Use of ENDS devices and modifications to vape cannabis among adolescents and young adults who also vape nicotine.

BACKGROUND: Electronic nicotine delivery systems (ENDS) are the most used tobacco product among adolescents and young adults (AYAs) and are increasingly used to vape cannabis. It is unclear what vaping devices and ENDS modifications are used most frequently by AYAs who vape both nicotine and cannabis. METHODS: AYAs (aged 14-29) reporting ENDS use in the past 30 days were recruited via Qualtrics (N = 1,011). We conducted three multivariable logistic regression models examining differences in likelihood of: 1) vaping cannabis in the past 30 days; 2) mixing cannabis and nicotine liquids; and 3) using nicotine devices to vape cannabis; based on type of vaping device used most often, controlling for age, socio-economic status, gender, race, frequency of ENDS use, and other cannabis use. RESULTS: 40 % (n = 405) of AYAs reported vaping both nicotine and cannabis in the past 30 days. AYAs who used vape pens most often were more likely to have vaped cannabis concentrates in the past 30 days compared to individuals using disposable vapes (aOR = 2.72, 95 %CI = 1.75-4.21, p < 0.001). AYAs who used open systems most often (i.e., vape pens, mods, or e-hookah) were more likely than individuals using closed systems (i.e., disposable vapes, rechargeable pods or cigalikes) to combine nicotine and cannabis e-liquids (aOR = 2.03, 95 %CI = 1.43-2.89, p < 0.001) or use a nicotine device to vape cannabis (aOR = 1.66, 95 %CI = 1.17-2.34, p = 0.005). IMPLICATIONS: Co-use of cannabis and nicotine via similar devices, particularly vape pens and other open-systems, warrants collaborative regulatory efforts to mitigate co-use of both substances, with a particular need for increased regulation of cannabis vaping products.

Trends in long term vaping among adults in England, 2013-23: population based study.

OBJECTIVE: To examine trends in long term (>6 months) vaping among adults in England. DESIGN: Population based study. SETTING: England. PARTICIPANTS: 179 725 adults (≥18 years) surveyed between October 2013 and October 2023. MAIN OUTCOME MEASURES: Time trends in prevalence of long term vaping using logistic regression, overall and by vaping frequency (daily or non-daily), and main type of device used (disposable, refillable, or pod). RESULTS: The proportion of adults reporting long term vaping increased non-linearly, from 1.3% (95% confidence interval 1.1% to 1.5%) in October 2013 to 10.0% (9.2% to 10.9%) in October 2023, with a particularly pronounced rise from 2021. This rise included an increase in long term daily vaping, from 0.6% (0.5% to 0.8%) to 6.7% (6.0% to 7.4%). Absolute increases in long term vaping were larger among people with a history of regular smoking (current smokers: 4.8% (4.0% to 5.8%) to 23.1% (20.4% to 25.9%); recent former smokers: 5.7% (3.4% to 9.2%) to 36.1% (27.6% to 45.4%); long term former smokers: 1.4% (1.0% to 1.9%) to 16.2% (14.2% to 18.4%)), but an increase also occurred among people who had never regularly smoked (0.1% (0.0% to 0.2%) to 3.0% (2.3% to 3.8%)). Growth was also more pronounced in young adults (eg, reaching 22.7% (19.2% to 26.5%) of 18 year olds v 4.3% (3.6% to 5.2%) of 65 year olds), including among those who had never regularly smoked (reaching 16.1% (11.1% to 22.7%) of 18 year olds v 0.3% (0.1% to 0.6%) of 65 year olds). Between October 2013 and March 2021, most long term vapers mainly or exclusively used refillable electronic cigarettes (2.5% to 3.3% of adults) and few (0.1% of adults) used disposable devices. However, prevalence of long term vaping using disposable devices subsequently rose rapidly, and by October 2023 similar proportions of adults mainly or exclusively used disposable and refillable devices (4.9% (4.2% to 5.7%) and 4.6% (4.0% to 5.3%), respectively). CONCLUSIONS: The prevalence of long term vaping increased substantially among adults in England during 2013-23. Much of this increase occurred from 2021, coinciding with the rise in popularity of disposable e-cigarettes. Half of long term vapers now mainly or exclusively use disposable devices. The growth was concentrated among people with a history of regular smoking, but an increase also occurred among people who never regularly smoked, especially young adults.

