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Introduction Psychiatric and substance use disorders represent barriers to smoking cessation. We sought to identify correlates of psychiatric comorbidity (CM; 2 diagnoses) and multimorbidity (MM; 3+ diagnoses) among smokers attempting to quit and to evaluate whether these conditions predicted neuropsychiatric adverse events (NPSAEs), treatment adherence, or cessation efficacy (CE). Aims and Methods Data were collected from November 2011 to January 2015 across sixteen countries and reflect the psychiatric cohort of the EAGLES trial. Participants were randomly assigned to receive varenicline, bupropion, nicotine replacement therapy, or placebo for 12 weeks and were followed for an additional 12 weeks posttreatment. NPSAE outcomes reflected 16 moderate-to-severe neuropsychiatric symptom categories, and CE outcomes included continuous abstinence at weeks 9–12 and 9–24. Results Of the 4103 participants included, 36.2% were diagnosed with multiple psychiatric conditions (20.9% CM, 15.3% MM). Psychiatric CM and MM were associated with several baseline factors, including male gender, nonwhite race or ethnicity, more previous quit attempts, and more severe mental health symptoms. The incidence of moderate-to-severe NPSAEs was significantly higher (p < .01) in participants with MM (11.9%) than those with CM (5.1%) or primary diagnosis only (4.6%). There were no significant (ps > .05) main effects or interactions with treatment condition for diagnostic grouping on treatment adherence or CE outcomes. Conclusions While having multiple psychiatric diagnoses increased risk of developing moderate-to-severe NPSAEs during a quit attempt, neither CM nor MM were associated with treatment adherence or odds of quitting. These findings reassure providers to advise smokers with multiple stable psychiatric conditions to consider using Food and Drug Administration (FDA)-approved medications when trying to quit. Implications Psychiatric MM may be associated with development of NPSAEs when smokers make a medication-assisted quit attempt, but it does not appear to be differentially associated with medication compliance or efficacy. Prescribing healthcare professionals are encouraged to not only promote use of FDA-approved pharmacotherapies by smokers with complex psychiatric presentations, but also to closely monitor such smokers for neuropsychiatric side effects that may be related to their mental health conditions. NCT # NCT01456936.

Purpose: This study describes the frequency of JUUL e-cigarette (referred to as JUUL) quit attempts and identifies characteristics associated with confidence in quitting and perceived difficulty quitting JUUL. Design: Cross-sectional study from a self-administered online survey. Setting: Two public southern California universities. Participants: A total of 1,001 undergraduate students completed the survey from February to May 2019. Measures: Self-report measures about JUUL included use, history of quit attempts, time to first use, perceived difficulty with cessation/reduction, and confidence in quitting. Analysis: Binary logistic regressions were used to identify demographic and tobacco-related behavioral correlates of JUUL cessation-related perceptions and behaviors. Results: Nearly half of ever-JUUL users (47.8%) reported a JUUL quit attempt. Adjusting for demographic factors and other tobacco product use, shorter time to first JUUL use after waking was associated with lower confidence in quitting JUUL (aOR = 0.02, 0.00-0.13) and greater perceived difficulty in quitting JUUL (aOR = 8.08, 2.15-30.35). Previous JUUL quit attempt history was also associated with greater odds of perceived difficulty quitting JUUL (aOR = 5.97, 1.74-20.53). Conclusions: History of JUUL quit attempts among college students was common. Those who had previously tried quitting were more likely to perceive difficulty with cessation. Time to first JUUL use, a marker of dependence, was linked with greater perceived cessation difficulty and lower confidence in quitting. These findings suggest that there is a need for cessation and relapse prevention support for college student JUUL users.

Use of electronic cigarettes, or e-cigarettes, has increased exponentially in recent years. Mechanisms that might underlie this increase include expectancies and reasons for e-cigarette use. This study was designed to identify and evaluate changes in expectancies and reasons for e-cigarette use among young adults over time and to determine whether such changes were associated with changes in e-cigarette use. Data for these analyses were collected from a sample of 137 young adult e-cigarette users who completed electronic surveys 5 times over a 12-month period. Results yielded five e-cigarette use expectancy and reason factors: Affect-Related Reasons, Social Reasons, Positive Social Expectancies, Positive Internal Expectancies, and Negative Expectancies. Linear mixed models showed that Negative Expectancies significantly increased over time (p = .004), whereas Affect-Related Reasons significantly decreased over time (p = .001). Additional linear mixed models indicated that, whereas both frequency and quantity of e-cigarette use decreased over time, changes in Positive Internal Expectancies were positively associated with changes in frequency of e-cigarette use (p = .032) and changes in Positive Social Expectancies were positively associated with changes in both frequency (p = .007) and quantity (p = .026) of e-cigarette use. These findings suggest that young adults' expectancies and reasons for using e-cigarettes fluctuate over time, and changes in expectancies seem to be longitudinally associated with changes in e-cigarette use. Positive expectancies for e-cigarette use represent targets for clinical, prevention, and intervention efforts. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Recent data regarding growth in concurrent use of nicotine and marijuana have raised concern that reductions in legal restrictions on marijuana use may increase risk for tobacco-related harms. Previous studies have shown cross-sectional links between use of both substances, but less is known about associations over time. The goal of the present study was to test the hypothesis that there is a bidirectional relationship between use of marijuana and use of tobacco products over time, such that increasing use of either substance would predict increasing use of the other. Participants (n = 391, 52% male) were 18–24 year-old Californians who were non-daily cigarette smokers at enrollment and had never been daily smokers. They reported nicotine/tobacco and marijuana use quarterly over 2 years. Longitudinal negative binomial and logistic regression models indicated that each additional timepoint at which participants reported recent marijuana use predicted 9–11% increases in tobacco quantity and frequency. Additionally, each additional timepoint at which cigarette or tobacco use was reported predicted 19–22% greater marijuana frequency. Data suggest that young adults who use marijuana more frequently are likely at risk for greater tobacco exposure, and vice versa. These findings suggest a need for preventive measures that focus on concurrent use of both substances rather than either individually.

