Tobacco withdrawal-induced changes in sensorimotor filtering as a predictor of smoking lapse in trauma-exposed individuals

Prepulse inhibition (PPI) is a measure of sensorimotor filtering thought to shield the processing of initial weaker auditory stimuli from interruption by a later startle response. Previous studies have shown smoking withdrawal to have a negative impact on sensorimotor filtering, particularly in individuals with psychopathology. Because tobacco use may alleviate sensory and sensorimotor filtering deficits, we examined whether smoking withdrawal-induced changes in PPI were associated with maintenance of smoking abstinence in trauma-exposed individuals with and without PTSD who were attempting to quit smoking. Thirty-eight individuals (n = 24 with current or past PTSD; 14 trauma-exposed healthy controls) made an acute biochemically-verified smoking cessation attempt supported by 8 days of contingency management (CM) and cognitive behavioral therapy (CBT) for smoking. Participants completed a PPI task at the pre-quit baseline, 2 days post-quit, and 5 days post-quit. Post-quit changes in PPI were compared between those who remained abstinent for the first 8-days of the quit attempt and those who lapsed back to smoking. PPI changes induced by biochemically-verified smoking abstinence were associated with maintenance of abstinence across the 8-day CM/CBT-supported quit attempt. As compared to those who maintained tobacco abstinence, participants who lapsed to smoking had significantly lower PPI at 2 and 5 days post-quit relative to baseline. Thus, among trauma-exposed individuals, decreases in PPI during acute smoking cessation supported by CM/CBT are associated with lapse back to smoking. Interventions that improve PPI during early smoking abstinence may facilitate smoking cessation among such individuals who are at high risk for chronic, refractory tobacco use.

Integrated smoking cessation and mood management following acute coronary syndrome: Protocol for the post-acute cardiac event smoking (PACES) trial

BACKGROUND

Approximately 400,000 people who smoke cigarettes survive Acute Coronary Syndrome (ACS; unstable angina, ST and non-ST elevation myocardial infarction) each year in the US. Continued smoking following ACS is an independent predictor of mortality. Depressed mood post-ACS is also predictive of mortality, and smokers with depressed mood are less likely to abstain from smoking following an ACS. A single, integrated treatment targeting depressed mood and smoking could be effective in reducing post-ACS mortality.

METHOD/DESIGN

The overall aim of the current study is to conduct a fully powered efficacy trial enrolling 324 smokers with ACS and randomizing them to 12 weeks of an integrated smoking cessation and mood management treatment [Behavioral Activation Treatment for Cardiac Smokers (BAT-CS)] or control (smoking cessation and general health education). Both groups will be offered 8 weeks of the nicotine patch if medically cleared. Counseling in both arms will be provided by tobacco treatment specialists. Follow-up assessments will be conducted at end-of-treatment (12-weeks) and 6, 9, and 12 months after hospital discharge. We will track major adverse cardiac events and all-cause mortality for 36 months post-discharge. Primary outcomes are depressed mood and biochemically validated 7-day point prevalence abstinence from smoking over 12 months.

DISCUSSION

Results of this study will inform smoking cessation treatments post-ACS and provide unique data on the impact of depressed mood on success of post-ACS health behavior change attempts.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03413423. Registered 29 January 2018. https://beta.

CLINICALTRIALS

gov/study/NCT03413423 .

Pilot trial of QuitBet: A digital social game that pays you to stop smoking

Contingency management is an effective treatment for cigarette smoking cessation but feasibility and acceptability concerns have been barriers to implementation. We conducted a pilot test of QuitBet, a commercial, digital (smartphone) social game for smoking cessation during which participants earned financial incentives for abstinence. QuitBet included a social feed for posting messages and entirely participant-funded incentives in the form of a deposit contract (the "bet"). QuitBet had a bet of $30 and lasted for 28 days. After a week to prepare for quitting, the quit day was Day 8. Between Day 9-28 (a 20-day period), participants earned back $1 of their $30 bet for each day of carbon monoxide (CO)-verified abstinence (≤ 6 ppm). Remaining bet money was pooled into a "grand prize" pot. Participants who were abstinent on at least 19 of the 20 days (1 "lapse" day allowed) were declared "winners" and split the grand prize pot equally. A game host posted a daily message containing evidence-based education about smoking cessation or a discussion topic. Recruitment goals were met. Among the players (N = 50 U.S. adults, 78% female), 17 (34%) were winners. Thirty-seven participants (74%) responded to a post-QuitBet survey, of whom 95% said they would be interested in playing another QuitBet and would recommend QuitBet to others. Overall, feedback was positive with some suggestions for improvement. In conclusion, a digital social game for smoking cessation with a deposit contract was feasible and acceptable. Next steps include conducting a randomized trial to establish efficacy and a sustainable business model. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Implementing Chronic Care Model Treatments for Cigarette Dependence in Community Mental Health Clinics

Objective: Tobacco use is rarely addressed in community mental healthcare settings, despite its high prevalence among people with serious mental illness. The aim of the current study was to gather stakeholder feedback regarding the feasibility of chronic care management strategies for tobacco dependence in community mental health centers (CMHCs). Chronic care strategies evaluated included the 5 As (Ask about tobacco use, Advise users of tobacco to quit, Assess interest in cessation, Assist with cessation, and Arrange for follow-up) and proactive telephone outreach (reaching out to all users of tobacco to offer connection to tobacco cessation treatment). Methods: Using a semi-structured interview guide informed by the Practical Robust Implementation and Sustainability Model, we conducted individual semi-structured interviews with providers, leaders, and clients across two CMHCs. Our objectives were to capture their attitudes toward smoking cessation treatment, two chronic care model interventions (i.e., proactive outreach, the 5 As), and to determine the infrastructure needed to implement such interventions in their CMHCs. Thematic analysis was conducted by two independent coders to uncover pertinent themes. Results: Participants (n = 20) included nine providers, six leaders, and five clients. Thematic analysis revealed three major themes: (1) characteristics of recipients, (2) characteristics of the intervention, and (3) infrastructure needed for implementation and sustainability. Providers, leaders, and clients all reported that tobacco cessation treatment was rarely provided in CMHCs and expressed an interest in such treatments becoming more available. The 5 As and proactive outreach were viewed as feasible and acceptable to deliver and receive. Providers, leaders, and clients wanted support to connect clients with smoking cessation treatment. Providers and leaders requested a range of implementation supports, including didactic trainings, decision aids, performance feedback, and coaching on evidence-based tobacco cessation treatments for people with serious mental illness. Clients requested tobacco cessation resources, such as a cessation counseling provided at the CMHC and prescriptions for cessation medication. Conclusions: CMHC providers, leaders, and clients are interested in making tobacco cessation services more widely accessible and available. The feedback gathered in this study can be used to inform the delivery and implementation of guideline-adherent tobacco dependence care in CMHCs.

