"Healthier health in more ways than one": Perspectives on a program for changing both smoking and obesity-related health behaviors.

INTRODUCTION: Individuals with obesity who smoke cigarettes have increased risk of morbidity and mortality. The goal of the current study was to inform the development of a multiple health behavior change intervention designed to facilitate smoking cessation while also targeting weight gain. METHODS: Four qualitative focus groups were conducted with individuals who smoked cigarettes and had overweight or obesity (n = 16) to explore the combined effects of smoking and obesity, past attempts to quit smoking or lose weight, and preferences for a combined health intervention. RESULTS: Focus groups converged on five themes including: the interactive effects of weight and smoking; lack of experience with evidence-based weight loss approaches; a desire and expectation to lose weight quickly; rapid weight gain during past attempts at smoking cessation; and interest in a multiple health behavior change intervention with weight management preceding smoking cessation and an emphasis on planning for the future and receiving encouragement and support. CONCLUSIONS: Groups provided insight into key topics to highlight in a combined intervention and key issues that have interfered with success in both domains.

Acute effects of exercise among individuals with schizophrenia who smoke cigarettes.

People with schizophrenia (SCZ) have a shorter life expectancy than those without psychiatric conditions. Of note, people with SCZ have high rates of cigarette smoking, physical inactivity, and obesity. These factors all coalesce to contribute to compromised health in this population, with smoking as a primary contributor. Therefore, it is paramount to develop effective smoking cessation strategies for this population. The purpose of this study was to investigate whether walking at a brisk pace, relative to engaging in passive activity, would reduce acute cigarette craving, nicotine withdrawal, and negative affect (NA) among people with SCZ who smoke cigarettes. Using a within-subjects design, twenty participants completed four laboratory sessions with condition sequence counterbalanced: 1) exposure to smoking cues + treadmill walking, 2) exposure to neutral cues + treadmill walking, 3) exposure to smoking cues + passive/sedentary activity, 4) exposure to neutral cues + passive/sedentary activity. Relative to sedentary activity, walking resulted in greater decreases in nicotine withdrawal but did not significantly affect craving or NA. These results did not vary as a function of cue type. These findings suggest that walking may be a helpful strategy to reduce acute nicotine withdrawal symptoms among people with SCZ. However, it should be used in conjunction with other strategies for smoking cessation.

Initial development and validation of a brief assessment of marijuana demand among young adult college students.

Hypothetical purchase tasks assess substance demand, but the length of purchase tasks makes repeated assessment of state-dependent changes in demand difficult, often limiting clinical utility. Although brief assessments of alcohol and cigarette demand exist, brief measures of cannabis demand do not. College students (N = 209, Mage = 19.92, SD = 1.45; 63% female; 56.9% non-Hispanic Caucasian) who reported using cannabis at least 3 days in the past month, completed an online survey including the full-length marijuana purchase task (MPT), a three-item brief assessment of marijuana demand (BAMD) assessing intensity, Omax and breakpoint, and cannabis use outcomes. Convergent and divergent validity were examined. Independent samples t tests compared demand on the BAMD and MPT based on presence or absence of cannabis use disorder (CUD) symptoms, and one-way between-subject analyses of variance compared effects of CUD severity (mild/moderate/severe) on BAMD indices. All indices were significantly correlated across both assessment measures (ps < .01). Similarly, all indices on both demand measures were significantly correlated with craving, CUD severity, and cannabis-related consequences (ps < .01); whereas only intensity and Omax were significantly correlated with cannabis use frequency (ps < .01). Individuals with (vs. without) CUD symptoms reported significantly greater intensity and Omax (ps < .01) and significant differences in CUD severity on BAMD indices were found as well (ps < .05). The BAMD demonstrated convergent and divergent validity with the MPT. Findings suggest that brief cannabis demand can be easily assessed as an indicator for high-risk cannabis use. Thus, the BAMD may be a useful and clinically relevant tool to assess cannabis demand in real-world settings. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Neuroeconomic predictors of smoking cessation outcomes: A preliminary study of delay discounting in treatment-seeking adult smokers.