Objective: The exclusion criteria of tobacco cessation randomized clinical trials (RCTs) may have unintended consequences on inclusion and cessation disparities. We examined racial/ethnic differences in: a) ex­clusion from a group-based cessation RCT; and b) reasons for exclusion.Design: Quasi-experimental. Inclusion criteria were self-identification as African American/Black, non-Hispanic White, or Hispanic (any race), adults, minimum five cigarettes/day or carbon monoxide reading of ≥ 8 parts per million (ppm), interest in quitting, and spoke/read English. Data were obtained from a parent trial, which is ongo­ing and will be completed in 2019. Analyses for our present study on participant screen­ing and enrollment were conducted in 2018.Main Outcome Measures: Study ineligi­bility, and reasons for exclusion (contra­indications for nicotine patch use, serious mental illness [SMI, eg, bipolar disorder or schizophrenia], alcohol dependence or illicit drug use, current tobacco treatment, attendance barriers [eg, transportation], and other concerns [eg, aggressive, intoxicated, disruptive, visibly ill]).Results: Of 1,206 individuals screened, 36% were ineligible. The most frequent reasons were SMI (28%), alcohol depen­dence or drug use (10%), and attendance barriers (7%). Ineligibility was greater among African Americans (42%) and Hispan­ics (37%), compared with Whites (24%; P

BACKGROUND: Cannabis use and intermittent smoking are becoming increasingly prevalent among young adults. Thus, identifying health consequences of co-occurring use of these substances represents an emerging research priority. PURPOSE/OBJECTIVES: This study evaluated the relationship between tobacco/cannabis co-use and acute symptoms of respiratory illness among young adult intermittent smokers. We hypothesized that tobacco/cannabis co-use would be more strongly associated with respiratory symptoms relative to use of neither or one product. METHODS: This study represents a secondary analysis of a three-year observational study. Non-daily smokers (n=563) aged 18–24 were recruited via social media and completed electronic surveys at baseline and annually for two years, producing three total assessments. Past-two-week use of tobacco and cannabis was measured at each assessment, as was severity of six acute respiratory symptoms. The respiratory measure was dichotomized to indicate presence or absence of symptoms. RESULTS: Tobacco/cannabis co-use decreased from 54.8% at baseline to 43.4% at year two (p

INTRODUCTION: Increasing marijuana use among young adults is a concern due to substantial acute and chronic health risks. More widespread use of marijuana may also lead to increased use of nicotine and tobacco products. California legalized commercial sales of marijuana for recreational use as of January 2018. To our knowledge no studies to date have examined subsequent changes in marijuana use. The goal of this study was to test the hypothesis that marijuana use frequency increased following legalization of recreational sales. We also hypothesized that increased marijuana frequency would predict greater frequency of nicotine/tobacco consumption. METHODS: The study was a secondary analysis of a longitudinal study of tobacco use among non-daily cigarette smokers. Participants were 563 young adults (aged 18–24) enrolled in 2015–16 and followed quarterly for 3 years. RESULTS: A piecewise multilevel regression model indicated that marijuana use frequency did not change over time, including following legalization. More frequent use was associated with younger age and identifying as white (ps

The Abstinence-Related Motivational Engagement (ARME) scale was developed to assess motivation to remain abstinent after a smoking cessation attempt. The ARME demonstrated reliability and validity among a small sample of ex-smokers. This study expands the psychometric evaluation of the ARME and tests the ARME as a predictor of smoking status among a sample of participants quitting smoking. The parent trial tested the efficacy of a self-help smoking cessation intervention (N = 1874), with assessments every 6 months. Internal consistency and factor structure of the ARME was evaluated at each assessment to confirm use of the measure as designed. Discriminant validity was assessed by comparing the ARME to the Situation-specific Abstinence Self-Efficacy (SSE) scale via inter-correlations and prediction of future smoking status. Finally, the trajectories of both the ARME and SSE were compared among continuous abstainers and continuous smokers. A single-factor structure was observed at each assessment. Cronbach’s alphas ranged from 0.88–0.91 for the total sample. Correlations between the ARME and the SSE ranged from 0.38–0.47 (ps ps > 0.05) among abstainers. Among current smokers, the ARME and SSE were independent positive predictors of subsequent abstinence (AORs 1.28–2.29, ps ps