Secondhand Nicotine Absorption From E-Cigarette Vapor vs Tobacco Smoke in Children.

Importance: With the prevalence of e-cigarette use (vaping) increasing worldwide, there are concerns about children's exposure to secondhand vapor. Objective: To compare nicotine absorption among children who are (1) exposed to secondhand tobacco smoke only or (2) exposed to secondhand vapor only with (3) those exposed to neither. Design, Setting, and Participants: The US Continuous National Health and Nutrition Examination Survey (NHANES) is a repeat cross-sectional survey. Participants are interviewed in their homes and, several days after, visit a mobile examination center to provide biological specimens. This study uses data from a nationally representative sample of US households from 2017 to 2020. Participants were children aged 3 to 11 years with serum cotinine levels incompatible with current firsthand nicotine use (ie, <15 µg/L). The final analysis was conducted on January 9, 2024. Exposures: Reported exposure to secondhand smoke or vapor indoors in the past 7 days (only secondhand smoke, only secondhand vapor, or neither). Covariates included age, sex, ethnicity, family income, body weight, and height. Main Outcomes and Measures: The primary outcome was serum cotinine concentration, an objective biomarker of nicotine absorption. Geometric mean cotinine levels and 95% CIs were calculated using log-normal tobit regression, accounting for the complex survey design and weights. Results: The mean (SD) age of the 1777 children surveyed was 7.4 (2.6) years, 882 (49.6%) were female, and 531 (29.9%) had family incomes below the poverty level. Nicotine absorption, as indexed by serum cotinine level, was highest among children only exposed to secondhand smoke (0.494 µg/L µg/L; 95% CI, 0.386-0.633 µg/L), followed by those exposed only to secondhand vapor (0.081 µg/L; 95% CI, 0.048-0.137 µg/L), equating to 83.6% (95% CI, 71.5%-90.5%; P < .001) lower nicotine absorption. Among children with no reported secondhand exposure, the geometric mean cotinine level was 0.016 µg/L (95% CI, 0.013-0.021 µg/L), or 96.7% (95% CI, 95.6%-97.6%; P < .001) lower than for those with exposure to secondhand smoke. Results were similar after covariate adjustment. Conclusions and Relevance: In this cross-sectional study of US children, nicotine absorption was much lower in children who were exposed to secondhand vapor vs secondhand smoke, but higher than in those exposed to neither. These findings suggest that switching from smoking to vaping indoors may substantially reduce, but not eliminate, children's secondhand exposure to nicotine and other noxious substances.

Measures of youth e-cigarette use: strengths, weaknesses and recommendations.

This perspective discusses how to best define "e-cigarette use" among youth in a way that is relevant to individual and human health. Commonly-used definitions of youth e-cigarette use have been adapted from measures validated for tobacco cigarette smoking among adults, but may not carry the same meaning for a different product (with a much lower risk profile and very different patterns of use) and a different population (whose use is more often transient and experimental, rather than frequent and persistent). We discuss strengths and weaknesses of different definitions, and recommend improvements in defining youth e-cigarette use. We find that current literature employs a range of definitions of e-cigarette use, from lifetime use ("even a puff") to daily use. More lenient measures capture more potentially at-risk youth, but much of this is transient experimentation that has negligible risks in and itself, if not persistent. More stringent measures such as daily use are more relevant to individual and public health. Future research should examine possible improvements to definitions which include intensity of use (e.g., number of puffs per day) and persistence/duration of use, either via self-report or technology-assisted data capture.

Increased e-cigarette use prevalence is associated with decreased smoking prevalence among US adults.

BACKGROUND: If US adults who smoke cigarettes are switching to e-cigarettes, the effect may be observable at the population level: smoking prevalence should decline as e-cigarette prevalence increases, especially in sub-populations with highest e-cigarette use. This study aimed to assess such effects in recent nationally-representative data. METHODS: We updated a prior analysis with the latest available National Health Interview Survey data through 2022. Data were cross-sectional estimates of the yearly prevalence of smoking and e-cigarette use, respectively, among US adults and among specific age, race/ethnicity, and sex subpopulations. Non-linear models were fitted to observed smoking prevalence in the pre-e-cigarette era, with a range of 'cut-off' years explored (i.e., between when e-cigarettes were first introduced to when they became widely available). These trends were projected forward to predict what smoking prevalence would have been if pre-e-cigarette era trends had continued uninterrupted. The difference between actual and predicted smoking prevalence ('discrepancy') was compared to e-cigarette use prevalence in each year in the e-cigarette era to investigate whether the observed decline in smoking was statistically associated with e-cigarette use. RESULTS: Observed smoking prevalence in the e-cigarette era was significantly lower than expected based on pre-e-cigarette era trends; these discrepancies in smoking prevalence grew as e-cigarette use prevalence increased, and were larger in subpopulations with higher e-cigarette use, especially younger adults aged 18-34. Results were robust to sensitivity tests varying the analysis design. CONCLUSIONS: Population-level data continue to suggest that smoking prevalence has declined at an accelerated rate in the last decade in ways correlated with increased uptake of e-cigarette use.

