Impact of bupropion and cognitive-behavioral treatment for depression on positive affect, negative affect, and urges to smoke during cessation treatment

Antidepressants for smoking cessation

BACKGROUND

The pharmacological profiles and mechanisms of antidepressants are varied. However, there are common reasons why they might help people to stop smoking tobacco: nicotine withdrawal can produce short-term low mood that antidepressants may relieve; and some antidepressants may have a specific effect on neural pathways or receptors that underlie nicotine addiction.

OBJECTIVES

To assess the evidence for the efficacy, harms, and tolerability of medications with antidepressant properties in assisting long-term tobacco smoking cessation in people who smoke cigarettes.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, most recently on 29 April 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) in people who smoked, comparing antidepressant medications with placebo or no pharmacological treatment, an alternative pharmacotherapy, or the same medication used differently. We excluded trials with fewer than six months of follow-up from efficacy analyses. We included trials with any follow-up length for our analyses of harms.

DATA COLLECTION AND ANALYSIS

We extracted data and assessed risk of bias using standard Cochrane methods. Our primary outcome measure was smoking cessation after at least six months' follow-up. We used the most rigorous definition of abstinence available in each trial, and biochemically validated rates if available. Our secondary outcomes were harms and tolerance outcomes, including adverse events (AEs), serious adverse events (SAEs), psychiatric AEs, seizures, overdoses, suicide attempts, death by suicide, all-cause mortality, and trial dropouts due to treatment. We carried out meta-analyses where appropriate.

MAIN RESULTS

We included a total of 124 studies (48,832 participants) in this review, with 10 new studies added to this update version. Most studies recruited adults from the community or from smoking cessation clinics; four studies focused on adolescents (with participants between 12 and 21 years old). We judged 34 studies to be at high risk of bias; however, restricting analyses only to studies at low or unclear risk of bias did not change clinical interpretation of the results.  There was high-certainty evidence that bupropion increased smoking cessation rates when compared to placebo or no pharmacological treatment (RR 1.60, 95% CI 1.49 to 1.72; I2 = 16%; 50 studies, 18,577 participants). There was moderate-certainty evidence that a combination of bupropion and varenicline may have resulted in superior quit rates to varenicline alone (RR 1.21, 95% CI 0.95 to 1.55; I2 = 15%; 3 studies, 1057 participants). However, there was insufficient evidence to establish whether a combination of bupropion and nicotine replacement therapy (NRT) resulted in superior quit rates to NRT alone (RR 1.17, 95% CI 0.95 to 1.44; I2 = 43%; 15 studies, 4117 participants; low-certainty evidence). There was moderate-certainty evidence that participants taking bupropion were more likely to report SAEs than those taking placebo or no pharmacological treatment. However, results were imprecise and the CI also encompassed no difference (RR 1.16, 95% CI 0.90 to 1.48; I2 = 0%; 23 studies, 10,958 participants). Results were also imprecise when comparing SAEs between people randomised to a combination of bupropion and NRT versus NRT alone (RR 1.52, 95% CI 0.26 to 8.89; I2 = 0%; 4 studies, 657 participants) and randomised to bupropion plus varenicline versus varenicline alone (RR 1.23, 95% CI 0.63 to 2.42; I2 = 0%; 5 studies, 1268 participants). In both cases, we judged evidence to be of low certainty. There was high-certainty evidence that bupropion resulted in more trial dropouts due to AEs than placebo or no pharmacological treatment (RR 1.44, 95% CI 1.27 to 1.65; I2 = 2%; 25 studies, 12,346 participants). However, there was insufficient evidence that bupropion combined with NRT versus NRT alone (RR 1.67, 95% CI 0.95 to 2.92; I2 = 0%; 3 studies, 737 participants) or bupropion combined with varenicline versus varenicline alone (RR 0.80, 95% CI 0.45 to 1.45; I2 = 0%; 4 studies, 1230 participants) had an impact on the number of dropouts due to treatment. In both cases, imprecision was substantial (we judged the evidence to be of low certainty for both comparisons). Bupropion resulted in inferior smoking cessation rates to varenicline (RR 0.73, 95% CI 0.67 to 0.80; I2 = 0%; 9 studies, 7564 participants), and to combination NRT (RR 0.74, 95% CI 0.55 to 0.98; I2 = 0%; 2 studies; 720 participants). However, there was no clear evidence of a difference in efficacy between bupropion and single-form NRT (RR 1.03, 95% CI 0.93 to 1.13; I2 = 0%; 10 studies, 7613 participants). We also found evidence that nortriptyline aided smoking cessation when compared with placebo (RR 2.03, 95% CI 1.48 to 2.78; I2 = 16%; 6 studies, 975 participants), and some evidence that bupropion resulted in superior quit rates to nortriptyline (RR 1.30, 95% CI 0.93 to 1.82; I2 = 0%; 3 studies, 417 participants), although this result was subject to imprecision. Findings were sparse and inconsistent as to whether antidepressants, primarily bupropion and nortriptyline, had a particular benefit for people with current or previous depression.

AUTHORS' CONCLUSIONS

There is high-certainty evidence that bupropion can aid long-term smoking cessation. However, bupropion may increase SAEs (moderate-certainty evidence when compared to placebo/no pharmacological treatment). There is high-certainty evidence that people taking bupropion are more likely to discontinue treatment compared with people receiving placebo or no pharmacological treatment. Nortriptyline also appears to have a beneficial effect on smoking quit rates relative to placebo, although bupropion may be more effective. Evidence also suggests that bupropion may be as successful as single-form NRT in helping people to quit smoking, but less effective than combination NRT and varenicline. In most cases, a paucity of data made it difficult to draw conclusions regarding harms and tolerability. Further studies investigating the efficacy of bupropion versus placebo are unlikely to change our interpretation of the effect, providing no clear justification for pursuing bupropion for smoking cessation over other licensed smoking cessation treatments; namely, NRT and varenicline. However, it is important that future studies of antidepressants for smoking cessation measure and report on harms and tolerability.

Improving the Hope and Happiness of Patients With an Ostomy: Effects of Group Cognitive Therapy

PURPOSE

The purpose of this study was to evaluate the effectiveness of group cognitive therapy (GCT) on hope and happiness in patients with ostomy.

DESIGN

A single-group before-after study.

SUBJECTS AND SETTING

The sample comprised 30 patients living with an ostomy for at least 30 days. Their mean age was 64.5 (SD 10.5) years; most were male (66.7%, n = 20).

METHODS

The study setting was a large ostomy care center in the city of Kerman, located in southeastern Iran. The intervention was 12 GCT sessions, each lasted 90 minutes. Data were collected before and 1 month after GCT sessions using a questionnaire designed for purposes of this study. The questionnaire queried demographic and pertinent clinical data, and incorporated 2 validated instruments: the Miller Hope Scale and the Oxford Happiness Inventory.

RESULTS

The mean pretest score on the Miller Hope Scale was 121.9 (SD 16.7) and the mean score on the Oxford Happiness Scale was 31.9 (SD 7.8); posttest mean scores were 180.4 (SD 12.1) and 53.4 (SD 8.3), respectively. Scores on both instruments significantly increased in patients living with an ostomy following 3 GCT sessions (P = .0001).

CONCLUSION

Findings suggest that GCT enhances hope and happiness in persons living with an ostomy.

Effects of cigarette abstinence on negative and positive affect by depression symptom levels: A lab study

BACKGROUND

High negative affect and low positive affect are key depression-related states that may be greater following acute tobacco abstinence. This study aimed to test associations between depression symptom levels and acute tobacco abstinence with negative affect and positive affect.

METHODS

Following a baseline session, participants attended two counterbalanced laboratory sessions (non-abstinent, abstinent) and completed measures of positive and negative affect at rest (i.e., when not completing a task) and during a film clip task.

RESULTS

Individuals with elevated depression symptoms had higher negative affect and lower positive affect at rest and during the film clip task compared to individuals with low depression symptoms. There was no interaction of depression symptom levels and abstinence on negative and positive affect at rest. There was an interaction of depression symptom level and abstinence on negative and positive affect during the film clip task. Individuals with elevated depression showed significant differences in positive and negative affect between the abstinent and non-abstinent session, but no significant abstinence effects were noted in individuals with low depression symptoms.

LIMITATIONS

The study included a non-treatment seeking sample and experimentally induced acute cigarette abstinence. We excluded for the use of smoking cessation medications that are also used to treat depression, classified depression levels using dichotomized CES-D scores, and used self-report measures of affect.

CONCLUSIONS

Results of this study suggest individuals with elevated depression symptoms who smoke experience elevated negative affect and lower positive affect and cigarette abstinence may uniquely alter affective reactivity in individuals with elevated depression symptoms.

Feature-level analysis of a smoking cessation smartphone app that uses a positive psychology approach (Preprint)

Background

Smoking cessation smartphone apps have emerged as highly accessible tools to support smoking cessation efforts. It is unknown how specific app features contribute to user engagement over time and relate to smoking outcomes.

Objective

To provide a feature-level analysis of the Smiling Instead of Smoking app (version 2) and to link feature use to subsequent smoking cessation.

Methods

Nondaily smokers (N=100) used the app for a period of 49 days (1 week before quitting and 6 weeks after quitting). Participants self-reported 30-day point-prevalence abstinence at the end of this period and at a 6-month follow up (the survey response rate was 94% and 89% at these points, respectively). Self-reported 30-day point prevalence abstinence rates were 40% at the end of treatment and 56% at the 6-month follow up. The app engaged users in both positive psychology content and traditional behavioral smoking cessation content. The app sent push notifications to prompt participants to complete prescribed content (ie, a “happiness exercise” every day and a “behavioral challenge” to use the app’s smoking cessation tools on 15 out of 49 days). Actions that participants took within the app were timestamped and recorded.

Results

Participants used the app on 24.7 (SD 13.8) days out of the 49 prescribed days, interacting with the happiness content on more days than the smoking content (23.8, SD 13.8 days vs 17.8, SD 10.3 days; t₉₉=9.28 [2-tailed]; P<.001). The prescribed content was frequently completed (45% of happiness exercises; 57% of behavioral challenges) and ad libitum tools were used on ≤7 days. Most participants used each ad libitum smoking cessation tool at least once, with higher use of personalized content (≥92% used “strategies,” “cigarette log,” “smoke alarms,” and “personal reasons”) than purely didactic content (79% viewed “benefits of quitting smoking”). The number of days participants used the app significantly predicted 30-day point-prevalence abstinence at the end of treatment (odds ratio [OR] 1.05, 95% CI 1.02-1.09; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.008-1.07; P=.01). The number of days participants engaged with the happiness content significantly predicted smoking abstinence at the end of treatment (OR 1.05, 95% CI 1.02-1.08; P=.002) and at the 6-month follow up (OR 1.04, 95% CI 1.007-1.07; P=.02). This effect was not significant for the number of days participants engaged with the smoking cessation content of the app, either at the end of treatment (OR 1.04, 95% CI 0.996-1.08, P=.08) or at the 6-month follow up (OR 1.02, 95% CI 0.98-1.06; P=.29).

Conclusions

Greater app usage predicted greater odds of self-reported 30-day point-prevalence abstinence at both the end of treatment and over the long term, suggesting that the app had a therapeutic benefit. Positive psychology content and prescriptive clarity may promote sustained app engagement over time.

