E-cigarette Users Research Articles

Differences in Attentional Bias Toward e-Cigarette Cues Between e-Cigarette Users and Nonusers.

The use of electronic nicotine delivery systems (ENDS) has increased rapidly in recent years, particularly among young adults. There is a dearth of research on the cognitive factors that contribute to ENDS use. One of the possible cognitive mechanisms involved with addictive behavior is attentional bias (AB). AB can manifest as either facilitated attention engagement toward or delayed attention disengagement from a relevant stimulus. The purpose of this study was to examine the difference in AB toward ENDS-related cues between ENDS users and non-ENDS users. ENDS users (n = 29) and nonusers (n = 24) between the ages of 18 and 29 years participated in the dot-probe and eye-tracking picture-viewing tasks. The results showed that there was a significant difference in the variance of AB between the two groups. In the eye-tracking task, ENDS users displayed significantly greater net dwell time and fixation time at time frames of 6-9, 9-12, and 12-15 seconds, compared to nonusers. It is noteworthy that ENDS users exhibited attentional fluctuation toward ENDS cues as well as difficulties disengaging attention from ENDS cues. The current findings offer insight into the nature of attentional processes associated with ENDS cues and provide useful data to guide the development of a nurse-led cognitive intervention focusing on biased attentional processing related to ENDS cues.

Tobacco and Nicotine Product Use Transitions by Race and Ethnicity: Results from a Latent Transition Analysis Using Data from the Truth Longitudinal Cohort (2020–2022)

Objective To examine use and frequency patterns across e-cigarettes, cigarettes, and little cigars, cigars, and cigarillos (LCCs) over time and determine whether patterns differ by race and ethnicity. Methods Data was obtained from the Truth Longitudinal Cohort of youth and young adults between September 2020 and June 2022. Latent class and transition analyses were used to classify participants (N = 4448) into subgroups, based on frequency of tobacco product use in the past 30 days, and to estimate the probability of use pattern transitions by race and ethnicity, adjusted for the effects of gender, financial situation, parental education, household tobacco use, and sensation seeking. Results Four latent classes were identified: former/noncurrent users, predominantly frequent to daily (FTD) e-cigarette users, predominantly FTD e-cigarette and LCC users, and predominantly FTD cigarette with polytobacco users. Use trajectories differed by race and ethnicity. A lower proportion of those who identified as non-Hispanic Black (60.0%) remained e-cigarette and LCC users, relative to those who identified as non-Hispanic White (86.0%), Hispanic or Latino (86.0%), and another race and ethnicity (79.0%). A lower proportion of those who identified as Hispanic or Latino (54.0%) and another race and ethnicity (59.9%) remained cigarette with polytobacco users, relative to those who identified as non-Hispanic White (76.0%) and non-Hispanic Black (72.0%). A greater proportion of non-Hispanic Black respondents transitioned from e-cigarette and LCC user to former/noncurrent user (40.0%) and polytobacco user to e-cigarette and LCC user (11.0%), relative to other racial/ethnic groups. Conclusion More research is needed to determine why tobacco use trajectories differ by race and ethnicity. Such research will be important in informing comprehensive approaches that promote evidence-based prevention policies and programs.

Determinants of Electric Cigarette (Vape) Use by Adolescents In Indonesia

Vaping is a form of changing conventional cigarettes into electronic cigarettes. Since 2014, the distribution of e-cigarettes throughout the world has become a trend and has reached various groups of consumers. In Indonesia, e-cigarette users continue to increase every year. GATS (Global Adult Tobacco Survey) findings in 2021 submitted by the Ministry of Health of the Republic of Indonesia found that there was an increase in the prevalence of e-cigarette users up to 10 times compared to the last survey in 2011, from 0.3% to 3% including in the world is increasing, especially in teenagers. This research aims to determine the determinants of electronic cigarette (vape) use among teenagers in Indonesia. This research uses a systematic literature study through searches using the Google Scholar site. The inclusion criteria are the article has been published in a journal, explains the factors of electronic cigarette/vape use among teenagers and the article can be downloaded while the exclusion criteria is the article only form an abstract. Based on these criteria, 13 articles were obtained. As a result, several factors influence the use of electronic cigarettes (vape) among teenagers in Indonesia. These factors include knowledge, perception of e-cigarettes, support from friends and family, cigarette information/advertisement, ease of access to e-cigarettes, price of e-cigarettes, and lifestyle influencing adolescent behavior in using e-cigarettes (vape). There needs to be a policy from the government to regulate the use of e-cigarettes in Indonesia.