Chronic care treatment for smoking cessation in patients with serious mental illness: a pilot randomized trial

BACKGROUND

Rates of smoking among those with serious mental illness (SMI) are two to three times higher than for the general population. Smoking is rarely addressed in mental health settings. Innovative outreach and treatment strategies are needed to address these disparities. The current study is a pilot study of the feasibility and acceptability of a chronic care model of tobacco cessation treatment implemented in outpatient psychiatry clinics.

METHODS

Participants were recruited from two outpatient psychiatric clinics and randomly assigned to intervention (counseling and nicotine replacement for 8 weeks, plus ongoing proactive outreach calls inviting reengagement in treatment) or control (brief education and referral to the state quit line). Assessments were conducted at 8 weeks (end of initial treatment block) and 6 months (end of window for retreatment). Feasibility was assessed by enrollment rate, treatment engagement, and completion of follow-up assessments. Acceptability was assessed both quantitatively and qualitatively. Preliminary efficacy was assessed by 7-day and 30-day abstinence rates, rate of quit attempts, and cigarettes per day. Psychological health was measured to assess for changes related to treatment group or attempts to quit smoking.

RESULTS

Nineteen participants were randomized to intervention and 19 to control. Recruitment proved feasible, and high rates of treatment engagement (mean of 4.5 sessions completed in initial treatment block, 89.5% uptake of nicotine replacement) and retention (94.7% of follow-up assessments completed) were observed. Treatment acceptability was high. As anticipated, there were no significant differences in abstinence between groups, but results generally favored the intervention group, including bio-verified 7-day abstinence rates of 21.1% in intervention vs. 17.6% in control and self-reported 30-day abstinence rates of 16.1% in intervention vs. 5.1% in control at 8 weeks. Significantly more intervention participants made at least one quit attempt (94.7% vs 52.6%; OR = 16.20, 95% CI: 1.79-147.01). Cigarettes per day decreased significantly more in the intervention group at 8 weeks (b = - 13.19, SE = 4.88, p = .02).

CONCLUSIONS

It was feasible to recruit and retain SMI patients in a smoking cessation trial in the context of outpatient psychiatry. The novel chronic care model treatment was acceptable to patients and showed promise for efficacy. If efficacious, a chronic care model could be effective at reducing smoking among SMI patients.

TRIAL REGISTRATION

ClinicalTrial.gov #: NCT03822416 (registered January 30th 2019).

Effectiveness of Proactive Tobacco Cessation Treatment Outreach Among Smokers With Serious Mental Illness

INTRODUCTION

People with serious mental illness (SMI) have a high smoking prevalence and low quit rates. Few cessation treatments are tested in smokers with SMI. Mental health (MH) providers are reluctant to address smoking. Proactive tobacco cessation treatment strategies reach out directly to smokers to offer counseling and medication and improve treatment utilization and quit rates. The current study is a secondary analysis of a randomized controlled trial of proactive outreach for tobacco cessation treatment in VA MH patients.

AIMS AND METHODS

Participants (N = 1938, 83% male, mean age 55.7) across four recruitment sites, who were current smokers and had a MH visit in the past 12 months, were identified using the electronic medical record. Participants were randomized to Intervention (telephone outreach call plus invitation to engage in MH tailored telephone counseling and assistance obtaining nicotine replacement therapy) or Control (usual care). The current study assessed outcomes in participants with SMI (N = 982).

RESULTS

Compared to the Control group, participants assigned to the Intervention group were more likely to engage in telephone counseling (22% vs. 3%) and use nicotine replacement therapy (51% vs. 41%). Participants in the Intervention group were more likely to be abstinent (7-day point prevalence; 18%) at 12 months than participants in the Control group (11%) but equally likely to make quit attempts.

CONCLUSIONS

Proactive tobacco cessation treatment is an effective strategy for tobacco users with SMI. Proactive outreach had a particularly strong effect on counseling utilization. Future randomized clinical trials examining proactive tobacco treatment approaches in SMI treatment settings are needed.

IMPLICATIONS

Few effective treatment models exist for smokers with SMI. Proactive tobacco cessation outreach with connections to MH tailored telephone counseling and medication promotes tobacco abstinence among smokers with SMI and is an effective treatment strategy for this underserved population.

Electronic Cigarette Cessation among Adolescents and Young Adults

BACKGROUND

E-cigarette use is common among adolescents and young adults, yet little is known about e-cigarette cessation among this group. The current study assessed e-cigarette cessation attempts, interest in e-cigarette cessation, and methods of e-cigarette cessation most favored by young e-cigarette users.

METHODS

A cross-sectional survey was administered via Facebook and Instagram between February and April 2019 to enroll current, regular e-cigarette using adolescents and young adults who reported non-regular use of other tobacco products. Participants included 212 (51.4% female) adolescents and young adults (14 to 21 years of age) who reported six or more days of e-cigarette use and less than four days of other tobacco product use in the last 30 days.