Trial Registration

ClinicalTrials.gov NCT03951766; https://clinicaltrials.gov/ct2/show/NCT03951766

Affect and subjective cognitive functioning by depression symptom levels during naturalistic cigarette smoking in premenopausal females who smoke daily

Objective: High negative affect, low positive affect, and low cognitive functioning are depression-related states that may be particularly relevant to females who smoke cigarettes and may be more prominent following overnight tobacco abstinence. This study aimed to assess relations between depression symptom levels and negative affect, positive affect, and subjective cognitive functioning in premenopausal females who smoke. Methods: Premenopausal females who smoke daily with low (n = 66) or elevated (n = 33) baseline depression symptoms completed subjective ratings of negative affect, positive affect, and cognitive functioning pre-first cigarette (i.e., after overnight tobacco abstinence) and at random prompts throughout the day via ecological momentary assessment (EMA) for 35 days. Results: Participants with elevated depression symptoms reported overall higher negative affect (p = .01). Positive affect was significantly lower prior to the first cigarette of the day (p < .001), but did not significantly differ between depression symptom groups. Subjective cognitive functioning was significantly lower pre-first cigarette of the day (p < .001). There was a significant Depression Symptom × Prompt Type interaction for subjective cognitive functioning (p = .01). Subjective cognitive functioning did not significantly differ by depression symptom group pre-first cigarette of the day but was significantly different at random prompts throughout the day. Conclusions: As participants smoked as usual, findings identify naturalistic factors which may influence smoking behavior among premenopausal females who smoke with elevated depression symptoms. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Possible New Symptoms of Tobacco Withdrawal III: Reduced Positive Affect-A Review and Meta-analysis

INTRODUCTION

Most descriptions of tobacco withdrawal have not changed in >30 years despite new research. This meta-analysis tested whether abstinence leads to decreased positive affect (PA) because abstinence-induced symptom changes are a core feature of the tobacco withdrawal syndrome. In addition, we examined whether reduced PA was due to withdrawal (ie, temporary decrease in a "U-shaped" curve) or offset (ie, return to baseline) effect.

METHODS

Our main inclusion criterion was a prospective within-participant test of change in PA during abstinence conditions among people who smoke cigarettes daily who were not using a cessation medication. Our search of PubMed, PsycINFO, and personal libraries yielded a total of 32 tests with 2054 participants.

RESULTS

There was a medium effect size indicating an overall decrease in PA following abstinence from cigarettes (Cohen's d = -0.40, 95% CI = -0.30 to -0.49). There was large heterogeneity (I2 = 70.7%). Most (79%) of the 24 trials that conducted significance tests reported that reduction in PA was significant. Seven tests were adequately designed to detect a withdrawal versus offset effect. Over half (57%) displayed a U-shaped curve for abstinence-induced change in PA indicative of a withdrawal symptom rather than offset effect.

CONCLUSIONS

Abstinence from cigarettes is associated with a decrease in PA. Whether low PA should be added to withdrawal measures and diagnostic criteria requires replication of the time-course of change in PA and tests of whether abstinence-induced changes in PA and negative affect occur independently.

IMPLICATIONS

Though there was substantial heterogeneity among trials, our findings suggest that (1) abstinence from cigarettes decreases positive affect and (2) this decrease may represent a withdrawal effect (vs. an offset effect). However, it is unclear whether abstinence-induced losses in positive affect are independent from increased negative affect.

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

INTRODUCTION

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

AIMS AND METHODS

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

RESULTS

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

CONCLUSION

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

IMPLICATIONS

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

Antidepressants for smoking cessation

BACKGROUND

Whilst the pharmacological profiles and mechanisms of antidepressants are varied, there are common reasons why they might help people to stop smoking tobacco. Firstly, nicotine withdrawal may produce depressive symptoms and antidepressants may relieve these. Additionally, some antidepressants may have a specific effect on neural pathways or receptors that underlie nicotine addiction.

OBJECTIVES

To assess the evidence for the efficacy, safety and tolerability of medications with antidepressant properties in assisting long-term tobacco smoking cessation in people who smoke cigarettes.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Specialized Register, which includes reports of trials indexed in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and PsycINFO, clinicaltrials.gov, the ICTRP, and other reviews and meeting abstracts, in May 2019.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) that recruited smokers, and compared antidepressant medications with placebo or no treatment, an alternative pharmacotherapy, or the same medication used in a different way. We excluded trials with less than six months follow-up from efficacy analyses. We included trials with any follow-up length in safety analyses.

DATA COLLECTION AND ANALYSIS

We extracted data and assessed risk of bias using standard Cochrane methods. We also used GRADE to assess the certainty of the evidence. The primary outcome measure was smoking cessation after at least six months follow-up, expressed as a risk ratio (RR) and 95% confidence intervals (CIs). We used the most rigorous definition of abstinence available in each trial, and biochemically validated rates if available. Where appropriate, we performed meta-analysis using a fixed-effect model. Similarly, we presented incidence of safety and tolerance outcomes, including adverse events (AEs), serious adverse events (SAEs), psychiatric AEs, seizures, overdoses, suicide attempts, death by suicide, all-cause mortality, and trial dropout due to drug, as RRs (95% CIs).

MAIN RESULTS

We included 115 studies (33 new to this update) in this review; most recruited adult participants from the community or from smoking cessation clinics. We judged 28 of the studies to be at high risk of bias; however, restricting analyses only to studies at low or unclear risk did not change clinical interpretation of the results. There was high-certainty evidence that bupropion increased long-term smoking cessation rates (RR 1.64, 95% CI 1.52 to 1.77; I2 = 15%; 45 studies, 17,866 participants). There was insufficient evidence to establish whether participants taking bupropion were more likely to report SAEs compared to those taking placebo. Results were imprecise and CIs encompassed no difference (RR 1.16, 95% CI 0.90 to 1.48; I2 = 0%; 21 studies, 10,625 participants; moderate-certainty evidence, downgraded one level due to imprecision). We found high-certainty evidence that use of bupropion resulted in more trial dropouts due to adverse events of the drug than placebo (RR 1.37, 95% CI 1.21 to 1.56; I2 = 19%; 25 studies, 12,340 participants). Participants randomized to bupropion were also more likely to report psychiatric AEs compared with those randomized to placebo (RR 1.25, 95% CI 1.15 to 1.37; I2 = 15%; 6 studies, 4439 participants). We also looked at the safety and efficacy of bupropion when combined with other non-antidepressant smoking cessation therapies. There was insufficient evidence to establish whether combination bupropion and nicotine replacement therapy (NRT) resulted in superior quit rates to NRT alone (RR 1.19, 95% CI 0.94 to 1.51; I2 = 52%; 12 studies, 3487 participants), or whether combination bupropion and varenicline resulted in superior quit rates to varenicline alone (RR 1.21, 95% CI 0.95 to 1.55; I2 = 15%; 3 studies, 1057 participants). We judged the certainty of evidence to be low and moderate, respectively; in both cases due to imprecision, and also due to inconsistency in the former. Safety data were sparse for these comparisons, making it difficult to draw clear conclusions. A meta-analysis of six studies provided evidence that bupropion resulted in inferior smoking cessation rates to varenicline (RR 0.71, 95% CI 0.64 to 0.79; I2 = 0%; 6 studies, 6286 participants), whilst there was no evidence of a difference in efficacy between bupropion and NRT (RR 0.99, 95% CI 0.91 to 1.09; I2 = 18%; 10 studies, 8230 participants). We also found some evidence that nortriptyline aided smoking cessation when compared with placebo (RR 2.03, 95% CI 1.48 to 2.78; I2 = 16%; 6 studies, 975 participants), whilst there was insufficient evidence to determine whether bupropion or nortriptyline were more effective when compared with one another (RR 1.30 (favouring bupropion), 95% CI 0.93 to 1.82; I2 = 0%; 3 studies, 417 participants). There was no evidence that any of the other antidepressants tested (including St John's Wort, selective serotonin reuptake inhibitors (SSRIs), monoamine oxidase inhibitors (MAOIs)) had a beneficial effect on smoking cessation. Findings were sparse and inconsistent as to whether antidepressants, primarily bupropion and nortriptyline, had a particular benefit for people with current or previous depression.

AUTHORS' CONCLUSIONS

There is high-certainty evidence that bupropion can aid long-term smoking cessation. However, bupropion also increases the number of adverse events, including psychiatric AEs, and there is high-certainty evidence that people taking bupropion are more likely to discontinue treatment compared with placebo. However, there is no clear evidence to suggest whether people taking bupropion experience more or fewer SAEs than those taking placebo (moderate certainty). Nortriptyline also appears to have a beneficial effect on smoking quit rates relative to placebo. Evidence suggests that bupropion may be as successful as NRT and nortriptyline in helping people to quit smoking, but that it is less effective than varenicline. There is insufficient evidence to determine whether the other antidepressants tested, such as SSRIs, aid smoking cessation, and when looking at safety and tolerance outcomes, in most cases, paucity of data made it difficult to draw conclusions. Due to the high-certainty evidence, further studies investigating the efficacy of bupropion versus placebo are unlikely to change our interpretation of the effect, providing no clear justification for pursuing bupropion for smoking cessation over front-line smoking cessation aids already available. However, it is important that where studies of antidepressants for smoking cessation are carried out they measure and report safety and tolerability clearly.

Smoking cessation treatment outcomes among people with and without mental and substance use disorders: An observational real-world study

Background:

There is a lack of studies evaluating smoking cessation treatment protocols which include people with and without mental and substance use disorders (MSUD), and which allows for individuals with MSUD undergoing their psychiatric treatment.

Methods:

We compared treatment success between participants with (n = 277) and without (n = 419) MSUD among patients in a 6-week treatment provided by a Brazilian Psychosocial Care Center (CAPS) from 2007 to 2013. Sociodemographic, medical and tobacco use characteristics were assessed at baseline. Tobacco treatment consisted of 1) group cognitive behavior therapy, which included people with and without MSUD in the same groups, and 2) pharmacotherapy, which could include either nicotine patches, nicotine gum, bupropion or nortriptyline. For participants with MSUD, tobacco treatment was integrated into their ongoing mental health treatment. The main outcome was 30-day point prevalence abstinence, measured at last day of treatment.

Results:

Abstinence rates did not differ significantly between participants with and without MSUD (31.1% and 34.4%, respectively). Variables that were significantly associated with treatment success included years smoking, the Heaviness of Smoking Index, and use of nicotine patch or bupropion.

Conclusions:

The inclusion of individuals with and without MSUD in the same protocol, allowing for individuals with MSUD undergoing their psychiatric treatment, generates at least comparable success rates between the groups. Predictors of treatment success were similar to those found in the general population. Facilities that treat patients with MSUD should treat tobacco use in order to reduce the disparities in morbidity and mortality experienced by this population.

Leveraging Positive Psychology to Support Smoking Cessation in Nondaily Smokers Using a Smartphone App: Feasibility and Acceptability Study

Background

Nondaily smoking is an increasingly prevalent smoking pattern that poses substantial health risks.

Objective

We tested the feasibility of using a smartphone app with positive psychology exercises to support smoking cessation in nondaily smokers.

Methods

In this prospective, single-group pilot study, nondaily smokers (n=30) used version 1 of the Smiling Instead of Smoking (SiS) app for 3 weeks while undergoing a quit attempt. The app assigned daily happiness exercises, provided smoking cessation tools, and made smoking cessation information available. Participants answered surveys at baseline and 2, 6, 12, and 24 weeks after their chosen quit day and participated in structured user feedback sessions 2 weeks after their chosen quit day.