Assessing the Dependence and Perceptions of the Harm and Addictiveness of Electronic Cigarettes among Saudi University Students: A Cross-Sectional Study.

(1) Background: The rising prevalence of e-cigarette use among university students necessitates a comprehensive understanding of dependence levels and associated factors. This study investigates e-cigarette dependence among Jazan University students in Saudi Arabia. (2) Methods: With the use of a cross-sectional design, data were collected from 1187 students through an online survey from January to April 2024. Dependence levels were assessed using the Penn State Electronic Cigarette Dependence Index (PS-ECDI), and the Arabic version of the questionnaire was validated through pilot testing. Multivariable logistic regression analysis was employed to identify factors associated with e-cigarette dependence. (3) Results: The results indicated that among current e-cigarette users, 37.4% had low dependence, 34.4% had medium dependence, and 13.8% had high dependence. A significant proportion of current and ever users regarded e-cigarettes to be less harmful (50.6% and 44.4%, respectively) and less addictive (37.9% and 32.3%, respectively) than cigarettes. Significant factors influencing dependence included gender, with males showing higher odds of medium (AOR = 12.8, 95% CI: 3.4-47.6) and low dependence (AOR = 9.7, 95% CI: 2.5-37.3) compared to females. Longer duration of e-cigarette use (>2 years) was strongly associated with high dependence (AOR = 50, 95% CI: 7.7-324). Daily use and multiple quit attempts were also significant predictors of higher dependence levels. (4) Conclusions: These findings highlight the substantial e-cigarette dependence among university students and underscore the need for targeted interventions to address this growing public health concern.

Quitting intentions and behaviours among young Australian e-cigarette users.

With the prevalence of e-cigarette use among Australian youth increasing significantly in recent years, greater attention is being paid to encouraging and supporting cessation. However, research to inform such efforts is lacking. The present study sought to (i) measure desire to quit e-cigarette use and actual quitting attempts among young Australians and (ii) explore correlates of quitting-related cognitions and behaviours. This was a cross-sectional on-line survey conducted in Australia. The participants were 14-25-year-old e-cigarette users (n = 602; 53% women). Desire to quit vaping and attempts to quit vaping were the primary dependent variables. The independent variables included several individual (e.g. harm perceptions, perceived appeal of vapes), social (descriptive norms) and environmental (e.g. ease of e-cigarette access) factors. A majority of respondents (61%) expressed a desire to quit vaping, and just over half (55%) had made a quit attempt. Finding vapes easy to access was associated with both a lack of desire [odds ratio (OR) = 0.71] and attempts to quit (OR = 0.77), while self-reported addiction to vaping (OR = 1.42 and OR =3.11) and perceiving vaping to be associated with mental health risks (OR =1.30 and OR =1.40) were positively correlated with these variables. Perceiving that vaping is common among people of one's age (OR = 0.82) and finding vapes appealing (OR = 0.55) were associated with a lack of desire to quit, while perceiving vaping to have physical health risks was positively associated with quitting desire (OR = 1.58). School-based education on vaping was associated with reporting an attempt/s to quit (OR = 0.47). This survey of young Australian e-cigarette users suggests a high level of desire to quit using e-cigarettes and attempts to quit. Increasing knowledge regarding the physical and mental health risks associated with e-cigarette use may assist with promoting quitting-related intentions. Changing social norms, reducing the accessibility of e-cigarettes and reducing the appeal of the products also constitute potential means of increasing the desire to quit.

