Jessica Yingst

Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users.

INTRODUCTION Electronic cigarettes (e-cigs) are becoming increasingly popular, but little is known about their dependence potential. This study aimed to assess ratings of dependence on electronic cigarettes and retrospectively compare them with rated dependence on tobacco cigarettes among a large sample of ex-smokers who switched to e-cigs. METHODS A total of 3,609 current users of e-cigs who were ex-cigarette smokers completed a 158-item online survey about their e-cig use, including 10 items designed to assess their previous dependence on cigarettes and 10 almost identical items, worded to assess their current dependence on e-cigs (range 0-20). RESULTS Scores on the 10-item Penn State (PS) Cigarette Dependence Index were significantly higher than on the comparable PS Electronic Cigarette Dependence Index (14.5 vs. 8.1, p < .0001). In multivariate analysis, those who had used e-cigs longer had higher e-cig dependence scores, as did those using more advanced e-cigs that were larger than a cigarette and had a manual button. Those using zero nicotine liquid had significantly lower e-cig dependence scores than those using 1-12 mg/ml, who scored significantly lower than those using 13 or greater mg/ml nicotine liquid (p < .003). CONCLUSIONS Current e-cigarette users reported being less dependent on e-cigarettes than they retrospectively reported having been dependent on cigarettes prior to switching. E-cig dependence appears to vary by product characteristics and liquid nicotine concentration, and it may increase over time.

Ten-year weight gain in smokers who quit, smokers who continued smoking and never smokers in the United States, NHANES 2003-2012.

Background/Objectives:Weight gain after quitting smoking is a common concern for smokers and can discourage quit attempts. The purpose of this analysis was to describe the long-term weight gain, smoking cessation attributable (SCA) weight gain and describe their relationship to cigarette consumption and body mass index (BMI) 10 years ago in a contemporary, nationally representative sample of smokers who continued to smoke and those who quit.Subjects/Methods:In all, 12 204 adults ⩾36 years old were selected from the 2003–2012 National Health and Nutrition Examination Survey (NHANES). Ten-year weight gain for never, continuing and former smokers (who quit 1–10 years ago) was calculated by body mass index (BMI) 10 years ago and cigarettes per day (CPD). SCA weight gain was calculated by taking the difference between the adjusted mean 10-year weight gain of former smokers and that of continuing smokers.Results:Mean 10-year weight gain among continuing smokers was 3.5  versus 8.4 kg among former smokers; the SCA weight gain was 4.9 kg. After Bonferroni correction, there was no significant difference in overall weight gain between continuing and former smokers of 1–14 CPD, and SCA weight gain was lowest in this group (2.0 kg, confidence interval (CI): 0.3, 3.7). SCA weight gain was highest for former smokers of ⩾25 CPD (10.3 kg, CI: 7.4, 13.2) and for those who were obese (7.1 kg, CI: 2.9, 11.3) mostly because of lower than average weight gain or weight loss among continuing smokers in these groups.Conclusions:In a current, nationally representative sample, baseline BMI and CPD were important factors that contributed to the magnitude of long-term weight gain following smoking cessation. Light to moderate smokers (<15 CPD) experienced little SCA weight gain, whereas heavy smokers (⩾25 CPD) and those who were obese before quitting experienced the most.

Once bitten, twice shy: concern about gaining weight after smoking cessation and its association with seeking treatment

Concern about weight gain after quitting smoking is often cited as a barrier to smokers making a quit attempt or seeking treatment.

