Electronic cigarette use is associated with depressive symptoms among smokers and former smokers: Cross-sectional and longitudinal findings from the Constances cohort

Relative Efficacy of an Acceptance and Commitment Therapy-Based Smartphone App with a Standard US Clinical Practice Guidelines-Based App for Smoking Cessation in Dual Users of Combustible and Electronic Cigarettes: Secondary Findings from a Randomized Trial

BACKGROUND

While smartphone apps for smoking cessation have shown promise for combustible cigarette smoking cessation, their efficacy in helping dual users of combustible and electronic cigarettes (e-cigarettes) to quit cigarettes remains unknown. This study utilized data from a randomized trial to determine if an Acceptance and Commitment Therapy (ACT)-based app (iCanQuit) was more efficacious than a US Clinical Practice Guidelines-based app (QuitGuide) for combustible cigarette smoking cessation among 575 dual users.

METHODS

The primary cessation outcome was self-reported, complete-case 30-day abstinence from combustible cigarettes at 12 months. Logistic regression assessed the interaction between dual use and treatment arm on the primary outcome in the full trial sample (N = 2,415). We then compared the primary outcome between arms among dual users (iCanQuit: n = 297; QuitGuide: n = 178). Mediation analyses were conducted to explore mechanisms of action of the intervention: acceptance of cues to smoke and app engagement. Results: There was an interaction between dual use of combustible and e-cigarettes and treatment arm on the primary outcome (p = 0.001). Among dual users, 12-month abstinence from cigarettes did not differ between arms (23% for iCanQuit vs. 27% for QuitGuide, p = 0.40). Mediation analysis revealed a significant positive indirect effect of the iCanQuit app on 12-month abstinence from cigarettes through acceptance of emotions that cue smoking (p = 0.004).

CONCLUSIONS

Findings from this study of dual users of combustible and e-cigarettes showed no evidence of a difference in quit rates between arms. Acceptance of emotions that cue smoking is a potential mechanism contributing to cigarette smoking abstinence among dual users.

Emotion Dysregulation and E-Cigarette Expectancies among College Student E-Cigarette Users

Background: E-cigarette outcome expectancies (i.e., beliefs about the expected consequences of e-cigarette use) are a key factor in motivating use. Emotion regulation difficulties have demonstrated significant associations with outcome expectancies; however, there has yet to be an examination of associations between specific emotion regulation difficulties and specific e-cigarette outcome expectancies, which could serve as targets for intervention efforts. Therefore, the current study sought to examine the unique predictive ability of specific emotion regulation difficulties in terms of e-cigarette outcome expectancies. Methods: Participants were 116 college student e-cigarette users (Mage = 19.72, SD = 1.88; 71.6% female) who completed self-report questionnaires for course credit. Results: Greater difficulties engaging in goal-directed behavior when experiencing negative emotions and fewer difficulties accessing effective emotion regulation strategies were associated with positive reinforcement outcome expectancies. Greater emotion regulation difficulties in general were also associated with negative reinforcement outcome expectancies, though there were no significant individual predictors. Conclusion: These results suggest that greater emotion regulation difficulties are associated with mood-related e-cigarette outcome expectancies, and targeting emotion regulation difficulties, particularly difficulty engaging in goal-directed behavior when upset, may be useful to incorporate into intervention efforts.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

Electronic cigarette use and respiratory symptoms in the French population-based Constances cohort

BACKGROUND

Knowledge about the consequences of electronic cigarette (EC) use on respiratory health is still limited. We aimed to assess whether EC use is associated with the occurrence of asthma symptoms and chronic bronchitis among the French adult population, with a specific focus on never combustible cigarettes (CC) smokers. We further investigated whether the association differed in men and women.

METHODS

Constances is a population-based cohort of adults aged 18-69 years at inception. We analyzed baseline data collected in 136,276 participants recruited in 2015-2019. Associations of current and former EC use with respiratory symptoms (asthma symptom score and chronic bronchitis) were assessed, controlling for CC smoking, cannabis use, demographics, education and body mass index (BMI).

RESULTS

Increased frequencies of respiratory symptoms were observed in both current and former EC users (for the asthma symptom score, adjusted mean score ratio (aMSR): 1.34 [95 % confidence interval: 1.28-1.41] and 1.39 [1.33-1.45], respectively; for chronic bronchitis, adjusted prevalence ratio (aPR): 1.27 [1.19-1.36] and 1.40 [1.32-1.48], respectively). Among never CC smokers, ever EC use was associated with an increased asthma symptom score in both men and women (aMSR = 1.44 [1.09-1.90] and 1.36 [1.01-1.83], respectively), and with a higher prevalence of chronic bronchitis only in women (aPR = 1.97 [1.27-3.05]).