Cannabis and vaping nicotine: An exploration of risk factors using a nationally representative sample of youth and young adults

BackgroundGiven that cannabis and e-cigarettes are among the most commonly used substances among young people, there is a need to identify risk factors for concurrent cannabis consumption and nicotine vaping among youth and young adults. MethodsData were obtained from the Truth Longitudinal Cohort, collected from September 2020 to March 2021, among a cohort aged 15–24 years (N = 6379). Chi-square tests were conducted to detect differences in sample characteristics by dual use status (never e-cigarette and never cannabis users, never cannabis and former/noncurrent e-cigarette users, never e-cigarette and former/noncurrent cannabis users, former/noncurrent e-cigarette and cannabis users, current e-cigarette only users, current cannabis only users, and concurrent cannabis and e-cigarette dual users). Multinomial logistic regression was used to determine key demographic variables predicting dual use status. ResultsHousehold tobacco use (Relative Risk Ratio, RRR = 4.93), higher sensation seeking (RRR = 3.98), and mental health score (RRR = 2.58) were associated with higher risk of dual use. Being 15–17 years (RRR = 0.22), being female (RRR = 0.59) and having parents with an education level of some college or more (RRR = 0.64) were associated with lower risk of dual use. ConclusionFindings suggest the need to carefully monitor cannabis and vaping nicotine among young people. The identification of risk factors provides additional guidance for prevention and treatment efforts, suggesting the need to address use of both substances and target those most at risk.

Respiratory Symptoms among Adolescents in Poland: A Study on Cigarette Smokers, E-Cigarette Users, and Dual Users.

In recent years, the prevalence of tobacco and electronic cigarette (e-cigarette) use among adolescents has raised significant public health concerns worldwide. This study aimed to investigate respiratory symptoms among Polish adolescents. We conducted an online survey among Polish school students from all provinces, collecting data over two months in spring 2021. Students voluntarily complete the anonymous survey, answering questions about respiratory symptoms, smoking habits (both traditional and electronic cigarettes), and demographic information. The analysis focused on four subgroups, namely non-tobacco users, traditional cigarette smokers, e-cigarette users, and dual users, totaling 10,388 pupils aged 12-18 years, predominantly attending secondary technical and comprehensive schools. A total of 10,388 pupils participated in the study, 55.6% (5778) of whom were girls and 44.4% (4610) boys. Adolescents who admitted using both e-cigarettes and traditional cigarettes experienced more frequent episodes of cough during the day (39.70%) and at night (18.40%) compared to their peers in other groups. Chest discomfort, including pain and pressure, was also reported more often by adolescents who used e-cigarettes and traditional cigarettes concurrently (27.60%) compared to their peers in other groups. Chest pressure was experienced less commonly by non-smoking adolescents (14.40%) than by smokers (18.90%). Higher severity of cough during the day and at night was observed in the group of adolescents using traditional cigarettes and e-cigarettes concurrently compared to the other groups. The adolescents in the dual-user group experienced more severe dyspnea and wheezing compared to the other groups included in the comparison. The results of this study confirm the correlation between the occurrence of respiratory symptoms in adolescents who smoke cigarettes, adolescents who use e-cigarettes, and adolescents who are dual users. The respiratory symptoms occur most frequently and are the most severe in the group of adolescents who use e-cigarettes and traditional cigarettes.

Randomised experiment for the effect of ‘Tobacco-Free Nicotine’ messaging on current e-cigarette users’ perceptions, preferences and intentions

BackgroundIt is unclear whether emerging synthetic tobacco-free nicotine superiority messages such as ‘better flavor and better experience’ and ‘no residual impurities of tobacco-derived nicotine’ may impact consumer perception and product...

A Randomized Clinical Trial of a Quitline Vaping Cessation Intervention: Baseline Characteristics of Young Adult Exclusive E-Cigarette Users Seeking Treatment.

