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Background: Annual lung cancer screening (LCS) with low dose CT reduces lung cancer mortality. LCS is underutilized. Black people who smoke tobacco have high risk of lung cancer but are less likely to be screened than are White people. This study reports provider recommendation and patient completion of LCS and colorectal cancer screening (CRCS) among patients by race to assess for utilization of LCS., Methods: 3000 patients (oversampled for Black patients) across two healthcare systems (in Rhode Island and Minnesota) who had a chart documented age of 55 to 80 and a smoking history were invited to participate in a survey about cancer screening. Logistic regression analysis compared the rates of recommended and received cancer screenings., Results: 1177 participants responded (42% response rate; 45% White, 39% Black). 24% of respondents were eligible for LCS based on USPSTF 2013 criteria. One-third of patients eligible for LCS reported that a doctor had recommended screening, compared to 90% of patients reporting a doctor recommended CRCS. Of those recommended screening, 88% reported completing LCS vs. 83% who reported completion of a sigmoidoscopy/colonoscopy. Black patients were equally likely to receive LCS recommendations but less likely to complete LCS when referred compared to White patients. There was no difference in completion of CRCS between Black and White patients., Conclusions: Primary care providers rarely recommend lung cancer screening to patients with a smoking history. Systemic changes are needed to improve provider referral for LCS and to facilitate eligible Black people to complete LCS., (© 2024. The Author(s).)

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).

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., (© The Author(s) 2015.)

Background: Current guidelines advise providers to assess smokers' readiness to quit, then offer cessation therapies to smokers planning to quit and motivational interventions to smokers not planning to quit., Objectives: We examined the relationship between baseline stage of change (SOC), treatment utilization, and smoking cessation to determine whether the effect of a proactive smoking cessation intervention was dependent on smokers' level of motivation to quit., Design: Secondary analysis of a multicenter randomized controlled trial., Participants: A total of 3006 current smokers, aged 18-80 years, at four Veterans Affairs (VA) medical centers., Interventions: Proactive care included proactive outreach (mailed invitation followed by telephone outreach), offer of smoking cessation services (telephone or face-to-face), and access to pharmacotherapy. Usual care participants had access to VA smoking cessation services and state telephone quitlines., Main Measures: Baseline SOC measured with Readiness to Quit Ladder, and 6-month prolonged abstinence self-reported at 1 year., Key Results: At baseline, 35.8 % of smokers were in preparation, 38.2 % in contemplation, and 26.0 % in precontemplation. The overall interaction between SOC and treatment arm was not statistically significant (p = 0.30). Among smokers in preparation, 21.1 % of proactive care participants achieved 6-month prolonged abstinence, compared to 13.1 % of usual care participants (OR, 1.8 [95 % CI, 1.2-2.6]). Similarly, proactive care increased abstinence among smokers in contemplation (11.0 % vs. 6.5 %; OR, 1.8 [95 % CI, 1.1-2.8]). Smokers in precontemplation quit smoking at similar rates (5.3 % vs. 5.6 %; OR, 0.9 [95 % CI, 0.5-1.9]). Within each stage, uptake of smoking cessation treatments increased with higher SOC and with proactive care as compared with usual care., Limitations: Mostly male participants limits generalizability. Randomization was not stratified by SOC., Conclusions: Proactive care increased treatment uptake compared to usual care across all SOC. Proactive care increased smoking cessation among smokers in preparation and contemplation but not in precontemplation. Proactively offering cessation therapies to smokers at all SOC will increase treatment utilization and population-level smoking cessation.

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., (© American Academy of Addiction Psychiatry.)

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., (2013 APA, all rights reserved)

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., (Copyright © 2012 American Cancer Society.)

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., (Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

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.

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.

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.

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.

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., ((PsycINFO Database Record (c) 2008 APA, all rights reserved).)

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.