Results

App usage during the prescribed 3 weeks of use was high, with an average 84% (25.2/30) of participants using the app on any given day. App use was largely driven by completing happiness exercises (73%, 22/30) of participants per day), which participants continued to complete even after the end of the prescribed period. At the end of prescribed use, 90% (27/30) of participants reported that the app had helped them during their quit attempt, primarily by reminding them to stay on track (83%, 25/30) and boosting their confidence to quit (80%, 24/30) and belief that quitting was worthwhile (80%, 24/30). Happiness exercises were rated more favorably than user-initiated smoking cessation tools, and 80% (24/30) of participants proactively expressed in interviews that they liked them. App functionality to engage social support was not well received. Functionality to deal with risky times was rated useful but was rarely used. Within-person changes from baseline to the end of prescribed use were observed for several theorized mechanisms of behavior change, all in the expected direction: confidence increased (on a 0-100 scale, internal cues: b=16.7, 95% CI 7.2 to 26.3, P=.001; external cues: b=15.8, 95% CI 5.4 to 26.1, P=.004), urge to smoke decreased (on a 1-7 scale, b=−0.8, 95% CI −1.3 to −0.3, P=.002), and perceptions of smoking became less positive (on a 1-5 scale, psychoactive benefits: b=−0.5, 95% CI −0.9 to −0.2, P=.006; pleasure: b=−0.4, 95% CI −0.7 to −0.01, P=.03; on a 0-100 scale, importance of pros of smoking: b=−11.3, 95% CI −18.9 to −3.8, P=.004). Self-reported abstinence rates were 40% (12/30) and 53% (16/30) of participants 2 and 24 weeks post quit, respectively, with 30% (9/30) biochemically validated as abstinent 2 weeks post quit.

Conclusions

A smartphone app using happiness exercises to aid smoking cessation was well received by nondaily smokers. Given the high nonadherence and dropout rates for technology-delivered interventions reported in the literature, the high engagement with positive psychology exercises is noteworthy. Observed within-person changes and abstinence rates are promising and warrant further development of this app.

Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation

BACKGROUND

Pharmacotherapies for smoking cessation increase the likelihood of achieving abstinence in a quit attempt. It is plausible that providing support, or, if support is offered, offering more intensive support or support including particular components may increase abstinence further.

OBJECTIVES

To evaluate the effect of adding or 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. We also looked at studies which directly compare behavioural interventions matched for contact time, where pharmacotherapy is provided to both groups (e.g. tests of different components or approaches to behavioural support as an adjunct to pharmacotherapy).

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP in June 2018 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

Randomised or quasi-randomised controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount or type of behavioural support. The intervention condition had to involve person-to-person contact (defined as face-to-face or telephone). The control condition could receive less intensive personal contact, a different type of personal contact, written information, or no behavioural support at all. We excluded trials recruiting only pregnant women and trials which did not set out to assess smoking cessation at six months or longer.

DATA COLLECTION AND ANALYSIS

For this update, screening and data extraction followed standard Cochrane methods. 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 random-effects model.

MAIN RESULTS

Eighty-three studies, 36 of which were new to this update, met the inclusion criteria, representing 29,536 participants. Overall, we judged 16 studies to be at low risk of bias and 21 studies to be at high risk of bias. All other studies were judged to be at unclear risk of bias. Results were not sensitive to the exclusion of studies at high risk of bias. We pooled all studies comparing more versus less support in the main analysis. Findings demonstrated a benefit of behavioural support in addition to pharmacotherapy. When all studies of additional behavioural therapy were pooled, there was evidence of a statistically significant benefit from additional support (RR 1.15, 95% CI 1.08 to 1.22, I² = 8%, 65 studies, n = 23,331) for abstinence at longest follow-up, and this effect was not different when we compared subgroups by type of pharmacotherapy or intensity of contact. This effect was similar in the subgroup of eight studies in which the control group received no behavioural support (RR 1.20, 95% CI 1.02 to 1.43, I² = 20%, n = 4,018). Seventeen studies compared interventions matched for contact time but that differed in terms of the behavioural components or approaches employed. Of the 15 comparisons, all had small numbers of participants and events. Only one detected a statistically significant effect, favouring a health education approach (which the authors described as standard counselling containing information and advice) over motivational interviewing approach (RR 0.56, 95% CI 0.33 to 0.94, n = 378).

AUTHORS' CONCLUSIONS

There is high-certainty evidence that providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking increases quit rates. Increasing the amount of behavioural support is likely to increase the chance of success by about 10% to 20%, based on a pooled estimate from 65 trials. Subgroup analysis suggests that the incremental benefit from more support is similar over a range of levels of baseline support. More research is needed to assess the effectiveness of specific components that comprise behavioural support.

Brain Responses to Cigarette-Related and Emotional Images in Smokers During Smoking Cessation: No Effect of Varenicline or Bupropion on the Late Positive Potential

Introduction

Varenicline and bupropion are two effective smoking cessation pharmacotherapies. Researchers have hypothesized that they might be effective, in part, because they reduce cue reactivity and cue-induced cravings. Here, we used event-related potentials (ERPs) to directly measure brain responses to cigarette-related and other motivationally relevant images during a pharmacologically aided quit attempt.

Methods

Smokers involved in a 12-week placebo-controlled double-blind clinical trial of smoking cessation medications (varenicline, bupropion, placebo) took part in the study. We assessed participants at two time points: 24 h (n = 140) and 4 weeks (n = 176) after the quit date. At both sessions, we measured the amplitude of the late positive potential (LPP), an ERP component reliably associated with motivational relevance, and self-reported tonic craving using the brief version of the Questionnaire of Smoking Urges (QSU-Brief).

Results

At both sessions, emotional and cigarette-related images evoked significantly larger LPPs than neutral images. Neither drug type nor smoking abstinence altered this effect at either session. At both sessions, varenicline and bupropion significantly reduced self-reported tonic craving relative to the placebo condition.

Conclusions

While both varenicline and bupropion reduced self-reported tonic craving, neither medication altered the amplitude of the LPP to cigarette-related or emotional pictures in smokers attempting to quit. These medications may influence abstinence by means other than by reducing neuroaffective responses to cigarette-related cues. Smokers should be prepared for the likelihood that even after several weeks of successful abstinence, once treatment ends, cigarette-related cues may remain motivationally relevant and trigger cravings that might lead to relapse.

Implications

Bupropion and varenicline do not alter electrophysiological responses, as measured by the LPP, to cigarette-related and emotional images. These findings help explain why cigarette-related cues can trigger relapse when smoking cessation medication treatments end.

Positive psychotherapy for smoking cessation enhanced with text messaging: Protocol for a randomized controlled trial

BACKGROUND

Despite reductions in cigarette smoking in the U.S., improvements in the efficacy of smoking cessation treatments are needed, as rates of sustained abstinence remain disappointingly low. Both low positive affect and high negative affect contribute to smoking relapse and constitute viable targets for smoking cessation interventions. Although some clinical trials have evaluated interventions to address depression as a smoking relapse risk factor, very few have focused on positive affect. Recently, we developed and conducted a preliminary clinical trial of a smoking cessation treatment that targets positive affect and cognitions by incorporating interventions rooted in positive psychology. The current randomized controlled trial will expand upon this preliminary trial to test whether this positive psychology-informed approach results in higher smoking cessation rates compared to a time-matched standard smoking cessation treatment control.

METHODS

Three hundred and forty adult daily smokers will be randomly assigned to either positive psychotherapy for smoking cessation or standard behavioral smoking cessation counseling. Participants will meet weekly with a study counselor for 6 weeks and will receive transdermal nicotine patch and text messaging smoking cessation support. Additionally, text messaging in the positive psychotherapy condition will encourage engagement in positive psychology-specific strategies for boosting mood and staying smoke free. Smoking cessation outcomes will be measured at 12, 26, and 52 weeks following target quit date.

CONCLUSION

Results from this study will provide evidence on whether incorporating positive psychology interventions into smoking cessation treatment can improve smoking cessation outcomes relative to standard behavioral counseling with nicotine patch and text messaging.

Smiling Instead of Smoking: Development of a Positive Psychology Smoking Cessation Smartphone App for Non-daily Smokers

PURPOSE

The usefulness of mobile technology in supporting smoking cessation has been demonstrated, but little is known about how smartphone apps could best be leveraged. The purpose of this paper is to describe the program of research that led to the creation of a smoking cessation app for non-daily smokers, so as to stimulate further ideas to create "smart" smartphone apps to support health behavior change.

METHOD

Literature reviews to evaluate the appropriateness of the proposed app, content analyses of existing apps, and smoking cessation sessions with non-daily smokers (n = 38) to inform the design of the app.

RESULTS

The literature reviews showed that (1) smoking cessation apps are sought after by smokers, (2) positive affect plays an important role in smoking cessation, (3) short, self-administered exercises consistently bring about enduring positive affect enhancements, and (4) low treatment-seeking rates of non-daily smokers despite high motivation to quit indicate a need for novel smoking cessation support. Directed content analyses of existing apps indicated that tailoring, two-way interactions, and proactive features are under-utilized in existing apps, despite the popularity of such features. Conventional content analyses of audio-recorded session tapes suggested that difficulty in quitting was generally linked to specific, readily identifiable occasions, and that social support was considered important but not consistently sought out.

CONCLUSION

The "Smiling Instead of Smoking" (SIS) app is an Android app that is designed to act as a behavioral, in-the-pocket coach to enhance quitting success in non-daily smokers. It provides proactive, tailored behavioral coaching, interactive tools (e.g., enlisting social support), daily positive psychology exercises, and smoking self-monitoring.

Depressive symptoms prior to and after incident cardiovascular disease and long-term survival. A population-based study of older persons

BACKGROUND

Depression after a cardiovascular disease event (post-CVD) is associated with increased mortality. However, little is known about how pre-existing depression affects survival after CVD incidence.

AIM

To evaluate whether depressive symptoms preceding first incident CVD (pre-CVD) affects survival.

METHODS

From the Rotterdam Study, 6,932 persons aged 55+ and free of dementia and CVD completed the Center for Epidemiological Studies Depression (CES-D) scale every 4 to 5 years from 1993. CES-D subdomains were positive affect, negative affect, somatic symptoms, and interpersonal affect. Persons were followed for mortality and CVD.

RESULTS

During 15-year follow-up, 22% of participants suffered their first incident CVD. Pre-CVD depressive symptoms was not associated with mortality after adjustment for smoking status and physical function (HR per 10-point score: 1.05, 95%CI: 0.99-1.10). After first incident CVD, depressive symptoms increased. Higher post-CVD depressive symptoms was associated with increased mortality (HR: 1.13, 95%CI: 1.06, 1.22). The relation between post-CVD depressive symptoms and mortality was no longer statistically significant after adjustment for pre-CVD depressive symptoms. Pre-CVD and post-CVD measures of somatic symptoms and positive affect were associated with mortality.

CONCLUSIONS

During 15 years follow-up in community-dwelling older adults, the relation between higher depressive symptoms measured before first incident CVD and mortality was not independent of health status. Whereas, higher depressive symptoms measured after CVD was associated with increased mortality, was not independent of pre-CVD depressive symptoms. Given the associations observed between positive affect and mortality, positive affect may be the reason we observed a relation between depressive symptoms and mortality.