Views of experienced electronic cigarette users

Abstract Background: Awareness and use of electronic cigarettes (e-cigs) has increased significantly in the past five years, but little is known about the experiences, satisfaction, opinions and preferences of e-cigs users. Method: 1177 participants completed an online survey about their electronic cigarette preferences, of which 200 were randomly selected for analysis. The data were analyzed using both qualitative and quantitative methods. Results: Participants found the design, the ability to customize, and the quality of vapour to be the most important characteristics of the device. Participants thought the most positive aspects of e-cig use were help to quit smoking, improved overall health, and reduced cost. The negative aspects associated with its use were mainly related to side effects, such as dry mouth. When asked to explain how e-cigs were used differently than cigarettes, participants reported puffing more regularly, but taking fewer puffs per session. Conclusions: Experienced e-cig users stated that initiating e-cig use helped them to quit or reduce their conventional smoking, which they believe reduced their health risks. In comparison to cigarette smoking, e-cig users reported using their e-cig more times per day, but with fewer puffs at each use time. Users acknowledged that more research is needed to understand the safety and long-term effects of its use. They mentioned dry mouth as a common side effect and common problems with reliability of e-cigs. Understanding these views may help health professionals to assess and assist e-cig users, and in the future, may help regulators to improve quality and reduce risks.

Should electronic cigarette use be covered by clean indoor air laws

Background Some jurisdictions have passed legislation that bans electronic cigarette (e-cig) use (vaping) in public places similarly to smoking. Many other jurisdictions have not yet determined how to regulate vaping in public places. This study examined the proportion of current e-cig users who find their vaping restricted in public places and further evaluated factors associated with the differences between restricted and unrestricted vapers. Methods 3960 experienced exclusive e-cig users completed an online survey from December 2012 to May 2014 about their e-cig use. Restricted vapers were defined as those who reported not being able to vape in places where smoking is typically banned. Unrestricted vapers were defined as those who reported being able vape in places where smoking is typically banned. χ2 and two-sided t-tests were used as appropriate to determine differences between variables of interest. Results Participants were a mean age of 40.3 years, 72.0% male, 91.8% white and 85.1% were from the USA. 26.1% (n=1034) of users reported restricted vaping, while 73.9% (n=2926) reported unrestricted vaping. Restricted vapers used less frequently (p<0.001) and were less dependent compared with unrestricted vapers (p=0.001). Of the restricted vapers, only 12% (n=124) reported finding it difficult to refrain from vaping in places where they were not supposed to. These users were more dependent (p<0.001) and more likely to experience strong cravings (p<0.001), compared with users who did not find it difficult to refrain from vaping. Conclusions This study found that most vapers report unrestricted use of their e-cig. Of the restricted vapers, the majority (88%) do not find it difficult to refrain from vaping in places where they are not supposed to vape.

Reasons for non‐adherence to nicotine patch therapy during the first month of a quit attempt

Prior research has shown that the transdermal nicotine patch is a safe and effective aid to smoking cessation, but adherence to the directed use of the nicotine patch is often low. Few studies have examined participant‐reported reasons for non‐adherence to nicotine patch therapy during a quit attempt.

Changes in resting state functional brain connectivity and withdrawal symptoms are associated with acute electronic cigarette use

Resting state functional brain connectivity (rsFC) may be an important neuromarker of smoking behavior. Prior research has shown, among cigarette smokers, that nicotine administration alters rsFC within frontal and parietal cortices involved in executive control, as well as striatal regions that drive reward processing. These changes in rsFC have been associated with reductions in withdrawal symptom severity. We currently have a limited understanding of how rsFC is affected by the use of electronic cigarettes (ecigs), an increasingly popular class of products, the members of which deliver nicotine with varying effectiveness. The current study used fMRI to determine the effects of ecig use on rsFC and withdrawal symptoms. Independent component, dual regression, and permutation analyses were conducted on rsFC collected from ecig users before and after an ecig use episode (n=9) that occurred after 14h of nicotine abstinence. Similar to the known effects of nicotine administration, ecig use decreased rsFC of two clusters in the right frontal pole and frontal medial cortex with an attentional control salience network, and decreased rsFC of five clusters in the left thalamus, insula, and brain stem with a reward network encompassing the striatum. Ecig use increased inverse coupling between the prefrontal reward network and the right frontoparietal executive control network. Reductions in craving and difficulty with concentration were correlated with decreases in coupling strength between reward and executive control networks. These preliminary results suggest that the effects of ecig use on rsFC are similar to those seen with nicotine administration in other forms. In order to gain insight into the addictive potential of ecigs, further research is needed to understand the neural influence of ecigs across the range of nicotine delivery within this class of products.