Background: Cigarette smoking has major detrimental effects on oral health. Tobacco interventions in dental settings are effective, but rarely delivered. The American Dental Hygienists Association recommends that oral health providers: Ask patients about tobacco use, Advise quitting tobacco use, and Refer to state quitlines (Ask-Advise-Refer; AAR). While AAR connects patients to counseling, it does not directly connect patients to medication. Nicotine replacement therapy sampling (NRTS) is an empirically supported intervention to provide starter packs of nicotine replacement therapy (NRT) to people who smoke. NRTS combined with AAR could be an effective tobacco treatment intervention for dental settings. Methods: This manuscript describes the study protocol for the Free Samples for Health (FreSH) study, a group randomized clinical trial testing the effectiveness of NRTS + AAR vs. AAR alone on long-term smoking abstinence. Fifty dental practices in the Midwest and Northeast nodes of the National Dental Practice-Based Research Network are randomly assigned to provide AAR and either a 2-week supply of 14-mg nicotine patches and 4-mg nicotine lozenges (NRTS condition) or an electric toothbrush (ET condition). Approximately 1,200 patients who currently smoke—regardless of interest in quitting— are recruited during dental visits. Participants complete a baseline survey in-person, then after visit, 1-, 3-, and 6-month follow-up surveys remotely. The primary outcome is carbon monoxide-confirmed 7-day point prevalence abstinence from combustible tobacco measured at 6 months post-enrollment. Secondary outcomes include: 24-h intentional quit attempts, change in cigarettes smoked per day, NRT utilization, attitudes toward NRT, intention to use NRT, and intention to quit smoking. A key informant process evaluation and cost effectiveness analysis will provide information for future implementation of NRTS. Discussion: This is the first clinical trial to assess the effectiveness of NRTS on promoting smoking cessation in dental settings. If effective, this treatment could be implemented to increase the provision of smoking cessation interventions in dental settings to provide an additional treatment access point for people who smoke. Trial Registration. Registered at ClincalTrials.gov (NCT05627596) on 11/25/2022. [ABSTRACT FROM AUTHOR]

