to lapse and relapse.

OBJECTIVE

This post hoc analysis aimed to identify predictors of smoking lapse and relapse.

METHODS

This was a post-hoc analysis based on a double-blind, placebo-controlled, randomized, parallel-group study in which Japanese smokers (aged 20-75 years) who smoked ≥ 10 cigarettes/day and were motivated to quit were randomized to receive varenicline (0.25 mg twice daily [BID], 0.5 mg BID, 1 mg BID) or placebo for 12 weeks followed by a 40-week non-treatment follow-up. For inclusion in this analysis, participants must have been nicotine dependent (Tobacco Dependence Screener score ≥ 5) and must have successfully quit smoking continuously for 4 weeks (weeks 9-12). Lapse was defined by answering yes to ≥ 1 question in the Nicotine Use Inventory. Relapse was defined by participants having smoked for ≥ 7 days during follow-up measured by the Nicotine Use Inventory.

RESULTS

Of the 619 randomized individuals, 515 had a Tobacco Dependence Screener score of ≥ 5, and 277 quit smoking continuously from weeks 9 to 12. Approximately 75% were male, with a mean (SD) BMI of 23.0 (3.0) kg/m(2). Maximum length of continuous abstinence (CA) during treatment and age (both P < 0.0001) were significant predictors of lapse. Maximum CA (P < 0.0001), age (P = 0.0002), Minnesota Nicotine Withdrawal Scale (MNWS) score for urge to smoke (P = 0.0019), and having made ≥ 1 serious quit attempt (P = 0.0063) were significant predictors of relapse. For participants with a maximum CA of 4 to 6 weeks versus those with a maximum CA of 10 to 11 weeks, the ORs for lapse and relapse were 4.649 (95% CI, 2.071-10.434) and 3.337 (95% CI, 1.538-7.239), respectively. In participants aged 21-34 years versus those aged 47-72 years, the ORs for lapse and relapse were 3.453 (95% CI 1.851, 6.441) and 3.442 (95% CI 1.795, 6.597), respectively. Participants with a MNWS urge to smoke score of 2 to 4 versus 0 had an OR for relapse of 3.175 (95% CI, 1.166-8.644). Participants having made ≥ 1 versus no serious quit attempts had an OR for relapse of 2.108 (95% CI, 1.168-3.805).

CONCLUSION

Shorter maximum CA and younger age at quit attempt were associated with increased risk of lapse and relapse. Higher MNWS urge to smoke score and having made ≥ 1 serious quit attempt were associated with increased relapse risk. ClinicalTrials.gov identifier: NCT00139750.

Randomized trial comparing mindfulness training for smokers to a matched control

Smoking continues to take an enormous toll on society, and although most smokers would like to quit, most are unsuccessful using existing therapies. These findings call on researchers to develop and test therapies that provide higher rates of long-term smoking abstinence. We report results of a randomized controlled trial comparing a novel smoking cessation treatment using mindfulness training to a matched control based on the American Lung Association's Freedom From Smoking program. Data were collected on 175 low socioeconomic status smokers in 2011-2012 in a medium sized midwestern city. A significant difference was not found in the primary outcome; intent-to-treat biochemically confirmed 6-month smoking abstinence rates were mindfulness=25.0%, control=17.9% (p=0.35). Differences favoring the mindfulness condition were found on measures of urges and changes in mindfulness, perceived stress, and experiential avoidance. While no significant differences were found in quit rates, the mindfulness intervention resulted in positive outcomes.

Clinical strategies to enhance the efficacy of nicotine replacement therapy for smoking cessation: a review of the literature