CONCLUSION

EC use is associated with symptoms of asthma and chronic bronchitis, independently of CC smoking and cannabis use. The fact that these associations are observed among individuals who have never smoked tobacco adds further evidence of the deleterious effects of EC on respiratory health.

Youth mental health and nicotine vape use: The moderating role of rural-urban/suburban school environments

OBJECTIVE

To understand and compare the association between nicotine vape use and mental health among youth in rural and urban/suburban areas.

METHODS

This cross-sectional study included 146,489 high school students from the 2019-2020 California Student Tobacco Survey. Descriptive statistics were estimated with frequencies and percentages. Separate bivariate associations between each covariate/predictor variable and mental health were examined using linear regression. Multivariate linear regression models were used to examine the association between nicotine vape use and mental health for youth attending school in rural versus suburban/urban communities.

RESULTS

Findings showed that vaping nicotine was associated with poorer overall mental health (b = -0.307, SE = 0.019, p < 0.001), and that this association differed based on rural versus urban/suburban school environments (b = -0.135, SE = 0.046, p = 0.004). Specifically, the relationship between vaping and poor mental health was stronger for youth attending school in rural areas (b = -0.443, SE = 0.042, p < 0.001) than in urban/suburban localities (b = -0.307, SE = 0.019, p < 0.001).

CONCLUSIONS

Although differences in mental health were not shown based on rural versus urban/suburban school environments alone, findings showed that the relationship between nicotine vape use and mental health was stronger for youth attending high school in rural areas. Additional research is needed to understand the underlying social and environmental mechanisms that exacerbate this relationship. Future interventions might consider how to support and improve the mental health of rural nicotine vapers to better achieve health equity across different school environments.

The association of current exclusive e-cigarette use and dual use of e-cigarettes and cigarettes with psychological distress among U.S. adults

This observational study examines the association of current e-cigarette use and dual use of e-cigarettes and cigarettes (dual use) with psychological distress among U.S. adults. We differentiate dual use based on the smoking frequency and compare the relationship between dual use and psychological distress to that of exclusive cigarette smoking with the same smoking frequency. Using data from the 2015-2018 National Health Interview Surveys, we analyzed adults aged 18+ (N = 55,780) who currently use e-cigarettes or/and cigarettes and have no history of using other tobacco products, and adults who never used any tobacco. Multinomial logistic regression models estimate the association of current e-cigarette use and dual use with psychological distress severity (no/mild, moderate, and severe).In the sample, 15.3% and 2.9% of adults experienced moderate and severe psychological distress. Compared to never tobacco users, current exclusive e-cigarette users and dual users who smoke daily had higher odds of moderate and severe psychological distress. Dual users who smoke nondaily had higher odds of moderate, but not severe psychological distress than never tobacco users. Compared to exclusive daily smokers, dual users with daily smoking had higher odds of moderate and severe psychological distress. Compared to exclusive nondaily smokers, dual users with nondaily smoking had higher odds of moderate but not severe psychological distress. Our findings suggest that exclusive e-cigarette use is associated with psychological distress severity. Dual use is associated with higher odds of psychological distress severity compared to never tobacco users and exclusive cigarette smoking, and this association differs by smoking frequency.

Beyond the label: current evidence and future directions for the interrelationship between electronic cigarettes and mental health

Electronic cigarette use has dramatically increased over the last decade. With this recent technological development and wide range of constituents in various products, putative adverse effects on the brain and body have been largely unexplored. Here, we review current evidence linking electronic nicotine cigarette use with potential health consequences and provide evidence supporting an association between drug use and depression in humans. We also examine the biological effects of individual constituents in electronic cigarette aerosols, which include labeled ingredients, such as propylene glycol, vegetable glycerin, nicotine, and flavorants, as well as unlabeled ingredients found in the aerosols, such as carbonyls and heavy metals. Lastly, we examine the effects of electronic cigarette use on endogenous metabolism via changes in cytochrome P450 enzymes, which can thereby impact therapeutic outcomes. While the current evidence offers insight into the potential effects of electronic cigarette use on biological processes, further studies are necessary to determine the long-term clinical relevance of aerosol inhalation.