Despite interest in quitting vaping among young adults (YAs), little is known about characteristics of e-cigarette (EC) users seeking treatment. In this study, YAs aged 18-24 living in the United States interested in vaping cessation treatment were recruited to complete an online survey regarding demographics and EC use. Primary eligibility criteria were EC use on at least 20 days per month (no other tobacco use), and interest in quitting in the next month. We report descriptive statistics for those who did and did not complete a mandatory coaching call (n = 981). In this sample, most EC users reported high nicotine dependence, a history of unsuccessful quit attempts (including 29.4% with previous NRT use), along with stress, anxiety, and depression. There were few meaningful differences in demographics, EC use behaviors, or behavioral health factors between those who engaged with a phone coaching call (fully enrolled in study; n = 508), and those who did not (n = 473). YAs demonstrated interest in vaping cessation support, but there were no clear characteristics for the half who did not complete a coaching call. Vaping cessation program designers should consider tailoring for the self-reported behavioral health concerns present in this population.

Multistate transition modelling of e-cigarette use and cigarette smoking among youth in the UK

IntroductionE-cigarette use remains a controversial topic, with questions over how people transition between e-cigarette use and cigarette smoking. This paper examined transitions into and out of nicotine product use in...

E-cigarette use among early adolescent tobacco cigarette smokers: testing the disruption and entrenchment hypotheses in two longitudinal cohorts

ObjectiveUsing longitudinal data from two large-scale cohorts in the UK and USA, we examine whether e-cigarette use steers adolescent early smokers away from tobacco cigarettes (disruption hypothesis) or deepens early...

A 2024 nationwide cross-sectional survey to assess the prevalence of cigarette smoking, e-cigarette use and heated tobacco use in Poland.

Monitoring tobacco use is one of the most important tobacco control interventions recommended by the World Health Organization. This study aimed to assess the prevalence of cigarette smoking, e-cigarette use, and heated tobacco use in a nationwide sample of adults in Poland, as well as to identify factors associated with smoking, e-cigarette use, and heated tobacco use. This nationwide crosssectional survey was carried out in February 2-4, 2024 using the computer-assisted web interviewing method. The study questionnaire included 17 closed questions on smoking, e-cigarette use, and heated tobacco use. A sample of 1080 adults was selected using a non-probability quota sampling method. Data were collected from 1080 adults, age M±SD 48.4±15.5 years, 53% females. Past 30-day smoking was declared by 30.4% of adults in Poland, including 24.5% of daily smokers. Ever e-cigarette use was declared by 33% of respondents, and 20.6% had ever tried heated tobacco. Past 30-day e-cigarette use was declared by 15.2% of adults, wherein 5.9% were daily e-cigarette users. Past 30-day heated tobacco use was declared by 10.9% of respondents, wherein 4.9% were daily heated tobacco users. One-tenth of adults were dual users (cigarette and e-cigarette or heated tobacco), and 6.5% were past 30-day triple users. Age 40-59 years, having less than higher education, and bad economic status were significantly associated with daily smoking (p < 0.05). Age 18-39 years, having less than higher education, and active occupational status (employment/ self-employment) were associated with daily e-cigarette use (p < 0.05). Age 18-39 years and active occupational status were associated with daily heated tobacco use (p < 0.05). This study provides comprehensive epidemiological data on the current prevalence of smoking, e-cigarette use, and heated tobacco use. The introduction of e-cigarettes and heated tobacco products evoked changes in social behaviors related to nicotine use. Int J Occup Med Environ Health. 2024;37(3):271-86.

Sex differences in tobacco use, attempts to quit smoking, and cessation among dual users of cigarettes and e-cigarettes: Longitudinal findings from the US Population Assessment of Tobacco and Health Study