Background and objectives Intermittent, dual use of cigarettes and e-cigarettes is a common pattern among youth and young adults. However, little is known about the validity of self-report measures of nicotine consumption in these populations. The goal of the present study was to examine associations between self-reported frequency of cigarette and e-cigarette use and nicotine levels in hair samples at two assessments 1 year apart. Methods Participants (n = 90; 65% female) were 19- to 25-year-old intermittent cigarette smokers recruited from the community for a longitudinal study of tobacco use. They submitted hair samples via mail, 1 and 2 years after enrollment in the parent study. Results Findings indicated that days of use of both cigarettes and e-cigarettes in the past 30 days independently predicted hair nicotine in the full sample, and when examining only timepoints at which any cigarette use was reported. Timepoints when any e-cigarette use was reported, hair nicotine was positively associated with e-cigarette but not cigarette frequency. Discussion and conclusions Data suggest that self-report measures are valid methods of assessing intermittent use of both cigarettes and e-cigarettes. Findings also suggest that dual users may tend to consume more nicotine and thus be at greater risk for dependence than single product users. Scientific significance These results are among the first to indicate that hair analysis can be used to detect intermittent nicotine exposure via both cigarettes and e-cigarettes. (Am J Addict 2020;29:471-475).

Racial/ethnic disparities in tobacco cessation are such that U.S. minorities have greater difficulty quitting compared to White non-Hispanics. Group differences in distress (i.e., perceived stress and depressive symptoms) may contribute to cessation disparities. The allostasis model of health suggests that the toll of chronic stress experienced by racial/ethnic minorities may lead to dysregulation of the physiological stress system and drug use. Previous research suggests that group cognitive behavioral therapy (CBT) for tobacco cessation addresses distress as a modifiable mechanism and has the potential to reduce/eliminate disparities. The present study is a dualsite randomized controlled trial aimed at evaluating the efficacy of group CBT in eliminating racial/ethnic differences in smoking cessation and distress. The study utilizes a [2 (intervention: group CBT or group general health education [GHE]) × 3 (race/ethnicity: African American/Black, Hispanic, White)] factorial design by randomizing 225 adult smokers from the community. Both interventions provide eight counseling sessions and eight weeks of nicotine patch therapy. Assessments occur at the end-of-therapy, and at 3-, 6-, and 12-months. Generalized longitudinal mixed modeling will be used to test our primary abstinence outcome, biochemically-confirmed 7-day point prevalence abstinence at 12-months. We hypothesize that group CBT will reduce or eliminate racial/ethnic differences in perceived stress, depressive symptoms, and smoking cessation compared to group GHE. We also hypothesize that reductions in physiological distress, assessed by salivary cortisol, will mediate racial/ethnic group differences in smoking cessation, particularly among racial/ethnic minorities. This study has implications for eliminating disparities in psychosocial factors related to tobacco use and cessation. Trial registration: Clinicaltrials.gov NCT02511236 . Registered on July 27, 2015.

OBJECTIVE: Smoking tobacco cigarettes after a cancer diagnosis increases risk for several serious adverse outcomes. Thus, patients can significantly benefit from quitting smoking. Electronic cigarettes are an increasingly popular cessation method. Providers routinely ask about combustible cigarette use, yet little is known about use and communication surrounding e-cigarettes among patients with cancer. This study aims to describe patterns, beliefs, and communication with oncology providers about e-cigarette use of patients with cancer. METHODS: Patients with cancer (N = 121) who currently used e-cigarettes were surveyed in a cross-sectional study about their patterns and reasons for use, beliefs, and perceptions of risk for e-cigarettes, combustible cigarettes, and nicotine replacement therapies. Patient perspectives on provider communication regarding e-cigarettes were also assessed. RESULTS: Most participants identified smoking cessation as the reason for initiating (81%) and continuing (60%) e-cigarette use. However, 51% of patients reported current dual use of combustible cigarettes and e-cigarettes, and most patients reported never having discussed their use of e-cigarettes with their oncology provider (72%). Patients characterized e-cigarettes as less addictive, less expensive, less stigmatizing, and less likely to impact cancer treatment than combustible cigarettes (Ps < .05), and more satisfying, more useful for quitting smoking, and more effective at reducing cancer-related stress than nicotine replacement therapies (Ps < .05). CONCLUSIONS: Patients with cancer who use e-cigarettes have positive attitudes toward these devices and use them to aid in smoking cessation. This study also highlights the need for improved patient-provider communication on the safety and efficacy of e-cigarettes for smoking cessation.