Large proportions of smokers are unsuccessful in evidence-based smoking cessation treatment and identifying prognostic predictors may inform improvements in treatment. Steep discounting of delayed rewards (delay discounting) is a robust predictor of poor smoking cessation outcome, but the underlying neural predictors have not been investigated. Forty-one treatment-seeking adult smokers completed a functional magnetic resonance imaging (fMRI) delay discounting paradigm prior to initiating a 9-week smoking cessation treatment protocol. Behavioral performance significantly predicted treatment outcomes (verified 7-day abstinence, n = 18; relapse, n = 23). Participants in the relapse group exhibited smaller area under the curve (d = 1.10) and smaller AUC was correlated with fewer days to smoking relapse (r = 0.56, p < 0.001) Neural correlates of discounting included medial and dorsolateral prefrontal cortex, posterior cingulate, precuneus and anterior insula, and interactions between choice type and relapse status were present for the dorsolateral prefrontal cortex, precuneus and the striatum. This initial investigation implicates differential neural activity in regions associated with frontal executive and default mode activity, as well as motivational circuits. Larger samples are needed to improve the resolution in identifying the neural underpinnings linking steep delay discounting to smoking cessation.

Virtual Training Is More Cost-Effective Than In-Person Training for Preparing Staff to Implement Contingency Management.

Behavior therapy implementation relies in part on training to foster counselor skills in preparation for delivery with fidelity. Amidst Covid-19, the professional education arena witnessed a rapid shift from in-person to virtual training, yet these modalities' relative utility and expense is unknown. In the context of a cluster-randomized hybrid type 3 trial of contingency management (CM) implementation in opioid treatment programs (OTPs), a multi-cohort design presented rare opportunity to compare cost-effectiveness of virtual vs. in-person training. An initial counselor cohort (n = 26) from eight OTPs attended in-person training, and a subsequent cohort (n = 31) from ten OTPs attended virtual training. Common training elements were the facilitator, learning objectives, and educational strategies/activities. All clinicians submitted a post-training role-play, independently scored with a validated fidelity instrument for which performances were compared against benchmarks representing initial readiness and advanced proficiency. To examine the utility and expense of in-person and virtual trainings, cohort-specific rates for benchmark attainment were computed, and per-clinician expenses were estimated. Adjusted between-cohort differences were estimated via ordinary least squares, and an incremental cost effectiveness ratio (ICER) was calculated. Readiness and proficiency benchmarks were attained at rates 12-14% higher among clinicians attending virtual training, for which aggregated costs indicated a $399 per-clinician savings relative to in-person training. Accordingly, the ICER identified virtual training as the dominant strategy, reflecting greater cost-effectiveness across willingness-to-pay values. Study findings document greater utility, lesser expense, and cost-effectiveness of virtual training, which may inform post-pandemic dissemination of CM and other therapies.

The Role of Financial Strain and Educational Attainment on Smoking Abstinence of African Americans and Whites Who Smoke.

Objective: To examine if reduced financial strain and higher educational attainment would confer less advantage for successful cessation among African Americans than for White individuals. Design: A secondary data analysis of the Quit2Live study, a smoking cessation intervention for individuals who smoke. Setting: Recruited participants from a metropolitan city in the Midwest. Participants: The sample included 224 African American and 225 White individuals who smoke. Main Outcome Measures: Our outcome variable was cotinine-verified smoking abstinence at the end-of-treatment (week 12). Our explanatory variables were a combination of financial strain (high, low) and educational attainment (high, low). Methods: We implemented a logistic regression analysis and a two-way interaction of the combined financial strain and educational attainment variable and race on smoking abstinence. Results: About 25% of the study participants were low financial strain and high education, 41% high financial strain and high education, 23% high financial strain and low education, and 11% low financial strain and low education. A greater proportion of African Americans vs Whites were in the high financial strain/low educational attainment category (28% vs 18%, P = .01). Participants with high financial strain and low educational attainment had substantially lower odds of abstinence (OR = .29 [95% CI: .12, .68]) compared to participants with low financial strain and high educational attainment. Contrary to our hypothesis, race did not moderate this association. Conclusion: Findings highlight the constraining role of high financial strain and low educational attainment, irrespective of race, on smoking abstinence among smokers actively engaged in a quit attempt.

