Effects of Vape Use on Oral Health: A Review of the Literature.

Background and Objectives: The widespread use of tobacco has evolved with the popularity of vapes, especially among young people, despite the lack of clarity in warnings about their risks. Studies indicate the need for more effective communication about the oral risks of vaping. In addition to systemic, respiratory, and cardiovascular effects, vaping is associated with an increased risk of gingivitis and periodontal disease as well as reduced antioxidant capacity of saliva. The objectives of this narrative review are to summarize the existing information in the literature on the effects of vaping at the oral level and to bring together knowledge about the mechanism of action of vaping in oral tissues. Materials and Methods: In the present study, articles were searched in PubMed, Elsevier Scopus, and Web of Science using the keywords "oral health", "vaping", and "vape". Studies published in the last 6 years that addressed the effects of oral vaping were selected, including comparisons among vape users, smokers, and non-smokers. Repeated articles, prior to 2017 and in languages other than English, were excluded. Two review authors (A.M.I and M.F.E.M) independently selected the papers based on titles and abstracts and conducted a full review of the remaining papers. In cases of disagreement, a third reviewer was used. Results: A total of 113 results were obtained, distributed as 16 from PubMed, 35 from Web of Science, and 62 from Elsevier Scopus. After removing duplicates, 67 articles were filtered by reviewing titles and abstracts, and finally, 22 articles were selected for comprehensive reading. Subsequently, eight of these articles were chosen for qualitative synthesis and are presented in standardized tables. The sample size of all included studies was composed of 31,647 participants, (14,477 male and 17,170 female) with a mean of 35.016 ± 7.57 years of age. Conclusions: This review indicates that the use of vapes is associated with an increased risk of periodontitis and caries. Although users experience more oral problems than non-smokers, these are less severe than those of traditional smokers. The widespread prevalence, especially among young people, highlights the urgency of awareness campaigns to warn of risks and understand potential harm.

Correlates of using E-cigarettes with high nicotine concentrations among U.S. adults who exclusively vape E-cigarettes or dual use with cigarettes.

BACKGROUND: Identifying the correlates of using e-cigarettes with high nicotine concentrations in exclusive and dual-using vapers can elucidate which subpopulations might be most impacted by e-cigarette regulatory activities related to nicotine concentration. METHODS: Data are drawn from Wave 5 (December 2018-November 2019) of the Population Assessment of Tobacco and Health (PATH) study. Self-reported nicotine concentration was grouped as high (5.0 %+), moderate (1.8-4.9 %), low (0.1-1.7 %), 0 %, and "I don't know." Multivariable logistic regressions estimated associations of sociodemographic factors, tobacco use status, and e-cigarette use patterns of high nicotine concentration vs. other nicotine levels, stratified by current exclusive e-cigarette use and dual use of e-cigarettes and cigarettes. RESULTS: In the study samples (exclusive e-cigarette use [n = 1,755], dual-use [n = 1,200]), higher proportions of exclusive e-cigarette users reported using high nicotine concentrations than dual users (18.3 % vs. 8.6 %). Among exclusive e-cigarette users, never vs. former smokers and daily (vs. someday) e-cigarette users were more likely to use high vs. low nicotine. In both exclusive and dual users, younger (vs. older) adults were more likely to report using high nicotine concentration e-cigarettes than most other nicotine levels. Current dual users who did vs. did not report using e-cigarettes to quit smoking had higher odds of using high vs. 0 % nicotine concentrations. CONCLUSIONS: High-nicotine e-cigarette use might be elevated in subpopulations that face greater risks for vaping (e.g., never smokers, young adults) than groups who benefit from the potential harm reduction. Regulatory restrictions on high-nicotine products may selectively affect some subgroups adversely impacted by vaping.

A four-year longitudinal analysis examining the effects of e-cigarette advertisements and disparities among youth with internalizing problems.