A prospective investigation of the synergistic effect of change in anxiety sensitivity and dysphoria on tobacco withdrawal

OBJECTIVE

Prevailing theory and research suggests the psychological and physiological discomfort associated with tobacco withdrawal may play a formative role in the risk of cessation failure. Yet, research elucidating cognitive-affective vulnerability characteristics that contribute to increased tobacco withdrawal severity during periods of planned abstinence is highly limited. In the current study, we explored whether smokers with greater reductions of Anxiety Sensitivity (AS) and dysphoria during a smoking cessation intervention would experience less severe postquit tobacco withdrawal.

METHOD

Specifically, the interactive effect of change (from preintervention baseline to quit day) in AS and dysphoria in relation to postquit withdrawal severity (quit day through 12 weeks postquit) was examined among treatment-seeking adult smokers enrolled in a smoking cessation trial (N = 198; 55.3% female; 86.8% Caucasian; Mage = 38.8, SD = 14.0).

RESULTS

Results indicated that the interactive effect of change in AS and dysphoria was related to linear change in postquit withdrawal symptoms. Specifically, larger reductions in AS were associated with a faster decline in the severity of withdrawal symptoms across the 12-week postquit period only for individuals with lower (but not higher) reductions in dysphoria. Additionally, the findings indicated that reducing levels of AS and dysphoria prequit is broadly related to the degree of change in postquit withdrawal symptoms.

CONCLUSION

Collectively, these data suggest there is apt to be clinical merit to employing strategies to address AS and/or dysphoria to more effectively manage emergent withdrawal symptoms following smoking cessation treatment. (PsycINFO Database Record

Smoking Cessation Treatment for Patients With Mental Disorders Using CBT and Combined Pharmacotherapy

OBJECTIVES

The aim of this study was to investigate smoking treatment effectiveness and retention in a population with and without mental disorders (MD). Participants received cognitive behavioral therapy (CBT) plus nicotine patch alone or in combination with other medications (i.e., gum, bupropion, or nortriptyline) for smoking cessation treatment in a Brazilian Psychosocial Care Center unit (CAPS), taking into account sociodemographics and smoking profile covariates.

METHODS

The study involved comparison of treatment success (seven-day point prevalence abstinence at the end of the treatment) and retention (presence of the individual in all of the four medical consultations and six group sessions) in two subsamples of patients with MD (n = 267) and without MD (n = 397) who were included in a six-week treatment provided by a CAPS from 2007 to 2013. The treatment protocol comprised group CBT and pharmacotherapy (nicotine patches, nicotine gums, and bupropion and nortriptyline available, prescribed by psychiatrists).

RESULTS

Within patients with MD, CBT plus nicotine patch plus bupropion (aOR = 2.00, 95% CI [1.14, 3.50], p = .015) and CBT plus nicotine patch plus gum (aOR = 2.10, 95% CI [1.04, 4.23], p = .036) were associated with treatment success. Within patients without MD, female gender (aOR = 0.60, 95% CI [0.37, 0.95], p = .031) and lower Heaviness of Smoking Index score (aOR = 0.80, 95% CI [0.65, 0.99], p = .048) were associated with treatment success. No variable was associated with dropout or retention within patients with or without MD.

CONCLUSION

Our findings support the use of CBT plus nicotine patch plus bupropion as well as CBT plus nicotine patch plus gum in samples with high rates of medical, psychiatric, and addiction disorders. These findings support those of previous studies in the general population. Pharmacological treatment associated with group CBT based on cognitive-behavioral concepts and combined with ongoing MD treatment seems to be the best option for smoking cessation treatment among patients with MD. Units that deal with patients with MD, such as CAPS in Brazil, should be encouraged to treat smoking addiction in this population. Future studies should investigate retention rates in other samples of patients with MD.

Can repetitive mental simulation of smoking engender habituation?

Smoking cue exposure sensitizes smokers to cigarettes (i.e., increases cravings). Research examining the overlap between perception and mental imagery suggests that mentally simulating smoking a cigarette in a manner analogous to actually smoking should lead to habituation or a decrease in a smoker's motivation to smoke. The authors sought to determine whether repetitive mental simulation of smoking can engender habituation thereby reducing smoking cue-induced craving and shifts in mood, latency to smoke, and the hedonic response to smoking. These hypotheses were tested in nontreatment seeking smokers (n = 61; 24 women/37 men) ages 18-55 years old, who were not incentivized to quit. The authors used a 2 (in vivo cue: smoking, neutral) × 2 (imagery: repetitive, limited) within-subjects design. Results revealed that repetitive imagery altered the effect of cue type for negative mood and subjective cigarette reward as evidenced by significant Imagery × Cue interactions. Repetitive imagery after a smoking cue reduced negative mood more than limited imagery (β = -1.19, p = .004). Repetitive imagery also reduced the reward derived from smoking a cigarette more than limited imagery (β = -.41, p < .0001). Only main effects of cue type on craving (β = 3.39, p = .01) and positive mood (β = -1.18, p = .03) were found. Greater imagery strength predicted a longer latency to smoke (β = .76, p = .001). Cognitive strategies that directly engage cue-induced craving through repetitive smoking imagery may reduce smoking cue-induced increases in negative mood and reward from a cigarette lapse potentially preventing smoking relapse. (PsycINFO Database Record

Behavioral Activation Treatment for Smoking (BATS) in smokers with depressive symptomatology

Purpose

Cigarette smoking remains the primary preventable cause of mortality and morbidity globally. The overarching goal of the paper is to disseminate the Behavioral Activation Treatment for Smoking (BATS), which integrates behavioral activation principles with standard treatment guidelines to assist individuals in achieving short- and long-term smoking cessation. Through a series of sequential steps, BATS guides individuals who wish to quit smoking to increase their engagement in healthy, pleasurable, and value-consistent activities.

Design/methodology/approach

The document provides the BATS rationale and contains an abridged manual for use by clinicians and/or researchers in the context of clinical trials. Findings: BATS is accruing empirical evidence that suggests its ability to promote successful smoking cessation outcomes while decreasing any associated depressive symptoms.

Findings

BATS is accruing empirical evidence that suggests its ability to promote successful smoking cessation outcomes while decreasing any associated depressive symptoms.

Practical implications

A description of key components, forms, and strategies to address common treatment barriers are included.

Originality/value

BATS’s strong roots in learning theories and its idiographic nature allow for the intervention to be implemented flexibly across a wide range of settings and smoking populations. The treatment may also be combined seamlessly with pharmacotherapies. BATS targets both cigarette smoking and depressive symptoms, which constitute a significant barrier to cessation, through a common pathway: increasing rewarding activities. The treatment offers a parsimonious complement to standard smoking cessation treatments.

Combined pharmacotherapy and behavioural interventions for smoking cessation

BACKGROUND

Both behavioural support (including brief advice and counselling) and pharmacotherapies (including nicotine replacement therapy (NRT), varenicline and bupropion) are effective in helping people to stop smoking. Combining both treatment approaches is recommended where possible, but the size of the treatment effect with different combinations and in different settings and populations is unclear.

OBJECTIVES

To assess the effect of combining behavioural support and medication to aid smoking cessation, compared to a minimal intervention or usual care, and to identify whether there are different effects depending on characteristics of the treatment setting, intervention, population treated, or take-up of treatment.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in July 2015 for records with any mention of pharmacotherapy, including any type of NRT, bupropion, nortriptyline or varenicline.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials evaluating combinations of pharmacotherapy and behavioural support for smoking cessation, compared to a control receiving usual care or brief advice or less intensive behavioural 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

Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by two authors. Data was extracted by one author and checked by another.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

Fifty-three studies with a total of more than 25,000 participants met the inclusion criteria. A large proportion of studies recruited people in healthcare settings or with specific health needs. Most studies provided NRT. Behavioural support was typically provided by specialists in cessation counselling, who offered between four and eight contact sessions. The planned maximum duration of contact was typically more than 30 minutes but less than 300 minutes. Overall, studies were at low or unclear risk of bias, and findings were not sensitive to the exclusion of any of the six studies rated at high risk of bias in one domain. One large study (the Lung Health Study) contributed heterogeneity due to a substantially larger treatment effect than seen in other studies (RR 3.88, 95% CI 3.35 to 4.50). Since this study used a particularly intensive intervention which included extended availability of nicotine gum, multiple group sessions and long term maintenance and recycling contacts, the results may not be comparable with the interventions used in other studies, and hence it was not pooled in other analyses. Based on the remaining 52 studies (19,488 participants) there was high quality evidence (using GRADE) for a benefit of combined pharmacotherapy and behavioural treatment compared to usual care, brief advice or less intensive behavioural support (RR 1.83, 95% CI 1.68 to 1.98) with moderate statistical heterogeneity (I² = 36%).The pooled estimate for 43 trials that recruited participants in healthcare settings (RR 1.97, 95% CI 1.79 to 2.18) was higher than for eight trials with community-based recruitment (RR 1.53, 95% CI 1.33 to 1.76). Compared to the first version of the review, previous weak evidence of differences in other subgroup analyses has disappeared. We did not detect differences between subgroups defined by motivation to quit, treatment provider, number or duration of support sessions, or take-up of treatment.

AUTHORS' CONCLUSIONS

Interventions that combine pharmacotherapy and behavioural support increase smoking cessation success compared to a minimal intervention or usual care. Updating this review with an additional 12 studies (5,000 participants) did not materially change the effect estimate. Although trials differed in the details of their populations and interventions, we did not detect any factors that modified treatment effects apart from the recruitment setting. We did not find evidence from indirect comparisons that offering more intensive behavioural support was associated with larger treatment effects.

Cognitive Dysfunction, Affective States, and Vulnerability to Nicotine Addiction: A Multifactorial Perspective

Although smoking prevalence has declined in recent years, certain subpopulations continue to smoke at disproportionately high rates and show resistance to cessation treatments. Individuals showing cognitive and affective impairments, including emotional distress and deficits in attention, memory, and inhibitory control, particularly in the context of psychiatric conditions, such as attention-deficit hyperactivity disorder, schizophrenia, and mood disorders, are at higher risk for tobacco addiction. Nicotine has been shown to improve cognitive and emotional processing in some conditions, including during tobacco abstinence. Self-medication of cognitive deficits or negative affect has been proposed to underlie high rates of tobacco smoking among people with psychiatric disorders. However, pre-existing cognitive and mood disorders may also influence the development and maintenance of nicotine dependence, by biasing nicotine-induced alterations in information processing and associative learning, decision-making, and inhibitory control. Here, we discuss the potential forms of contribution of cognitive and affective deficits to nicotine addiction-related processes, by reviewing major clinical and preclinical studies investigating either the procognitive and therapeutic action of nicotine or the putative primary role of cognitive and emotional impairments in addiction-like features.

Independent and interactive effects of real-time risk factors on later temptations and lapses among smokers trying to quit

PURPOSE

The current study sought to expand our understanding of relapse mechanisms by identifying the independent and interactive effects of real-time risk factors on temptations and the ability to resist temptations in smokers during a quit attempt.

PROCEDURES

This study was a secondary analysis of data from 109 adult, treatment-seeking daily smokers. Ecological momentary assessment data was collected 4 times a day for 21 days following a quit attempt and was used to assess affect, urge, impulsiveness, recent cigarette exposure, and alcohol use as predictors of temptations to smoke and smoking up to 8h later. All smokers received nicotine replacement therapy and smoking cessation counseling.