A number of smoking cessation pharmacotherapies have led to increases in quitting and thus to significant benefits to public health. Among existing medications, nicotine replacement therapy (NRT) has been available the longest, has the largest literature base in support, and is the only option for over-the-counter access. While the short-term efficacy of NRT is well documented in clinical trials, long-term abstinence rates associated with using NRT are modest, as most smokers will relapse. This literature review examines emerging clinical strategies to improve NRT efficacy. After an initial overview of NRT and its FDA-approved indications for use, we review randomized trials in which clinical delivery of NRT was manipulated and tested, in an attempt to enhance efficacy, through (1) duration of use (pre-quit and extended use), (2) amount of use (high-dose and combination NRT), (3) tailoring to specific smoker groups (genotype and phenotype), or (4) use of NRT for novel purposes (relapse prevention, temporary abstinence, cessation induction). Outcomes vary within and across topic area, and we highlight areas that offer stronger promise. Combination NRT likely represents the most promising strategy moving forward; other clinical strategies offer conflicting evidence but deserve further testing (pre-quit NRT or tailored treatment) or offer potential utility but are in need of further, direct tests. Some areas, though based on a limited set of studies, do not offer great promise (high-dose and extended treatment NRT). We conclude with a brief discussion of emergent NRT products (e.g., oral nicotine spray, among others), which may ultimately offer greater efficacy than current formulations. In order to further lower the prevalence of smoking, novel strategies designed to optimize NRT efficacy are needed.

Pharmacotherapy for smoking cessation: pharmacological principles and clinical practice

Strategies for assisting smoking cessation include behavioural counselling to enhance motivation and to support attempts to quit and pharmacological intervention to reduce nicotine reinforcement and withdrawal from nicotine. Three drugs are currently used as first line pharmacotherapy for smoking cessation, nicotine replacement therapy, bupropion and varenicline. Compared with placebo, the drug effect varies from 2.27 (95% CI 2.02, 2.55) for varenicline, 1.69 (95% CI 1.53, 1.85) for bupropion and 1.60 (95% CI 1.53, 1.68) for any form of nicotine replacement therapy. Despite some controversy regarding the safety of bupropion and varenicline, regulatory agencies consider these drugs as having a favourable benefit/risk profile. However, given the high rate of psychiatric comorbidity in dependent smokers, practitioners should closely monitor patients for neuropsychiatric symptoms. Second-line pharmacotherapies include nortriptyline and clonidine. This review also offers an overview of pipeline developments and issues related to smoking cessation in special populations such as persons with psychiatric comorbidity and pregnant and adolescent smokers.

Cost-effectiveness of extended cessation treatment for older smokers

AIMS

We examined the cost-effectiveness of extended smoking cessation treatment in older smokers.

DESIGN

Participants who completed a 12-week smoking cessation program were factorial randomized to extended cognitive behavioral treatment and extended nicotine replacement therapy.

SETTING

A free-standing smoking cessation clinic.

PARTICIPANTS

A total of 402 smokers aged 50 years and older were recruited from the community.

MEASUREMENTS

The trial measured biochemically verified abstinence from cigarettes after 2 years and the quantity of smoking cessation services utilized. Trial findings were combined with literature on changes in smoking status and the age- and gender-adjusted effect of smoking on health-care cost, mortality and quality of life over the long term in a Markov model of cost-effectiveness over a lifetime horizon.

FINDINGS

The addition of extended cognitive behavioral therapy added $83 in smoking cessation services cost [P = 0.012, confidence interval (CI) = $22-212]. At the end of follow-up, cigarette abstinence rates were 50.0% with extended cognitive behavioral therapy and 37.2% without this therapy (P < 0.05, odds ratio 1.69, CI 1.18-2.54). The model-based incremental cost-effectiveness ratio was $6324 per quality-adjusted life year (QALY). Probabilistic sensitivity analysis found that the additional $947 in lifetime cost of the intervention had a 95% confidence interval of -$331 to 2081; the 0.15 additional QALYs had a confidence interval of 0.035-0.280, and that the intervention was cost-effective against a $50 000/QALY acceptance criterion in 99.6% of the replicates. Extended nicotine replacement therapy was not cost-effective.

CONCLUSIONS

Adding extended cognitive behavior therapy to standard cessation treatment was cost-effective. Further intensification of treatment may be warranted.

Attentional bias retraining in cigarette smokers attempting smoking cessation (ARTS): study protocol for a double blind randomised controlled trial

BACKGROUND

Smokers attend preferentially to cigarettes and other smoking-related cues in the environment, in what is known as an attentional bias. There is evidence that attentional bias may contribute to craving and failure to stop smoking. Attentional retraining procedures have been used in laboratory studies to train smokers to reduce attentional bias, although these procedures have not been applied in smoking cessation programmes. This trial will examine the efficacy of multiple sessions of attentional retraining on attentional bias, craving, and abstinence in smokers attempting cessation.