A decomposition analysis of sociodemographic factors and non-cigarette tobacco use as contributors to the change in smoking rates in South Africa between 2017/18 and 2021.

BACKGROUND: Trends data up to 2018 suggest that tobacco smoking was increasing in South Africa (SA), but only limited information is available on the impact of the COVID-19 pandemic on the current pattern of use of tobacco and nicotine products (TNPs). OBJECTIVES: To assess trends in sociodemographic patterns in the use of TNPs and the extent to which sociodemographic factors and non-cigarette tobacco use may explain possible changes in rates of TNP use between 2017/18 and 2021. METHODS: Data from three waves (2017, 2018 and 2021) of the South African Social Attitudes Survey (total N=8 140) were analysed. The sociodemographic correlates of current daily and non-daily use of factory-manufactured cigarettes (FMCs), roll-your-own (RYO) cigarettes, waterpipe/hubbly, electronic cigarettes (ECigs), snuff (a smokeless tobacco) and any combination of FMCs, RYO cigarettes and waterpipe/hubbly ('current smoking') in 2017/18 (pre-pandemic) were compared with those for 2021 (during the pandemic). Chi-square analyses and generalised linear models were used to compare the prevalence of TNP use between the two periods. A Blinda-Oaxaca decomposition analysis was also used to explore the roles of various sociodemographic factors, including any differences in the use of TNPs, that may explain any observed differences in smoking rates between 2017/18 and 2021. RESULTS: Current smoking increased significantly from 22.4% (95% confidence interval (CI) 20.4 - 24.5) in 2017/18 to 27.6% (95% CI 24.3 - 31.1) in 2021 (p=0.009). Smoking of FMCs did not change significantly overall between these two periods (20.1% v. 22.1%; p=0.240), except for a significant increase among those who self-identified as black African and a decrease among those who self-identified as coloured and those currently employed. However, the use of waterpipe/hubbly, ECigs, RYO cigarettes and snuff increased significantly. Women, individuals aged <35 years and black Africans had the largest increase in waterpipe/hubbly and ECig use. A decomposition analysis showed that increased waterpipe/hubbly and RYO use explained 52% and 15%, respectively, of the increase in smoking rates, while lower employment during 2021 compared with 2017/18 explained 15% of the increase in smoking rates during 2021. CONCLUSION: The use of all TNPs continued to increase in SA, particularly among women and unemployed people. These findings have policy and practice implications for addressing socioeconomic disparities in tobacco-related diseases.

Popularity of Zyn and other nicotine pouch brands among U.S. adolescents, young adults, and adults in 2021.

OBJECTIVE: This study identifies brands of nicotine pouches used in 2021, just before the surge in popularity of Zyn use. METHODS: We conducted a national, cross-sectional online survey of a general U.S. population (November to December 2021; N = 6131; age 13-40) via Qualtrics panels. Descriptive analyses and chi-squared tests (alpha = 0.05) were performed to assess ever and past-30-day use of nicotine pouch brands across adolescents (13-20), young adults (21-24), and adults (25-40), and to assess frequency of popular brands used among peers. RESULTS: The top brands ever used were Zyn (overall: 30.9%; adolescents: 31.9%; young adults: 33.2%; adults: 28.3%) and Lyft (overall: 28.8%; adolescents: 28.4%; young adults: 32.9%; adults: 26.3%), with no differences in ever-use by age group (p's > 0.095). The top brands used in the past-30-days were Zyn (overall: 26.4%; adolescents: 24.5%; young adults: 24.3%; adults: 30.0%) and Rush (overall: 24.2%; adolescents: 21.0%; young adults: 22.7%; adults: 28.6%). Adults (vs. adolescents, young adults) were more likely to report past-30-day use of Lyft (p = 0.004). Participants indicated Zyn (18.5%) and Lyft (18.2%) to be the most popular brands among peers. CONCLUSIONS: Even in 2021, Zyn was the most popular brand of nicotine pouches. Findings will help regulate and reduce impact of marketing of Zyn.