Motivational interviewing telephone counseling to increase postpartum maintenance of abstinence from tobacco.

Although many women quit smoking while pregnant, rates of relapse after delivery are high. We examined the effectiveness of motivational interviewing (MI) in maintaining postpartum abstinence from smoking among pregnant women who recently quit smoking (N = 382), randomized to receive five brief MI phone counseling calls or to a prenatal and postpartum care as usual control condition. Relapse to smoking was assessed at 3, 6, and 12 months postpartum based on self-report and urine cotinine. Cox regressions compared conditions on relapse outcomes and hazard ratio of total number of MI calls was examined to probe dose-response effects. Results revealed no difference in the hazard ratio of relapse between treatment condition and no dose-response effect of total number of MI calls. Phone counseling in the prenatal and postpartum period did not facilitate maintenance of abstinence among new mothers. Considerations for future intervention development studies on relapse prevention during the postpartum period are discussed.

Project MIMIC (Maximizing Implementation of Motivational Incentives in Clinics): A cluster-randomized type 3 hybrid effectiveness-implementation trial.

BACKGROUND: Opioid-related overdoses and harms have been declared a public health emergency in the United States, highlighting an urgent need to implement evidence-based treatments. Contingency management (CM) is one of the most effective behavioral interventions when delivered in combination with medication for opioid use disorder, but its implementation in opioid treatment programs is woefully limited. Project MIMIC (Maximizing Implementation of Motivational Incentives in Clinics) was funded by the National Institute on Drug Abuse to identify effective strategies for helping opioid treatment programs improve CM implementation as an adjunct to medication. Specific aims will test the impact of two different strategies on implementation outcomes (primary aim) and patient outcomes (secondary aims), as well as test putative mediators of implementation effectiveness (exploratory aim). METHODS: A 3-cohort, cluster-randomized, type 3 hybrid design is used with the opioid treatment programs as the unit of randomization. Thirty programs are randomized to one of two conditions. The control condition is the Addiction Technology Transfer Center (ATTC) Network implementation strategy, which consists of three core approaches: didactic training, performance feedback, and on-going consultation. The experimental condition is an enhanced ATTC strategy, with the same core ATTC elements plus two additional theory-driven elements. The two additional elements are Pay-for-Performance, which aims to increase implementing staff's extrinsic motivations, and Implementation & Sustainment Facilitation, which targets staff's intrinsic motivations. Data will be collected using a novel, CM Tracker tool to document CM session delivery, session audio recordings, provider surveys, and patient surveys. Implementation outcomes include CM Exposure (number of CM sessions delivered per patient), CM Skill (ratings of CM fidelity), and CM Sustainment (number of patients receiving CM after removal of support). Patient outcomes include self-reported opioid abstinence and opioid-related problems (both assessed at 3- and 6-months post-baseline). DISCUSSION: There is urgent public health need to improve the implementation of CM as an adjunct to medication for opioid use disorder. Consistent with its hybrid type 3 design, Project MIMIC is advancing implementation science by comparing impacts of these two multifaceted strategies on both implementation and patient outcomes, and by examining the extent to which the impacts of those strategies can be explained by putative mediators. TRIAL REGISTRATION: This clinical trial has been registered with clinicaltrials.gov (NCT03931174). Registered April 30, 2019. https://clinicaltrials.gov/ct2/show/NCT03931174?term=project+mimic&draw=2&rank=1.

Health Professional Stigma as a Barrier to Contingency Management Implementation in Opioid Treatment Programs.