RESULTS

More than half (n = 110; 51.9%) of the participants reported at least one past serious e-cigarette quit attempt. Among those, the average number of past quit attempts was 2.9 (SD = 3.9). Of the 157 (74.1%) participants who indicated they were interested in quitting e-cigarettes, 78 (49.7%) endorsed health risks as their primary reason for wanting to quit e-cigarettes. The most frequently endorsed intervention methods to aid in e-cigarette cessation were those delivered via digital methods, such as smartphone apps.

CONCLUSION

The current study provides preliminary data to support continued development of e-cigarette cessation treatments for adolescents and young adults. Future research should evaluate the potential use of digital methods to aid in e-cigarette cessation.

Electronic cigarette use patterns and chronic health conditions among people experiencing homelessness in MN: a statewide survey

BACKGROUND

Adults experiencing homelessness have higher rates of disease and premature morbidity compared to the general population. Tobacco use is a primary contributing factor to these disparities; however, less is known regarding e-cigarette use patterns among adults experiencing homelessness and whether e-cigarettes are used in a manner that is narrowing or widening health disparities. This study aimed to describe the 1) prevalence and trends in e-cigarette use, 2) correlates of e-cigarettes use, and 3) rates of chronic health conditions by product use pattern in a community-based sample of adults experiencing homelessness.

METHODS

Adults experiencing homelessness in Minnesota were surveyed by self-report in 2015 (n = 3672) and 2018 (n = 4181) regarding e-cigarette and combustible cigarette use, potential correlates of e-cigarette use, and self-reported chronic health conditions (i.e., asthma, hypertension, diabetes, and cancer).

RESULTS

Frequency of use increased from 2015 to 2018 for combustible cigarettes (66.9% vs. 72.3%), e-cigarettes (11.4% vs. 14.5%), and dual combustible/e-cigarette use (10.2% vs. 12.9%). The strongest bivariate correlates of past 30-day e-cigarette use were younger age, non-binary gender identification, non-heterosexual orientation, identification as White/Caucasian, greater frequency of lifetime homelessness, substance use, lack of regular place for medical care, mental health diagnosis, criminal justice involvement, and combustible cigarette smoking. Dual users had significantly higher rates of asthma and cancer than both those using combustible cigarettes and those using neither combustible nor e-cigarettes.

CONCLUSIONS

During a time when cigarette smoking, e-cigarette use, and dual use were decreasing in the general population in Minnesota, rates increased in the homeless population. We observed that the rates of dual use were more than five times greater among homeless adults compared to the general population in 2018. Correlates of e-cigarette use were identified and should be used to identify subpopulations for intervention targeting. Mechanisms of the relationship between dual use and increased risks of health conditions deserve further study.

Proactive tobacco treatment for veterans with posttraumatic stress disorder

OBJECTIVE

Individuals with posttraumatic stress disorder (PTSD) smoke at higher rates compared to the general population and experience significant barriers to initiating cessation treatment. Proactive outreach addresses these barriers by directly engaging with smokers and facilitating access to treatment. The objective of the present study was to evaluate a proactive outreach intervention for increasing rates of treatment utilization and abstinence among veteran smokers with and without PTSD.

METHOD

This is a secondary analysis of a randomized controlled trial conducted from 2013 to 2017 that demonstrated the effectiveness of proactive outreach among veterans using Veterans Affairs mental health care services. Electronic medical record data were used to identify participants with (n = 355) and without (n = 1,583) a diagnosis of PTSD. Logistic regressions modeled cessation treatment utilization (counseling, nicotine replacement therapy [NRT], and combination treatment) and abstinence (7-day point prevalence and 6-month prolonged at 6- and 12-month follow-ups) among participants randomized to proactive outreach versus usual care in the PTSD and non-PTSD subgroups, respectively.

RESULTS

Compared to usual care, proactive outreach increased combined counseling and NRT utilization among participants with PTSD (odds ratio [OR] = 26.25, 95% confidence interval [3.43, 201.17]) and without PTSD (OR = 10.20, [5.21, 19.98]). Proactive outreach also increased 7-day point prevalence abstinence at 12 months among participants with PTSD (OR = 2.62, [1.16, 5.91]) and without PTSD (OR = 1.61, [1.11, 2.34]).

CONCLUSIONS

Proactive outreach increased treatment utilization and abstinence among smokers with and without PTSD. Smokers with PTSD may need additional facilitation to initiate cessation treatment but are receptive when it is offered proactively. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Using Social Media to Recruit Youth Who Use Electronic Cigarettes

Objective: Research is needed to inform effective regulatory policy that can help curb electronic cigarette (e-cigarette) use among youth. However, several challenges interfere with studying e-cigarette use among youth. Social media may provide an outlet to overcome these challenges. Our objective was to provide instructional information on tested methods for using social media to study e-cigarette use among youth. Methods: We developed 13 advertisements that were used to recruit e-cigarette users 14-24 years old who lived in the United States. We measured the effectiveness of the advertisements and quality of the resulting data. Results: The advertisements reached 422,228 adolescents and young adults, 408 completed the survey, and 212 (52%) passed the quality check measures. The average cost per click was $0.36. Conclusions: Based on the current study, key recommendations for behavioral scientists interested in conducting e-cigarette research among youth include: (1) developing and testing multiple advertisements with the target audience; (2) advertising on social media platforms most commonly used by the target group; (3) tailoring (ie, age and interest) message options; and (4) using multiple types of data quality assurance items.

Proactive outreach tobacco treatment for socioeconomically disadvantaged smokers with serious mental illness

Smokers with serious mental illness (SMI) face individual, interpersonal, and healthcare provider barriers to cessation treatment utilization and smoking abstinence. Proactive outreach strategies are designed to address these barriers by promoting heightened contact with smokers and facilitating access to evidence-based treatments. The present study examined the effect of proactive outreach among smokers with SMI (n = 939) who were enrolled in the publicly subsidized Minnesota Health Care Programs (MHCP) and compared this effect to that observed among MHCP smokers without SMI (n = 1382). Relative to usual care, the intervention increased treatment utilization among those with SMI (52.1% vs 40.0%, p = 0.002) and without SMI (39.3% vs 25.4%, p < 0.001). The intervention also increased prolonged smoking abstinence among those with SMI (14.9% vs 9.4%, p = 0.010) and without SMI (17.7% vs 13.6%, p = 0.09). Findings suggest that implementation of proactive outreach within publicly subsidized healthcare systems may alleviate the burden of smoking in this vulnerable population. Trial Registration ClinicalTrials.gov identifier: NCT01123967.