Female smokers with elevated dietary restraint (high restrainers) may smoke more than nonrestrained eaters after a disinhibiting food event. The current study aimed to determine whether high restrainers smoke merely to distract themselves from unplanned eating or whether the weight-control aspects of smoking play a role. Primary aims were to test the effect of restraint status and a food prime on smoking and eating behavior in the presence of an alternative distractor (a computer tablet) and to examine the role of expectancies. Utilizing a between-subject design, female smokers (N = 128) were randomized to receive a milkshake prime (Prime condition) or not (No-Prime). They then received access to tempting foods, cigarettes, and the computer tablet. As expected, higher dietary restraint predicted shorter latency to smoke and craving to smoke but not latency to use the tablet. Additionally, a pattern of proximal expectancy subscales associated with weight/appetite control predicted cigarette consumption. Neither restraint nor expectancies interacted with condition to predict smoking behavior. Findings suggest that dietary restrainers attempt to prevent food consumption by turning to cigarettes, beyond preference for other salient distracting stimuli. Thus, smoking appears to function as more than simply a distractor from eating, and it is also associated with strong beliefs about weight and appetite control. Results offer implications for assessment and intervention among individuals presenting for smoking cessation treatment, particularly young adult women. Specifically, assessment of dietary restraint and expectancies related to weight and appetite aspects of smoking may be important to consider for tailored interventions. (PsycINFO Database Record

Family history of tobacco use and use of e-cigarettes have both been associated with increased tobacco use among young adults. However, to our knowledge, these variables have not been considered simultaneously. This study was designed to evaluate the hypothesis that family history of tobacco use would predict tobacco product use over time among young adult e-cigarette users with limited combustible tobacco use experience. A sample of 124 participants were recruited online from across the United States, completed five surveys over 12 months, and reported use of nicotine and tobacco products over the previous two weeks at each survey. Family history of nicotine and tobacco use was reported at the 6-month assessment, and data were collected in 2017 and 2018. Regression models indicated that family history was associated with likelihood of cigarette use (odds ratio = 1.02 [95% confidence interval = [1.00, 1.04]). Significant interactions between family history and linear (OR = 1.05 [1.01, 1.10]) and quadratic (OR = 0.99 (0.98, 1.00)] time terms indicated that the association between family history and likelihood of combustible product use shifted over time. In both cases, more extensive family histories predicted greater use frequency, and follow-up analyses showed that more extensive family history was associated with greater combustible tobacco product use 3, 6, and 9 months following baseline. Family history of nicotine/tobacco use may promote initiation of tobacco use among e-cigarette users. These results suggest family history of tobacco use may comprise a risk factor for combustible tobacco use within the evolving tobacco product landscape. Keywords: e-Cigarettes, Tobacco, Family history, Young adults

Research on smoking cue reactivity has increasingly focused on attentional processes engaged by smoking-relevant cues and applying models and methods from cognitive psychology and neuroscience to measure and interpret attentional bias (AB) to these cues. This chapter reviews common research paradigms that have been used to examine various components of smoking-related AB, including modified Stroop tasks, visual/dot probe tasks, eye tracking, and direct neural indexes. We also review empirical findings from these tasks and relationships between AB and clinically relevant smoking indexes. Finally, we describe recent attempts to retrain AB as a potential smoking cessation treatment modality, and we discuss methodological challenges to the wider-scale application and unambiguous interpretation of AB findings.

The integration of smoking cessation interventions (SCIs) within the context of lung cancer screening programs is strongly recommended by screening guidelines, and is a requirement for Medicare coverage of screening in the US. In Europe, there are no lung cancer screening guidelines, however, research trials are ongoing, and prominent professional societies have begun to recommend lung cancer screening. Little is known about the types and efficacy of SCIs among patients receiving low-dose computed tomography (LDCT) screening. This review addresses this gap. Based on a systematic search, we identified six empirical studies published prior to July 1, 2015, that met inclusion criteria for our review: English language, SCI for LDCT patients, and reported smoking-related outcomes. Three randomized studies and three single-arm studies were identified. Two randomized controlled trials (RCTs) evaluated self-help SCIs, whereas one pilot RCT evaluated the timing (before or after the LDCT scan) of a combined (counseling and pharmacotherapy) SCI. Among the single-arm trials, two observational studies evaluated the efficacy of combined SCI, and one retrospectively assessed the efficacy of clinician-delivered smoking assessment, advice, and assistance. Given the limited research to date, and particularly the lack of studies reporting results from RCTs, assumptions that SCIs would be effective among this population should be made with caution. Findings from this review suggest that participation in a lung screening trial promotes smoking cessation and may represent a teachable moment to quit smoking. Findings also suggest that providers can take advantage of this potentially teachable moment, and that SCIs have been successfully implemented in screening settings. Continued systematic and methodologically sound research in this area will help improve the knowledge base and implementation of interventions for this population of smokers at risk for chronic disease.