BACKGROUND: Prior research indicates a direct, short-term effect of e-cigarette advertising on e-cigarette use among youth. This study seeks to investigate the long-term effects of e-cigarette advertisements and disparities in exposure among adolescents with different levels of internalizing problems. METHODS: Panel data of the Population Assessment of Tobacco and Health (PATH) Study Waves 3-5 (2015-2019) were analyzed. Youth aged 12-17 who were non-e-cigarette users at the time of Wave 3 were included (n = 4,678). A moderated mediation model was employed to examine the mediating role of perceived harm of e-cigarettes and the moderating effect of internalizing problems. RESULTS: Exposure to e-cigarette advertisements in Wave 3 predicted lower harm perception of e-cigarette in Wave 4 (bp = -0.055, p <.01), leading to more e-cigarette use in Wave 5 (bp = -0.042, p <.001). While e-cigarette advertisements exhibited a lasting indirect effect (bp = 0.002, p <.05), there was no long-term direct effect (bp = 0.017, p >.05) on youth e-cigarette use. Furthermore, a moderating effect of internalizing problems was observed (bp = 0.107, p <.05). CONCLUSIONS: E-cigarette advertisements can exert a lasting influence indirectly by diminishing harm perception, particularly among those with lower internalizing problems. Adolescents with higher internalizing problems exhibit lower susceptibility to advertisement influence, yet their perceived harm of e-cigarettes is notably lower than their peers with fewer internalizing problems. These disparities underscore the need for tailored prevention strategies: implementing anti-e-cigarette education programs for adolescents with low internalizing problems and providing mental health care for those facing internalizing challenges. Regulatory measures targeting e-cigarette advertising are also crucial.

Biomarker Assessment of Nicotine Exposure Among Adolescent E-Cigarette Users: 2018-2019.

BACKGROUND: Despite the increasing prevalence of vaping e-cigarettes among adolescents, there remains a lack of population-level assessments regarding the objective measurement of nicotine exposure. METHODS: This study analyzed a nationally representative sample of adolescents aged 13 to 17 years from Wave 5 of the Population Assessment of Tobacco and Health Study conducted between 2018 and 2019. Urinary nicotine metabolites, including cotinine and trans-3'-hydroxycotinine (3-HC), were assessed among exclusive nonnicotine e-cigarette users (n = 56), exclusive nicotine e-cigarette users (n = 200), and nonusers (n = 1059). We further examined nicotine exposure by past 30-day vaping frequency (ie, occasional [1-5 days], intermittent [6-19 days], and frequent [20+ days]) and flavor types among nicotine e-cigarette users. Multivariable linear regressions tested pairwise group effects, and biomarkers were normalized by the log transformation. RESULTS: Compared with nonusers, both nonnicotine and nicotine e-cigarette users exhibited higher levels of cotinine and 3-HC. Nicotine e-cigarette users had mean cotinine concentrations (61.3; 95% confidence interval, 23.8-158.0, ng/mg creatinine) approximately 146 times higher (P < .0001) than nonusers (0.4; 0.3-0.5), whereas nonnicotine users (4.9; 1.0-23.2) exhibited cotinine concentrations ∼12 times higher (P = .02). Among nicotine e-cigarette users, the levels of cotinine and 3-HC increased by vaping frequency, with cotinine increasing from 10.1 (2.5-40.1) among occasional users to 73.6 (31.8-170.6) among intermittent users and 949.1 (482.5-1866.9) among frequent users. Nicotine exposure was not significantly different by flavor type. CONCLUSIONS: E-cigarette use poses health-related risks resulting from nicotine exposure among adolescents. Comprehensive regulations of e-cigarette products and marketing, vaping prevention, cessation, and public policies are needed to prevent youth from developing nicotine addiction.

Disposable E-Cigarette Use and Subsequent Use Patterns in Adolescents and Young Adults.

BACKGROUND AND OBJECTIVES: Disposable electronic cigarettes (e-cigarettes) are widely used by adolescents and young adults (AYAs). Whether using disposable devices is associated with future e-cigarette use patterns is unknown but important for informing e-cigarette regulation. METHODS: Prospective longitudinal study combining data from adolescent (14-17 years) and young adult (21-24 years) cohorts from Southern California surveyed at baseline and approximately 8-month follow-up during 2021 to 2022. The analyses included AYAs who used e-cigarettes in the past 30 days at baseline and had exposure and outcome data (N = 403; adolescent n = 124, young adult n = 279). RESULTS: In the pooled sample of AYAs who used e-cigarettes at baseline (57.2% cis-gender female, 56.2% Hispanic), 278 (69.0%) reported past 30-day disposable e-cigarette use, and 125 (31.0%) used only nondisposable e-cigarettes. Baseline use of disposable (versus only nondisposable) devices was associated with higher odds of continued e-cigarette use (adjusted odds ratio = 1.92; 95% confidence interval = 1.09-3.42) and a greater number of times used e-cigarettes per day at follow-up (adjusted incidence rate ratio = 1.29; 95% confidence interval = 1.02-1.63). In supplemental analyses, disposable e-cigarette use was associated with greater odds of no changes (versus reductions) in e-cigarette use frequency and puffs per episode from baseline to follow-up but was not associated with increases in use frequency and intensity. No differences in e-cigarette use outcomes were found between those with poly-device (disposable and nondisposable) versus only disposable device use. CONCLUSIONS: Use of disposable e-cigarette devices among AYAs may be associated with higher risks for persistent e-cigarette use patterns, which should be considered in tobacco product regulation designed to protect AYAs.