Proactive Tobacco Treatment in a Behavioral Health Home

Tobacco use is rarely addressed in community mental healthcare despite high patient smoking prevalence. Community mental health centers have systems in place that could be used to comprehensively address tobacco use. This study tested feasibility of, satisfaction with, and safety of proactive tobacco treatment (tobacco outreach to offer connection to tobacco cessation treatment). Behavioral health home patients who smoke were randomly assigned to usual care (UC; N = 11) or proactive care (PC; N = 9). All participants were called 3-months post-randomization for follow-up. PC patients reported high satisfaction with the program and experienced no adverse events or mental health symptom exacerbation during treatment. PC patients reported greater reductions in cigarettes per day, more quit attempts, and more cessation medication utilization than UC patients. Proactive outreach for tobacco cessation is feasible in a behavioral health home, acceptable to patients, and may reduce smoking heaviness and promote quit attempts.

Smoking Status and Survival Among a National Cohort of Lung and Colorectal Cancer Patients

INTRODUCTION

The purpose of this study was to explore the association of smoking status and clinically relevant duration of smoking cessation with long-term survival after lung cancer (LC) or colorectal cancer (CRC) diagnosis. We compared survival of patients with LC and CRC who were never-smokers, long-term, medium-term, and short-term quitters, and current smokers around diagnosis.

METHODS

We studied 5575 patients in Cancer Care Outcomes Research and Surveillance (CanCORS), a national, prospective observational cohort study, who provided smoking status information approximately 5 months after LC or CRC diagnosis. Smoking status was categorized as: never-smoker, quit >5 years prior to diagnosis, quit between 1-5 years prior to diagnosis, quit less than 1 year before diagnosis, and current smoker. We examined the relationship between smoking status around diagnosis with mortality using Cox regression models.

RESULTS

Among participants with LC, never-smokers had lower mortality risk compared with current smokers (HR 0.71, 95% CI 0.57 to 0.89). Among participants with CRC, never-smokers had a lower mortality risk as compared to current smokers (HR 0.79, 95% CI 0.64 to 0.99).

CONCLUSIONS

Among both LC and CRC patients, current smokers at diagnosis have higher mortality than never-smokers. This effect should be further studied in the context of tumor biology. However, smoking cessation around the time of diagnosis did not affect survival in this sample.

IMPLICATIONS

The results from our analysis of patients in the CanCORS consortium, a large, geographically diverse cohort, show that both LC and CRC patients who were actively smoking at diagnosis have worse survival as compared to never-smokers. While current smoking is detrimental to survival, cessation upon diagnosis may not mitigate this risk.

Contingency management and cognitive behavioral therapy for trauma-exposed smokers with and without posttraumatic stress disorder

INTRODUCTION

Trauma-exposed individuals with and without posttraumatic stress disorder (PTSD) are more likely to smoke and less successful in quit attempts than individuals without psychopathology. Contingency management (CM) techniques (i.e., incentives for abstinence) have demonstrable efficacy for smoking cessation in some populations with psychopathology, but have not been well tested in PTSD. This pilot study examined the feasibility of CM plus brief cognitive behavioral therapy (CBT) in promoting smoking cessation among trauma-exposed individuals with and without PTSD.

METHODS

Fifty trauma-exposed smokers (18 with PTSD) were asked to abstain from tobacco and nicotine replacement therapy for one month. During week one of cessation, CBT was provided daily and increasing CM stipends were paid for each continuous day of biochemically-verified abstinence; CM stipends were withheld in response to smoking lapses and reset to the initial payment level upon abstinence resumption. CBT and fixed payments for study visits were provided during the subsequent three weeks.

RESULTS

Of the 50 eligible participants who attended at least one pre-quit visit (49% female, 35% current PTSD), 43 (86%) attended the first post-quit study visit, 32 (64%) completed the first week of CM/CBT treatment, and 26 (52%) completed the study. Post-quit seven-day point prevalence abstinence rates for participants with and without PTSD, respectively, were similar: 39% vs. 38% (1 week), 33% vs. 28% (2 weeks), 22% vs. 19% (3 weeks), and 22% vs. 13% (4 weeks).

CONCLUSIONS

Use of CM + CBT to support tobacco abstinence is a promising intervention for trauma-exposed smokers with and without PTSD.

Methods to reduce false reporting of substance abstinence in clinical research

OBJECTIVES

Substance use may influence study results in human subjects research. This study aims to report the concordance between self-report and biochemical assessments of substance use and test the effect of methods to reduce false reports of abstinence in trauma-exposed women participating in a research study.

METHODS

In this pilot study, substance use was assessed during telephone prescreening and via self-report and biochemical verification (i.e., urine toxicology and alcohol breathalyzer tests) at an in-person evaluation. Due to the high number of participants who tested positive for substances despite self-reporting abstinence during prescreening, study procedures were modified to disincentivize false self-reports of substance use two thirds of the way through recruitment. New potential participants were explicitly informed during prescreening and informed consent that a positive drug or alcohol test during screening would result in exclusion from the study and withholding of payment.

RESULTS

Prior to modifying study methods, 20% of participants who had reported abstinence during the telephone prescreen had a positive substance use test at the in-person visit. Modifying study procedures resulted in an 81% decrease in positive substance use assessments.

CONCLUSIONS

Adoption of this methodology may decrease inadvertent confounding of clinical research outcomes by undetected and/or misreported substance use.