Activity monitors such as the Actical accelerometer, the Sensewear armband, and the Intelligent Device for Energy Expenditure and Activity (IDEEA) are commonly validated against gold standards (e.g., doubly labeled water, or DLW) to determine whether they accurately measure total daily energy expenditure (TEE) or activity energy expenditure (AEE). However, little research has assessed whether these parameters or others (e.g., posture allocation) predict body weight change over time. The aims of this study were to (i) test whether estimated energy expenditure or posture allocation from the devices was associated with weight change during and following a low-calorie diet (LCD) and (ii) compare free-living TEE and AEE predictions from the devices against DLW before weight change. Eighty-seven participants from 2 clinical trials wore 2 of the 3 devices simultaneously for 1 week of a 2-week DLW period. Participants then completed an 8-week LCD and were weighed at the start and end of the LCD and 6 and 12 months after the LCD. More time spent walking at baseline, measured by the IDEEA, significantly predicted greater weight loss during the 8-week LCD. Measures of posture allocation demonstrated medium effect sizes in their relationships with weight change. Bland–Altman analyses indicated that the Sensewear and the IDEEA accurately estimated TEE, and the IDEEA accurately measured AEE. The results suggest that the ability of energy expenditure and posture allocation to predict weight change is limited, and the accuracy of TEE and AEE measurements varies across activity monitoring devices, with multi-sensor monitors demonstrating stronger validity.

There has been an exponential increase in the prevalence of e-cigarette use, particularly among youth. However, adult use is also rising, and there have been relatively few qualitative studies with adult users to understand their reasons for use and future use intentions. Such information is needed to inform both prevention and cessation approaches.Thirty-one e-cigarette users participated in one of several focus groups assessing the appeal of e-cigarettes as well as comparisons to combustible cigarettes and approved smoking cessation aids. We also obtained perspectives on future use intentions and interest in e-cigarette cessation interventions. Verbatim transcripts were analyzed using the constant comparative method.Participants reported several aspects of e-cigarette appeal as compared to approved cessation treatment options. These included similarities to combustible cigarettes, fewer side effects, and control of e-cigarettes to suit personal preferences. Participants were split on whether they preferred flavors that mimicked or contrasted with their combustible cigarettes (i.e., tobacco vs. alternative flavors, such as candy). Some participants who were unmotivated to quit smoking reported an unanticipated disinterest in continuing use of combustible cigarettes shortly after initiating e-cigarettes. Despite strong interest in reducing nicotine dosage, the majority did not intend to fully discontinue e-cigarettes.Understanding e-cigarette users' perspectives can inform policy and treatment development. Regulatory and policy initiatives will need to balance the appealing characteristics of e-cigarettes with the potential for negative public health outcomes.

Despite elevated prevalence of anxiety and depression among women with polycystic ovarian syndrome (PCOS), there is a dearth of evidence-based psychotherapies to treat mood-related symptoms among this population. This case report describes the efficacy of The PCOS Workbook in treating symptoms of anxiety, depression, and problematic eating in a 19-year-old female previously diagnosed with PCOS. Using the cognitive-behavioral framework presented in the workbook, the participant experienced a significant reduction in symptoms of anxiety, depression, problematic eating, and general psychosocial dysfunction while simultaneously losing a significant amount of weight during treatment. Six months after the termination of treatment, the participant maintained several improvements in psychological functioning, although she did report a resumption of problematic eating and experience weight regain. These findings provide initial empirical support for the efficacy of this manualized psychotherapy at improving psychosocial functioning in women with PCOS. Recommendations on ways to best utilize this resource and enhance its long-term efficacy, particularly when intervening for problematic eating, are also discussed.

Cigarette smoking is common among cancer patients and is associated with negative outcomes. Electronic nicotine delivery systems ("e-cigarettes") are rapidly growing in popularity and use, but there is limited information on their safety or effectiveness in helping individuals quit smoking.The authors searched PubMed, Web of Science, and additional sources for published empirical data on safety and use of electronic cigarettes as an aid to quit smoking.We conducted a structured search of the current literature up to and including November 2013.E-cigarettes currently vary widely in their contents and are sometimes inconsistent with labeling. Compared to tobacco cigarettes, available evidence suggests that e-cigarettes are often substantially lower in toxic content, cytotoxicity, associated adverse effects, and secondhand toxicity exposure. Data on the use of e-cigarettes for quitting smoking are suggestive but ultimately inconclusive.Clinicians are advised to be aware that the use of e-cigarettes, especially among cigarette smokers, is growing rapidly. These devices are unregulated, of unknown safety, and of uncertain benefit in quitting smoking.In the absence of further data or regulation, oncologists are advised to discuss the known and unknown safety and efficacy information on e-cigarettes with interested patients and to encourage patients to first try FDA-approved pharmacotherapies for smoking cessation.