Trends in Current Electronic Cigarette Use Among Youths by Age, Sex, and Race and Ethnicity.

This cross-sectional study examines prevalence of electronic cigarette use among youths by age, sex, and race and ethnicity from 2013 to 2022.

An ecological examination of early adolescent e-cigarette use: A machine learning approach to understanding a health epidemic.

E-cigarette use among adolescents is a national health epidemic spreading faster than researchers can amass evidence for risk and protective factors and long-term consequences associated with use. New technologies, such as machine learning, may assist prevention programs in identifying at risk youth and potential targets for intervention before adolescents enter developmental periods where e-cigarette use escalates. The present study utilized machine learning algorithms to explore a wide array of individual and socioecological variables in relation to patterns of lifetime e-cigarette use during early adolescence (i.e., exclusive, or with tobacco cigarettes). Extant data was used from 14,346 middle school students (Mage = 12.5, SD = 1.1; 6th and 8th grades) who participated in the Utah Prevention Needs Assessment. Students self-reported their substance use behaviors and related risk and protective factors. Machine learning algorithms examined 112 individual and socioecological factors as potential classifiers of lifetime e-cigarette use outcomes. The elastic net algorithm achieved outstanding classification for lifetime exclusive (AUC = .926) and dual use (AUC = .944) on a validation test set. Six high value classifiers were identified that varied in importance by outcome: Lifetime alcohol or marijuana use, perception of e-cigarette availability and risk, school suspension(s), and perceived risk of smoking marijuana regularly. Specific classifiers were important for lifetime exclusive (parent's attitudes regarding student vaping, best friend[s] tried alcohol or marijuana) and dual use (best friend[s] smoked cigarettes, lifetime inhalant use). Our findings provide specific targets for the adaptation of existing substance use prevention programs to address early adolescent e-cigarette use.

Association between electronic nicotine product use and subsequent first episode psychosis.

Tobacco use has been established as a possible risk factor for psychosis, but the effect of electronic nicotine delivery systems (ex. nicotine vapes) has not been independently established. Using the Population Assessment of Tobacco and Health study, we found that use of electronic nicotine products was significantly associated with later first episode psychosis after controlling for substance use and other confounders, and that this relationship was only significant among the heaviest users (>20 puffs/day). Given the rapid rise in electronic nicotine products use, clinicians and public health professionals should consider potential impacts and closely monitor trends in the coming years.

Longitudinal association between e-cigarette use and respiratory symptoms among US adults: Findings from the Population Assessment of Tobacco and Health Study Waves 4-5.