Proactive tobacco treatment for individuals with and without a mental health diagnosis: Secondary analysis of a pragmatic randomized controlled trial

INTRODUCTION

Individuals with (vs. without) mental illness use tobacco at higher rates and have more difficulty quitting. Treatment models for smokers with mental illness are needed.

METHODS

This secondary analysis of the Victory Over Tobacco study [a pragmatic randomized clinical trial (N=5123) conducted in 2009-2011 of Proactive Care (proactive outreach plus connection to smoking cessation services) vs. Usual Care] tests the effectiveness of treatment assignment in participants with and without a mental health diagnosis on population-level, 6month prolonged abstinence at one year follow-up.

RESULTS

Analyses conducted in 2015-6 found that there was no interaction between treatment group and mental health group on abstinence (F(1,3300=1.12, p=0.29)). Analyses stratified by mental health group showed that those without mental illness, assigned to Proactive Care, had a significantly higher population-level abstinence rate than those assigned to Usual Care (OR=1.40, 95% CI=1.17-1.67); in those with mental illness, assignment to Proactive Care produced a non-significant increase in abstinence compared to Usual Care (OR=1.18, 95% CI=0.98-1.41). Those with mental illness reported more medical visits, cessation advice and treatment (p<0.001), similar levels of abstinence motivation (p>0.05), but lower abstinence self-efficacy (p<0.001).

CONCLUSIONS

Those with a mental health diagnosis benefitted less from proactive outreach regarding tobacco use. VA primary care patients with mental illness may not need additional outreach because they are connected to cessation resources during medical appointments. This group may also require more intensive cessation interventions targeting self-efficacy to improve cessation rates. Clinicaltrials.gov registration # NCT00608426.

Interactive Voice Response Calls to Promote Smoking Cessation after Hospital Discharge: Pooled Analysis of Two Randomized Clinical Trials

BACKGROUND

Hospitalization offers smokers an opportunity to quit smoking. Starting cessation treatment in hospital is effective, but sustaining treatment after discharge is a challenge. Automated telephone calls with interactive voice response (IVR) technology could support treatment continuance after discharge.

OBJECTIVE

To assess smokers' use of and satisfaction with an IVR-facilitated intervention and to test the relationship between intervention dose and smoking cessation.

DESIGN

Analysis of pooled quantitative and qualitative data from the intervention groups of two similar randomized controlled trials with 6-month follow-up.

PARTICIPANTS

A total of 878 smokers admitted to three hospitals. All received cessation counseling in hospital and planned to stop smoking after discharge.

INTERVENTION

After discharge, participants received free cessation medication and five automated IVR calls over 3 months. Calls delivered messages promoting smoking cessation and medication adherence, offered medication refills, and triaged smokers to additional telephone counseling.

MAIN MEASURES

Number of IVR calls answered, patient satisfaction, biochemically validated tobacco abstinence 6 months after discharge.

KEY RESULTS

Participants answered a median of three of five IVR calls; 70% rated the calls as helpful, citing the social support, access to counseling and medication, and reminders to quit as positive factors. Older smokers (OR 1.36, 95% CI 1.20-1.54 per decade) and smokers hospitalized for a smoking-related disease (OR 1.65, 95% CI 1.21-2.23) completed more calls. Smokers who completed more calls had higher quit rates at 6-month follow-up (OR 1.49, 95% CI 1.30-1.70, for each additional call) after multivariable adjustment for age, sex, education, discharge diagnosis, nicotine dependence, duration of medication use, and perceived importance of and confidence in quitting.

CONCLUSIONS

Automated IVR calls to support smoking cessation after hospital discharge were viewed favorably by patients. Higher IVR utilization was associated with higher odds of tobacco abstinence at 6-month follow-up. IVR technology offers health care systems a potentially scalable means of sustaining tobacco cessation interventions after hospital discharge.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifiers NCT01177176, NCT01714323.

Integrating tobacco treatment into thoracic oncology settings: Lessons learned

Clinical practice guidelines recommend tobacco treatment for all cancer patients. However, little is known about how to integrate tobacco treatment into cancer care. The results of our pilot study of an evidence-based tobacco treatment integrated into a thoracic oncology clinic demonstrated good feasibility and efficacy, providing an opportunity to inform future tobacco treatment integration efforts. Here, we describe the process of intervention development, clinic integration, patient identification, and patient enrollment. We report on the intervention content and delivery, patterns of quitting for participants in the tobacco treatment group, and changes in smoking-related psychosocial variables. Clinical implications and suggestions for future research are discussed.

Pharmacologic and Behavioral Withdrawal From Addictive Drugs

Recent theories suggest that drug withdrawal does not motivate drug use and relapse. However, data now show that withdrawal produces complex changes over time in at least two symptoms (i.e., negative affect and urges) that are highly predictive of relapse. Evidence suggests that falling levels of the drug in the blood and interruption of the drug self-administration ritual both affect these symptoms. Both of these forms of withdrawal motivate renewed drug use in addicted individuals.

Post-traumatic stress disorder symptoms, underlying affective vulnerabilities, and smoking for affect regulation

BACKGROUND AND OBJECTIVES

Post-traumatic stress disorder (PTSD) is overrepresented among cigarette smokers. It has been hypothesized that those with PTSD smoke to alleviate negative affect and counteract deficient positive affect commonly associated with the disorder; however, limited research has examined associations between PTSD symptoms, smoking motives, and affective vulnerability factors. In the current study, we examined (1) whether PTSD symptoms were associated with positive reinforcement and negative reinforcement smoking motives; and (2) whether two affective vulnerability factors implicated in PTSD-anxiety sensitivity and anhedonia-mediated relationships between PTSD symptoms and smoking motives.

METHODS

Data were drawn from a community sample of non-treatment-seeking smokers recruited without regard for trauma history (N = 342; 10+ cig/day). We used the Posttraumatic Stress Disorder Checklist-Civilian Version (PCL-C) to assess overall PTSD symptom severity as well as individual PTSD subfactors.