FINDINGS

In multinomial hierarchical linear models, there were significant main (agitation odds ratio (OR)=1.22, 95% CI=1.02-1.48; urge OR=1.60, 95% CI=1.35-1.92; nicotine dependence measured by WISDM OR=1.04, 95% CI=1.01-1.08) and interactive effects (agitation×urge OR=1.12, 95% CI=1.01-1.27; urge×cigarette exposure OR=1.38, 95% CI=1.10-1.76; positive affect×impulsiveness OR=2.44, 95% CI=1.02-5.86) on the odds of temptations occurring, relative to abstinence without temptation. In contrast, prior smoking (OR=3.46, 95% CI=2.58-4.63), higher distress (OR=1.30, 95% CI=1.06-1.60), and recent alcohol use (OR=3.71, 95% CI=1.40-9.89) predicted smoking versus resisting temptation, and momentary impulsiveness was related to smoking for individuals with higher baseline impulsiveness (OR=1.12, 95% CI=1.04-1.22).

CONCLUSIONS

The risk factors and combinations of factors associated with temptations and smoking lapses differ, suggesting a need for separate models of temptation and lapse.

Tobacco Withdrawal Amongst African American, Hispanic, and White Smokers

INTRODUCTION

Persistent tobacco use among racial and ethnic minority populations in the United States is a critical public health concern. Yet, potential sources of racial/ethnic disparities in tobacco use remain unclear. The present study examined racial/ethnic differences in tobacco withdrawal-a clinically-relevant underpinning of tobacco use that has received sparse attention in the disparities literature-utilizing a controlled laboratory design.

METHODS

Daily smokers (non-Hispanic African American [n = 178], non-Hispanic white [n = 118], and Hispanic [n = 28]) attended two counterbalanced sessions (non-abstinent vs. 16-hour abstinent). At both sessions, self-report measures of urge, nicotine withdrawal, and affect were administered and performance on an objective behavioral task that assessed motivation to reinstate smoking was recorded. Abstinence-induced changes (abstinent scores vs. non-abstinent scores) were analyzed as a function of race/ethnicity.

RESULTS

Non-Hispanic African American smokers reported greater abstinence-induced declines in several positive affect states in comparison to other racial/ethnic groups. Relative to Hispanic smokers, non-Hispanic African American and non-Hispanic white smokers displayed larger abstinence-provoked increases in urges to smoke. No racial/ethnic differences were detected for a composite measure of nicotine withdrawal symptomatology, negative affect states, and motivation to reinstate smoking behavior.

CONCLUSIONS

These results suggest qualitative differences in the expression of some components of tobacco withdrawal across three racial/ethnic groups. This research helps shed light on bio-behavioral sources of tobacco-related health disparities, informs the application of smoking cessation interventions across racial/ethnic groups, and may ultimately aid the overall effort towards reducing the public health burden of tobacco addiction in minority populations.

IMPLICATIONS

The current study provides some initial evidence that there may be qualitative differences in the types of tobacco withdrawal symptoms experienced among non-Hispanic African American, Hispanic, and non-Hispanic white smokers. Extending this line of inquiry may elucidate mechanisms involved in tobacco-related health disparities and ultimately aid in reducing the public health burden of smoking in racial/ethnic minority populations.

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.

Ecological evidence that affect and perceptions of drink effects depend on alcohol expectancies

AIMS

(1) To compare affective changes over drinking and non-drinking days among frequent drinkers and (2) to evaluate whether drinkers' expectations influence affective changes and perceived pleasure and relief from drinking.

DESIGN

Observational study involving ecological momentary assessments collected via electronic diaries during the course of 3 weeks.

SETTING

Drinkers' usual settings in Columbia, MO, USA.

PARTICIPANTS

A total of 400 adult, frequent drinkers, aged 18-70 years.

MEASUREMENTS

Ecological assessments included morning reports, pre-drinking random prompts, user-initiated first-drink reports and device-prompted follow-ups over drinking episodes. Participants rated positive (enthusiastic, excited, happy) and negative (distressed, sad) affect and perceived pleasure and relief from drinking in real time. A self-report questionnaire completed at baseline evaluated expectancies for enhanced sociability and tension reduction from drinking.

FINDINGS

Relative to affective changes over non-drinking days, positive affect increased prior to drinking [95% confidence interval (CI) = 0.004, 0.023], and at first drink (95% CI = 0.238, 0.317), whereas negative affect decreased prior to drinking (95% CI = - 0.007, 0.000) and at first drink (95% CI = - 0.154, - 0.098). Sociability expectancies augmented increases in positive affect prior to drinking (95% CI = 0.009, 0.027) and at first drink (95% CI = 0.017, 0.169). Sociability expectancies also enhanced perceived pleasure from first drinks (95% CI = 0.046, 0.318). Tension-reduction expectancies attenuated decreases in negative affect at first drink (95% CI = - 0.133, - 0.029), but augmented perceived relief from first drinks (95% CI = 0.001, 0.304).

CONCLUSIONS

Although theoretical models tend to focus on negative affective outcomes of drinking, changes in positive affect prior to drinking and early in drinking episodes are important for maintaining drinking behavior. Frequent drinkers' expectations for enhanced sociability or tension reduction from drinking influence their affective experiences over drinking days and perceptions of pleasure and relief from drinking.

Tobacco withdrawal symptoms mediate motivation to reinstate smoking during abstinence

Withdrawal-based theories of addiction hypothesize that motivation to reinstate drug use following acute abstinence is mediated by withdrawal symptoms. Experimental tests of this hypothesis in the tobacco literature are scant and may be subject to methodological limitations. This study utilized a robust within-subject laboratory experimental design to investigate the extent to which composite tobacco withdrawal symptomatology level and 3 unique withdrawal components (i.e., low positive affect, negative affect, and urge to smoke) mediated the effect of smoking abstinence on motivation to reinstate smoking. Smokers (≥10 cigarettes per day; N = 286) attended 2 counterbalanced sessions at which abstinence duration was differentially manipulated (1 hr vs. 17 hr). At both sessions, participants reported current withdrawal symptoms and subsequently completed a task in which they were monetarily rewarded proportional to the length of time they delayed initiating smoking, with shorter latency reflecting stronger motivation to reinstate smoking. Abstinence reduced latency to smoking initiation and positive affect and increased composite withdrawal symptom level, urge, and negative affect. Abstinence-induced reductions in latency to initiating smoking were mediated by each withdrawal component, with stronger effects operating through urge. Combined analyses suggested that urge, negative affect, and low positive affect operate through empirically unique mediational pathways. Secondary analyses suggested similar effects on smoking quantity, few differences among specific urge and affect subtypes, and that dependence amplifies some abstinence effects. This study provides the first experimental evidence that within-person variation in abstinence impacts motivation to reinstate drug use through withdrawal. Urge, negative affect, and low positive affect may reflect unique withdrawal-mediated mechanisms underlying tobacco addiction.

Positive affect is not associated with incidence of cardiovascular disease: a population-based study of older persons

INTRODUCTION

The relationship between positive psychological well-being (PPWB) and cardiovascular disease (CVD) is inconsistent across different CVD outcomes and for different PPWB constructs, such as positive affect. In addition, the relationship between PPWB and CVD as a composite measure is rarely assessed.

OBJECTIVE

To assess whether positive affect is protective of incident CVD.

METHOD

Positive affect was assessed in two cohorts between 1993 and 2001 in Rotterdam using relevant questions from the Center for Epidemiological Studies Depression (CES-D) scale and the Hospital Anxiety and Depression Scale (HADS; in a sub-sample) in 6349 non-demented, CVD-free, consenting adults, aged 55+years. Composite CVD was defined as stroke, heart failure and coronary heart disease, which were continuously monitored through medical records until 1st April 2010.

RESULTS

There were 1480 (23.3%) first time CVD events during follow-up (11.9 ± 2.8 SD years, 58,416 person-years). Positive affect was not associated with incident CVD (CES-D HR: 1.00 per point, 95% CI: 0.98-1.02; HADS HR: 0.98, 95% CI: 0.92-1.05). Stratification by age or sex and assessment of separate CVD outcome did not change results.

CONCLUSION

In this large, population-based study, there was no association between positive affect and twelve-year incident CVD in older adults who were free of diagnosed CVD at baseline.

Smoking-specific experiential avoidance cognition: explanatory relevance to pre- and post-cessation nicotine withdrawal, craving, and negative affect

BACKGROUND

Negative-reinforcement based cognitive processes have been implicated in the maintenance of cigarette smoking. Given the expectation that smoking will attenuate aversive internal experiences, smokers may be particularly unwilling to experience or remain in contact with smoking-related distress (i.e., experiential avoidance). Yet, there is little known about a cognitive-based process termed smoking-specific experiential avoidance with regard to withdrawal, craving, or negative affect during a quit attempt.

METHOD

Data were collected from adult daily smokers (n = 259) participating in a larger smoking cessation trial. Pre- and post-quit experiences of nicotine withdrawal, craving, and negative affect were examined in terms of cognitive-based smoking-specific experimental avoidance, measured by the Avoidance and Inflexibility Scale (AIS).

RESULTS

Results indicated that baseline smoking-specific experiential avoidance was associated with greater overall levels of withdrawal, craving, and negative affect at treatment initiation (pre-cessation). Reductions in smoking-specific experiential avoidance from baseline to quit day were associated with increased likelihood of quit day abstinence. Such reductions were also predictive of lower levels of nicotine withdrawal, craving, and negative affect on quit day. Also, less reduction in experiential avoidance was associated with experiencing greater withdrawal in the early phase of quitting.

DISCUSSION

The impact of cognitive-based experiential avoidance pertaining to smoking impacts both pre- and post-cessation experiences in terms of negative affect, withdrawal, and smoking cravings and may represent an important treatment target.

Anxiety sensitivity and pre-cessation smoking processes: testing the independent and combined mediating effects of negative affect-reduction expectancies and motives

OBJECTIVE

Anxiety sensitivity appears to be relevant in understanding the nature of emotional symptoms and disorders associated with smoking. Negative-reinforcement smoking expectancies and motives are implicated as core regulatory processes that may explain, in part, the anxiety sensitivity-smoking interrelations; however, these pathways have received little empirical attention.

METHOD

Participants (N = 471) were adult treatment-seeking daily smokers assessed for a smoking-cessation trial who provided baseline data; 157 participants provided within-treatment (pre-cessation) data. Anxiety sensitivity was examined as a cross-sectional predictor of several baseline smoking processes (nicotine dependence, perceived barriers to cessation, severity of prior withdrawal-related quit problems) and pre-cessation processes including nicotine withdrawal and smoking urges (assessed during 3 weeks before the quit day). Baseline negative-reinforcement smoking expectancies and motives were tested as simultaneous mediators via parallel multiple mediator models.

RESULTS

Higher levels of anxiety sensitivity were related to higher levels of nicotine dependence, greater perceived barriers to smoking cessation, more severe withdrawal-related problems during prior quit attempts, and greater average withdrawal before the quit day; effects were indirectly explained by the combination of both mediators. Higher levels of anxiety sensitivity were not directly related to pre-cessation smoking urges but were indirectly related through the independent and combined effects of the mediators.

CONCLUSIONS

These empirical findings bolster theoretical models of anxiety sensitivity and smoking and identify targets for nicotine dependence etiology research and cessation interventions.

Positive Psychotherapy for Smoking Cessation: A Pilot Randomized Controlled Trial

OBJECTIVE

Greater depressive symptoms and low positive affect (PA) are associated with poor smoking cessation outcomes. Smoking cessation approaches that incorporate a focus on PA may benefit smokers trying to quit. The purpose of this study was to conduct a pilot randomized clinical trial to compare standard smoking cessation treatment (ST) with smoking cessation treatment that targets positive affect, termed positive psychotherapy for smoking cessation (PPT-S).