SignificanceA growing number of adults use more than one tobacco product, with dual use of cigarettes and e-cigarettes being the most common combination. Monitoring sex disparities in tobacco use is a public health priority. However, little is known regarding whether dual users differ by sex. MethodsData came from Waves 4–6 (12/2016–11/2021) of the Population Assessment of Tobacco and Health Study, a US nationally-representative longitudinal survey. This analysis included current adult dual users of cigarettes and e-cigarettes. We used weighted generalized estimating equations to assess the association between sex and (1) making a cigarette quit attempt (n = 1882 observations from n = 1526 individuals) and (2) smoking cessation (n = 2081 observations from n = 1688 individuals) across two wave pairs, adjusting for age, education, ethnicity, time-to-first cigarette after waking, and e-cigarette use frequency. ResultsAmong US dual users, 14.1% (95% Confidence Intervals [Cl] = 11.9–16.4) of females and 23.4% (20.0–26.9) of males were young adults (aged 18–24), 11.7% (9.2–14.2) of females and 14.4% (11.6–17.2) of males had <high school education, and 82.2% (79.4–84.5) of females and 78.7% (75.1–82.4) of males were white. Overall, 44.9% (41.6–48.1) of females compared with 37.4% (33.5–41.3) of males made an attempt to quit smoking between a baseline and follow-up wave (Adjusted Risk Ratio [ARR] = 1.23, 1.05–1.45). In contrast, there were no apparent differences between females (22.1%, 19.0–25.2) and males (24.3%, 21.5–27.1) in smoking cessation (ARR = 1.06, 0.84–1.35). ConclusionUS females who dual use e-cigarettes and cigarettes were more likely to attempt to quit smoking, but not more likely to succeed at quitting, than males.

The impact of exposure to FDA e-cigarette authorization messages on product perceptions and interest - an experiment with adults who smoke and youth.

In the United States, e-cigarettes have entered a new regulatory era, needing authorizations from FDA to remain on or enter the marketplace. This study explored the impact of e-cigarette authorization messages on product perceptions and interest. We conducted an online experiment in June 2022 with nationally-representative samples of adults (21+) who smoke cigarettes (n=866) and youth ages 15-20 (n=859). They were randomized to one of five conditions: viewing an ad for a fictional e-cigarette brand with no reference to FDA (control), an ad with an "authorized for sale by FDA" claim in varying presentation styles (plain text, FDA "approved" stamp, FDA logo), or reading a fictional news excerpt about the product's authorization plus control ad. We compared group differences on product interest, susceptibility, harm perceptions and message perceptions. Among adults who smoke, there were no effects on product interest nor susceptibility, but ratings of the product's harmfulness compared to cigarettes were lower among those in the news versus control condition (β=-0.25, p=.04). Among youth, odds of susceptibility were higher among ever e-cigarette users who viewed the ad with the FDA logo authorization message relative to the control ad (OR=6.3, 95% CI:1.67-23.9, p<0.01). About 40% of all participants agreed the authorization claim makes them think the product is safe to use, but fewer (14-19%) agreed it makes them more interested in trying it. FDA e-cigarette authorization messages may impact some beliefs about product harm. More research is needed to track potential impacts on product use. This study provides new data about the potential impact of messages about FDA authorization of e-cigarette products (presented as ad claims or a news story) on authorized product perceptions, interest and susceptibility among adults who smoke cigarettes and youth. Our results suggest that FDA e-cigarette authorization messages may impact harm-related beliefs among adults who smoke and product susceptibility among youth who have ever used e-cigarettes before, though real-world effects are likely to be impacted by message type and format, and perceived message source and credibility. Authorization messages are likely to be misinterpreted as "FDA approval" by some; therefore, providing clarifications about authorization meaning and standards are relevant where possible.

Does e-cigarette use predict short-term smoking cessation behaviors among adults who smoke in Mexico? A longitudinal study

IntroductionThis study assessed quit attempts among adults who use cigarettes either exclusively or with e-cigarettes in Mexico, where non-daily smoking predominates. MethodsAn open cohort of Mexican adults who smoke was surveyed every four months from November 2018 to March 2021. Participants followed to the next survey were analyzed (n = 2220 individuals, 4560 observations). Multinomial logistic models regressed smoking quit attempts reported at the followup survey (ref = no attempt; tried to quit; sustained attempt of ≥30 days) on e-cigarette use frequency (none = ref; 1–2 days/week; ≥3 days/week), adjusting for sociodemographics and smoking-related variables. Additional models subdivided e-cigarette users by intentions to quit smoking in the next six months (i.e., yes/no), use of nicotine (i.e., yes/no), and vaping device used (i.e., open/closed). ResultsAt 4-month follow-up, 32.7 % had tried to quit, and 2.9 % had quit for 30 days or more. Compared to those who smoke exclusively, occasional, and frequent e-cigarette users were more likely to try to quit (Adjusted Relative Risk Ratio or ARRR = 1.26 and 1.66, respectively) but no more likely to sustain their quit attempt. Among those who intended to quit smoking, e-cigarette users were no more likely to either try or sustain quit attempts. Furthermore, use of e-cigarettes with nicotine (59.6 %) was unassociated with cessation except that those who frequently used e-cigarettes with nicotine were more likely to try to quit than those who smoke exclusively (ARRR = 1.88). Device type used was not differentially associated with outcomes. ConclusionsMexicans who smoke and use e-cigarettes appear more likely than those who smoke exclusively to try to quit but not to sustain abstinence.