RESULTS

Overall, PTSD symptom severity was significantly associated with negative reinforcement, but not positive reinforcement, smoking motives. Variation in anxiety sensitivity significantly mediated the relation between PTSD symptom severity and negative reinforcement smoking motives, whereas anhedonia did not. Regarding PTSD subfactors, emotional numbing was the only PTSD subfactor associated with smoking rate, while re-experiencing symptoms were uniquely associated with both positive reinforcement and negative reinforcement smoking motives.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Findings suggest that anxiety sensitivity may be an important feature associated with PTSD that enhances motivation to smoke for negative reinforcement purposes. Smoking cessation interventions that alleviate anxiety sensitivity and enhance coping with negative affect may be useful for smokers with elevated PTSD symptoms.

Deployment stress, tobacco use, and postdeployment posttraumatic stress disorder: Gender differences

OBJECTIVE

Epidemiological research has demonstrated that tobacco use and posttraumatic stress disorder (PTSD) frequently co-occur and are highly prevalent among Veterans; research with female Veterans is limited. Given the increasing numbers of women deployed to combat zones in recent conflicts, the objective of the current study was to examine gender-specific associations between deployment stress, tobacco use and postdeployment PTSD symptoms.

METHOD

Two thousand thirteen Veterans deployed to Afghanistan and Iraq (50.9% female; mean age = 35.53) completed a postdeployment, mailed survey that assessed tobacco use before, during, and after deployment, deployment stressors, and postdeployment PTSD symptoms.

RESULTS

Warfare stress was associated with initiation and increases in tobacco use during deployment in both men and women, whereas harassment stress was associated with initiation and increases in tobacco use in women only. Only among women was continued postdeployment tobacco use associated with postdeployment PTSD symptoms.

CONCLUSIONS

We found a dose-dependent relationship between deployment stress and adoption and escalation of tobacco use; the stressors that provoked initiation and escalation of tobacco use differed by gender. Continued tobacco use after deployment was associated with PTSD in women suggesting that women used tobacco more selectively than men to regulate negative affect. Implications of this work are that training before combat and during combat on healthy means of coping with deployment stress is needed to prevent tobacco use. For women, reducing harassment stress during deployment and early treatment of acute stress and PTSD during and soon after deployment may prevent intractable tobacco use.

Smoking Status Confirmation by Proxy: Validation in a Smoking Cessation Trial

INTRODUCTION

Biochemical confirmation (BC) of self-report is the gold standard of evidence for abstinence in smoking cessation research, but difficulty in obtaining samples may bias estimates of quit rates. Proxy confirmation (PC) has not been validated in cessation trials. We assessed the feasibility and validity of PC in a cessation trial for hospitalized smokers.

METHODS

We enrolled 402 daily cigarette smokers during a hospital admission. At enrollment, participants provided demographics, smoking history, and named proxies to confirm their smoking status at follow-up. Participants provided self-reported (SR) 7-day tobacco abstinence by telephone at 6 months post-discharge. SR quitters were asked to mail a saliva sample for BC. Incentives were offered for survey completion ($20) and returned samples ($50). We called proxies for all those with SR to obtain PC. Quit rates were calculated with missing data indicating smoking. We assessed associations of nonresponse with baseline characteristics using chi-squared tests and logistic regression. We calculated the sensitivity and specificity of PC in detecting smokers as determined by BC.

RESULTS

All patients named at least one proxy. Response rates were 82% for SR, 84% for PC, and 69% for BC. Observed participant characteristics were unrelated to provision of sample for BC. Estimated quit rates were 35% for SR, 27% for SR + PC, 21% for SR + BC and 27% for SR + BC or PC. Sensitivity of PC was not higher than SR (73% vs. 77%); specificity was lower (84% vs. 100%).

CONCLUSION

PC was feasible but not superior to self-report in a cessation trial.

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.

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.

A snapshot of smokers after lung and colorectal cancer diagnosis

BACKGROUND

Continued smoking after a cancer diagnosis may adversely affect treatment effectiveness, subsequent cancer risk, and survival. The prevalence of continued smoking after cancer diagnosis is understudied.

METHODS

In the multi-regional Cancer Care Outcomes Research and Surveillance cohort (lung cancer [N = 2456], colorectal cancer [N = 3063]), the authors examined smoking rates at diagnosis and 5 months after diagnosis and also study factors associated with continued smoking.

RESULTS

Overall, 90.2% of patients with lung cancer and 54.8% of patients with colorectal cancer reported ever smoking. At diagnosis, 38.7% of patients with lung cancer and 13.7% of patients with colorectal cancer were smoking; whereas, 5 months after diagnosis, 14.2% of patients with lung cancer and 9.0% of patients with colorectal cancer were smoking. Factors that were associated independently with continued smoking among patients with nonmetastatic lung cancer were coverage by Medicare, other public/unspecified insurance, not receiving chemotherapy, not undergoing surgery, prior cardiovascular disease, lower body mass index, lower emotional support, and higher daily ever-smoking rates (all P < .05). Factors that were associated independently with continued smoking among patients with nonmetastatic colorectal cancer were male sex, high school education, being uninsured, not undergoing surgery, and higher daily ever-smoking rates (all P < .05).

CONCLUSIONS

After diagnosis, a substantial minority of patients with lung and colorectal cancers continued smoking. Patients with lung cancer had higher rates of smoking at diagnosis and after diagnosis; whereas patients with colorectal cancer were less likely to quit smoking after diagnosis. Factors that were associated with continued smoking differed between lung and colorectal cancer patients. Future smoking-cessation efforts should examine differences by cancer type, particularly when comparing cancers for which smoking is a well established risk factor versus cancers for which it is not.

Disparities between blacks and whites in tobacco and lung cancer treatment

Racial disparities exist in lung cancer incidence, morbidity, and mortality. Smoking is responsible for the majority of lung cancers, and racial disparities also exist in smoking outcomes. Black smokers are less likely than white smokers to engage in evidence-based tobacco treatment, and black smokers are less likely than white smokers to stop smoking. Continued smoking following a lung cancer diagnosis is a potential indicator of poor lung cancer treatment outcomes, yet lung cancer patients who smoke are unlikely to receive evidence-based tobacco treatment. The risks from continued smoking after diagnosis deserve attention as a modifiable factor toward lessening racial disparities in lung cancer outcomes.