METHOD

Smokers who were seeking smoking cessation treatment were assigned by urn randomization to receive, along with 8 weeks of nicotine replacement therapy, either ST (n = 31) or PPT-S (n = 35). Seven-day point prevalence smoking abstinence was biochemically confirmed at 8, 16, and 26 weeks.

RESULTS

Compared to ST, a greater percentage of participants in PPT-S were abstinent at 8 weeks, 16 weeks, and 26 weeks, but these differences were nonsignificant. In a more statistically powerful longitudinal model, participants in PPT-S had a significantly higher odds of abstinence (adjusted odds ratio [AOR] = 2.75; 95% CI = 1.02, 7.42; p = .046) across follow-ups compared to those in ST. The positive effect of PPT-S was stronger for those higher in PA (OR = 6.69, 95% CI = 1.16, 38.47, p = .03). Greater use of PPT-S strategies during the initial 8 weeks of quitting was associated with a less steep decline in smoking abstinence rates over time (OR = 2.64, 95% CI = 1.06, 6.56, p =.04).

CONCLUSION

This trial suggests substantial promise for incorporating PPT into smoking cessation treatment.

The Role of Depression in the Uptake and Maintenance of Cigarette Smoking

Cigarette smoking and depression both account for significant morbidity, mortality, and economic burden. The prevalence of both smoking and depression increase across mid-to-late adolescence and show high rates of comorbidity. While little is known about why smoking is disproportionately higher among depressed adolescents than adolescents without depression, emerging research has begun to offer some initial insights. The high rates of comorbidity between depression and smoking emphasize the importance of identifying intervention targets to inform smoking prevention efforts for this high-risk group. Interventions during adolescence may lessen the prevalence of depression-prone adult smokers. Depression is over-represented among adult smokers and contributes to lower smoking cessation rates. Negative mood management and pharmacotherapy have been the central focus of smoking cessation interventions for depression-prone populations to date. Converging lines of research highlight novel smoking cessation targets such as the maintenance of positive mood and reward regulation. Smoking cessation research in depression-prone smokers is critical to identify efficacious treatments that will ultimately decrease the excess smoking burden for this population.

Relationship between momentary affect states and self-efficacy in adolescent smokers

OBJECTIVE

Relapse to smoking after making a quit attempt is both common and rapid in adolescent smokers. Momentary self-efficacy (SE)-that is, momentary shifts in one's confidence in the ability to abstain from smoking-predicts the occurrence and timing of relapse among adolescent smokers. Therefore, it is important to identify factors that are associated with changes in momentary SE early in a quit attempt. This study examined the relationship between affect states (including positive, negative, and nicotine withdrawal states) and momentary SE at various stages of a quit attempt.

METHOD

Adolescent daily smokers interested in making a quit attempt (n = 202) completed ecological momentary assessments (EMA) each day for 1 week leading up to and 2 weeks after a quit attempt. In each assessment, they reported current SE and affect state.

RESULTS

RESULTS of linear mixed models indicated that most of the examined affect states were related to momentary SE. Contrary to expectation, they were related to momentary SE both immediately before and after the quit attempt. Moderation effects were observed for select affect states, where higher baseline SE was related to lower momentary SE in the presence of increasing negative high activation, boredom, and difficulty concentrating.

CONCLUSIONS

Our findings suggest that both positive and negative affect states are related to SE, and that thereby positive affect enhancement may be a promising, underutilized treatment target.

Reward and affective regulation in depression-prone smokers

BACKGROUND

There is a disproportionately high smoking prevalence among individuals who are prone to depression. While depression has been conceptualized as a disorder of dysregulated positive affect and disrupted reward processing, little research has been conducted to determine the role of smoking in these processes among depression-prone smokers.

METHODS

Depression-prone smokers (DP+; n = 34) and smokers not depression-prone (DP-; n = 49) underwent two laboratory sessions, one while smoking abstinent and one while smoking ad libitum, to assess the relative reinforcing value of smoking and reward sensitivity. Using experience sampling methods, participants completed self-report measures of subjective reward, positive affect, and negative affect across 3 days while smoking as usual and 3 days while smoking abstinent.

RESULTS

DP+ were two times more likely to work for cigarette puffs versus money in a progressive ratio, choice task (odds ratio 2.05; 95% confidence interval 1.04 to 4.06, p = .039) compared with DP-. Reward sensitivity as measured by the signal detection task did not yield any significant findings. Mixed models regressions revealed a three-way interaction (depression group, smoking phase, and time) for subjective reward, negative affect, and positive affect. For all three of these outcomes, the slopes for DP- and DP+ differed significantly from each other (ps < .05) and the effect of smoking (versus abstinence) over time was greater for DP+ than DP- smokers (ps < .05).

CONCLUSIONS

These findings indicate that the effects of smoking on reward and positive affect regulation are specific to DP+ smokers and highlight novel targets for smoking cessation treatment in this population.

Effects of sequential fluoxetine and gender on prequit depressive symptoms, affect, craving, and quit day abstinence in smokers with elevated depressive symptoms: a growth curve modeling approach

Although the important roles of postquit affect and withdrawal symptoms in the process of smoking cessation have been well established, little is known about the relations between prequit affective trajectories and cessation outcome on the target quit date (TQD). This study examined whether a 16-week course of fluoxetine initiated 8 weeks prequit ("sequential" fluoxetine) improved TQD abstinence relative to placebo through its effects on prequit depressive symptoms, affect (withdrawal-relevant negative affect, general negative affect, and positive affect), and craving to smoke among 206 smokers with elevated depressed symptoms. The moderating effects of gender were also examined. In total, 83 smokers (40%) failed to achieve abstinence on TQD, with no difference between treatment conditions or gender. Overall structural equation models showed that fluoxetine had significant indirect effects on TQD abstinence through changes in prequit withdrawal-relevant negative affect and craving, but not depressive symptoms. However, multigroup analyses revealed gender differences. Sequential fluoxetine reduced prequit depressive symptoms, withdrawal-relevant negative affect, and craving only among women. Reduction in prequit depressive symptoms and craving among women, and withdrawal-relevant negative affect among men was associated with TQD abstinence. Moreover, exploratory analysis showed negative trend-level indirect effects of fluoxetine on TQD abstinence via increased side effects, regardless of gender. This study demonstrated the importance of considering gender when examining treatment efficacy. Identifying ways to further reduce prequit depressive symptoms and craving for women and withdrawal-relevant negative affect for men whereas alleviating side effects may help smokers with elevated depressed symptoms achieve the first smoking cessation milestone.

Cognitive deficits specific to depression-prone smokers during abstinence

Cigarette smoking is associated with a higher prevalence of depressive symptoms and individuals with elevated symptoms of depression have more difficulty quitting smoking. Depression is accompanied by cognitive deficits similar to those observed during nicotine withdrawal. Depressed smokers may smoke to alleviate these cognitive symptoms, which are exacerbated upon smoking abstinence. We hypothesized that following overnight abstinence, depression-prone smokers (DP+; past history and current depression symptoms; n = 34) would exhibit deficits in short-term and working memory, and experience greater attentional bias for affective stimuli, compared with smokers with no history or current symptoms of depression (DP-; n = 34). All participants underwent two laboratory sessions, once while smoking abstinent and once while smoking ad libitum (order counterbalanced, abstinence biochemically verified). Smokers completed measures of short-term memory (STM; word recognition task), working memory (N-back task), and attentional bias (Emotional Stroop task). The DP+ group showed declines in STM during abstinence compared with smoking, whereas the DP- group did not (interaction p = .02). There were small decrements in working memory accuracy during abstinence (p = .05), but this did not interact with depression status. During the Emotional Stroop task, the DP+ group showed an attentional bias toward positive versus neutral stimuli during abstinence compared with smoking (interaction p = .01). This study provides initial evidence that depressive symptoms may moderate abstinence-induced deficits in STM and shift attentional bias toward emotionally salient stimuli during abstinence. These cognitive changes may prompt relapse and may help identify novel targets for nicotine dependence treatment aimed at attenuating these deficits to improve cessation rates.

Associations of attention-deficit hyperactivity disorder symptom dimensions with smoking deprivation effects in adult smokers

Identifying relations of attention deficit hyperactivity disorder (ADHD) symptom dimensions to individual facets of the tobacco withdrawal syndrome could elucidate the mechanisms linking ADHD and regular smoking. This study examined the unique relations of inattention (IN) and hyperactivity-impulsivity (HI) symptom dimensions of ADHD to a variety of tobacco withdrawal symptoms. One hundred thirty-two community-dwelling adult smokers recruited without regard to ADHD status completed a self-report measure of ADHD symptoms experienced over the past 6 months at a baseline visit. At two subsequent experimental sessions (one following overnight tobacco deprivation and one nondeprived; order counterbalanced), participants completed measures of tobacco withdrawal symptoms, mood, and desire to smoke. Preliminary analyses showed that higher levels of IN and HI symptoms were both associated with higher levels of negative affect and concentration difficulties during nondeprived ("baseline") states (ps < .01). Over and above nondeprived ratings, higher levels of HI symptoms were associated with larger deprivation-induced increases in negative affect, concentration problems, and desire to smoke, particularly for negative affect relief, during deprived states (ps < .01). ADHD symptoms, particularly HI symptoms, are associated with more severe exacerbations in abstinence-induced withdrawal symptoms, which could be an important mechanism of ADHD-smoking comorbidity. These findings suggest the need for clinical studies examining the role of these unique and potentially more severe withdrawal profiles experienced by smokers with high-levels of ADHD symptoms in smoking reinstatement and cessation outcomes.

Antidepressants for smoking cessation

BACKGROUND

There are at least three reasons to believe antidepressants might help in smoking cessation. Firstly, nicotine withdrawal may produce depressive symptoms or precipitate a major depressive episode and antidepressants may relieve these. Secondly, nicotine may have antidepressant effects that maintain smoking, and antidepressants may substitute for this effect. Finally, some antidepressants may have a specific effect on neural pathways (e.g. inhibiting monoamine oxidase) or receptors (e.g. blockade of nicotinic-cholinergic receptors) underlying nicotine addiction.

OBJECTIVES

The aim of this review is to assess the effect and safety of antidepressant medications to aid long-term smoking cessation. The medications include bupropion; doxepin; fluoxetine; imipramine; lazabemide; moclobemide; nortriptyline; paroxetine; S-Adenosyl-L-Methionine (SAMe); selegiline; sertraline; St. John's wort; tryptophan; venlafaxine; and zimeledine.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register which includes reports of trials indexed in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, and PsycINFO, and other reviews and meeting abstracts, in July 2013.

SELECTION CRITERIA

We considered randomized trials comparing antidepressant medications to placebo or an alternative pharmacotherapy for smoking cessation. We also included trials comparing different doses, using pharmacotherapy to prevent relapse or re-initiate smoking cessation or to help smokers reduce cigarette consumption. We excluded trials with less than six months follow-up.