Contingency management (CM) has robust evidence of effectiveness as an adjunct to medication for opioid use disorders. However, CM implementation in opioid treatment programs has been limited by a myriad of well-documented barriers. One relatively unexplored barrier that may hinder CM implementation is health professional stigma toward patients with opioid use disorders. Qualitative interviews were conducted with 43 health professionals (21 leaders, 22 front-line counselors) from 11 different opioid treatment programs across Rhode Island to explore their familiarity with CM and to elucidate barriers and facilitators to CM implementation. Interviews were transcribed and coded by 3 independent raters using a reflexive team approach. Transcripts were analyzed for both a priori and emergent themes. Health professional stigma was identified as an emergent major theme with 4 distinct subthemes: (a) distrust of patients (44%, N = 19); (b) infantilizing views about patients (19%, N = 8); (c) belief that patients do not deserve prizes (19%, N = 8); and (d) recognition of patient self-stigma and community-based stigma (23%, N = 10). In addition, we identified multiple instances of health professional use of potentially stigmatizing language toward patients with opioid use disorders via terms such as drug abuser, addict, and clean or dirty urine screens (70%, N = 30). Stigma themes were identified in 86% of the transcripts, highlighting potential targets for multilevel implementation strategies. Findings of this study suggest that multiple types of health professional stigma should be considered and proactively addressed in efforts by psychologists to implement CM and other evidence-based interventions in opioid treatment programs.

Implementation support for contingency management: preferences of opioid treatment program leaders and staff.

BACKGROUND: Contingency management (CM), a behavioral intervention that provides incentives for achieving treatment goals, is an evidence-based adjunct to medication to treat opioid use disorder. Unfortunately, many front-line treatment providers do not utilize CM, likely due to contextual barriers that limit effective training and ongoing support for evidence-based practices. This study applied user-informed approaches to adapt a multi-level implementation strategy called the Science to Service Laboratory (SSL) to support CM implementation. METHODS: Leaders and treatment providers working in community-based opioid treatment programs (OTPs; N = 43) completed qualitative interviews inquiring about their preferences for training and support implementation strategies (didactic training, performance feedback, and external facilitation). Our team coded interviews using a reflexive team approach to identify common a priori and emergent themes. RESULTS: Leaders and providers expressed a preference for brief training that included case examples and research data, along with experiential learning strategies. They reported a desire for performance feedback from internal supervisors, patients, and clinical experts. Providers and leaders had mixed feelings about audio-recording sessions but were open to the use of rating sheets to evaluate CM performance. Finally, participants desired both on-call and regularly scheduled external facilitation to support their continued use of CM. CONCLUSIONS: This study provides an exemplar of a user-informed approach to adapt the SSL implementation support strategies for CM scale-up in community OTPs. Study findings highlight the need for user-informed approaches to training, performance feedback, and facilitation to support sustained CM use in this setting.

Food addiction in a large community sample of Canadian adults: prevalence and relationship with obesity, body composition, quality of life and impulsivity.

BACKGROUND AND AIMS: Parallels between the persistent overconsumption of food and addictive drugs have given rise to the notion of food addiction. In a large community sample of Canadian adults, the current study examined the prevalence of food addiction and its relationship with obesity, quality of life and multiple indicators of impulsivity. A secondary goal was to analyze differences between obese and non-obese individuals with and without food addiction. DESIGN: Cross-sectional in-person assessment. SETTING: Hamilton, Ontario, Canada. PARTICIPANTS: A total of 1432 community adults (age = mean ± standard deviation = 38.93 ± 13.7; 42% male) recruited from the general community using print, bus and internet advertisements. MEASUREMENTS: Yale Food Addiction Scale 2.0, anthropometrics (including body mass index), body composition (e.g. body fat, muscle mass, body water), World Health Organization Quality of Life scale and impulsivity measures, including impulsive personality traits, delay discounting and behavioral inhibition. FINDINGS: The prevalence of food addiction was 9.3% and substantially below that of obesity (32.7%), although food addiction was significantly more common among obese individuals (18.5%, P < 0.001). Food addiction was associated with significantly lower quality of life in all domains (ßs = -0.21 to -0.34, Ps < 0.001) and significantly higher impulsive personality traits, particularly negative and positive urgency (ßs = 0.37 and 0.30, Ps < 0.001). Subgroup contrasts within both the obese and non-obese strata revealed that food addiction was associated with significantly lower quality of life in all domains (Ps < 0.001). Food addiction among non-obese individuals was also associated with higher body mass index (P < 0.001). CONCLUSION: In a general community sample, food addiction was present in slightly fewer than one in 10 individuals, approximately one-third the prevalence of obesity, but with twice the prevalence among obese individuals. Food addiction appears to be associated with substantively lower quality of life and elevations in impulsivity, particularly in deficits in emotional regulation.