Do Young Vapers Consider E-Cigarettes as Better than Tobacco Cigarettes?

E-cigarettes are battery operated devices that were designed to replicate smoking but in a less harmful manner. This is because e-cigarette usage or vaping is often associated with harm reduction as the e-liquids were said to contain lesser harmful chemical compounds compared to the ingredients exist in tobacco cigarettes. Furthermore, e-cigarettes are treated as a smoking cessation tool that could aid smokers who wish to quit smoking more effectively. This study was conducted to explore the beliefs of young adults in Malaysia about e-cigarettes. Ten undergraduate students who were pursuing their studies at Universiti Tunku Abdul Rahman (UTAR), Perak aged from 18 to 25 years old were interviewed, whereby their experiences as vapers were recorded and analysed using Atlas.ti version 8. Findings showed that the beliefs of these young adults about e-cigarettes are closely associated with their experiences as e-cigarette users and smokers. Six themes emerged from the data analysis to explain the beliefs of young adults towards e-cigarettes, which are better alternative, e-liquid content, harm reduction, second-hand vaper, addiction, and satisfaction.

E-cigarette use and United States Preventive Services Task Force (USPSTF) lung cancer screening (LCS) eligibility.

10531 Background: Electronic cigarettes (E-cigarettes) have become frequently used as a smoking cessation tool. Emerging research has shown that e-cigarettes have similar carcinogenic effects as combustible cigarettes. While current lung cancer screening (LCS) guidelines primarily rely on individuals’ smoking history, it's becoming increasingly important to understand the prevalence of e-cigarette use among individuals, especially in the context of their LCS eligibility. Methods: Individuals aged 40-80 years were extracted from the 2022 Behavioral Risk Factor Surveillance System. Eligibility was defined using the 2021 USPSTF LCS criteria, i.e., aged 50-80 years who ever smoked, with at least a 20-pack-year smoking history, currently smoke or quit within the past 15 years. We compared the prevalence of current and ever e-cigarette use among LCS-eligible and non-eligible populations, overall and by smoking (combustible cigarettes) status using chi-square tests. All analyses were weighted. The significance level was set at a 2-sided p-value of &lt;0.05. Results: Among the 208,317 individuals included, 9.9% were eligible for LCS. Overall, 3.8% and 22.1% reported current and ever cigarette use, respectively. Fewer LCS-ineligible individuals reported currently using e-cigarettes than their LCS-eligible counterparts (Table). Among former combustible cigarette users, LCS-ineligible individuals were less likely to be current e-cigarette user than LCS-eligible individuals. However, among current combustible cigarette users, LCS-ineligible individuals were more likely to be current e-cigarettes users than LCS-eligible individuals. When examining the prevalence of ever e-cigarette use, similar findings were observed. Conclusions: Our study reveals a significant prevalence of e-cigarette usage among older adults (aged 40-80), with 1 in 5 individuals reporting ever having used e-cigarettes. Moreover, current cigarette users who were ineligible for LCS were more likely to use e-cigarette than their LCS-eligible counterparts. Future epidemiological studies are warranted to assess the risk of e-cigarette use (including intensity, duration and interactions with combustible cigarettes) and lung cancer risks. E-cigarette use may need to be considered in formulating future LCS guidelines. [Table: see text]

Dual Exposure to E-Cigarette Vapour and Cigarette Smoke Results in Poorer Airway Cell, Monocyte, and Macrophage Function Than Single Exposure.