METHODS/DESIGN

This is a double-blind randomised controlled trial. Adult smokers attending a 7-session weekly stop smoking clinic will be randomised to either a modified visual probe task with attentional retraining or placebo training. Training will start 1 week prior to quit day and be given weekly for 5 sessions. Both groups will receive 21 mg transdermal nicotine patches for 8-12 weeks and withdrawal-orientated behavioural support for 7 sessions. Primary outcome measures are the change in attentional bias reaction time and urge to smoke on the Mood and Physical Symptoms Scale at 4 weeks post-quit. Secondary outcome measures include differences in withdrawal, time to first lapse and prolonged abstinence at 4 weeks post-quit, which will be biochemically validated at each clinic visit. Follow-up will take place at 8 weeks, 3 months and 6 months post-quit.

DISCUSSION

This is the first randomised controlled trial of attentional retraining in smokers attempting cessation. This trial could provide proof of principle for a treatment aimed at a fundamental cause of addiction.

TRIAL REGISTRATION

Current Controlled Trials: ISRCTN54375405.

Predisposing, enabling and reinforcing factors associated with smoking relapse among hospital workers

OBJECTIVES

A better identification of the determinants of smoking relapse among hospital workers would be helpful in development of more effective interventions to decrease the frequency of relapses in this group. The aim of this study was to determine the predisposing enabling, and reinforcing factors associated with smoking relapse among workers at a university hospital.

METHODS

This was a case-control study based on a self-administered and structured questionnaire. Cases were all those workers who had relapsed after at least 6 months without smoking, and controls were ex-smokers without relapse for more than 6 months. We obtained the following information: sociodemographic and tobacco consumption characteristics and a list of predisposing, enabling and reinforcing factors.

RESULTS

There were 342 respondents: 114 cases and 228 controls. The variables significantly and independently associated with increased risk of relapse were smoking is my vice (OR=4.02), I'll be able to quit smoking whenever I want (OR=3.43), I have no intention to quit forever (OR=6.02), celebrations (OR=3.93) and weight gain (OR=10.61), while variables associated with lower risk were age (OR=0.88), health-care worker (OR=0.13), years of abstinence (OR=0.91), smoking is a useless habit (OR=0.19) and illness related to tobacco (OR=0.07).

CONCLUSIONS

Health programs against smoking in the hospital setting should include measures aimed at preventing relapse through behavioral support therapies and dietary control with particular attention to changes in factors related to lifestyle and false beliefs (predisposing factors).

Early lapses in a cessation attempt: lapse contexts, cessation success, and predictors of early lapse

INTRODUCTION

The great majority of smokers relapse when they make quit attempts. Therefore, understanding the process of relapse may guide the development of more effective smoking cessation or relapse prevention treatments. The goal of this research is to extend our understanding of the context of initial lapses that occur within 8 weeks of quitting by using more comprehensive assessments of context, a contemporary sample, and sophisticated analytic techniques.

METHODS

Participants from a randomized controlled smoking cessation trial completed baseline assessments of demographics and tobacco dependence, a daily smoking calendar to determine latency to lapse and relapse (7 consecutive days of smoking), and an assessment of initial lapse context (affect, location, activity, interpersonal, smoke exposure, and cigarette availability). Latent class analysis (LCA) was used to analyze the 6 early lapse (within the first 8 weeks; N = 551) context dimensions; logistic regression and Cox regression were used to relate context to cessation outcomes.

RESULTS

LCA revealed 5 distinct initial lapse context classes (talking, with friends, angry; social; alone; with spouse, angry; and with smoking spouse) that were differentially related to cessation outcome. The easy availability of cigarettes characterized almost 75% of lapses, but being with friends, drinking, and not being at home were associated with a lower likelihood of progression to relapse.

CONCLUSIONS

Early lapsing is highly related to ultimate relapse, and lapsing in frequently experienced contexts seemed most strongly linked with progression to full relapse.