Expectancies regarding treatment assignment may influence outcomes in placebo-controlled trials above and beyond actual treatment assignment. For smoking pharmacotherapies, guessing enrollment in the active medication treatment is associated with higher abstinence rates. However, placebo-controlled trials of smoking pharmacotherapies rarely assess perceived treatment assignment and those that do only collect this information after reaching full dosage. To determine the temporal relationship between treatment expectancies and smoking-related variables, we assessed the impact of treatment guess during a placebo-controlled laboratory study of varenicline on measures of craving, smoking reward, and smoking reinforcement. We hypothesized that treatment guess at mid-titration would influence smoking-related measures at full dosage, above and beyond actual medication effects. We also explored factors related to guess stability and differences in blind fidelity between mid-drug titration and full dosage. Eighty-eight participants completed laboratory assessments at baseline, mid-titration, and full dosage that involved self-report and behavioral measures of tonic craving, cue-provoked craving, smoking reward, and smoking reinforcement. Participants guessed treatment assignment at mid-titration and full dosage. Generalized linear models confirmed that, beyond actual treatment assignment, treatment guess improved model fit for both self-report and behavioral smoking-related measures. Further, accuracy of treatment guess improved from titration to full dosage, and specific demographic factors (e.g., gender, race) were associated with type of treatment guess and guess stability across time. These results reinforce the importance of assessing perceived treatment assignment repeatedly during placebo-controlled trials and suggest that treatment expectancies during titration can affect outcomes once full dosage has been reached.

The digital photography of foods method accurately estimates the food intake of adults and children in cafeterias. When using this method, images of food selection and leftovers are quickly captured in the cafeteria. These images are later compared with images of 'standard' portions of food using computer software. The amount of food selected and discarded is estimated based upon this comparison, and the application automatically calculates energy and nutrient intake. In the present review, we describe this method, as well as a related method called the Remote Food Photography Method (RFPM), which relies on smartphones to estimate food intake in near real-time in free-living conditions. When using the RFPM, participants capture images of food selection and leftovers using a smartphone and these images are wirelessly transmitted in near real-time to a server for analysis. Because data are transferred and analysed in near real-time, the RFPM provides a platform for participants to quickly receive feedback about their food intake behaviour and to receive dietary recommendations for achieving weight loss and health promotion goals. The reliability and validity of measuring food intake with the RFPM in adults and children is also reviewed. In sum, the body of research reviewed demonstrates that digital imaging accurately estimates food intake in many environments and it has many advantages over other methods, including reduced participant burden, elimination of the need for participants to estimate portion size, and the incorporation of computer automation to improve the accuracy, efficiency and cost-effectiveness of the method.

Background The emergence of electronic nicotine delivery systems (ENDS, or “e-cigarettes”) has resulted in nicotine and tobacco scientists committing increased resources to studying these products. Despite this surge of research on various topics related to e-cigarettes, it is important to characterize the evolving e-cigarette research landscape as a way to identify important future research directions. The purpose of this review was to broadly categorize published scholarly work on e-cigarettes using a structured, multi-level coding scheme. Methods A systematic literature search was conducted to collect articles on e-cigarettes that were published in peer-reviewed journals from 2006 through 2014. Studies were classified through 3 coding waves. Articles were first divided into research reports, literature reviews and opinions/editorials. Research reports were further categorized to determine the proportion of these studies using human participants. Finally, human studies were classified based on their methodologies: descriptive, predictive, explanatory, and intervention. Results Research reports ( n = 224) and opinions/editorials ( n = 248) were published at similar rates during this time period. All types of articles showed exponential rates of increase in more recent years. 76.4% of human research studies were descriptive in nature, with very little research employing experimental (6.8%) or intervention-based methodologies (5.4%). Conclusions This review reinforces the idea that e-cigarettes are a disruptive technology exerting substantial influence on nicotine and tobacco science. This review also suggests that opinions on e-cigarettes may be outpacing our scientific understanding of these devices. Our findings highlight the need for more e-cigarette research involving experimental, intervention, and longitudinal designs.

Cross-sectional and experimental research has shown that female smokers use cigarettes to manage dietary restraint and body image dissatisfaction. The goal of this study was to investigate the cross-motivational impact of food and cigarettes by comparing attentional bias to smoking images against other images (food and jewelry) and testing how in vivo stimuli (cigarettes, food, and jewelry) affect attentional bias to these images. Thirty-five female smokers completed 3 image-viewing tasks during which they viewed images containing smoking, food, and jewelry pictorial stimuli. During these tasks, participants held smoking, food, or jewelry in vivo stimuli, and eye-tracking technology collected gaze data. We hypothesized that in vivo appetitive stimuli would produce attentional bias, with in vivo smoking stimuli increasing attention to smoking images and in vivo food stimuli increasing attention to smoking and food images. However, in vivo cigarettes and snack foods did not prime attentional biases to pictorial smoking or food stimuli. Yet, initial and maintained attention to smoking images were greater than attention to food and jewelry images when participants were administered an active comparison in vivo stimulus (jewelry). The results in this in vivo condition replicate previous research demonstrating attentional biases for smoking images among smokers, and they extend it by including the appetitive food comparison condition. These results also show that attention allocation changes when smokers encounter appetitive in vivo stimuli. Thus, this study demonstrates that establishing external validity in attentional bias research is challenging, and it encourages further psychometric exploration of such methodologies through other procedural manipulations. (PsycINFO Database Record