BACKGROUND: We assessed longitudinal effects of e-cigarette use on respiratory symptoms in a nationally representative sample of US adults by combustible tobacco smoking status. METHODS: We analyzed Waves 4-5 public-use data from the Population Assessment of Tobacco and Health Study. Study sample included adult respondents who reported no diagnosis of respiratory diseases at Wave 4, and completed Waves 4-5 surveys with no missing data on analytic variables (N = 15,291). Outcome was a validated index of functionally important respiratory symptoms based on 7 wheezing/cough questions (range 0-9). An index score of ≥2 was defined as having important respiratory symptoms. Weighted lagged logistic regression models were performed to examine the association between e-cigarette use status at Wave 4 (former/current vs. never use) and important respiratory symptoms at Wave 5 by combustible tobacco smoking status (i.e., never/former/current smokers), adjusting for Wave 4 respiratory symptom index, sociodemographic characteristics, secondhand smoke exposure, body mass index, and chronic disease. RESULTS: Among current combustible tobacco smokers, e-cigarette use was associated with increased odds of reporting important respiratory symptoms (former e-cigarette use: adjusted odds ratio [AOR] = 1.39, 95% confidence interval [CI]: 1.07-1.81; current e-cigarette use: AOR = 1.55, 95% CI: 1.17-2.06). Among former combustible tobacco smokers, former e-cigarette use (AOR = 1.51, 95% CI: 1.06-2.15)-but not current e-cigarette use (AOR = 1.59, 95% CI: 0.91-2.78)-was associated with increased odds of important respiratory symptoms. Among never combustible tobacco smokers, no significant association was detected between e-cigarette use and important respiratory symptoms (former e-cigarette use: AOR = 1.62, 95% CI: 0.76-3.46; current e-cigarette use: AOR = 0.82, 95% CI: 0.27-2.56). CONCLUSIONS: The association between e-cigarette use and respiratory symptoms varied by combustible tobacco smoking status. Current combustible tobacco smokers who use e-cigarettes have an elevated risk of respiratory impairments.

Trends in Harm Perceptions of E-Cigarettes vs Cigarettes Among Adults Who Smoke in England, 2014-2023.

Importance: Electronic cigarettes (e-cigarettes) are less harmful to users than combustible cigarettes. However, public health and media reporting have often overstated the potential risks of e-cigarettes, and inaccurate perceptions of the harms of vaping relative to smoking are pervasive. Objective: To examine time trends in harm perceptions of e-cigarettes compared with combustible cigarettes among adults who smoke. Design, Setting, and Participants: This nationally representative monthly cross-sectional survey study was conducted from November 2014 to June 2023 in England. Participants were adults who currently smoke. Main Outcomes and Measures: Participants were asked whether they thought e-cigarettes were less harmful, equally harmful, or more harmful than cigarettes, or did not know, with the proportion responding less harmful (vs all other responses) as the primary outcome. Logistic regression was used to test associations between survey wave and participants' perceptions of the harms of e-cigarettes. Results: Data were collected from 28 393 adults who smoke (mean [SD] age, 43.5 [17.3] years; 13 253 [46.7%] women). In November 2014, 44.4% (95% CI, 42.0%-46.8%) thought e-cigarettes were less harmful than cigarettes, 30.3% (95% CI, 28.2%-32.6%) thought e-cigarettes were equally harmful, 10.8% (95% CI, 9.4%-12.3%) thought they were more harmful, and 14.5% (95% CI, 12.9%-16.4%) did not know. However, by June 2023, the proportion who thought e-cigarettes were less harmful had decreased by 40% (prevalence ratio, 0.60; 95% CI, 0.55-0.66), and the proportion who thought e-cigarettes were more harmful had more than doubled (prevalence ratio, 2.16; 95% CI, 1.84-2.54). Changes over time were nonlinear: late 2019 saw a sharp decline in the proportion who thought e-cigarettes were less harmful and increases in the proportions who thought they were equally or more harmful. These changes were short-lived, returning to pre-2019 levels by the end of 2020. However, perceptions worsened again from 2021 up to the end of the study period: the proportion who thought e-cigarettes were more harmful increased to a new high, and the proportion who thought e-cigarettes were less harmful decreased to levels comparable to those in late 2019. As a result, in June 2023, the perception that e-cigarettes were equally as harmful as cigarettes was the most commonly held view among adults who smoke (33.7%; 95% CI, 31.4%-36.1%), with roughly similar proportions perceiving e-cigarettes to be less (26.7%; 95% CI, 24.6%-28.9%) and more (23.3%; 95% CI, 21.1%-25.7%) harmful. Conclusions and Relevance: This survey study of adults who smoke in England found that harm perceptions of e-cigarettes have worsened substantially over the last decade, such that most adults who smoked in 2023 believed e-cigarettes to be at least as harmful as cigarettes. The timing of the 2 most notable changes in harm perceptions coincided with the e-cigarette, or vaping product, use-associated lung injury outbreak in 2019 and the recent increase in youth vaping in England since 2021.

Socio-ecological factors that influence youth vaping: perspectives from Western Australian school professionals, parents and young people.