Psychosocial interventions for supporting women to stop smoking in pregnancy

BACKGROUND

Tobacco smoking in pregnancy remains one of the few preventable factors associated with complications in pregnancy, stillbirth, low birthweight and preterm birth and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and increasing in low- to middle-income countries.

OBJECTIVES

To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes.

SEARCH METHODS

In this fifth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (1 March 2013), checked reference lists of retrieved studies and contacted trial authors to locate additional unpublished data.

SELECTION CRITERIA

Randomised controlled trials, cluster-randomised trials, randomised cross-over trials, and quasi-randomised controlled trials (with allocation by maternal birth date or hospital record number) of psychosocial smoking cessation interventions during pregnancy.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, and subgroup analyses and sensitivity analysis were conducted in SPSS.

MAIN RESULTS

Eighty-six trials were included in this updated review, with 77 trials (involving over 29,000 women) providing data on smoking abstinence in late pregnancy.In separate comparisons, counselling interventions demonstrated a significant effect compared with usual care (27 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.75), and a borderline effect compared with less intensive interventions (16 studies; average RR 1.35, 95% CI 1.00 to 1.82). However, a significant effect was only seen in subsets where counselling was provided in conjunction with other strategies. It was unclear whether any type of counselling strategy is more effective than others (one study; RR 1.15, 95% CI 0.86 to 1.53). In studies comparing counselling and usual care (the largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy (eight studies; average RR 1.06, 95% CI 0.93 to 1.21). However, a clear effect was seen in smoking abstinence at zero to five months postpartum (10 studies; average RR 1.76, 95% CI 1.05 to 2.95), a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77), and a significant effect at 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), but not in the longer term. In other comparisons, the effect was not significantly different from the null effect for most secondary outcomes, but sample sizes were small.Incentive-based interventions had the largest effect size compared with a less intensive intervention (one study; RR 3.64, 95% CI 1.84 to 7.23) and an alternative intervention (one study; RR 4.05, 95% CI 1.48 to 11.11).Feedback interventions demonstrated a significant effect only when compared with usual care and provided in conjunction with other strategies, such as counselling (two studies; average RR 4.39, 95% CI 1.89 to 10.21), but the effect was unclear when compared with a less intensive intervention (two studies; average RR 1.19, 95% CI 0.45 to 3.12).The effect of health education was unclear when compared with usual care (three studies; average RR 1.51, 95% CI 0.64 to 3.59) or less intensive interventions (two studies; average RR 1.50, 95% CI 0.97 to 2.31).Social support interventions appeared effective when provided by peers (five studies; average RR 1.49, 95% CI 1.01 to 2.19), but the effect was unclear in a single trial of support provided by partners.The effects were mixed where the smoking interventions were provided as part of broader interventions to improve maternal health, rather than targeted smoking cessation interventions.Subgroup analyses on primary outcome for all studies showed the intensity of interventions and comparisons has increased over time, with higher intensity interventions more likely to have higher intensity comparisons. While there was no significant difference, trials where the comparison group received usual care had the largest pooled effect size (37 studies; average RR 1.34, 95% CI 1.25 to 1.44), with lower effect sizes when the comparison group received less intensive interventions (30 studies; average RR 1.20, 95% CI 1.08 to 1.31), or alternative interventions (two studies; average RR 1.26, 95% CI 0.98 to 1.53). More recent studies included in this update had a lower effect size (20 studies; average RR 1.26, 95% CI 1.00 to 1.59), I(2)= 3%, compared to those in the previous version of the review (50 studies; average RR 1.50, 95% CI 1.30 to 1.73). There were similar effect sizes in trials with biochemically validated smoking abstinence (49 studies; average RR 1.43, 95% CI 1.22 to 1.67) and those with self-reported abstinence (20 studies; average RR 1.48, 95% CI 1.17 to 1.87). There was no significant difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however the effect was unclear in three dissemination trials of counselling interventions where the focus on the intervention was at an organisational level (average RR 0.96, 95% CI 0.37 to 2.50). The pooled effects were similar in interventions provided for women with predominantly low socio-economic status (44 studies; average RR 1.41, 95% CI 1.19 to 1.66), compared to other women (26 studies; average RR 1.47, 95% CI 1.21 to 1.79); though the effect was unclear in interventions among women from ethnic minority groups (five studies; average RR 1.08, 95% CI 0.83 to 1.40) and aboriginal women (two studies; average RR 0.40, 95% CI 0.06 to 2.67). Importantly, pooled results demonstrated that women who received psychosocial interventions had an 18% reduction in preterm births (14 studies; average RR 0.82, 95% CI 0.70 to 0.96), and infants born with low birthweight (14 studies; average RR 0.82, 95% CI 0.71 to 0.94). There did not appear to be any adverse effects from the psychosocial interventions, and three studies measured an improvement in women's psychological wellbeing.