Objectives Authorities estimate that 16.7% of adults 18-24 smoke, and many initiate or increase cigarette smoking while in college. Thus, college represents a critical time for intervention. Simmons et al developed and tested an interactive Web-based intervention that includes a component for inducing dissonance through creating video testimonials about the negatives of smoking. Methods We applied thematic analysis to video content to identify smoking's negative consequences as reflected in testimonials from 78 college smokers. We identified common themes and calculated the amount of time spent discussing each theme and the strength of language used. Results Social stigma and health consequences of smoking emerged as multidimensional themes; other common topics included financial burden, chemicals in cigarettes, and cravings/addiction. Conclusions These results provide insight into the attitudes of college student smokers. Addressing these topics may be important for message development in intervention and prevention studies.

There is an increasing need to develop new neuropsychometric tools sensitive enough to detect subtle declines in cognitive performance during normal aging, as well as to distinguish between normal aging and the earliest stages of dementia. In this study, we report our findings regarding a new confrontational naming test, the Memory for Names test. We conducted evaluations utilizing a cohort of 234 elderly participants who comprised a spectrum of cognitive function ranging from normal for age (Uniform Data Set Overall Appraisal = 2, Clinical Dementia Rating = 0) to demented (Clinical Dementia Rating = 1–2, Mini Mental Status Examination Total Score

Introduction Given the rapid increase in e-cigarette use, it is important to understand factors that may contribute to their initiation and maintenance. Because gender differences in tobacco use, product preferences, and expectancies are well established, similar gender differences may exist with e-cigarettes. The aim of this study was to identify gender differences among e-cigarette users in patterns of use, reasons for initiation and maintenance, and outcome expectancies regarding e-cigarettes. Methods Participants (N = 1815) completed an online survey from August through November, 2013. We assessed sociodemographics, smoking and e-cigarette history and use, and expectancies about e-cigarettes. Results We found gender differences in type of e-cigarette used, flavors used, nicotine dosage, source of information about e-cigarettes, place of purchase, and use of e-cigarettes where smoking is prohibited. In addition, males were more likely to report initiating e-cigarette use to quit smoking due to health concerns, whereas females were more likely to report initiation based on recommendations from family and friends. Males reported higher attributions for maintenance of e-cigarette use related to positive reinforcement (enjoyment), whereas females reported higher negative reinforcement attributions (stress reduction or mood management). Males reported more positive expectancies about e-cigarettes, including taste, social facilitation, and energy, whereas women rated e-cigarettes higher for weight control. Males also reported greater addiction-related e-cigarette expectancy than females. Conclusions Many of the gender differences with e-cigarettes parallel those previously found with traditional cigarette smoking. Although effect sizes associated with these differences were small, the results may help advance research and intervention development with respect to e-cigarette initiation, maintenance and cessation.

Introduction: Use of e-cigarettes has been increasing exponentially, with the primary motivation reported as smoking cessation. To understand why smokers choose e-cigarettes as an alternative to cigarettes, as well as to U.S. Food and Drug Administration (FDA)-approved nicotine replacement therapies (NRT), we compared outcome expectancies (beliefs about the results of drug use) for the three nicotine delivery systems among vapers, that is, e-cigarette users, who were former smokers. Methods: Vapers (N = 1,434) completed an online survey assessing 14 expectancy domains, as well as perceived cost and convenience. We focused on comparisons between e-cigarettes and ciga- rettes to determine the attraction of e-cigarettes as a smoking alternative and between e-cigarettes and NRT to determine perceived advantages of e-cigarettes over FDA-approved pharmacotherapy. Results: Participants believed that e-cigarettes, in comparison to conventional cigarettes, had fewer health risks, caused less craving, withdrawal, addiction, and negative physical feelings, tasted bet- ter, and were more satisfying. In contrast, conventional cigarettes were perceived as better than e-cigarettes for reducing negative affect, controlling weight, providing stimulation, and reducing stress. E-cigarettes, compared to NRT, were perceived to be less risky, cost less, cause fewer nega- tive physical feelings, taste better, provide more satisfaction, and be better at reducing craving, negative affect, and stress. Moderator analyses indicated history with ad libitum forms of NRT was associated with less positive NRT expectancies. Conclusions: The degree to which expectancies for e-cigarettes differed from expectancies for either tobacco cigarettes or NRT offers insight into the motivation of e-cigarette users and guid- ance for public health and clinical interventions to encourage smoking-related behavior change.