E-cigarette users predominantly also continue to smoke cigarettes. These Dual Users either consume e-cigarettes in locations where smoking is not allowed, but vaping is, or to reduce their consumption of cigarettes, believing it will lead to harm reduction. Whilst it is known that e-cigarette vapour is chemically less complex than cigarette smoke, it has a distinct chemical profile, and very little is known about the health impacts of exposure to both chemical profiles vs. either alone. We simultaneously exposed cells in vitro to non-toxic levels of e-cigarette vapour extract (EVE) and cigarette smoke extract (CSE) to determine their effects on 16HBE14o- airway epithelial cell metabolism and inflammatory response, as well as immune cell (THP-1 cells and monocyte-derived macrophages (MDM) from healthy volunteers) migration, phagocytosis, and inflammatory response. We observed increased toxicity, reduced metabolism (a marker of proliferation) in airway epithelial cells, and reduced monocyte migration, macrophage phagocytosis, and altered chemokine production after exposure to either CSE or EVE. These cellular responses were greater after dual exposure to CSE and EVE. The airway epithelial cells from smokers showed reduced metabolism after EVE (the Switcher model) and dual CSE and EVE exposure. When EVE and CSE were allowed to interact, the chemicals were found to be altered, and new chemicals were also found compared to the CSE and EVE profiles. Dual exposure to e-cigarette vapour and cigarette smoke led to worse functional outcomes in cells compared to either single exposure alone, adding to limited data that dual use may be more dangerous than smoking only.

Statistical methods for predicting e-cigarette use events based on beat-to-beat interval (BBI) data collected from wearable devices.

The prevalence of e-cigarette use among young adults in the USA is high (14%). Although the majority of users plan to quit vaping, the motivation to make a quit attempt is low and available support during a quit attempt is limited. Using wearable sensors to collect physiological data (eg, heart rate) holds promise for capturing the right timing to deliver intervention messages. This study aims to fill the current knowledge gap by proposing statistical methods to (1) de-noise beat-to-beat interval (BBI) data from smartwatches worn by 12 young adult regular e-cigarette users for 7days; and (2) summarize the de-noised data by event and control segments. We also conducted a comprehensive review of conventional methods for summarizing heart rate variability (HRV) and compared their performance with the proposed method. The results show that the proposed singular spectrum analysis (SSA) can effectively de-noise the highly variable BBI data, as well as quantify the proportion of total variation extracted. Compared to existing HRV methods, the proposed second order polynomial model yields the highest area under the curve (AUC) value of 0.76 and offers better interpretability. The findings also indicate that the average heart rate before vaping is higher and there is an increasing trend in the heart rate before the vaping event. Importantly, the development of increasing heart rate observed in this study implies that there may be time to intervene as this physiological signal emerges. This finding, if replicated in a larger scale study, may inform optimal timings for delivering messages in future intervention.

Examining the Relationship Between E-Cigarette Status and Wearable Device Use on Physical Activity Levels in U.S. Adults.

The aim of this analysis is to investigate physical activity levels amongst e-cigarette users based on their wearable device use. Cross-sectional secondary data analysis using 2017 Behavioral Risk Factor Surveillance Survey (BRFSS). Data from the 2017 BRFSS were used. 5,562 U.S. adults (age 18+). Self-reported physical activity related variables from U.S. adults (age 18+). Separate unadjusted and adjusted linear regression models were performed for each of the dependent variables using survey analysis. Non-users of wearable devices and e-cigarettes account for 96.6% (95%CI [95.7, 97.6]) of the sample, whereas users of wearable devices and e-cigarettes account for 3.3% (95%CI [1.2, 5.4]) of the sample. Those who use e-cigarettes participate in almost 50% less vigorous physical activity minutes per week than nonusers, 46 (95%CI [0.43, 91.57]) and 93 (95%CI [80.59, 106.34]) minutes respectively. Individuals who use e-cigarettes and use wearable devices were found to spend significantly more time in total physical activity per week in both the unadjusted and adjusted linear regressions, P = =0.01 and P = =0.04 respectively. The use of e-cigarettes, wearable devices, or both technologies may influence the physical activity levels of its users. Additional research is needed to better understand the association between physical activity levels and the usage of these technologies.