AUTHORS' CONCLUSIONS

Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy, and reduce low birthweight and preterm births.

Extended interactive voice response telephony (IVR) for relapse prevention after smoking cessation using varenicline and IVR: a pilot study

Background

There is a significant resumption of smoking following smoking cessation using varenicline. Both smoking cessation medications and counseling have been shown to increase smoking quit rates at one year. Thus, the combination of varenicline and interactive voice response (IVR) telephony followed by extended IVR may further improve smoking cessation rates at one and two years.

Methods

101 participants were recruited from the community via newspaper advertisement. They attended a group counseling session and were given smoking information booklets from the Canadian Cancer Society.

After 12 weeks of varenicline and 9 IVR calls, all participants who had quit smoking were randomized into 2 groups matched by levels of motivation and addiction as per baseline questionnaire score. The intervention group continued to receive bi-weekly IVR support for weeks 13 – 52. The control group no longer received IVR. The primary end-point was self-reported abstinence and exhaled carbon monoxide levels of less than 10 ppm for weeks 12, 52 and 2 years. Data were analyzed by Fisher’s exact test or Wilcoxon rank-sum test.

Results

Of the 101 participants, 44 (43%) had stopped smoking after 12 weeks of varenicline and 9 IVR calls. Of these, 23 (52%) were randomized to receive IVR calls from weeks 13 to 52.

At 52 weeks, 26 (59%) participants remained smoke-free. Of the 23 with IVR, 12 (52.2%) stopped smoking compared to 14 of 21 (66.7%) without IVR. At 2 years, 40 of the 44 (90.9%) randomized participants were contacted and 24 of the 44 (54.5%) came in for testing. Fourteen (13% of the original cohort, 30% who were abstinent at 12 weeks and 53% who were abstinent at 52 weeks) remained smoke-free. Five of the 23 (21.7%) randomized to IVR and 9 of the 21 (42.9%) randomized to no IVR remained smoke-free at 2 years.

Conclusions

In this pilot study of an apparently healthy population, extended IVR did not affect abstinence rates. There was no relapse prevention benefit in offering 9 months of continued IVR to subjects who had stopped smoking after receiving 3 months of varenicline and IVR treatment.

Trial registration

ClinicalTrial.gov: NCT00832806

Predictors of success at six-month follow-up at a public smoking cessation clinic in South Korea

INTRODUCTION

Our objective was to identify the factors related to returning to smoking by analyzing data obtained from a smoking cessation clinic.

METHODS

We analyzed data from 2,089 subjects (age 44.0 ± 12.9 years) who started a smoking cessation program between 16 July 2007 and 31 December 2008 in a community health center in the city of Ulsan. We analyzed demographic information and clinical variables using Kaplan-Meier survival analysis and calculated the hazard ratio for returning to smoking.

RESULTS

Mean abstinence time differed according to the following factors: sex, past attempts to quit, employment status, type of health insurance, CO levels, results from Fagerstrom test for nicotine dependence (FTND), number of cigarettes smoked daily, use of a nicotine replacement, and number of contacts in the program. Using multivariate analysis, we identified negative relationships between treatment intensity and hazard ratio for the following: visits ≤4 (Exp(B) = 3.752, P < 0.001, reference: 5 visits ≤), telephone contacts ≤5 (Exp(B) = 10.528, P < 0.001, reference: 6 calls ≤) and SMS ≤ 20 (Exp(B) = 3.821, P < 0.001 in 0-10 group; Exp(B) = 1.407, P = 0.003 for the 11-20 group; reference: 21 messages ≤).