The effect of five smoking cessation pharmacotherapies on smoking cessation milestones

OBJECTIVE

Most smoking cessation studies have used long-term abstinence as their primary outcome measure. Recent research has suggested that long-term abstinence may be an insensitive index of important smoking cessation mechanisms. The goal of the current study was to examine the effects of 5 smoking cessation pharmacotherapies using Shiffman et al.'s (2006) approach of examining the effect of smoking cessation medications on 3 process markers of cessation or smoking cessation milestones: initial abstinence, lapse, and the lapse-relapse transition.

METHOD

The current study (N = 1,504; 58.2% female and 41.8% male; 83.9% Caucasian, 13.6% African American, 2.5% other races) examined the effect of 5 smoking cessation pharmacotherapy treatments versus placebo (bupropion, nicotine lozenge, nicotine patch, bupropion + lozenge, patch + lozenge) on Shiffman et al.'s smoking cessation milestones over 8 weeks following a quit attempt.

RESULTS

Results show that all 5 medication conditions decreased rates of failure to achieve initial abstinence and most (with the exception of the nicotine lozenge) decreased lapse risk; however, only the nicotine patch and bupropion + lozenge conditions affected the lapse-relapse transition.

CONCLUSIONS

These findings demonstrate that medications are effective at aiding initial abstinence and decreasing lapse risk but that they generally do not decrease relapse risk following a lapse. The analysis of cessation milestones sheds light on important impediments to long-term smoking abstinence, suggests potential mechanisms of action of smoking cessation pharmacotherapies, and identifies targets for future treatment development.

Smoker characteristics and smoking-cessation milestones

BACKGROUND

Contextual variables often predict long-term abstinence, but little is known about how these variables exert their effects. These variables could influence abstinence by affecting the ability to quit at all, or by altering risk of lapsing, or progressing from a lapse to relapse.

PURPOSE

To examine the effect of common predictors of smoking-cessation failure on smoking-cessation processes.

METHODS

The current study (N=1504, 58% female, 84% Caucasian; recruited from January 2005 to June 2007; data analyzed in 2009) uses the approach advocated by Shiffman et al. (2006), which measures cessation outcomes on three different cessation milestones (achieving initial abstinence, lapse risk, and the lapse-relapse transition) to examine relationships of smoker characteristics (dependence, contextual and demographic factors) with smoking-cessation process.

RESULTS

High nicotine dependence strongly predicted all milestones: not achieving initial abstinence, and a higher risk of both lapse and transitioning from lapse to complete relapse. Numerous contextual and demographic variables were associated with higher initial cessation rates and/or decreased lapse risk at 6 months post-quit (e.g., ethnicity, gender, marital status, education, smoking in the workplace, number of smokers in the social network, and number of supportive others). However, aside from nicotine dependence, only gender significantly predicted the risk of transition from lapse to relapse.

CONCLUSIONS

These findings demonstrate that (1) higher nicotine dependence predicted worse outcomes across every cessation milestone; (2) demographic and contextual variables are generally associated with initial abstinence rates and lapse risk and not the lapse-relapse transition. These results identify groups who are at risk for failure at specific stages of the smoking-cessation process, and this may have implications for treatment.

Using decision tree analysis to identify risk factors for relapse to smoking

This research used classification tree analysis and logistic regression models to identify risk factors related to short- and long-term abstinence. Baseline and cessation outcome data from two smoking cessation trials, conducted from 2001 to 2002 in two Midwestern urban areas, were analyzed. There were 928 participants (53.1% women, 81.8% White) with complete data. Both analyses suggest that relapse risk is produced by interactions of risk factors and that early and late cessation outcomes reflect different vulnerability factors. The results illustrate the dynamic nature of relapse risk and suggest the importance of efficient modeling of interactions in relapse prediction.

Do smokers know what we're talking about? The construct validity of nicotine dependence questionnaire measures

Few studies have examined whether nicotine dependence self-report questionnaires can predict specific behaviors and symptoms at specific points in time. The present study used data from a randomized clinical trial (N = 608; M. E. Piper et al., 2007) to assess the construct validity of scales and items from 3 nicotine dependence measures: the Fagerström Test for Nicotine Dependence (T. F. Heatherton, L. T. Kozlowski, R. C. Frecker & K.-O. Fagerström, 1991), the Nicotine Dependence Syndrome Scale (S. Shiffman, A. J. Waters, & M. Hickcox, 2004), and the Wisconsin Inventory of Smoking Dependence Motives (M. E. Piper et al., 2004). Scales from these measures were used to predict participants' reports on real-time measures of withdrawal symptoms and smoking behavior and retrospective self-report questionnaires to assess convergent and discriminative validity. The nicotine dependence measures' scales and items generally predicted the real-time measures of similar constructs, but the percent of variance accounted for was low. The nicotine dependence measures did, however, show evidence of discriminative validity. Thus, this study provides modest support for the construct validity of these nicotine dependence scales.

Comparative effectiveness of 5 smoking cessation pharmacotherapies in primary care clinics

BACKGROUND

Randomized efficacy clinical trials conducted in research settings may not accurately reflect the benefits of tobacco dependence treatments when used in real-world clinical settings. Effectiveness trials (eg, in primary care settings) are needed to estimate the benefits of cessation treatments in real-world use.

METHODS

A total of 1346 primary care patients attending routine appointments were recruited by medical assistants in 12 primary care clinics. Patients were randomly assigned to 5 active pharmacotherapies: 3 monotherapies (nicotine patch, nicotine lozenge, and bupropion hydrochloride sustained release [SR]) and 2 combination therapies (patch + lozenge and bupropion SR + lozenge). Patients were referred to a telephone quit line for cessation counseling. Primary outcomes included 7-day point prevalence abstinence at 1 week, 8 weeks, and 6 months after quitting and number of days to relapse.