PURPOSE: To understand from the perspectives of school professionals, parents and young people the socio-ecological factors that may facilitate and prevent e-cigarette use among young people in Perth, Western Australia. METHODS: Purposive sampling was used to recruit school professionals, parents and young people for one-on-one (n = 35) or joint (n = 3) interviews (in-person n = 11 or online n = 27). Data were analysed using thematic analysis and classified into four domains based on the socio-ecological model: i) individual, ii) interpersonal, iii) organizational/community and iv) societal/policy. RESULTS: Factors that were found to support vaping among young people included sensation-seeking and risk-taking behaviour; a low-risk perception of vapes; attractive characteristics of vapes; ease of access; perception vaping is a social activity; and lack of knowledge about vaping among parents and school professionals. Vaping prevention messages originating from the familial, educational and community spheres are lacking but wanted by adults and young people. CONCLUSIONS: The pervasiveness of the e-cigarette trade and persistent challenges related to surveillance and enforcement need to be addressed to reduce exposure and access to e-cigarettes. A mixture of "hard" and "soft" public policy tools involving key stakeholders in a range of settings is needed to prevent e-cigarette access and uptake by young people.

Susceptibility to e-cigarette use and associated factors in high school youth, Oklahoma Youth Tobacco Survey, 2021-2022.

Introduction: Susceptibility predicts subsequent uptake of e-cigarettes (EC) by youth. This study identified factors associated with EC susceptibility among high school students who have never used a tobacco/nicotine product. Methods: The Oklahoma Youth Tobacco Survey was administered to a random sample of 36 Oklahoma High Schools during the 2021-2022 school year (n = 1,220 participating students). Associations between EC susceptibility and covariates were identified using stepwise logistic regression for weighted survey data. Results: More than one third of Oklahoma high school students who had never used tobacco or nicotine products (36.4%) were susceptible, and males had higher susceptibility than females (38.8 and 33.9%, respectively). In males, EC susceptibility was associated with race (Black, American Indian, and other were less susceptible), psychological distress (aOR = 2.4, 95% CI = 1.1, 4.8), disagreement that all tobacco products are dangerous (aOR = 3.1, 95% CI = 1.2, 7.9), and perception of little/no harm from secondhand vapor (aOR = 3.4, 95% CI = 2.1, 5.3). In females, identifying as gay, lesbian, or bisexual (aOR = 2.1, 95% CI = 1.1, 3.9), poor academic performance (aOR = 4.5, 95% CI = 1.6, 12.6), psychological distress (aOR = 2.6, 95% CI = 1.2, 5.5) and interacting with EC content on social media (aOR = 5.9, 95% CI = 1.9, 18.1) were associated with EC susceptibility. Conclusion: Males and females had different patterns of susceptibility to EC use. Understanding groups of adolescents most susceptible to using nicotine products can help target prevention efforts at home, in schools, and within communities.

Exploring the prevalence, knowledge, attitudes and influencing factors of e-cigarette use among university students in Palestine: a cross-sectional study.

OBJECTIVES: E-cigarettes have gained popularity, especially among young adults. This study aims to determine the prevalence of e-cigarette smoking, assess knowledge and attitudes and identify associated factors among Palestinian university students. DESIGN: A cross-sectional study. SETTING AND PARTICIPANTS: The study was conducted among Palestinian university students in early 2023.A self-administered questionnaire was used to survey 1792 students from six Palestine universities in the West Bank. The questionnaire covered various aspects, including sociodemographic information, daily habits, exposure to smoking, attitudes and knowledge about e-cigarettes. Data were analysed using descriptive statistics, χ2 tests and multivariate regression analysis. RESULTS: The study revealed a high prevalence of tobacco use (41.2%), with e-cigarette use prevalent among 19.7% of participants. Knowledge about e-cigarettes was suboptimal, with misconceptions regarding their safety and health effects. Negative attitudes towards e-cigarettes were common, and students with negative attitudes were more likely to use e-cigarettes (aOR=2.6, 95% CI: 1.9 to 3.6). Gender (aOR=2.1, 95% CI: 1.4 to 3.0), waterpipe smoking (aOR=4.5, 95% CI: 3.2 to 6.3), physical inactivity (aOR=1.4, 95% CI: 1.1 to 1.9), high coffee consumption (aOR=1.6, 95% CI: 1.1 to 2.3), spending time with friends (aOR=2.4, 95% CI: 1.5 to 3.7), having a mother who is a smoker (aOR=1.5, 95% CI: 1.1 to 2.2) and having a friend who uses e-cigarettes (aOR=1.5, 95% CI: 1.1 to 2.1) were significantly associated with e-cigarettes use. CONCLUSIONS: E-cigarette use is a growing concern among Palestinian university students. Combating this trend should include educational initiatives, social interventions and policy measures to promote informed decision-making and discourage e-cigarette use. Comprehensive tobacco control programs considering various tobacco and nicotine products and involving multiple stakeholders are warranted.