Electronic cigarette or vaping use among adolescents in the United States: A call for research and legislative action

Vaping among adolescents is increasingly common and may result in poor health outcomes; however, little research has been conducted evaluating the risks of vaping among adolescents and the knowledge and perceptions that drive use. We must gain a better understanding of vaping outcomes and adolescents' perceptions while identifying potential ways to lessen or eradicate the health burdens associated with vaping. This knowledge could then inform robust educational and public health programs to prevent and mitigate vaping among youths. Health education incorporating a target populations' world view, spheres of influence, readiness, motivation, intention, and determination promotes informed decision making. There are few resources currently being allocated to the problem even though legislators and enforcement agencies are aware. We cannot simply rely on existing laws to serve as a sufficient deterrent to prevent underaged usage. Further efforts are needed in the areas of behavioral science, health education, and public policy to tackle this urgent public health concern.

The prevalence of electronic cigarettes vaping globally: a systematic review and meta-analysis

BACKGROUND

The purpose of this systematic review study was to determine the national, regional, and global prevalence of electronic cigarettes (e-cigarettes) vaping.

METHOD

The articles were searched in July 2020 without a time limit in Web of Science (ISI), Scopus, PubMed, and Ovid-MEDLINE. At first, the titles and abstracts of the articles were reviewed, and if they were appropriate, they entered the second stage of screening. In the second stage, the whole articles were reviewed and articles that met the inclusion criteria were selected. In this study, search, selection of studies, qualitative evaluation, and data extraction were performed by two authors independently, and any disagreement between the two authors was reviewed and corrected by a third author.

RESULTS

In this study, the lifetime and current prevalence of e-cigarettes vaping globally were 23% and 11%, respectively. Lifetime and current prevalence of e-cigarettes vaping in women were 16% and 8%, respectively. Also, lifetime and current prevalence of e-cigarettes vaping in men were 22% and 12%, respectively. In this study, the current prevalence of e-cigarettes vaping in who had lifetime smoked conventional cigarette was 39%, and in current smokers was 43%. The lifetime prevalence of e-cigarettes vaping in the Continents of America, Europe, Asia, and Oceania were 24%, 26%, 16%, and 25%, respectively. The current prevalence of e-cigarettes vaping in the Continents of America, Europe, Asia, and Oceania were 10%, 14%, 11%, and 6%, respectively.

CONCLUSIONS

Based on the results of this study, it can be concluded that the popularity of e-cigarettes is increasing globally. Therefore, it is necessary for countries to have more control over the consumption and distribution of e-cigarettes, as well as to formulate the laws prohibiting about the e-cigarettes vaping in public places. There is also a need to design and conduct information campaigns to increase community awareness about e-cigarettes vaping.

Factors affecting tobacco, nicotine, and cannabis product use among California young adults during the COVID-19 pandemic: A qualitative study

The effects of COVID-19 on tobacco use and cannabis has been variable, and it is unclear the extent to which factors affecting changes in tobacco and cannabis use differ. The purpose of this study was to identify the COVID-19-related factors that affect changes in tobacco and cannabis use during the pandemic. Focus groups with 114 young adults in California in April 2021 were held to discuss tobacco and cannabis use patterns, adverse events, and the effect of COVID-19 on tobacco and cannabis product use. Factors affecting changes in use were largely similar between tobacco products and cannabis products. Drivers of increased cannabis use distinct from tobacco or nicotine product use included feeling greater freedom to disengage and perceptions of less harm. Increases in product use were a result of changing social environment, coping with emotional and psychological distress, and product related factors. Decreases in product use were a result of social isolation, COVID-19-related health concerns, disruptions in daily patterns of living, and reduced access. Improved understanding of how the pandemic has affected tobacco and cannabis use can inform tailored interventions to both support those who have decreases or quit and assist those who have increased use during the pandemic to reduce or cease their consumption.

Risk and safety profile of electronic nicotine delivery systems (ENDS): an umbrella review to inform ENDS health communication strategies

OBJECTIVES

This umbrella review aims to summarise the evidence about electronic nicotine delivery systems' (ENDS) risk and safety health profile to inform ENDS health communication strategies.

DATA SOURCES AND STUDY SELECTION

Six databases were searched for systematic reviews presenting evidence on ENDS-related health effects. Ninety reviews divided into five categories were included: toxicity=20, health effects=40, role in smoking cessation=24, role in transition to combustible cigarettes (CCs)=13 and industry marketing claims=4.

DATA EXTRACTION

Findings were synthesised in narrative summaries. Meta-analyses were conducted by study type when appropriate. Quality assessment was conducted using the Measurement Tool to Assess Systematic Reviews. The Institute of Medicine's Levels of Evidence Framework was used to classify the evidence into high-level, moderate, limited-suggestive and limited-not-conclusive.