DISCUSSION

Type of insurance, baseline CO, FTND level, and intensity of smoking cessation intervention positively affects outcomes in a smoking cessation clinic. A cost-effectiveness study on the intensity of interventions in smoking cessation clinics is needed.

Relapse prevention interventions for smoking cessation

BACKGROUND

A number of treatments can help smokers make a successful quit attempt, but many initially successful quitters relapse over time. Several interventions have been proposed to help prevent relapse.

OBJECTIVES

To assess whether specific interventions for relapse prevention reduce the proportion of recent quitters who return to smoking.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register in May 2013 for studies mentioning relapse prevention or maintenance in title, abstracts or keywords.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials of relapse prevention interventions with a minimum follow-up of six months. We included smokers who quit on their own, were undergoing enforced abstinence, or were participating in treatment programmes. We included trials that compared relapse prevention interventions with a no intervention control, or that compared a cessation programme with additional relapse prevention components with a cessation programme alone.

DATA COLLECTION AND ANALYSIS

Studies were screened and data extracted by one review author, and checked by a second. Disagreements were resolved by discussion or by referral to a third review author.

MAIN RESULTS

Sixty-three studies met inclusion criteria but were heterogeneous in terms of populations and interventions. We considered 41 studies that randomly assigned abstainers separately from studies that randomly assigned participants before their quit date.Upon looking at studies of behavioural interventions that randomly assigned abstainers, we detected no benefit of brief and 'skills-based' relapse prevention methods for women who had quit smoking because of pregnancy, or for smokers undergoing a period of enforced abstinence during hospitalisation or military training. We also failed to detect significant effects of behavioural interventions in trials in unselected groups of smokers who had quit on their own or through a formal programme. Amongst trials randomly assigning smokers before their quit date and evaluating the effects of additional relapse prevention components, we found no evidence of benefit of behavioural interventions or combined behavioural and pharmacotherapeutic interventions in any subgroup. Overall, providing training in skills thought to be needed for relapse avoidance did not reduce relapse, but most studies did not use experimental designs best suited to the task and had limited power to detect expected small differences between interventions. For pharmacological interventions, extended treatment with varenicline significantly reduced relapse in one trial (risk ratio (RR) 1.18, 95% confidence interval (CI) 1.03 to 1.36). Pooling of six studies of extended treatment with bupropion failed to detect a significant effect (RR 1.15, 95% CI 0.98 to 1.35). Two small trials of oral nicotine replacement treatment (NRT) failed to detect an effect, but treatment compliance was low, and in two other trials of oral NRT in which short-term abstainers were randomly assigned, a significant effect of intervention was noted.

AUTHORS' CONCLUSIONS

At the moment, there is insufficient evidence to support the use of any specific behavioural intervention to help smokers who have successfully quit for a short time to avoid relapse. The verdict is strongest for interventions focused on identifying and resolving tempting situations, as most studies were concerned with these. Little research is available regarding other behavioural approaches.Extended treatment with varenicline may prevent relapse. Extended treatment with bupropion is unlikely to have a clinically important effect. Studies of extended treatment with nicotine replacement are needed.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013.

SELECTION CRITERIA

randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings.

MAIN RESULTS

Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect.

AUTHORS' CONCLUSIONS

Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.

Brief meditation training induces smoking reduction

More than 5 million deaths a year are attributable to tobacco smoking, but attempts to help people either quit or reduce their smoking often fail, perhaps in part because the intention to quit activates brain networks related to craving. We recruited participants interested in general stress reduction and randomly assigned them to meditation training or a relaxation training control. Among smokers, 2 wk of meditation training (5 h in total) produced a significant reduction in smoking of 60%; no reduction was found in the relaxation control. Resting-state brain scans showed increased activity for the meditation group in the anterior cingulate and prefrontal cortex, brain areas related to self-control. These results suggest that brief meditation training improves self-control capacity and reduces smoking.