Prevalence, lived experiences and user profiles in e-cigarette use: A mixed methods study among French college students.

BACKGROUND: Little is known about e-cigarette use in French students. Our aims were to estimate the prevalence of e-cigarette experimentation and current e-cigarette use; describe the reasons for using e-cigarettes; explore the vaping experience and identify the profiles of e-cigarette users. METHODS: We used a sequential, explanatory mixed methods design in a sample of French college students. Quantitative data was collected online for a cross-sectional analysis among 1698 students. Two separate analysis based on the thematic analysis and the Grounded Theory were also performed in 20 semi-structured interviews, focusing former and current smokers also current vapers. RESULTS: The prevalence of e-cigarette experimentation was 39.3% (95% CI: 35.2-44.0) and 5.1% (95% CI: 3.2-8.0) of students were current e-cigarette users. Experimentation was opportunistic while current usage was rational, requiring to acquire a personal electronic device, getting used to its technicality, appreciating its availability, discretion, and learning the practice. In this context, three distinct groups of e-cigarette users were identified, based on assumed identity, tobacco and e-cigarette use, the functions assigned to e-cigarettes, and intentions with regards to vaping in the future. CONCLUSION: Despite some limitations mainly related to the participants self-selection, this research showed that while many smokers and former smokers have tried e-cigarettes in this student population, few have continued to use them continuously. Moreover, these current e-cigarette users were a heterogeneous group. Longitudinal studies are needed in young adult smokers for a better understanding of how their tobacco and e-cigarette use affect each other and change over time.

Nicotine use among reservation-area American Indian adolescents compared with a national sample.

BACKGROUND: Past research has found significant nicotine use disparities for reservation-area American Indian adolescents when compared to national levels. However, adolescent nicotine use has changed markedly, with reduced smoking and rapid increases in nicotine vaping. This study presents 2021-2022 prevalence estimates of tobacco product use, perceived harm and availability for reservation-area American Indian youth, with comparisons to the Monitoring the Future (MTF) national study. METHODS: Participants were 8th, 10th and 12th grade students. American Indian data were 33 reservation-area schools in 2021-2022 (n=2420); MTF data were 308 schools in Spring 2022 (n=31,438). Measures were lifetime, 30-day cigarette smoking, smokeless tobacco use, and nicotine vaping; past-year nicotine vaping; daily smoking; perceived harmfulness and availability of these tobacco products. Prevalence and 95% confidence intervals were computed by grade. RESULTS: Estimated prevalence of lifetime, monthly and daily cigarette smoking among American Indian 8th and 10th graders was higher than national levels. Nicotine vaping prevalence was similar between samples. American Indian students were less likely to report tobacco product use poses great risk, but also less likely to report tobacco products are easily available. CONCLUSIONS: Although estimated smoking prevalence among American Indian 8th and 10th graders was higher than national levels, prevalence appears lower than reported in earlier studies, suggesting declining disparities. Prevalence of nicotine vaping among reservation-area American Indian adolescents generally mirrors the national population; however, a lower percentage reported regular nicotine vaping poses a serious risk. This discrepancy suggests a need for prevention and intervention efforts culturally tailored for this population.

E-cigarette use or dual use of E-cigarette and combustible cigarette and mental health and cognitive impairment: Findings from the National Health Interview Survey, 2020-2021.