RESULTS

Among 7128 eligible smokers (> or =10 cigarettes per day) attending routine primary care appointments, 1346 (18.9%) were enrolled in the study. Six-month abstinence rates for the 5 active pharmacotherapies were the following: bupropion SR, 16.8%; lozenge, 19.9%; patch, 17.7%; patch + lozenge, 26.9%; and bupropion SR + lozenge, 29.9%. Bupropion SR + lozenge was superior to all of the monotherapies (odds ratio, 0.46-0.56); patch + lozenge was superior to patch and bupropion monotherapies (odds ratio, 0.56 and 0.54, respectively).

CONCLUSIONS

One in 5 smokers attending a routine primary care appointment was willing to make a serious quit attempt that included evidence-based counseling and medication. In this comparative effectiveness study of 5 tobacco dependence treatments, combination pharmacotherapy significantly increased abstinence compared with monotherapies. Provision of free cessation medications plus quit line counseling arranged in the primary care setting holds promise for assisting large numbers of smokers to quit. Trial Registration clinicaltrials.gov Identifier: NCT00296647.

The Wisconsin Predicting Patients' Relapse questionnaire

INTRODUCTION

Relapse is the most common smoking cessation outcome. Accurate prediction of relapse likelihood could be an important clinical tool used to influence treatment selection or duration. The aim of this research was to develop a brief clinical relapse proneness questionnaire to be used with smokers interested in quitting in a clinical setting where time is at a premium.

METHODS

Diverse items assessing constructs shown in previous research to be related to relapse risk, such as nicotine dependence and self-efficacy, were evaluated to determine their independent contributions to relapse prediction. In an exploratory dataset, candidate items were assessed among smokers motivated to quit smoking who enrolled in one of three randomized controlled smoking cessation trials. A cross-validation dataset was used to compare the relative predictive power of the new instrument against the Fagerström Test for Nicotine Dependence (FTND) at 1-week, 8-week, and 6-month postquit assessments.

RESULTS

We selected seven items with relatively nonoverlapping content for the Wisconsin Predicting Patient's Relapse (WI-PREPARE) measure, a brief, seven-item questionnaire that taps physical dependence, environmental factors, and individual difference characteristics. Cross-validation analyses suggested that the WI-PREPARE demonstrated a stronger prediction of relapse at 1-week and 8-week postquit assessments than the FTND and comparable prediction to the FTND at a 6-month postquit assessment.

DISCUSSION

The WI-PREPARE is easy to score, suggests the nature of a patient's relapse risk, and predicts short- and medium-term relapse better than the FTND.

Refining the tobacco dependence phenotype using the Wisconsin Inventory of Smoking Dependence Motives

The construct of tobacco dependence is important from both scientific and public health perspectives, but it is poorly understood. The current research integrates person-centered analyses (e.g., latent profile analysis) and variable-centered analyses (e.g., exploratory factor analysis) to clarify the latent structure of nicotine dependence and to guide distillation of the phenotype. Using data from 4 samples of smokers, latent profiles were derived using the Wisconsin Inventory of Smoking Dependence Motives subscale scores. Across all 4 samples, results revealed a unique latent profile that had relative elevations on 4 subscales (Automaticity, Craving, Loss of Control, and Tolerance). Variable-centered analyses supported the uniqueness of these 4 subscales as they constituted a distinct common factor and were the strongest predictors of relapse and other dependence criteria. Conversely, the remaining 9 motives carried little unique predictive validity regarding dependence. Applications of a factor mixture model further supported the presence of a unique class of smokers in relation to a common factor underlying the 4 subscales. The results suggest that a pattern of smoking that is heavy, pervasive, automatic, and relatively unresponsive to instrumental contingencies is a necessary and sufficient condition for severe nicotine dependence.

Smoking cessation via the internet: a randomized clinical trial of an internet intervention as adjuvant treatment in a smoking cessation intervention

Internet interventions for smoking cessation are ubiquitous. Yet, to date, there are few randomized clinical trials that gauge their efficacy. This study is a randomized clinical trial (N= 284, n= 140 in the treatment group, n= 144 in the control group) of an Internet smoking cessation intervention. Smokers were randomly assigned to receive either bupropion plus counseling alone, or bupropion and counseling in addition to 12 weeks of access to the Comprehensive Health Enhancement Support System for Smoking Cessation and Relapse Prevention (CHESS SCRP; a Web site which provided information on smoking cessation as well as support). We found that access to CHESS SCRP was not significantly related to abstinence at the end of the treatment period (OR= 1.13, 95% CI 0.66-2.62) or at 6 months postquit (OR= 1.48, 95% CI 0.66-2.62). However, the number of times participants used CHESS SCRP per week was related to abstinence at both end of treatment (OR= 1.79, 95% CI 1.25-2.56) and at the 6-month follow-up (OR= 1.59, 95% CI 1.06-2.38). Participants with access to CHESS SCRP logged in an average of 33.64 times (SD=30.76) over the 90-day period of access. Rates of CHESS SCRP use did not differ by ethnicity, level of education or gender (all p>.05). In sum, results suggest that participants used CHESS SCRP frequently, CHESS SCRP use was related to success, but the effects in general did not yield intergroup effects.

Depression predicts smoking early but not late in a quit attempt

This study examined the relationship between depression history and smoking after a quit attempt. A total of 677 smokers participating in a randomized smoking cessation trial (Smith et al., 2001) provided data on current depression, depression history, and depression-related measures and smoking at 1 week and 6 months after a quit date. Depression history predicted smoking at 1 week postquit but not at 6 months postquit. Smoking during the first week was not predictive of smoking at 6 months in those with a history of depression but was predictive among those with no history of depression. Prediction models including depression history and depression-related measures (e.g., negative affect, negative cognitive style) showed that depression history was a powerful predictor of smoking early in the quit attempt.