Pharmacological interventions for smoking cessation: an overview and network meta-analysis

BACKGROUND

Smoking is the leading preventable cause of illness and premature death worldwide. Some medications have been proven to help people to quit, with three licensed for this purpose in Europe and the USA: nicotine replacement therapy (NRT), bupropion, and varenicline. Cytisine (a treatment pharmacologically similar to varenicline) is also licensed for use in Russia and some of the former socialist economy countries. Other therapies, including nortriptyline, have also been tested for effectiveness.

OBJECTIVES

How do NRT, bupropion and varenicline compare with placebo and with each other in achieving long-term abstinence (six months or longer)? How do the remaining treatments compare with placebo in achieving long-term abstinence? How do the risks of adverse and serious adverse events (SAEs) compare between the treatments, and are there instances where the harms may outweigh the benefits?

METHODS

The overview is restricted to Cochrane reviews, all of which include randomised trials. Participants are usually adult smokers, but we exclude reviews of smoking cessation for pregnant women and in particular disease groups or specific settings. We cover nicotine replacement therapy (NRT), antidepressants (bupropion and nortriptyline), nicotine receptor partial agonists (varenicline and cytisine), anxiolytics, selective type 1 cannabinoid receptor antagonists (rimonabant), clonidine, lobeline, dianicline, mecamylamine, Nicobrevin, opioid antagonists, nicotine vaccines, and silver acetate. Our outcome for benefit is continuous or prolonged abstinence at least six months from the start of treatment. Our outcome for harms is the incidence of serious adverse events associated with each of the treatments. We searched the Cochrane Database of Systematic Reviews (CDSR) in The Cochrane Library, for any reviews with 'smoking' in the title, abstract or keyword fields. The last search was conducted in November 2012. We assessed methodological quality using a revised version of the AMSTAR scale. For NRT, bupropion and varenicline we conducted network meta-analyses, comparing each with the others and with placebo for benefit, and varenicline and bupropion for risks of serious adverse events.

MAIN RESULTS

We identified 12 treatment-specific reviews. The analyses covered 267 studies, involving 101,804 participants. Both NRT and bupropion were superior to placebo (odds ratios (OR) 1.84; 95% credible interval (CredI) 1.71 to 1.99, and 1.82; 95% CredI 1.60 to 2.06 respectively). Varenicline increased the odds of quitting compared with placebo (OR 2.88; 95% CredI 2.40 to 3.47). Head-to-head comparisons between bupropion and NRT showed equal efficacy (OR 0.99; 95% CredI 0.86 to 1.13). Varenicline was superior to single forms of NRT (OR 1.57; 95% CredI 1.29 to 1.91), and to bupropion (OR 1.59; 95% CredI 1.29 to 1.96). Varenicline was more effective than nicotine patch (OR 1.51; 95% CredI 1.22 to 1.87), than nicotine gum (OR 1.72; 95% CredI 1.38 to 2.13), and than 'other' NRT (inhaler, spray, tablets, lozenges; OR 1.42; 95% CredI 1.12 to 1.79), but was not more effective than combination NRT (OR 1.06; 95% CredI 0.75 to 1.48). Combination NRT also outperformed single formulations. The four categories of NRT performed similarly against each other, apart from 'other' NRT, which was marginally more effective than NRT gum (OR 1.21; 95% CredI 1.01 to 1.46). Cytisine (a nicotine receptor partial agonist) returned positive findings (risk ratio (RR) 3.98; 95% CI 2.01 to 7.87), without significant adverse events or SAEs. Across the 82 included and excluded bupropion trials, our estimate of six seizures in the bupropion arms versus none in the placebo arms was lower than the expected rate (1:1000), at about 1:1500. SAE meta-analysis of the bupropion studies demonstrated no excess of neuropsychiatric (RR 0.88; 95% CI 0.31 to 2.50) or cardiovascular events (RR 0.77; 95% CI 0.37 to 1.59). SAE meta-analysis of 14 varenicline trials found no difference between the varenicline and placebo arms (RR 1.06; 95% CI 0.72 to 1.55), and subgroup analyses detected no significant excess of neuropsychiatric events (RR 0.53; 95% CI 0.17 to 1.67), or of cardiac events (RR 1.26; 95% CI 0.62 to 2.56). Nortriptyline increased the chances of quitting (RR 2.03; 95% CI 1.48 to 2.78). Neither nortriptyline nor bupropion were shown to enhance the effect of NRT compared with NRT alone. Clonidine increased the chances of quitting (RR 1.63; 95% CI 1.22 to 2.18), but this was offset by a dose-dependent rise in adverse events. Mecamylamine in combination with NRT may increase the chances of quitting, but the current evidence is inconclusive. Other treatments failed to demonstrate a benefit compared with placebo. Nicotine vaccines are not yet licensed for use as an aid to smoking cessation or relapse prevention. Nicobrevin's UK license is now revoked, and the manufacturers of rimonabant, taranabant and dianicline are no longer supporting the development or testing of these treatments.