BACKGROUND: Studies on the association between e-cigarette use and mental health are mostly among adolescents and young adults, leaving limited evidence of this association among general US adults. Besides, few studies have examined how e-cigarette use or dual use of e-cigarette and combustible cigarette is related to cognitive function. METHODS: Cross-sectional data of 56,734 adults from the 2020-2021 National Health Interview Survey were analyzed. Weighted multivariable logistic regression models were applied to examine the independent association between e-cigarette use or dual use and anxiety symptoms, depression symptoms, serious psychological distress (SPD), and cognitive impairment. RESULTS: Compared with never e-cigarette users, current e-cigarette users had 2.10-fold (95 % CI: 1.84, 2.39), 2.53-fold (95 % CI: 2.13, 3.00), 2.02-fold (95 % CI: 1.47, 2.76), and 2.00-fold (95 % CI: 1.47, 2.72) higher odds of reporting anxiety symptoms, depression symptoms, SPD, and cognitive impairment, respectively. Former e-cigarette use was also associated with all three mental conditions and cognitive impairment (AOR ranged from 1.38 to 2.53, all P < 0.01). Dual users were more likely to report all three mental conditions and cognitive impairment than those who never used combustible cigarette and e-cigarette (AOR ranged from 1.89 to 2.83, all P < 0.01). Dual users also had a greater likelihood of having anxiety or depression symptoms than exclusive combustible cigarette users (AOR ranged from 1.46 to 1.47, all P < 0.01). CONCLUSIONS: E-cigarette use or dual use is associated with poor mental health and cognitive impairment among US adults. Regulations on e-cigarette use are needed to prevent mental illness and improve cognitive function.

Associations between e-cigarette use and sleep health among adults in the United States, NHANES 2015-2018.

OBJECTIVE: To examine the associations between e-cigarette use or dual (e-cigarette and combustible cigarette) use and short sleep duration and trouble sleeping among U.S. adults. METHODS: We used 2015-2018 data from the National Health and Nutrition Examination Survey (NHANES) (n = 11,659). E-cigarette use and dual use were categorized as current, former, and never use. Short sleep duration was defined as sleep duration ≤6 h. Trouble sleeping was self-reported. Weighted logistic regression analyses were performed. RESULTS: Among those with current e-cigarette use, 53.9 % were with current dual use and 23.8 % were with former dual use. Compared to never e-cigarette use, current e-cigarette use was associated with significantly higher odds of trouble sleeping (OR = 2.16, 95 % CI: 1.49-3.13), adjusting for potential confounders. Significant associations were also observed for former e-cigarette use versus never use with trouble sleeping (OR = 1.54, 95 % CI: 1.15-2.07) after full adjustment. Current cigarette use was associated with both short sleep duration (OR = 1.65, 95 % CI: 1.28-2.14) and trouble sleeping (OR = 1.36, 95 % CI: 1.03-1.79) after full adjustment. Additionally, the fully adjusted ORs for short sleep duration and trouble sleeping were 1.64 (95 % CI: 1.06-2.54) and 2.14 (95 % CI: 1.34-3.42) among those with current dual use, and 1.46 (95 % CI: 1.17-1.81) and 2.11 (95 % CI: 1.66-2.67) among those with former dual use, compared to those without dual use. CONCLUSIONS: Current cigarette use or dual use is associated with significantly higher odds of short sleep duration and trouble sleeping. Moreover, former e-cigarette use or dual use is associated with increased odds of trouble sleeping.

How do users compare the costs between nicotine vaping products and cigarettes? Findings from the 2016-2020 International Tobacco Control United States surveys.

BACKGROUND AND AIMS: Nicotine vaping products (NVPs) can potentially help adult tobacco users quit smoking. This study evaluated how adult consumers compare the costs between NVPs and cigarettes. METHOD: We used data from the US arm of the 2016-2020 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) surveys to perform a multinomial logit model with two-way fixed effects to measure how perceived cost comparisons are associated with NVP and cigarette taxes, use patterns, NVP device types and individual sociodemographic factors. RESULTS: Higher cigarette taxes are associated with a greater likelihood of perceiving NVPs and cigarettes as costing the same for the overall population and among people who exclusively smoke, and a lower likelihood of perceiving NVPs as more expensive among people who exclusively vape, compared with lower cigarette taxes. Pre-filled cartridge and tank users are more likely to perceive NVPs as less expensive than cigarettes, compared with people who use other types of NVPs. The associations between taxes and perceived cost comparison were more pronounced among males, younger and low-income populations. CONCLUSIONS: Higher cigarette taxes are associated with perceived financial incentives for nicotine vaping products (NVPs) over cigarettes, whereas NVP taxes are not associated with perceived cost comparison between NVPs and cigarettes.