Introduction. While many individuals quit smoking during pregnancy, most relapse within one year postpartum. Research into methods to decrease smoking relapse postpartum has been hampered by difficulties with recruitment. Method. We conducted individual interviews with pregnant women (N = 22) who were interested in quitting smoking while pregnant about their attitudes regarding smoking and quitting during pregnancy, clinical trial participation, and smoking cessation medication use. Results. Participants were aware of the risks of smoking while pregnant. Many wanted to quit smoking before delivery. Few used empirically supported treatments to quit. While research was viewed positively, interest in taking on new commitments postpartum and taking a medication to prevent relapse was low. Medication concerns were evident among most participants, especially among those planning to breastfeed. Further, several women noted medication was unnecessary, as they did not believe they would relapse postpartum. Financial incentives, childcare, and fewer and/or remote visits were identified as facilitators to participating in research. However, these factors did not outweigh women's concerns about medication use and time commitments. Conclusions. Women are aware that quitting smoking during pregnancy and remaining smoke-free postpartum are important. However, beliefs that personal relapse risk is low and that medications are dangerous reduced enthusiasm for taking medication for postpartum relapse prevention. Future medication trials should educate women about the high likelihood of relapse, prepare to answer detailed questions about risks of cessation medications, and connect with participants' clinicians. For new mothers, studies conducted remotely with few scheduled appointments would reduce barriers to participation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Introduction: Nicotine replacement therapy sampling (NRTS) refers to providing all smokers, regardless of interest in quitting, with free samples of over-the-counter NRT. NRTS has been shown to increase quit attempts and abstinence. Aims: We conducted a pilot trial with a goal to establish the feasibility and acceptability of NRTS in a dental clinic, where providing free samples is routine and universal. Methods: Participants (N = 30) completed a baseline survey and were randomized to receive or not receive a 2-week supply of NRT samples (14 mg patches and 4 mg lozenges) in a 3:1 ratio. Results: We enrolled 30 of 50 potentially eligible patients, of whom 26 completed a 4-week follow-up survey. At follow-up, 61% of the NRT group reported use of the samples and 26% said they used more NRT obtained on their own. In the No NRT group, only one patient reported using NRT. No patients reported past week abstinence, but 43% of the NRT group vs. 29% of the No NRT group reported making a quit attempt lasting longer than 24 h. Conclusions: The pattern of results suggests that conducting a larger trial would be feasible and that the NRTS intervention was acceptable to dental patients. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objectives: Poor mental health is associated with increased cigarette smoking, yet whether this extends to alternative tobacco product use remains unknown. Methods: Wave 1 data from the Population Assessment of Tobacco and Health study assessed relationships between selfperceived mental health (SPMH) and prevalence of and motives for tobacco use among US adults (N = 32,320). Results: Fair/poor SPMH, as compared to good/excellent SPMH, was associated with increased current cigarette (AOR = 2.91, 95% CI = 2.64, 3.20), e-cigarette (AOR = 1.35, 95% CI = 1.20, 1.53), cigarillo (AOR = 1.38, 95% CI = 1.22, 1.56), filtered cigar (AOR = 1.43, 95% CI = 1.21, 1.70), and smokeless tobacco (AOR = 1.17, 95% CI = 1.01, 1.36), but not traditional cigar use (AOR = 1.04, 95% CI = 0.90, 1.20). Whereas most motives for tobacco use were similar across SPMH rating, those with fair/poor SPMH, as compared to good/excellent SPMH, were more likely to report using traditional cigars due to affordability (AOR = 1.56, 95% CI = 1.23, 1.98) and ecigarettes (AOR = 1.43, 95% CI = 1.15, 1.79) and smokeless tobacco (AOR = 1.84, 95% CI = 1.19, 2.83) due to appealing advertising. Conclusions: Although individuals with poor SPMH are more likely to use alternative tobacco products than those with better SPMH, most motives for use are strikingly similar. These findings highlight the importance of continual monitoring of tobacco use trends among vulnerable populations. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Current guidelines advise providers to assess smokers' readiness to quit, then offer cessation therapies to smokers planning to quit and motivational interventions to smokers not planning to quit.Objectives: We examined the relationship between baseline stage of change (SOC), treatment utilization, and smoking cessation to determine whether the effect of a proactive smoking cessation intervention was dependent on smokers' level of motivation to quit.Design: Secondary analysis of a multicenter randomized controlled trial.Participants: A total of 3006 current smokers, aged 18-80 years, at four Veterans Affairs (VA) medical centers.Interventions: Proactive care included proactive outreach (mailed invitation followed by telephone outreach), offer of smoking cessation services (telephone or face-to-face), and access to pharmacotherapy. Usual care participants had access to VA smoking cessation services and state telephone quitlines.Main Measures: Baseline SOC measured with Readiness to Quit Ladder, and 6-month prolonged abstinence self-reported at 1 year.Key Results: At baseline, 35.8 % of smokers were in preparation, 38.2 % in contemplation, and 26.0 % in precontemplation. The overall interaction between SOC and treatment arm was not statistically significant (p = 0.30). Among smokers in preparation, 21.1 % of proactive care participants achieved 6-month prolonged abstinence, compared to 13.1 % of usual care participants (OR, 1.8 [95 % CI, 1.2-2.6]). Similarly, proactive care increased abstinence among smokers in contemplation (11.0 % vs. 6.5 %; OR, 1.8 [95 % CI, 1.1-2.8]). Smokers in precontemplation quit smoking at similar rates (5.3 % vs. 5.6 %; OR, 0.9 [95 % CI, 0.5-1.9]). Within each stage, uptake of smoking cessation treatments increased with higher SOC and with proactive care as compared with usual care.Limitations: Mostly male participants limits generalizability. Randomization was not stratified by SOC.Conclusions: Proactive care increased treatment uptake compared to usual care across all SOC. Proactive care increased smoking cessation among smokers in preparation and contemplation but not in precontemplation. Proactively offering cessation therapies to smokers at all SOC will increase treatment utilization and population-level smoking cessation. [ABSTRACT FROM AUTHOR]

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% C/) = 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM PUBLISHER]

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. [ABSTRACT FROM AUTHOR]

• Smoking withdrawal can impact sensorimotor filtering. • Sensorimotor deficits during smoking quit attempts may be a marker of lapse risk. • Sensorimotor filtering deficits may be a target for smoking cessation interventions. 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. [ABSTRACT FROM AUTHOR]