DATA SYNTHESIS

We found high-level evidence that ENDS exposes users to toxic substances; increases the risk of respiratory disease; leads to nicotine dependence; causes serious injuries due to explosion or poisoning; increases smoking cessation in clinical trials but not in observational studies; increases CC initiation; and exposure to ENDS marketing increases its use/intention to use. Evidence was moderate for ENDS association with mental health and substance use, limited-suggestive for cardiovascular, and limited-not-conclusive for cancer, ear, ocular and oral diseases, and pregnancy outcomes.

CONCLUSIONS

As evidence is accumulating, ENDS communication can focus on high-level evidence on ENDS association with toxicity, nicotine addiction, respiratory disease, ENDS-specific harm (explosion, poisoning) and anti-ENDS industry sentiment. Direct comparison between the harm of CCs and ENDS should be avoided.

PROSPERO REGISTRATION NUMBER

CRD42021241630.

Readability of online e-cigarette cessation information

INTRODUCTION

Given the growing awareness of the health risks associated with e-cigarettes, many users will access information about how to effectively quit using e-cigarettes, and the internet likely will be a popular source of information. However, little is known about the readability of online e-cigarette cessation information. Therefore, the goal of the current study was to assess the readability of webpage information about e-cigarette cessation.

METHODS

A search of webpages was conducted using the following search terms: vaping addiction, quit vaping, quit Juul, stop vaping, stop Juul, and vaping cessation. The 464 webpages identified were coded for target audience, message valence, and source, and then assessed for reading level with the Flesch-Kincaid Grade Level assessment.

RESULTS

On average, webpage content was written at a 7th grade reading level (Flesch-Kincaid Grade Level Mean=7.34, SD=2.22) and less than 25% of webpages met readability guidelines (i.e. ≤6th grade reading level). There were no differences in readability by target audience, message valence, or webpage source.

CONCLUSIONS

The results suggest that most online content related to e-cigarette cessation is not written at a level that is easily understood by general audiences. Thus, tobacco control advocates should assess the reading level of their messaging to ensure wide accessibility of information.

Passive exposure to e-cigarette emissions is associated with worsened mental health

BACKGROUND

Cigarette smoking, secondhand cigarette smoke (SHS) exposure, and e-cigarette use ("vaping") are each associated with increased rates of depressive symptoms and other internalizing mental health disorders. The prevalence of vaping has increased greatly, yet the mental health correlates of secondhand exposure to e-cigarette emissions are as yet to be investigated. This study examined the potential adverse mental health outcomes associated with different tobacco exposures (direct and passive), with a particular focus on the mental health correlates of secondhand exposure to e-cigarette emissions.

METHODS

The Population Assessment of Tobacco and Health Study data collected from a sample of 16,173 Wave 4 adults were used to test the hypothesis that secondhand e-cigarette emissions exposure is associated with increased odds of internalizing mental health disorders. Individuals were categorized as exclusive cigarette smokers, exclusive e-cigarette users, cigarette and e-cigarette dual users, exclusive noncombustible tobacco users, secondhand smoke exposed non-users, secondhand e-cigarette emissions exposed non-users, and non-users with no current SHS/secondhand e-cigarette aerosol exposure. Adjusted weighted logistic regression analysis was used to investigate the association between exposure type and internalizing problems as assessed by scores on the Global Appraisal of Individual Needs-Short Screener (GAIN-SS), a widely used instrument for assessing mental health problems.

RESULTS

Cigarette smokers (AOR = 2.53, 95% CI: 2.19-2.92), e-cigarette users (AOR = 3.14, 2.41-4.09), dual users (AOR = 3.37, 2.85-4.00), noncombustible tobacco users (AOR = 1.48, 1.01-2.17), SHS exposed non-users (AOR = 1.63, 1.37-1.94), and secondhand e-cigarette emissions exposed non-users (AOR = 1.43, 1.03-1.99) were each associated with increased odds of moderate to severe internalizing mental health problems as compared to unexposed non-users. Odds of internalizing problems among SHS and secondhand e-cigarette emissions exposed non-users did not differ (p = 0.46).

CONCLUSIONS

This is the first study, to our knowledge, to identify an association between recent secondhand exposure to e-cigarette emissions and mental health problems, and the risk is comparable to that of SHS. Corroboration of this relationship needs further research to explicate directionality and mechanisms underlying this association.