To quantify the effect of negative affect (NA), when manipulated experimentally, upon smoking as measured within laboratory paradigms. Quantitative meta-analyses tested the effects of NA versus neutral conditions on (1) latency to smoke and (2) number of puffs taken.Twelve experimental studies tested the influence of NA induction, relative to a neutral control condition (n = 1190; range = 24-235). Those providing relevant data contributed to separate random-effects meta-analyses to examine the effects of NA on two primary smoking measures: (1) latency to smoke (nine studies) and (2) number of puffs taken during ad libitum smoking (11 studies). Hedge's g was calculated for all studies through the use of post-NA cue responses relative to post-neutral cue responses. This effect size estimate is similar to Cohen's d, but corrects for small sample size bias.NA reliably decreased latency to smoke (g = -0.14; CI = -0.23 to -0.04; P = 0.007) and increased number of puffs taken (g = 0.14; CI = 0.02 to 0.25; P = 0.02). There was considerable variability across studies for both outcomes (I(2) = 51 and 65% for latency and consumption, respectively). Potential publication bias was indicated for both outcomes, and adjusted effect sizes were smaller and no longer statistically significant.In experimental laboratory studies of smokers, negative affect appears to reduce latency to smoking and increase number of puffs taken, but this could be due to publication bias.

A significant proportion of women who self-quit smoking during pregnancy subsequently relapse to smoking post-partum. This study examined free-text responses describing attributions of smoking relapse or maintained abstinence at 1, 8, and 12 months post-partum. This study reports secondary analyses from a randomized clinical trial (N = 504) for preventing post-partum smoking relapse. At each follow-up, one survey item asked the participant to describe why she resumed smoking or what helped her maintain abstinence. A thematic content analysis was conducted on responses from the 472 participants (94.0 % of the original sample) who returned at least 1 survey. Content analyses revealed several themes for participants’ reasons for relapse and abstinence. Stress was the most frequently cited reason for smoking relapse across all follow-ups. Health concerns for children and family was the most common reason provided for remaining abstinent. Chi square analyses revealed differences in written responses related to income, age, and depressive symptoms. Overall, these findings suggest that during the post-partum period, stress and familial health concerns are perceived contributors to smoking relapse and abstinence, respectively. These results confirmed key risk and protective factors that have been identified through other assessment modalities (e.g., quantitative surveys and focus groups). They also provide support for targeting these variables in the development, content, and delivery of future post-partum smoking relapse-prevention interventions. The high response rate to these open-ended attribution questions suggests that future studies would benefit from including these and similar items to allow for additional insight into participant perspectives.

Two studies are reported; a pilot study to demonstrate feasibility followed by a larger validity study. Study 1’s objective was to test the effect of two ecological momentary assessment (EMA) approaches that varied in intensity on the validity/accuracy of estimating energy intake with the Remote Food Photography Method (RFPM) over six days in free-living conditions. When using the RFPM, Smartphones are used to capture images of food selection and plate waste and to send the images to a server for food intake estimation. Consistent with EMA, prompts are sent to the Smartphones reminding participants to capture food images. During Study 1, energy intake estimated with the RFPM and the gold standard, doubly labeled water (DLW), were compared. Participants were assigned to receive Standard EMA Prompts (n=24) or Customized Prompts (n=16) (the latter received more reminders delivered at personalized meal times). The RFPM differed significantly from DLW at estimating energy intake when Standard (mean±SD = −895±770 kcal/day, p

Food cravings are discrete phenomena involving a strong desire to consume a specific food that is hard to resist. Food cravings are associated with hunger, but food cravings are only alleviated by consumption of a specific type of food, while hunger can be alleviated by eating any number of foods. Food cravings are common and are associated with food intake and body mass, and neuroimaging studies indicate that exposure to imagined or actual craved foods increases activation in brain regions subserving reward, motivation, and memory. A number of self-report inventories with good psychometric properties are available that measure food cravings, including inventories to measure cravings for specific types of foods, such as chocolate and carbohydrates. Although food cravings were once hypothesized to result from food restriction or nutrient deficiencies, there is little empirical support for this etiological model. For example, food restriction during dieting and weight loss decreases food cravings, and more restrictive diets are associated with larger craving decreases. An alternative etiological model with empirical support involves conditioning, where food cravings result from pairing food intake with stimuli such as hunger, emotional states, or environmental stimuli. Randomized controlled trials are warranted to evaluate the efficacy of interventions to manage food cravings, and further research is needed to evaluate changes in food cravings in response to: (1) short- and long-term restriction of specific foods, with and without energy restriction/weight loss and (2) restriction of specific types of foods during diets that vary in intensity/weight loss. Results from such studies will improve our understanding of the etiology of food cravings and provide information on effective methods to manage food cravings.