AUTHORS' CONCLUSIONS

NRT, bupropion, varenicline and cytisine have been shown to improve the chances of quitting. Combination NRT and varenicline are equally effective as quitting aids. Nortriptyline also improves the chances of quitting. On current evidence, none of the treatments appear to have an incidence of adverse events that would mitigate their use. Further research is warranted into the safety of varenicline and into cytisine's potential as an effective and affordable treatment, but not into the efficacy and safety of NRT.

Forced smoking abstinence: not enough for smoking cessation

IMPORTANCE

Millions of Americans are forced to quit smoking as they enter tobacco-free prisons and jails, but most return to smoking within days of release. Interventions are needed to sustain tobacco abstinence after release from incarceration.

OBJECTIVE

To evaluate the extent to which the WISE intervention (Working Inside for Smoking Elimination), based on motivational interviewing (MI) and cognitive behavioral therapy (CBT), decreases relapse to smoking after release from a smoke-free prison.

DESIGN

Participants were recruited approximately 8 weeks prior to their release from a smoke-free prison and randomized to 6 weekly sessions of either education videos (control) or the WISE intervention.

SETTING

A tobacco-free prison in the United States.

PARTICIPANTS

A total of 262 inmates (35% female).

MAIN OUTCOME MEASURE

Continued smoking abstinence was defined as 7-day point-prevalence abstinence validated by urine cotinine measurement.

RESULTS

At the 3-week follow-up, 25% of participants in the WISE intervention (31 of 122) and 7% of the control participants (9 of 125) continued to be tobacco abstinent (odds ratio [OR], 4.4; 95% CI, 2.0-9.7). In addition to the intervention, Hispanic ethnicity, a plan to remain abstinent, and being incarcerated for more than 6 months were all associated with increased likelihood of remaining abstinent. In the logistic regression analysis, participants randomized to the WISE intervention were 6.6 times more likely to remain tobacco abstinent at the 3-week follow up than those randomized to the control condition (95% CI, 2.5-17.0). Nonsmokers at the 3-week follow-up had an additional follow-up 3 months after release, and overall 12% of the participants in the WISE intervention (14 of 122) and 2% of the control participants (3 of 125) were tobacco free at 3 months, as confirmed by urine cotinine measurement (OR, 5.3; 95% CI, 1.4-23.8).

CONCLUSIONS AND RELEVANCE

Forced tobacco abstinence alone during incarceration has little impact on postrelease smoking status. A behavioral intervention provided prior to release greatly improves cotinine-confirmed smoking cessation in the community.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01122589.

Interventions to address chronic disease and HIV: strategies to promote smoking cessation among HIV-infected individuals

Tobacco use, especially cigarette smoking, is higher than average in persons living with HIV/AIDS (PLWHA). The Public Health Service Clinical Practice Guideline for Treating Tobacco Use and Dependence states that, during every medical encounter, all smokers should be offered smoking cessation counseling, along with approved medications. The Guideline also recognizes PLWHA as a priority population, given the scarcity of research on effective cessation treatments in this group. The scant evidence suggests that conventional treatments, though worthwhile, are not as successful as might be hoped for. The reasons for this are not entirely clear, but may have to do with the complex array of medical and psychosocial factors that complicate their lives. Clinicians should consider re-treatment strategies for those patients who encounter difficulty when quitting smoking with conventional approaches, switching or augmenting treatments as needed to minimize adverse experiences, and to maximize tolerability, adherence, and cessation outcomes.