Associations between the Brief Assessment of Alcohol Demand (BAAD) questionnaire and alcohol use disorder severity in UK samples of student and community drinkers.

Value based choice and compulsion theories of addiction offer distinct explanations for the persistence of alcohol use despite harms. Choice theory argues that problematic drinkers ascribe such high value to alcohol that costs are outweighed, whereas compulsion theory argues that problematic drinkers discount costs in decision making. The current study evaluated these predictions by testing whether alcohol use disorder (AUD) symptom severity (indexed by the AUDIT) was more strongly associated with the intensity item (maximum alcohol consumption if free, indexing alcohol value) compared to the breakpoint item (maximum expenditure on a single drink, indexing sensitivity to monetary costs) of the Brief Assessment of Alcohol Demand (BAAD) questionnaire, in student (n = 579) and community (n = 120) drinkers. The community sample showed greater AUD than the student sample (p = .004). In both samples, AUD severity correlated with intensity (students, r = 0.63; community, r = 0.47), but not with breakpoint (students, r = -0.01; community, r = 0.12). Similarly, multiple regression analyses indicated that AUD severity was independently associated with intensity (student, ΔR2 < 0.20, p < .001; community, ΔR2 = 0.09, p = .001) but not breakpoint (student, ΔR2 = 0.003, p = .118; community ΔR2 = 0.01, p = .294). There was no difference between samples in the strength of these associations. The value ascribed to alcohol may play a more important role in AUD severity than discounting of alcohol-associated costs (compulsivity), and there is no apparent difference between student and community drinkers in the contribution of these two mechanisms.

Multidimensional elements of impulsivity as shared and unique risk factors for food addiction and alcohol misuse.

Food addiction (FA) and alcohol misuse tend to co-occur, which suggests shared factors in the etiology and persistence of these health behaviors. One shared factor that has been linked to both is impulsivity, a multidimensional construct reflecting multiple facets of self-regulatory capacity. However, co-occurrence also raises issues of possible confounding if both domains are not considered concurrently, and the intersection between FA, alcohol misuse, and impulsivity has not been well characterized empirically. Therefore, the current study examined the intersection of FA, alcohol consequences, and multiple indicators of impulsivity. Participants were emerging adults reporting regular heavy episodic drinking recruited from Hamilton, Ontario (N = 730; ages 19.5-23). Participants completed measures of FA, alcohol problems, impulsive personality traits (i.e., Barratt Impulsiveness Scales, UPPS-P Impulsive Behavior Scales), impulsive choice (i.e., delay discounting), impulsive action (i.e., Go/NoGo task). Findings revealed a significant association between FA and alcohol-related consequences and both shared similar associations with specific impulsive personality traits (Positive and Negative Urgency, Lack of Premeditation, Motor and Attentional Impulsivity). However, alcohol-related consequences were uniquely associated with other impulsive personality traits (Lack of Perseverance, Sensation Seeking, Non-planning impulsivity) and impulsive choice, and FA was uniquely associated with impulsive action. Beyond alcohol-related consequences, FA was associated with additional variance in measures of impulsive personality traits (Positive and Negative Urgency, Lack of Premeditation, Motor Impulsivity, and Attentional Impulsivity) and impulsive action, but not impulsive choice. Overall, the current study reveals several common self-regulatory processes associated with both adverse drinking consequences and FA, and that the risk of inadvertent confounding appears to be limited.