DATA COLLECTION AND ANALYSIS

We extracted data and assessed risk of bias using standard methodological procedures expected by the Cochrane Collaboration.The main outcome measure was abstinence from smoking after at least six months follow-up in patients smoking at baseline, expressed as a risk ratio (RR). We used the most rigorous definition of abstinence available in each trial, and biochemically validated rates if available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

Twenty-four new trials were identified since the 2009 update, bringing the total number of included trials to 90. There were 65 trials of bupropion and ten trials of nortriptyline, with the majority at low or unclear risk of bias. There was high quality evidence that, when used as the sole pharmacotherapy, bupropion significantly increased long-term cessation (44 trials, N = 13,728, risk ratio [RR] 1.62, 95% confidence interval [CI] 1.49 to 1.76). There was moderate quality evidence, limited by a relatively small number of trials and participants, that nortriptyline also significantly increased long-term cessation when used as the sole pharmacotherapy (six trials, N = 975, RR 2.03, 95% CI 1.48 to 2.78). There is insufficient evidence that adding bupropion (12 trials, N = 3487, RR 1.9, 95% CI 0.94 to 1.51) or nortriptyline (4 trials, N = 1644, RR 1.21, 95% CI 0.94 to 1.55) to nicotine replacement therapy (NRT) provides an additional long-term benefit. Based on a limited amount of data from direct comparisons, bupropion and nortriptyline appear to be equally effective and of similar efficacy to NRT (bupropion versus nortriptyline 3 trials, N = 417, RR 1.30, 95% CI 0.93 to 1.82; bupropion versus NRT 8 trials, N = 4096, RR 0.96, 95% CI 0.85 to 1.09; no direct comparisons between nortriptyline and NRT). Pooled results from four trials comparing bupropion to varenicline showed significantly lower quitting with bupropion than with varenicline (N = 1810, RR 0.68, 95% CI 0.56 to 0.83). Meta-analyses did not detect a significant increase in the rate of serious adverse events amongst participants taking bupropion, though the confidence interval only narrowly missed statistical significance (33 trials, N = 9631, RR 1.30, 95% CI 1.00 to 1.69). There is a risk of about 1 in 1000 of seizures associated with bupropion use. Bupropion has been associated with suicide risk, but whether this is causal is unclear. Nortriptyline has the potential for serious side-effects, but none have been seen in the few small trials for smoking cessation.There was no evidence of a significant effect for selective serotonin reuptake inhibitors on their own (RR 0.93, 95% CI 0.71 to 1.22, N = 1594; 2 trials fluoxetine, 1 paroxetine, 1 sertraline) or as an adjunct to NRT (3 trials of fluoxetine, N = 466, RR 0.70, 95% CI 0.64 to 1.82). Significant effects were also not detected for monoamine oxidase inhibitors (RR 1.29, 95% CI 0.93 to 1.79, N = 827; 1 trial moclobemide, 5 selegiline), the atypical antidepressant venlafaxine (1 trial, N = 147, RR 1.22, 95% CI 0.64 to 2.32), the herbal therapy St John's wort (hypericum) (2 trials, N = 261, RR 0.81, 95% CI 0.26 to 2.53), or the dietary supplement SAMe (1 trial, N = 120, RR 0.70, 95% CI 0.24 to 2.07).

AUTHORS' CONCLUSIONS

The antidepressants bupropion and nortriptyline aid long-term smoking cessation. Adverse events with either medication appear to rarely be serious or lead to stopping medication. Evidence suggests that the mode of action of bupropion and nortriptyline is independent of their antidepressant effect and that they are of similar efficacy to nicotine replacement. Evidence also suggests that bupropion is less effective than varenicline, but further research is needed to confirm this finding. Evidence suggests that neither selective serotonin reuptake inhibitors (e.g. fluoxetine) nor monoamine oxidase inhibitors aid cessation.

Positive Psychotherapy for Smoking Cessation: Treatment Development, Feasibility and Preliminary Results

Low positive and high negative affect predict low rates of smoking abstinence among smokers making a quit attempt. Positive Psychotherapy can both increase positive affect and decrease negative affect and therefore may be a useful adjunct to behavioral smoking counseling. The purpose of the present study was to assess the feasibility and acceptability of a Positive Psychotherapy for Smoking Cessation (PPT-S) intervention that integrates standard smoking cessation counseling with nicotine patch and a package of positive psychology interventions. We delivered PPT-S to 19 smokers who were low in positive affect at baseline. Rates of session attendance and satisfaction with treatment were high, and most participants reported using and benefiting from the positive psychology interventions. Almost one-third of participants (31.6%) sustained smoking abstinence for 6 months after their quit date. Future studies to assess the relative efficacy of PPT-S compared to standard smoking cessation treatment are warranted.

Abstinence-related expectancies predict smoking withdrawal effects: implications for possible causal mechanisms

RATIONALE

Despite the decades-long emphasis on withdrawal in leading models of addiction, the causal mechanisms driving smoking withdrawal effects are not well known. This gap in the knowledge base has stalled theory and treatment development for smoking dependence.

OBJECTIVES

As cognitive factors have been largely neglected as predictors of withdrawal, the current study sought to examine how smokers' abstinence-related expectancies relate to withdrawal symptomatology.

METHODS

Adult smokers (N = 180; ≥10 cigarettes/day) participated in two counterbalanced experimental sessions involving either 16 h of abstinence or smoking as usual. At baseline, participants completed three withdrawal-related scales of the Smoking Abstinence Questionnaire (Withdrawal, Optimistic Outcomes, and Weight Gain scales), a self-report measure of smokers' abstinence-related expectancies. During experimental sessions, participants completed a number of instruments that covered the range of smoking withdrawal effects (i.e., negative affect, urge/craving to smoke, diminished positive affect, concentration difficulty, hunger, and physiological symptoms).

RESULTS

Even after controlling for the influence of demographic characteristics and cigarette dependence, smokers' abstinence-related expectancies were meaningful predictors of abstinence-induced changes in various withdrawal symptoms (mean adjusted standardized β = 0.22). Stronger expectancies for withdrawal and weight gain predicted more severe withdrawal effects, whereas stronger expectancies for optimistic outcomes predicted less severe withdrawal effects.

CONCLUSIONS

These findings are consistent with the notion that expectancies actively shape future experience and are the first to support the suggestion that smokers' abstinence-related expectancies may be causal agents of withdrawal symptomatology. Future research is required to more conclusively determine whether abstinence-related expectancies mold withdrawal effects.

Anxiety and depressive symptoms and affective patterns of tobacco withdrawal

BACKGROUND

The complex concordance and discordance across and within anxiety and depressive symptoms complicates understanding of the relation between emotional symptoms and manifestations of tobacco withdrawal. The goal of this study was to parse the broad variation in anxiety and depressive symptoms into conceptually discrete components and explore their relative predictive influence on affective patterns of acute tobacco withdrawal.

METHODS

We employed a within-participant experimentally manipulated tobacco abstinence design involving: (i) a baseline visit at which past-week depression and anxiety symptoms were assessed and (ii) two counterbalanced experimental visits-one after ad lib smoking and one after 16-h of tobacco abstinence-at which state affect was assessed. Participants were community-dwelling adults (N=187) smoking 10+ cig/day for at least two years without an active mood disorder.

RESULTS

Anxiety-related general distress symptoms (e.g., tension, nervousness) predicted greater abstinence-induced increases in various negative affective states but not changes in positive affect (βs .17-.33). Depression-related general distress symptoms (e.g., sadness, worthlessness) predicted greater abstinence-induced increases in acute depressed affect only (βs .24-.25). Anhedonic symptoms (e.g., diminished interest, lack of pleasure) predicted larger abstinence-induced decreases in acute positive affect only (βs .17-.20). Anxious Arousal symptoms (e.g., shakiness, heart racing) predicted larger abstinence-induced increases in fatigue and depressive affect (βs .15-.24).

CONCLUSION

Different components of anxiety and depressive symptoms are associated with unique affective patterns of acute tobacco withdrawal. These results provide insight into the affective mechanisms underlying tobacco dependence and could inform smoking cessation treatment approaches tailored to individuals with emotional distress.

Influence of a dopamine pathway additive genetic efficacy score on smoking cessation: results from two randomized clinical trials of bupropion

AIMS

To evaluate the associations of treatment and an additive genetic efficacy score (AGES) based on dopamine functional polymorphisms with time to first smoking lapse and point prevalence abstinence at end of treatment among participants enrolled into two randomized clinical trials of smoking cessation therapies.

DESIGN

Double-blind pharmacogenetic efficacy trials randomizing participants to active or placebo bupropion. Study 1 also randomized participants to cognitive-behavioral smoking cessation treatment (CBT) or this treatment with CBT for depression. Study 2 provided standardized behavioural support.

SETTING

Two hospital-affiliated clinics (study 1), and two university-affiliated clinics (study 2).

PARTICIPANTS

A total of 792 self-identified white treatment-seeking smokers aged ≥18 years smoking ≥10 cigarettes per day over the last year.

MEASUREMENTS

Age, gender, Fagerström Test for Nicotine Dependence, dopamine pathway genotypes (rs1800497 [ANKK1 E713K], rs4680 [COMT V158M], DRD4 exon 3 variable number of tandem repeats polymorphism [DRD4 VNTR], SLC6A3,3' VNTR) analyzed both separately and as part of an AGES, time to first lapse and point prevalence abstinence at end of treatment.

FINDINGS

Significant associations of the AGES (hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.06-1.14, P = 0.009) and of the DRD4 VNTR (HR = 1.29, 95% CI = 1.17-1.41, P = 0.0073) were observed with time to first lapse. A significant AGES by pharmacotherapy interaction was observed (β standard error = -0.18 [0.07], P = 0.016), such that AGES predicted risk for time to first lapse only for individuals randomized to placebo.

CONCLUSIONS

A score based on functional polymorphisms relating to dopamine pathways appears to predict lapse to smoking following a quit attempt, and the association is mitigated in smokers using bupropion.

Anhedonia, depressed mood, and smoking cessation outcome

OBJECTIVE

Although the relation between lifetime depression and smoking cessation outcome has been well studied, the proposition that different symptomatic expressions of depression exert disparate predictive effects on risk of smoking cessation failure has largely gone uninvestigated. This study analyzed the individual contributions of depression's 2 hallmark affective symptoms, anhedonia (i.e., diminished interest in normally enjoyable activities) and depressed mood (i.e., elevated sadness), to the prediction of smoking cessation outcome.

METHOD

Participants were adult daily smokers (N = 1,469; mean age = 45 years, 58% female, 84% White) enrolled in a smoking cessation treatment study. Lifetime history of anhedonia and depressed mood were classified via structured interview prior to quit day. Seven-day point prevalence smoking abstinence was assessed at 8 weeks and 6 months postquit.

RESULTS

When examined separately, both lifetime anhedonia, OR (95% CI) = 1.42 (1.16, 1.73), p = .004, and depressed mood, OR (95% CI) = 1.35 (1.11, 1.63), p = .002, predicted increased odds of relapse. These relations remained after adjusting for covariates, including lifetime depressive disorder, which did not predict outcome. After controlling for the covariation between lifetime anhedonia and depressed mood, anhedonia predicted cessation outcome, OR (95% CI) = 1.31 (1.05, 1.62), p = .02, while depressed mood did not (p = .19). Symptom duration (>2 weeks), treatment, and substance use disorder did not modify relations of lifetime anhedonia and depressed mood with cessation outcome.

CONCLUSIONS

Results suggest that (1) symptoms of affective disturbance capture depression-relevant risk of cessation failure, which is not adequately demarcated by the lifetime depressive disorder diagnosis, and (2) anhedonia is a more sensitive index of this affective disturbance than depressed mood per se. Clinical attention to anhedonia may facilitate smoking cessation.