College Student E-Cigarette Users' Knowledge about E-Cigarettes: Ingredients, Health Risks, Device Modifications, and Information Sources

Although college students represent a growing demographic of e-cigarette users, it is unclear how knowledgeable they are about the product they use. The lack of such knowledge could result in unsafe practices and greater health risks. Therefore, the purpose of the current study was to examine college student e-cigarette users’ knowledge about e-cigarette ingredients and health risks, how often they modify their devices, and whether they utilize reputable sources when searching for information regarding e-cigarettes. The participants were 183 undergraduate e-cigarette users (M_age = 19.98, SD = 1.98; 71.6% female; 85.8% White). Most participants correctly recognized that e-cigarettes increase the risk of cardiovascular disease and lung disease, but fewer than half recognized the increased risk of seizures and depression. Only one-third to one-half of participants correctly identified the toxic compounds commonly found in e-cigarettes, and most indicated that they would consult Google or a friend with questions about e-cigarettes. College student e-cigarette users are well-informed about many health risks associated with e-cigarettes. However, they are relatively unaware of the harmful substances in e-cigarettes and are seeking information from less reliable sources. Targeted public health campaigns educating college students about e-cigarettes, including where to seek reliable information, are needed.

Negative Affect and Cigarette Cessation in Dual Users of Cigarettes and Electronic Nicotine Delivery Systems

Objectives: Dual use of cigarettes and electronic nicotine delivery systems (ENDS) is increasingly common in adult smokers, who often report using ENDS to quit smoking. Elevated negative affect is an established predictor of increased difficulty quitting smoking combustible cigarettes but has not yet been examined in the context of cigarette cessation for dual users. Method: This study examined whether mood-related factors predict cigarette smoking cessation among dual users (N = 364) over 12-months. Self-reported cigarette smoking at 12 months, with abstinence defined as no smoking for the past 7 days, was the primary outcome variable. Logistic regression included baseline levels of depression symptoms (CES-D), anxiety symptoms (MASQ), and negative affect expectancies for smoking, with baseline nicotine dependence for cigarettes (NDSS), motivation to quit, age, race/ethnicity, rate of cigarette smoking at baseline, and ENDS usage at baseline and 12 months as covariates. Interactions between CES-D, MASQ, and negative affect expectancies were examined. We predicted that negative affect, especially for smokers who had high negative affect expectancies for smoking, would be negatively associated with quitting. Results: Contrary to expectations, negative affect constructs did not predict quitting. Baseline nicotine dependence for cigarettes, gender, and race/ethnicity significantly predicted the likelihood of cigarette cessation. Higher rates of ENDS use, higher motivation, and lower negative affect smoking expectancies were significantly correlated with quitting cigarettes. Conclusion: In this non-treatment seeking sample of dual users, negative affect did not predict cigarette cessation over and above nicotine dependence for cigarettes, gender, and race/ethnicity.

Characteristics of electronic cigarette user and traditional smokers: 2017 Youth risk behavior surveillance system

BACKGROUND

Although electronic cigarette (e-cigarette) use among adolescents rapidly has increased over the past decade, which has raised concerns over the corresponding behavioral health risks, the current literature presents limited data for understanding the characteristics of adolescent e-cigarette users.

OBJECTIVE

The purpose of this study was to (1) identify general characteristics that may be shared between e-cigarette users and traditional cigarette smokers and (2) examine the unique characteristics of e-cigarette users vis-à-vis traditional cigarette smokers.

DESIGN

Cross-sectional descriptive study.

SAMPLE AND DATA SOURCE

A total of 14,765 9th- to 12-grade students drawn from the CDC 2017 Youth Risk Behavior Surveillance System.

RESULTS

We observed that the prevalence of marijuana, alcohol, and other illicit drug use was higher among e-cigarette users and traditional tobacco users than non-users. Moreover, physically active adolescents were more likely to use e-cigarettes than those who were physically inactive, although the level of the activity did not predict smoking status.

CONCLUSION

We recommend that primary prevention strategies for e-cigarette use should be incorporated in physical education programs and target adolescents who engage in not only health risk behaviors, but also health promoting behaviors, such as physical activity.

Do the associations between the use of electronic cigarettes and smoking reduction or cessation attempt persist after several years of use? Longitudinal analyses in smokers of the CONSTANCES cohort

INTRODUCTION

We examined whether duration of electronic cigarette (e-cigarette) use could be associated with smoking reduction or cessation attempt.

METHODS

5,409 current smokers at baseline enrolled in the French CONSTANCES cohort in 2015 or 2016 were included. Duration of e-cigarette use was categorized as follows: never; former user for more than one year; former user for less than one year; new user for less than one year; return to use for less than one year; regular use for one to two years; regular use for more than two years. Two outcomes were considered at one-year of follow-up: change in the number of cigarettes per day and cessation attempt.