User-centered design of contingency management for implementation in opioid treatment programs: a qualitative study.

BACKGROUND: Contingency management (CM) is one of the only behavioral interventions shown to be effective for the treatment of opioid use disorders when delivered alone and in combination with pharmacotherapy. Despite extensive empirical support, uptake of CM in community settings remains abysmally low. The current study applied user-centered design principles to gather qualitative data on familiarity with CM, current clinical practice, and preferences regarding the implementation of CM in community-based opioid treatment programs. METHODS: Participants were 21 leaders and 22 front-line counselors from 11 community-based opioid treatment programs. Semi-structured interviews were about 45 min long. Transcripts from each interview were coded by independent raters and analyzed using a reflexive team approach. Frequencies of responses were tallied, and queries were run in NVivo to identify exemplar quotes for each code. RESULTS: Results indicated low familiarity with CM, with less than half of the respondents defining CM correctly and over 40% of respondents declining to answer/ did not know. Abstinence was the most commonly recommended CM target, yet over 70% of respondents indicated that urine screens only occurred monthly. Attendance was also a popular recommendation, with respondents suggesting a range of possible indices including counseling, dosing, and/or case management sessions. Regarding the ideal role to administer CM prizes, program directors and supervisors were most commonly recommended, closely followed by front-line counselors. The most commonly suggested strategies to afford CM incentives included soliciting community donations and offering non-financial incentives. CONCLUSIONS: User design principles to understand workflow constraints, target user needs, and simplify the intervention guided this qualitative investigation of CM implementation in opioid treatment programs. Findings highlighted the potential value of flexible, organization-specific definitions of CM attendance and non-financial incentives, as well as active involvement of clinical leaders and supervisors to promote buy in among staff/patients. Respondents were generally optimistic about their ability to fundraise or solicit donations to overcome cost-related barriers of CM. Implications for CM implementation strategies, including the use of targeted leadership coaching focused on sustainability, are explored.

Brief Assessment of Cigarette Demand (BACD): Initial development and correlational results in adults and adolescents.

Developing briefer behavioral economic measures is an important priority to ensure that these measures can be used in a variety of different contexts and to reduce participant burden. We developed and sought to validate a Brief Assessment of Cigarette Demand (BACD). A 17-item Cigarette Purchase Task (CPT) and a 3-item BACD were completed concurrently in 2 community samples of smokers (Study 1, adult smokers [n = 80] with substance use disorders; Study 2, adolescent smokers [n = 81]). Responses on the CPT and BACD were compared on the following demand indices: (a) intensity (the number of cigarettes requested at no cost), (b) Omax (the maximum expenditure on cigarettes in a 24-hr period), and (c) breakpoint (the point at which consumption is totally suppressed/no cigarettes are purchased). Correlations of demand indices with cigarettes per day and nicotine dependence were calculated. Measures of cigarette demand on the CPT and BACD were significantly correlated, albeit at very different magnitudes, for all 3 indices in the adult sample (intensity, r = .86; breakpoint, r = .23; and Omax, r = .43) and for 2 of the indices in the adolescent sample (intensity, r = .97; breakpoint, r = .33). The CPT and BACD relationships with smoking and nicotine dependence were similar for breakpoint and intensity but not for Omax. As initial findings were mixed, additional validation work is recommended to improve psychometric properties before adoption. Valid brief measures of demand could have utility for research and treatment of addictive disorders. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Low Self-Esteem for Physical Appearance Mediates the Effect of Body Mass Index on Smoking Initiation Among Adolescents.