Neural bases of pharmacological treatment of nicotine dependence - insights from functional brain imaging: a systematic review

BACKGROUND

Nicotine dependence is difficult to treat, and the biological mechanisms that are involved are not entirely clear. There is an urgent need to develop better drugs and more effective treatments for clinical practice. A critical step towards accelerating progress in medication development is to understand the neurobehavioral effects of pharmacotherapies on clinical characteristics associated with nicotine dependence.

OBJECTIVES

This review sought to summarize the functional magnetic resonance imaging (fMRI) literature on smoking cessation with the aim to better understand the neural processes underlying the effects of nicotinic and non-nicotinic pharmacological smoking cessation treatments on specific symptoms of nicotine dependence and withdrawal.

DATA SOURCES

We conducted a search in Pubmed, Web of Science and PsycINFO databases with the keywords 'fMRI' or 'functional magnetic resonance imaging' and 'tobacco' or 'nicotine' or 'smok*'. The date of the most recent search was May 2012.

STUDY ELIGIBILITY CRITERIA, PARTICIPANTS AND INTERVENTIONS

The original studies that were included were those of smokers or nicotine-dependent individuals, published in the English language, with pharmacological treatment for nicotine dependence and use of fMRI with blood oxygen level-dependent (BOLD) imaging or continuous arterial spin labelling (CASL). No date limit was applied.

STUDY APPRAISAL AND SYNTHESIS METHODS

Two of the authors read the abstracts of all studies found in the search (n = 1,260). The inclusion and exclusion criteria were applied, and 1,224 articles were excluded. In a second step, the same authors read the remaining 36 studies. Nineteen of the 36 articles were excluded. The results were tabulated by the number of individuals and their mean age, the main sample characteristics, smoking status, study type and methodology, and the main fMRI findings.

RESULTS

Seventeen original fMRI studies involving pharmacological treatment of smokers were selected. The anterior and posterior cingulate cortex, medial and lateral orbitofrontal cortex, ventral striatum, amygdala, thalamus and insula are heavily involved in the maintenance of smoking and nicotine withdrawal. The effects of varenicline and bupropion in alleviating withdrawal symptoms and decreasing smoking correlated with modulation of the activities of these areas. Nicotine replacement therapy seems to improve cognitive symptoms related to withdrawal especially by modulating activities of the default-network regions; however, nicotine replacement does not necessarily alter the activities of neural circuits, such as the cingulate cortices, that are associated with nicotine addiction.

LIMITATIONS

The risk of bias in individual studies, and across studies, was not assessed, and no method of handling data and combining results of studies was carried out. Most importantly, positron emission tomography (PET) studies were not included in this review.

CONCLUSIONS AND IMPLICATION OF KEY FINDINGS

fMRI studies delineate brain systems that contribute to cognitive deficits and reactivity to stimuli that generate the desire to smoke. Nicotinic and non-nicotinic pharmacotherapy may reduce smoking via distinct neural mechanisms of action. These findings should contribute to the development of new medications and discovery of early markers of the therapeutic response of cigarette smokers.

Behavioural interventions as adjuncts 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 July 2012 for records with any mention of pharmacotherapy, including any type of 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. Controls 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

Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by both authors. Data were extracted by one author and checked by the other.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

Thirty-eight studies met the inclusion criteria with over 15,000 participants in the relevant arms. There was very little evidence of statistical heterogeneity (I² = 3%) so all studies were pooled in the main analysis. There was evidence of a small but statistically significant benefit from more intensive support (RR 1.16, 95% CI 1.09 to 1.24) for abstinence at longest follow-up. All but two of the included studies provided four or more sessions of support. Most trials used nicotine replacement therapy. Significant effects were not detected 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 effects (six trials, RR 1.25, 95% CI 1.08 to 1.45), as did studies where all intervention counselling was via telephone (six trials, RR 1.28, 95% CI 1.17 to 1.41). Weaker evidence for a benefit of providing additional behavioural support was seen in the trials where all participants, including those in the control condition, had at least 30 minutes of personal contact (18 trials, RR 1.11, 95% CI 0.99 to 1.25). None of the differences between subgroups were significant, and the last two subgroup analyses were not prespecified. No trials were judged at high risk of bias on any domain.

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 38 trials. A subgroup analysis of a small number of trials suggests the benefit could be a little greater when the contrast is between a no contact control and a behavioural intervention that provides at least four sessions of contact. Subgroup analysis also suggests that there may be a smaller incremental benefit from providing even more intensive support via more or longer sessions over and above some personal contact.

Combined pharmacotherapy and behavioural interventions for smoking cessation

BACKGROUND

Both behavioural support (including brief advice and counselling) and pharmacotherapies (including nicotine replacement therapy (NRT), varenicline and bupropion) are effective in helping people to stop smoking. Combining both treatment approaches is recommended where possible, but the size of the treatment effect with different combinations and in different settings and populations is unclear.

OBJECTIVES

To assess the effect of combining behavioural support and medication to aid smoking cessation, compared to a minimal intervention or usual care, and to identify whether there are different effects depending on characteristics of the treatment setting, intervention, population treated, or take-up of treatment.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in July 2012 for records with any mention of pharmacotherapy, including any type of NRT, bupropion, nortriptyline or varenicline.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials evaluating combinations of pharmacotherapy and behavioural support for smoking cessation, compared to a control receiving usual care or brief advice or less intensive behavioural 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

Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by both authors. Data was extracted by one author and checked by the other.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-one studies with a total of more than 20,000 participants met the inclusion criteria. A large proportion of studies recruited people in healthcare settings or with specific health needs. Most studies provided NRT. Behavioural support was typically provided by specialists in cessation counselling, who offered between four and eight contact sessions. The planned maximum duration of contact was typically more than 30 minutes but less than 300 minutes. Overall, studies were at low or unclear risk of bias, and findings were not sensitive to the exclusion of any of the three studies rated at high risk of bias in one domain. One large study (the Lung Health Study) contributed heterogeneity due to a substantially larger treatment effect than seen in other studies (RR 3.88, 95% CI 3.35 to 4.50). Since this study used a particularly intensive intervention which included extended availability of nicotine gum, multiple group sessions and long term maintenance and recycling contacts, the results may not be comparable with the interventions used in other studies, and hence it was not pooled in other analyses. Based on the remaining 40 studies (15,021 participants) there was good evidence for a benefit of combination pharmacotherapy and behavioural treatment compared to usual care or brief advice or less intensive behavioural support (RR 1.82, 95% CI 1.66 to 2.00) with moderate statistical heterogeneity (I² = 40%). The pooled estimate for 31 trials that recruited participants in healthcare settings (RR 2.06, 95% CI 1.81 to 2.34) was higher than for eight trials with community-based recruitment (RR 1.53, 95% CI 1.33 to 1.76). Pooled estimates were lower in a subgroup of trials where the behavioural intervention was provided by specialist counsellors versus trials where counselling was linked to usual care (specialist: RR 1.73, 95% CI 1.55 to 1.93, 28 trials; usual provider: RR 2.41, 95% CI 1.91 to 3.02, 8 trials) but this was largely attributable to the small effect size in two trials using specialist counsellors where the take-up of the planned intervention was low, and one usual provider trial with alarge effect. There was little indirect evidence that the relative effect of an intervention differed according to whether participants in a trial were required to be motivated to make a quit attempt or not. There was only weak evidence that studies offering more sessions had larger effects and there was not clear evidence that increasing the duration of contact increased the effect, but there was more evidence of a dose-response relationship when analyses were limited to trials where the take-up of treatment was high.

AUTHORS' CONCLUSIONS

Interventions that combine pharmacotherapy and behavioural support increase smoking cessation success compared to a minimal intervention or usual care. Further trials would be unlikely to change this conclusion. We did not find strong evidence from indirect comparisons that offering more intensive behavioural support was associated with larger treatment effects but this could be because intensive interventions are less likely to be delivered in full.

Smoking cue reactivity in adult smokers with and without depression: a pilot study

Little is known about the relationship between Major Depressive Disorder (MDD) and smoking-related behaviors such as cue-induced urges to smoke. The purpose of this pilot study was to examine: (1) differences in smoking cue reactivity by MDD history and (2) the association of a diagnosis of MDD, current depressive symptoms, and smoking variables to cue-induced urges to smoke. Participants (N = 52) were n = 31 smokers with no MDD history and n = 21 smokers with past MDD. Participants completed a 2-hour laboratory session during which they were exposed to neutral (eg, pencils) and smoking cues (eg, cigarettes) after smoking one of their preferred brand cigarettes (Satiated Condition) and when it had been 1 hour since they smoked (Brief Deprivation Condition). Cue-induced urges increased with exposure to smoking cues and this increase did not significantly differ by diagnosis group. Current symptoms of depression, but not a diagnosis of MDD, were significantly and positively related to cue-induced cravings in satiated adult smokers. The association between depression symptoms and smoking urges was not significant in the Brief Deprivation Condition. Smoking cue reactivity may be a useful procedure for studying aspects of smoking behavior in adults with depression.

Isolating the role of psychological dysfunction in smoking cessation: relations of personality and psychopathology to attaining cessation milestones

Research exploring psychological dysfunction as a predictor of smoking cessation success may be limited by nonoptimal predictor variables (i.e., categorical psychodiagnostic measures vs. continuous personality-based manifestations of dysfunction) and imprecise outcomes (i.e., summative point-prevalence abstinence vs. constituent cessation milestone measures). Accordingly, this study evaluated the unique and overlapping relations of broad-spectrum personality traits (positive emotionality, negative emotionality, and constraint) and past-year psychopathology (anxiety, mood, and substance use disorder) to point-prevalence abstinence and three smoking cessation milestones: (a) initiating abstinence, (b) first lapse, and (c) transition from lapse to relapse. Participants were daily smokers (N = 1365) enrolled in a smoking cessation treatment study. In single-predictor regression models, each manifestation of internalizing dysfunction (lower positive emotionality, higher negative emotionality, and anxiety and mood disorder) predicted failure at one or more cessation milestone(s). In simultaneous predictor models, lower positive and higher negative emotionality significantly predicted failure to achieve milestones after controlling for psychopathology. Psychopathology did not predict any outcome when controlling for personality. Negative emotionality showed the most robust and consistent effects, significantly predicting failure to initiate abstinence, earlier lapse, and lower point-prevalence abstinence rates. Substance use disorder and constraint did not predict cessation outcomes, and no single variable predicted lapse-to-relapse transition. These findings suggest that personality-related manifestations of internalizing dysfunction are more accurate markers of affective sources of relapse risk than mood and anxiety disorders. Further, individuals with high trait-negative emotionality may require intensive intervention to promote the initiation and early maintenance of abstinence.

Pharmacologic agents for tobacco dependence treatment: 2011 update

Tobacco use remains the most important worldwide cause of preventable death due mainly to cancer, cardiovascular disease, and chronic lung disease. If the current tobacco pandemic continues for another 20 years, the annual global tobacco-attributable mortality will exceed 8 million. In the US and many European countries, public health and tobacco control efforts combined with effective tobacco dependence treatment using combined behavioral treatment and pharmacotherapy have contributed significantly to steadily declining rates of tobacco use. Subsequent declines in cardiovascular disease and lung cancer death rates are directly attributable to these lower rates of tobacco use. Despite smoking bans, health warnings and effective pharmacotherapy, one in five Americans continue to smoke. Continued research in tobacco dependence treatment has resulted in newer and more effective pharmacotherapy. In this review, we provide a current update of pharmacologic agents for tobacco dependence treatment and a discussion of recent controversy regarding adverse effects of some these medications.