RESULTS

Compared to never users, former users had an increase in the number of cigarettes per day at follow-up (B = 0.95[95%CI:0.57-1.33] and B = 1.03[95%CI:0.47-1.59] for former users of more than one year and less than one year, respectively). Compared to never users, all categories of current users had a decrease in the number of cigarettes per day (B = -3.31[95%CI:-4.07;-2.54] and B = -4.18[95%CI:-5.06;-3.29] for new users of less than one year and users of more than two years, respectively). Compared to never users, former users had a decreased likelihood of cessation attempt (OR = 0.80[95%CI:0.67-0.95] and OR = 0.77[95%CI:0.60-0.99] for former users of more than one year and less than one year, respectively). Compared to never users, all categories of current users had an increased likelihood of cessation attempt (OR = 3.12[95%CI:2.32;4.19] and OR = 3.36[95%CI:2.39;4.72] for new users of less than one year and users of more than two years, respectively).

CONCLUSIONS

E-cigarette use was associated with smoking reduction and cessation attempt for individuals who have used it for less than one year and additional benefits are expected to occur with a longer duration of use. Former users of e-cigarettes had poorer outcomes than those who have never used them.

The Effect of Cigarette Use and Dual-Use on Depression and Sleep Quality

Background: Recently, the use of cigarettes and e-cigarettes rises among Korean adults. This study examined between-groups differences in depression and sleep quality based on smoking/vaping status. Methods: The groups were classified into non-users, cigarette users, and dual-users according to the present use of cigarettes and e-cigarettes. Data from the 2018 Korean Community Health Survey (KCHS) were used in this study. The participants were 153,646 adults aged > 19cyears. Results: One-way analysis of covariance models showed that dual-users reported significantly higher depression scores (PHQ-9) and significantly lower sleep quality (PSQI-K), respectively, than did cigarette users and non-users. Conclusions: These results imply that dual-use can have a negative impact on mental health. This study supports previous studies on the harmfulness of dual-use and suggests that more studies related to the dual-use of cigarettes should be conducted in the future.

Anxiety Sensitivity and Emotion Dysregulation in Dual and Exclusive E-Cigarette Users

Background: E-cigarette use has increased exponentially over the past decade, particularly among current combustible cigarette users. Preliminary evidence has demonstrated differences across exclusive and dual e-cigarette/combustible cigarette users, such that dual users represent a more clinically severe group. Yet, the extent to which these groups differ on critical transdiagnostic risk factors that may promote and maintain nicotine dependence, such as anxiety sensitivity and emotional dysregulation has yet to be systematically studied. The purpose of the current study was to examine differences between exclusive e-cigarette users and dual e-cigarette and combustible cigarette users in anxiety sensitivity and both global emotion regulation difficulties as well as within specific emotion regulation difficulty domains. Methods: Participants were 192 exclusive e-cigarette users and 315 dual e-cigarette and combustible cigarette users (52.1% female, Mage = 34.8 years, SD = 11.42). Results: Compared to exclusive e-cigarette users, dual users reported higher anxiety sensitivity, overall emotion regulation difficulties, and specific emotion regulation difficulties related to impulse control and lack of access to effective emotion regulation strategies. There were no group differences in emotion regulation difficulties related to emotional clarity, ability to engage in goal-directed behavior when upset, and emotional non-acceptance. Conclusion: The current data suggest that dual users are an at-risk group in terms of emotional processes. Dual users would likely benefit from targeted intervention efforts focused on reducing anxiety sensitivity and improving emotion regulation in order to reduce nicotine consumption and/or promote cessation.

Effects of Negative Emotion on Abstinence Induced Change in Urge to Vape and Measures of Vaping Dependence

INTRODUCTION

Negative emotion and craving to smoke are established factors driving the maintenance of combustible cigarette use and dependence. The current study aimed to examine whether these findings extend to e-cigarette use. Toward that aim, change in vaping urge following abstinence was examined as a function of negative emotion. Additionally, a mediation model which previously demonstrated relationships between negative emotion, craving, and combustible cigarette dependence was tested in e-cigarette users.

METHOD

Daily e-cigarette users (N = 32, M_age = 21 years, SD_age = 7 years; 78% white) completed a battery of psychological, behavioral, and smoking-related measures in a human laboratory setting. Using their personal devices, participants completed a 5-minute ad-libitum vaping session, a baseline measure of vaping urge, followed by a 2-hour observed abstinence period and a final assessment of vaping urge.