Objective: Adolescence is a period during which youth may begin experimenting with substances. Youth with overweight or obesity may be at increased risk for substance use, including cigarette smoking. Understanding the associations between smoking and excess weight and the pathways associated with increased likelihood for smoking initiation is of particular importance given the increased risk for negative health outcomes associated with each. Methods: Using longitudinal panel data from 1,023 middle school youth (baseline age M = 12.5, 52% female), we tested whether smoking initiation was concurrently and prospectively predicted by self-reported body mass index (BMI) and whether self-esteem for physical appearance (SEPA) mediated the effect of BMI on risk of early initiation. Results: BMI predicted smoking initiation concurrently and prospectively in unadjusted models. In adjusted models, SEPA mediated the effects of BMI on smoking initiation. Bootstrapped mediation results indicated that the positive relationship between BMI and subsequent smoking initiation was significantly mediated by lower SEPA (B =.10, 95% confidence interval [0.01, 0.22]). Conclusions: Adolescents who have overweight or obesity are more likely to feel negatively about their appearance and bodies, and this negative perception may result in experimentation with cigarettes. Cigarettes may be used by youth with overweight or obesity in an effort to manage weight, to cope with low self-esteem or for other reasons. Future research should explore the motives and psychosocial context of smoking initiation among adolescents with overweight/obesity further (e.g., with whom they first try smoking, perceived benefits of smoking).

Smoking outcome expectancies predict smoking during voucher-based treatment for smokers with substance use disorders.

OBJECTIVE: Strong expectations regarding positive effects of smoking may reduce the likelihood of successfully quitting. The Smoking Effects Questionnaire (SEQ) assesses the importance of seven expected positive and negative effects of smoking. SEQ was used to predict responses to contingent monetary rewards for smoking abstinence among smokers with substance use disorders (SUD). METHODS: Smokers (N = 184) in residential (i.e., 24 h/day) treatment for SUD received 19 consecutive days of either contingent vouchers (CV) for smoking abstinence (twice-daily carbon monoxide [CO] readings) or non-contingent vouchers (NV) plus counseling to motivate smoking cessation. Analyses investigated effects of smoking expectancies on days of smoking within-treatment and number of cigarettes/day at 1 month post-treatment. RESULTS: Higher positive expectancies for reduced negative affect, weight control, stimulation and positive social effects from smoking were related to more days of smoking during treatment only for participants in the CV condition. Post-treatment, expecting positive social and stimulating effects from smoking were related to more smoking only among CV participants. In both conditions, negative expectancies were largely unrelated to smoking outcomes. CONCLUSIONS: The moderation of CV by positive smoking expectancies suggests that those who rate positive expectancies as more important may require a complementary treatment or different incentives to reduce smoking. The SEQ was probably unassociated with smoking in NV due to little reduction in smoking behavior. Helping smokers with SUD develop alternative ways to produce positive effects sought from smoking may be important to improve initial smoking outcomes.

Smoking and weight loss among smokers with overweight and obesity in Look AHEAD.

Smoking cessation is associated with increases in body weight, but little is known about the relationship between participation in a weight loss intervention and smoking. OBJECTIVE: To determine whether (a) weight losses at 1 year differ as a function of baseline smoking status (never smoker, current smoker, ex-smoker) and (b) participation in a weight loss intervention affects smoking behavior. METHOD: This analysis addressed these questions using the publicly available database from Look AHEAD, a randomized trial comparing intensive lifestyle intervention (ILI) and diabetes support and education (DSE; control condition) among individuals with overweight/obesity and Type 2 diabetes, and included 4,387 participants who had self-reported smoking and objective weight measures available at baseline and at 1 year. RESULTS: Although participants in ILI lost a significantly greater percentage of weight than those in DSE at 1 year (ILI, M = -8.8%, SD = 6.8; DSE, M = -0.7%, SD = 4.7), there were no differences in weight loss outcomes between never smokers (n = 2,297), ex-smokers (n = 2,115), and current smokers (n = 188) within either condition. Participation in ILI was not associated with compensatory smoking or likelihood of quitting smoking or relapsing. CONCLUSIONS: Smokers in a weight loss intervention had reductions in weight that were comparable to individuals who did not smoke without any evidence of compensatory smoking to manage eating and appetite. Smokers with obesity should be encouraged to pursue weight loss without concerns regarding the impact on smoking behavior. (PsycINFO Database Record

Cognitive risk factors of electronic and combustible cigarette use in adolescents.

