Psychiatric Comorbidity and Multimorbidity in the EAGLES Trial: Descriptive Correlates and Associations With Neuropsychiatric Adverse Events, Treatment Adherence, and Smoking Cessation.

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.

Abstinence-related motivational engagement for smoking cessation: Longitudinal patterns and predictive validity.

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 <0.001) among smokers; and from 0.09-0.15 (most 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 <0.001). For those currently abstinent, only the SSE predicted subsequent abstinence (AORs 1.69-2.60, ps <0.05). GEE analyses showed different trajectories for the two measures, as well as between abstainers and smokers. In conclusion, the ARME is a reliable, valid measure with unique predictive utility for current smokers and a distinct trajectory among those who have successfully quit.

Post-legalization changes in marijuana use in a sample of young California adults.

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 < 0.001, which did not change after legalization. Marijuana frequency was moderated by sex (p < .001), with women reporting increasing and men decreasing use over time. It was also associated with tobacco use, and particularly with e-cigarette use following legalization (ps < 0.05). CONCLUSIONS: Findings suggest legalization of recreational marijuana sales had a negligible overall impact on days of use among young adults, but may have prompted increased interest in marijuana among some, particularly women and e-cigarette users. The continuously evolving landscape around these products indicates that ongoing surveillance is critical.

JUUL E-Cigarette Quit Attempts and Cessation Perceptions in College Student JUUL E-Cigarette Users.

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.

Co-occurring Use of Cannabis and Tobacco and the Presence of Acute Respiratory Symptoms among Young Adult Light and Intermittent Smokers.

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: A secondary analysis of a three-year observational study was conducted. 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 the presence or absence of symptoms. Results: Tobacco/cannabis co-use decreased from 54.8% at baseline to 43.4% at year two (p < .001). Mean respiratory symptoms also declined significantly over time (ps < .05). At each timepoint, co-use was more strongly associated with presence of respiratory symptoms than the use of neither product (aORs = 2.73-4.39, ps ≤ .013). Co-users were also 38%-183% more likely to endorse the presence of respiratory symptoms than single product users at each timepoint (aORs = 1.38-2.83, ps = .023-.212). Conclusions/Importance: Although co-occurring use of tobacco and cannabis by young adults may represent experimental use of multiple substances, it may also promote or exacerbate acute symptoms of respiratory illness. Further exploration with more granular patterns of co-use and across different routes of administration is warranted.

Associations Between Self-Reported and Biological Measures of Nicotine Consumption Among Young Adult Nondaily Cigarette Smokers.

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).

Expectancies and reasons for use of e-cigarettes among young adults: A longitudinal analysis.

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).

The relationship between family history of tobacco use and progression to tobacco use among young adult e-cigarette users.

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.

Reasons for Exclusion from a Smoking Cessation Trial: An Analysis by Race/Ethnicity.

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<.001). Compared with African Americans and Hispanics, Whites were more likely to be excluded for single reasons, including attendance barriers, and medical conditions (P<.05). African Americans were more than twice as likely as Whites to be excluded for 3 or more reasons (12% vs 5% respectively, P<.05). Conclusions: A notable proportion of smokers were ineligible for this RCT, with SMI as the greatest single cause. Racial/ethnic minorities were more likely to be excluded, with African Americans deemed ineligible for multiple reasons. Findings have implications for RCT generalizability, addressing tobacco disparities and health equity.

Electronic cigarette use among patients with cancer: Reasons for use, beliefs, and patient-provider communication.

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.

Reducing racial/ethnic tobacco cessation disparities via cognitive behavioral therapy: Design of a dualsite randomized controlled trial.

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.govNCT02511236. Registered on July 27, 2015.

Smoking by young women with restrained eating following a food prime in the context of an alternative distractor.

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

Documenting the emergence of electronic nicotine delivery systems as a disruptive technology in nicotine and tobacco science.

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.

E-cigarette use in adults: a qualitative study of users' perceptions and future use intentions.

BACKGROUND: 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. METHOD: 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. RESULTS: 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. CONCLUSIONS: 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.

Smoking cessation interventions within the context of Low-Dose Computed Tomography lung cancer screening: A systematic review.

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.

Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure.

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.

Exposure to in vivo stimuli and attentional bias among female smokers.

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

Health, Stigma, and the Burden of Smoking in College: A Thematic Analysis.

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.

Gender differences in use and expectancies of e-cigarettes: Online survey results.

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.

E-cigarettes and expectancies: why do some users keep smoking?

BACKGROUND AND AIMS: Many smokers who have tried electronic cigarettes ('e-cigarettes') continue to smoke, perhaps influenced by their beliefs about the outcomes of using e-cigarettes ('e-cigarette expectancies'). The primary aims of this study were to compare expectancies of dual users to former smokers, and to examine the association between expectancies and intentions to quit or reduce 'vaping' among former smokers. DESIGN AND SETTING: A large cross-sectional online survey of e-cigarette users conducted in the United States. PARTICIPANTS: We surveyed current e-cigarette users (n = 1815), including both current cigarette smokers ('dual users', n = 381) and former smokers (n = 1434). We further subdivided former smokers into those with (n = 686) and without (n = 748) intentions to reduce or quit e-cigarette use. MEASUREMENTS: The primary outcomes were self-reported past-month smoking status and, among former smokers, current intentions to reduce or quit e-cigarette use, both adjusted for potential confounders. E-cigarette expectancy items were derived primarily from a previously validated measure of smoking expectancies. FINDINGS: Dual users reported less positive expectancies than former smokers about e-cigarettes, rating e-cigarettes as more physically irritating (ß = 0.10, P < 0.001) and addictive (ß = 0.06, P = 0.016), as well as less satisfying (ß = -0.11, P < 0.001). Former smokers with intentions to quit e-cigarettes also rated e-cigarettes less positively than former smokers without intentions to quit e-cigarettes, rating them more likely to damage health (ß = 0.16, P < 0.001) and cause addiction (ß = 0.10, P < 0.001), but less likely to taste good (ß = -0.08, P = 0.006). CONCLUSIONS: Positive e-cigarette expectancies among e-cigarette users are associated with a greater likelihood of having quit smoking, but lower likelihood of intention to quit e-cigarette use.