RESULTS

Multivariate regression and two mediation models were utilized to examine factors associated with vaping dependence. The results of these models indicated that negative affect predicted vaping urge following observed abstinence. The relationship between negative affect and measures of vaping dependence and habit, respectively, were significantly mediated by changes in urge during the abstinence period.

CONCLUSIONS

These preliminary results indicate that psychological constructs underlying vaping dependence are similar to those previously found to be associated with combustible cigarette dependence. Further research examining whether these constructs, namely negative affect and change in urge following abstinence, will be important variables to target for vaping cessation treatments is needed.

A Comparison of Mental and Behavioral Health Risks Factors Associated With Current Dual Use of Electronic Cigarette and Conventional Tobacco Cigarettes With Exclusive Tobacco Cigarette Use and Nonuse Among Adults in the United States

BACKGROUND AND OBJECTIVES

While health risks associated with tobacco cigarette use are well-known, additional risks of dual use are poorly understood. This study compared mental and behavioral health risk factors associated with the current dual use of e-cigarettes and conventional tobacco cigarettes with current exclusive users of tobacco cigarettes and nonusers of either e-cigarettes or tobacco cigarettes.

METHODS

Data from the 2016 National Behavioral Risk Factor Surveillance System (BRFSS) were analyzed (N = 277,034). Current dual use was defined as the current use of tobacco cigarettes and the use of e-cigarettes, everyday or some days. Multivariate logistic regression analysis was used to assess associations between dual use and mental and behavioral health risks compared with exclusive tobacco cigarette users and nonusers.

RESULTS

Compared with nonusers, current dual use was associated with increased odds of having more than 14 days of self-reported poor physical health (adjusted odd ratio [AOR], 1.9; P < .01), more than 14 days of self-reported poor mental health (AOR, 1.8; P < .01), a diagnosis of depression (AOR, 2.2; P < .001); using smokeless tobacco products (AOR, 1.6; P < .05), alcohol use (AOR, 1.6; P < .01), and marijuana use (AOR, 8.3; P < .001) than current exclusive users of tobacco cigarettes.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

The concurrent use of e-cigarettes and tobacco cigarettes is associated with increased odds of having behavioral and mental health problems. These findings may be indicative of increased health risks associated with dual use, compared with the exclusive use of tobacco cigarettes, and have important implications for public health interventions and policies aimed at mitigating health risk behaviors. (Am J Addict 2020;00:00-00).

Does substance use explain social differences in terms of depression? Findings from the Constances cohort

BACKGROUND

The role of alcohol, tobacco and cannabis use in social differences in terms of depression is poorly understood.

METHOD

We have applied mediation and moderated-mediation models stratified by gender to a population-based sample (N = 37,192) of French men and women from the Constances cohort with baseline and follow-up measures of depressive states. We have examined whether socioeconomic status (SES, measured by education and income) differences in the prevalence of depressive states may be explained by both differences in prevalence of substance use according to SES (mediating effects) and differential effects of substance use on depressive state according to SES (moderating effects).

RESULTS

In the mediation models, substance use only explained 5.3% and 2.4% of the association between low education and depressive state in men and women respectively, and was not a significant mediator for income. Moderated mediation models showed robust moderation effects of education and income in both men and women. The association of tobacco use with depressive symptoms, which was the only substance for which a mediation effect remained and for which the moderation effect of SES was the strongest, was significantly higher in participants with low SES.

LIMITATIONS

The partially cross-sectional nature of the data restricts the possibility of drawing causality with regards to associations between SES and substance use.

CONCLUSION

Targeting substance use, particularly tobacco, can especially reduce depression risk in individuals of low SES.

Use of and perceptions about electronic nicotine delivery systems (ENDS) among people with mental health conditions or serious psychological distress, 2018

BACKGROUND

People with mental health conditions (MHC) experience health disparities related to combustible tobacco use, and recent studies suggest disproportionately high use of electronic nicotine delivery systems (ENDS, e.g., e-cigarettes) among adults with MHC. Continued surveillance of ENDS use by MHC status is needed, as well as in-depth examinations of why adults with versus without MHC are using ENDS.

METHODS

Using 2018 U.S. nationally representative data (N = 5878), this study examined associations between MHC and serious psychological distress (SPD) with ENDS use. Among current ENDS users (n = 544), associations between MHC and SPD with perceived benefits and reasons for using ENDS were also investigated.