Susceptibility to e-cigarette among high school students: a study based on the ecological model of health behavior.

Introduction: Youth e-cigarette (EC) use has rapidly increased in the last few years. It is crucial to identify the susceptible youth and prevent them from EC uptake. This study was conducted to investigate factors that affect youth susceptibility to EC use. Methods: This study employed a cross-sectional survey design, utilizing multi-center stratified cluster sampling method to select two junior high schools and two senior high schools in Shanghai, Guangzhou, and Chengdu. One-third of classes of each grade in the selected schools were involved in this survey. After obtaining the informed consent of parents, an anonymous and self-administered questionnaire was distributed to students. Questionnaire was designed based on the Ecological Models of Health Behavior. Associations between EC susceptibility and covariates were identified using multivariate logistic regression. Results: Among 2,270 students who had never vaped, 38.0% were susceptible to ECs. Logistic regression analysis identified factors on different levels affecting the susceptibility. Individual factors included senior high school students (OR = 1.34, 95% CI: 1.08-1.65), sensation seeker (OR = 1.11, 95%CI: 1.08-1.14), poor academic performance (OR = 1.24, 95% CI: 1.01-1.54), ever cigarette user (OR = 2.27, 95% CI: 1.29-4.01), unaware of the second-hand smoke from vaping (OR = 1.56, 95% CI: 1.25-1.96), agreeable with "I do not want to hang around vapers" (OR = 0.79, 95% CI: 0.64-0.97), agreeable with "ECs are more fashionable than cigarette" (OR = 2.50, 95% CI: 1.72-3.62) and favorable attitudes toward vaping (OR = 5.09, 95% CI: 3.78-6.85) were significantly associated with susceptibility to ECs. At interpersonal level, students who believe they would not be punished by parents for vaping increased susceptibility (OR = 1.27, 95% CI:1.01-1.59). At community level, exposure of EC advertising (OR = 1.81, 95% CI:1.46-2.25), exposure to hazard information (OR = 0.76, 95% CI: 0.59-0.97) and seeing vaping in daily life (OR = 2.11, 95% CI: 1.62-2.74), were statistically significantly associated with youth susceptibility to ECs. Conclusion: EC susceptibility was observed in a substantial proportion of adolescents who had never vaped, influenced by factors on different levels. This research underscores the urgent need for comprehensive intervention strategies to prevent the youth susceptibility to ECs.

E-Cigarette Use and Lung Cancer Screening Uptake.

This cross-sectional study examines e-cigarette use and lung cancer screening uptake among individuals in the US.

Do sociodemographic risk profiles for adolescents engaging in weekly e-cigarette, cigarette, and dual product use differ?

BACKGROUND: E-cigarette use represents a contemporary mode of nicotine product use that may be changing the risk profile of participating adolescents. Understanding differences in sociodemographic characteristics of adolescents engaging in contemporary e-cigarette use and traditional cigarette use is important for effectively developing and targeting public health intervention programs. The objective of this study was to identify and compare sociodemographic risk profiles for exclusive e-cigarette use and dual-product use among a large sample of Canadian youth. METHODS: A survey of 46,666 secondary school students in the 2021-22 wave of the COMPASS study measured frequency of past month e-cigarette and cigarette use as well as age, sex, gender, racial or ethnic background, spending money, relative family affluence, and having one's own bedroom. Rates of cigarette-only, e-cigarette-only, and dual product use were calculated, and separate classification trees were run using the CART algorithm to identify sociodemographic risk profiles for weekly dual-product use and weekly e-cigarette-only use. RESULTS: Over 13% of adolescents used only e-cigarettes at least weekly, 3% engaged in weekly dual e-cigarette and cigarette use, and less than 0.5% used only cigarettes. Available spending money was a common predictor of dual-product and e-cigarette-only use. Gender diverse youth and youth with lower perceived family affluence were at higher risk for dual-product use, while white and multiethnic adolescents were at greater risk of e-cigarette-only use. Two high-risk profiles were identified for e-cigarette-only use and four high-risk profiles were identified for dual product use. CONCLUSIONS: This study used a novel modelling approach (CART) to identify combinations of sociodemographic characteristics that profile high-risk groups for exclusive e-cigarette and dual-product use. Unique risk profiles were identified, suggesting that e-cigarettes are attracting new demographics of adolescents who have not previously been considered as high-risk for traditional cigarette use.