INTRODUCTION: Cognitive susceptibility to cigarette smoking has been demonstrated to predict future cigarette initiation in adolescents. Examining this construct prior to tobacco product initiation may provide useful information on the differential risk of individuals initiating cigarette vs. e-cigarette products. Additionally, examining how susceptibility and tobacco product use relate to perceived harm cognitions will increase understanding of risk predisposition among adolescents. METHOD: Data were taken from a longitudinal study of middle school students (n = 1023; age = 12.1, 52.2% female, 72.1% white) in the Northeastern U.S. Likelihood of e-cigarette and cigarette ever-use in high school was examined as a function of a validated index of cigarette smoking susceptibility among tobacco naïve students in middle school. Prospective associations between cognitive susceptibility to smoking and subsequent perceived harm of e-cigarettes (assessed in high school), and cross-sectional associations between concurrent tobacco product ever-use status and perceived harm of e-cigarettes were examined. RESULTS: Adolescents classified as susceptible to cigarette smoking in middle school were more likely to initiate use of cigarettes (OR = 2.53) and e-cigarettes (OR = 1.95) as compared to adolescents classified as non-susceptible; cigarette smoking susceptibility did not differentially predict use of one product over the other. Adolescents endorsing e-cigarette use, reported significantly less perceived harm associated with e-cigarettes vs. cigarettes, while those who endorsed cigarette only or dual use did not. CONCLUSION: Our data indicate that cognitive susceptibility to cigarette smoking may index a broad risk factor for using either cigarettes or e-cigarettes in the future, and is prospectively associated with perceived harm of e-cigarette use. Overall, those who used any tobacco product perceived e-cigarettes as less harmful when compared to abstainers. Individual facets of perceived harm (addiction potential and harm vs. cigarettes) differ between cigarette only users and e-cigarette users and may help to explain the choice to use one product vs. the other. IMPLICATIONS: This is the first study to examine prospective associations between cognitive susceptibility to cigarette smoking, predating tobacco use, and subsequent likelihood of cigarette vs. e-cigarette initiation. This study demonstrates that initiation of either product is elevated among youth who are susceptible to smoking; thus susceptibility to smoking may serve as a useful marker of vulnerability to tobacco product use. Furthermore, this study provides novel information on the relationship between tobacco product onset and specific harm perceptions associated with e-cigarettes versus cigarettes among adolescents.

Effects of varenicline versus transdermal nicotine replacement therapy on cigarette demand on quit day in individuals with substance use disorders.

RATIONALE: Cigarette demand is a behavioral economic measure of the relative value of cigarettes. Decreasing the value of cigarette reinforcement may help with quitting smoking. OBJECTIVES: This study aimed to evaluate the effects of initial use of varenicline (VAR) versus nicotine replacement therapy (NRT) on demand for cigarettes on quit day among smokers with substance use disorders (SUD) and to determine whether reduced demand was associated with subsequent abstinence from smoking at 1 and 3 months. METHODS: Participants (N = 110) were randomized to double-blind, double-placebo conditions: VAR with placebo NRT or NRT with placebo capsules. The cigarette purchase task (CPT) was used to assess demand for cigarettes at baseline and on quit day, following a 1-week medication dose run-up/placebo capsule lead-in and first day use of the patch. RESULTS: Demand for cigarettes decreased from baseline to quit day without significant differences between medications. Reductions in CPT intensity (number of cigarettes that would be smoked if they were free) and CPT breakpoint (lowest price at which no cigarettes would be purchased) predicted greater likelihood of abstaining on quit day. Reduced intensity predicted length of abstinence at 1 and 3 months while reduced breakpoint predicted only 1 month length of abstinence. CONCLUSIONS: Initial therapeutic doses of VAR and NRT resulted in similar reductions in cigarette reinforcement. Larger initial reductions in demand on quit day were associated with early success with abstaining from cigarettes. Behavioral economic approaches may be useful for identifying individuals who benefit less from pharmacotherapy and may need additional treatment resources. TRIAL REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT00756275.