RESULTS

Both MHC and SPD were associated with higher likelihood of having ever used ENDS, currently using ENDS, and currently using ENDS daily. There was an interaction between SPD and smoking status in predicting current ENDS use such that the association between SPD and higher current ENDS use was stronger among never smokers. Compared to those without MHC, participants with MHC indicated that using ENDS helped them feel more relaxed and that stress management was a more important reason for ENDS use.

CONCLUSIONS

U.S. adults with MHC (and particularly never smokers with SPD) report disproportionately high use of ENDS. Individuals with MHC may be particularly likely to use ENDS for relaxation and stress management.

The Evolving Landscape of e-Cigarettes: A Systematic Review of Recent Evidence

Smoking continues to be a burden to economies and health-care systems across the world. One proposed solution to the problem has been e-cigarettes; however, because they are a relatively new product in the market, little is known about their potential health impacts. Furthermore, e-cigarettes continue to evolve at a rapid rate, making it necessary to regularly review and summarize available studies. Although e-cigarettes are marketed as a smoking cessation tool by some manufacturers, the reality is that many nonsmokers, including youth, are using them. This review focuses on two major demographic groups (smokers and nonsmokers) and evaluates the most recent data (early 2017 to mid 2019) regarding the potential health effects of e-cigarettes. We assessed peer-reviewed studies on the health impacts of e-cigarettes, with a particular focus on common questions asked by policy makers, clinicians, and scientists: (1) What are the effects of e-cigarettes compared with air/not smoking?; (2) Is there any direct evidence of harm or benefit to humans?; (3) Is there a risk from secondhand exposure?; (4) What are the risks and/or benefits of e-cigarettes compared with tobacco cigarette use?; (5) Are there risks or benefits to specific populations (eg, people with COPD or asthma, pregnant women [and their offspring])?; (6) What are the effects of flavoring chemicals?; (7) What are the effects of including nicotine in e-liquids?; (8) How often is nicotine concentration labeling incorrect?; and (9) What are the risks when e-cigarettes explode?

Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017

IMPORTANCE

The prevalence of the use of electronic cigarettes (e-cigarettes) in the United States has grown rapidly since their introduction to the market more than a decade ago. While several studies have demonstrated an association between combustible cigarette smoking and depression, the association between e-cigarette use and depression has not been thoroughly studied.

OBJECTIVE

To examine the association between e-cigarette use and depression in a nationally representative sample of the adult population in the United States.

DESIGN, SETTING, AND PARTICIPANTS

Cross-sectional study of the Behavioral Risk Factor Surveillance System database, 2016 to 2017. The Behavioral Risk Factor Surveillance System is the largest national telephone-based survey of randomly sampled adults in the United States. A total of 892 394 participants with information on e-cigarette use and depression were included. Data analysis was conducted in May 2019.

EXPOSURES

Electronic cigarette use status defined by self-report as never, former, or current use.

MAIN OUTCOMES AND MEASURES

Self-reported history of a clinical diagnosis of depression.

RESULTS

Of the 892 394 participants (414 326 [29.0%] aged ≥60 years; 502 448 [51.3%] women), there were 28 736 (4.4%) current e-cigarette users, of whom 13 071 (62.1%) were aged between 18 and 39 years. Compared with never e-cigarette users, current e-cigarette users were more likely to be single, male, younger than 40 years, and current combustible cigarette smokers (single, 120 797 [24.3%] vs 10 517 [48.4%]; men, 318 970 [46.6%] vs 14 962 [60.1%]; aged 18-39 years, 129 085 [32.2%] vs 13 071 [62.1%]; current combustible cigarette use, 217 895 [7.9%] vs 8823 [51.8%]). In multivariable adjusted models, former e-cigarette users had 1.60-fold (95% CI, 1.54-1.67) higher odds of reporting a history of clinical diagnosis of depression than never users, whereas current e-cigarette users had 2.10 (95% CI, 1.98-2.23) times higher odds. Additionally, higher odds of reporting depression were observed with increased frequency of use among current e-cigarette users compared with never users (daily use: odds ratio, 2.39; 95% CI, 2.19-2.61; occasional use: odds ratio, 1.96; 95% CI, 1.82-2.10). Similar results were seen in subgroup analyses by sex, race/ethnicity, smoking status, and student status.

CONCLUSIONS AND RELEVANCE

This study found a significant cross-sectional association between e-cigarette use and depression, which highlights the need for prospective studies analyzing the longitudinal risk of depression with e-cigarette use. If confirmed by other study designs, the potential mental health consequences may have regulatory implications for novel tobacco products.