Knowledge of Tunisian physicians about electronic cigarettes.

INTRODUCTION: The electronic cigarette is a new-generation smoking product whose mechanism of use could, in theory, minimize adverse health effects. AIM: Determine the knowledge and perceptions of a sample of Tunisian doctors regarding electronic cigarettes. METHODS: We conducted a descriptive cross-sectional study over a two-month period with a sample of Tunisian doctors. We used an online self-questionnaire on physicians' knowledge and perceptions of e-cigarettes. RESULTS: Data were obtained from 216 physicians. Of the participants, 97.2% were familiar with e-cigarettes, 56.5% reported low knowledge, and 83.4% expressed motivation to learn more about e-cigarettes. Overall, 83.8% of doctors felt that electronic cigarettes are harmful to the user's health. Use of this product would increase the risk of cancer according to 73.1% of participants, the risk of cardiovascular disease according to 68.5% of participants, and the risk of chronic lung disease according to 79.2% of participants. The perception of e-cigarettes as harmful to the user's health was associated with the physicians' medical specialty (p=0.032). The recommendation of e-cigarettes as a smoking cessation tool was negatively correlated with addictology training (p=0.027). CONCLUSIONS: Physicians' knowledge of electronic cigarettes is heterogeneous, reflecting the current lack of information and consensus.

Depression screening outcomes among adolescents, young adults, and adults reporting past 30-day tobacco and cannabis use.

BACKGROUND: Few studies examine the relationship between depression and use of specific tobacco and/or cannabis products among adolescents, young adults, and adults. We determined whether the odds of depression are greater among those who used specific tobacco and/or cannabis products and among co-users of tobacco and cannabis. METHOD: Cross-sectional online survey of a national convenience sample of 13-40-year-olds (N = 6,038). The survey included depression screening and past 30-day use of specific tobacco and cannabis products (cigarettes; e-cigarettes, vaped cannabis, little cigars, cigarillos, cigars, hookah, chewing tobacco, smoked cannabis, edible cannabis, blunts). Analyses correspond to the total sample, and 13-17-, 18-24-, and 25-40-year-olds. RESULTS: Among 5,281 individuals who responded to the depression screener and nine product use questions, 1,803 (34.1 %) reported co-use of at least one tobacco product and one cannabis product in the past 30 days. Past 30-day co-use was associated with higher likelihood of screening positive for depression compared to past 30-day use of tobacco-only (aOR = 1.32, 1.06-1.65; 0.006) or cannabis-only (aOR = 1.94, 1.28-2.94; <0.001). Screening positive for depression was more likely among those who reported past 30-day use of e-cigarettes (aOR = 1.56; 1.35-1.80; <0.001), cigarettes (aOR = 1.24, 1.04-1.48; 0.016), chewed tobacco (aOR = 1.91, 1.51-2.42; <0.001), and blunts (aOR = 1.22, 1.00-1.48; 0.053) compared to those who did not report past 30-day use of these products. Among the 2,223 individuals who screened positive for depression, the most used two-product combination was nicotine e-cigarettes and smoked cannabis (614 individuals, 27.6 %). CONCLUSIONS: Screening positive for depression was more likely among past 30-day co-users versus past 30-day users of tobacco-only or cannabis-only. Findings suggest that prevention programs for depression and substance use address tobacco and cannabis co-use.

The prospective relationship between a-priori intentions for and patterns of e-cigarette use among adults who smoke cigarettes.