E-cigarette users commonly stealth vape in places where e-cigarette use is prohibited.

Introduction ‘Stealth vaping’ is the practice of vaping discreetly in places where electronic cigarette (e-cigarette) use is prohibited. While anecdotal evidence suggests that stealth vaping is common, there have been no formal studies of the behaviour. The purpose of this study is to examine stealth vaping behaviour among experienced e-cigarette users. Methods Data were collected from the follow-up survey of a large longitudinal cohort study of adult experienced e-cigarette users conducted in January 2017. To measure stealth vaping behaviour, participants were asked ‘Have you ever ‘stealth vaped’, that is to say, used an e-cig in a public place where it was not approved and attempted to conceal your e-cig use? (yes/no)’. Participants indicating yes completed additional questions about the frequency of stealth vaping and were asked to select all the locations where they commonly stealth vape. Frequencies were used to examine the overall prevalence, frequency and common locations for stealth vaping. A logistic regression model was run to predict stealth vaping. Results Approximately two-thirds (64.3%, n=297/462) of the sample reported ever stealth vaping, of which 52.5% (n=156/297) reported stealth vaping in the past week. Among stealth vapers (n=297), 31% reported owning a smaller device solely for stealth vaping. The most common places to stealth vape included at work (46.8%), followed by bars/nightclubs (42.1%), restaurants (37.7%), at the movies (35.4%) and in airports/on airplanes (11.7%). Predictors of stealth vaping were greater dependence and owning a smaller device solely for stealth vaping. Conclusions Stealth vaping is a common behaviour for many experienced e-cigarette users. More research is needed to understand the reasons for stealth vaping and its potential health and safety implications. This information could help researchers and regulators to design interventions to minimise the public health impact of stealth vaping.

TXT2STAYQUIT: Pilot Randomized Trial of Brief Automated Smoking Cessation Texting Intervention for Inpatient Smokers Discharged from the Hospital

Hospitalization requires smokers to quit temporarily and offers healthcare professionals an opportunity to provide cessation treatment.1 However, it is important that encouragement continues after the patient has been discharged from the hospital.2 Studies have shown that text messaging interventions for smoking cessation are ef cacious in increasing biochemically con rmed cessation rates at 6-month follow-up.3-5 Utilizing technology such as automated voice calls postdischarge has been shown to increase smoking cessation rates; however, text messaging has not been applied to this population.6 This randomized controlled trial of automated smoking cessation support at discharge, coupled with brief advice among hospital inpatients, aimed to assess whether text messaging is a feasible method for providing smoking cessation support and monitoring smoking status postdischarge.

Acceptability of SPECTRUM Research Cigarettes among Participants in Trials of Reduced Nicotine Content Cigarettes

Objectives SPECTRUM research cigarettes (SPECTRUMs) are being used in trials evaluating the effects of switching to reduced nicotine content (RNC) cigarettes. Because smokers have a high brand affinity, we evaluated if they were willing to switch and continue smoking normal nicotine content (NNC) SPECTRUMs. Methods We asked smokers (N = 341) to rate their own brand of cigarettes and NNC SPECTRUMs (after 2 weeks of use) using subjective measures including satisfaction, reward, taste, and craving reduction. We measured plasma cotinine, exhaled carbon monoxide (CO), and cigarettes per day (CPD), and recorded reasons for dropping out. Results After 2 weeks, 95% of participants chose to continue using SPECTRUMs for an additional 18 weeks. Moreover, 67% said SPECTRUMs were as good as or better than their own brand, and 65% said they would consider purchasing them. Ratings of satisfaction, reward, and craving reduction were 10%-15% lower on SPECTRUMs than on their own brand (p < .01). There were no differences in these ratings between menthol and non-menthol smokers. Conclusions Menthol and non-menthol SPECTRUMs are acceptable to smokers. Lower SPECTRUM ratings were likely due to brand switching and did not hinder study retention.