BACKGROUND: Electronic (e-)cigarettes may help adult cigarette smokers achieve cigarette cessation, depending on patterns of e-cigarette use. Among cigarette smokers who do not use e-cigarettes, it is unclear if and how a-priori intentions for use are related to uptake patterns. Longitudinal studies have focused on established e-cigarette users or adolescent and young adult populations exclusively. METHODS: Within a nationwide randomized clinical trial (N = 638), adult cigarette smokers not currently using e-cigarettes were randomized (2:1) to receive (or not) one-month sampling of e-cigarettes. An exploratory factor analysis (EFA) was performed on an established 15-item measure assessing a-priori intentions for e-cigarette use to identify latent variables. Among those receiving e-cigarette products, regression models examined relationships between intentions and: 1) uptake (yes/no), 2) frequency (number of days per week), and 3) amount (puffing episodes per day) of e-cigarette use at one-month follow-up. RESULTS: Two factors emerged from the EFA: 1) cigarette-related intentions (e.g., cigarette cessation, no smell) and 2) novel appeal of e-cigarettes (e.g., flavors). Three items remained and were treated as separate intentions: "feels like cigarette smoking", "curiosity", and "affordability". In the final multivariable models, "feel like cigarette smoking" predicted more frequent e-cigarette use (ß = 0.187, SE = 0.086, p = 0.03); however, none of the five factors/intentions were significantly associated with uptake or amount of use. CONCLUSIONS: For adult cigarette smokers not currently using e-cigarettes, a-priori intentions for using e-cigarettes might not be predictive of if or how these products will be used in the future, suggesting that motives may not drive use behavior.

Reasons for multiple tobacco product and cannabis co-use among Texas young adults.

OBJECTIVE: This study examines differences in reasons for e-cigarette, cigarette, and cannabis use across exclusive, dual, co-, and poly co-users. METHODS: Participants were 645 young adults who reported past 30-day (P30D) use of e-cigarettes, cigarettes, or cannabis at wave 14 (Fall, 2021) of the Texas Adolescent Tobacco Marketing and Surveillance System (TATAMS). Exclusive users reported P30D use of one product, dual users reported P30D use of e-cigarettes and cigarettes, co-users reported use of cannabis and one tobacco product, and poly co-users reported P30D use of all three products. Participants were asked if they agreed with a series of reasons for using their respective products. Multinomial logistic regression analyses were conducted to examine associations between reasons for use and pattern of use, controlling for sex, race/ethnicity, and lifetime product use. RESULTS: 26.36 % of P30D users reported cannabis and tobacco use. Poly co-users were more likely to report using e-cigarettes because their friends do than e-cigarette co-users (aRRR = 2.64; 95 %CI = 1.19-5.83) and dual tobacco users (aRRR = 5.11; 95 %CI = 1.73-15.12). Poly co-users were more likely to smoke cigarettes while drinking alcohol (aRRR = 4.68; 95 %CI = 1.06-20.72) or to experience a pleasurable buzz (aRRR = 5.48; 95 %CI = 1.62-18.57) than exclusive cigarette users. Poly co-users more often reported using cannabis for taste (aRRR = 3.13; 95 %CI = 1.51-6.51), because their friends use it (aRRR = 2.19; 95 %CI = 1.08-4.42), and while drinking alcohol (aRRR = 2.13; 95 %CI = 1.03-4.41) than exclusive cannabis users. CONCLUSIONS: Given that reasons for use differ significantly among types of multiple product users and exclusive users, interventions should be tailored to address the specific tobacco and cannabis use practices of young adults.

Fruit flavors in electronic cigarettes (ECIGs) are associated with nocturnal dry cough: A population longitudinal analysis.

Evidence from in vitro and animal models has identified the pulmonary toxicity of flavors in electronic cigarettes (ECIGs); however, less is known from epidemiological studies about the effects of flavors in the respiratory health. This study examined the longitudinal association between exposure to ECIGs flavors and nocturnal dry cough among ECIGs users. A secondary analysis of data from the Population Assessment of Tobacco and Health Study (2014-2019) was conducted. The study population included adults who provided information (n = 18,925) for a total of 38,638 observations. Weighted-incidence estimates and weighted- generalized estimating equation models were performed to assess unadjusted and adjusted associations. The weighted incidence proportion (WIP) of nocturnal dry cough was significantly higher among current (WIP:16.6%; 95%CI 10.5, 21.2) and former fruit flavored ECIGs users (WIP:16.6%; 95%CI 11.3, 21.9) as compared to non-ECIGs users (WIP:11.1%; 95%CI 10.6, 11.6). Current ECIGs users of fruit flavors showed 40% higher risk of reporting cough than non-ECIGs users (aRR:1.40, 95%CI 1.01, 1.94). Former ECIGs users of multiple flavors and other flavors had 300% and 66% higher risk to develop cough, respectively (aRR:3.33, 95%CI 1.51, 7.34 and aRR:1.66, 95%CI 1.0.9, 2.51), relative to non-ECIGs users. We observed a significantly higher risk of developing nocturnal dry cough in the past 12 months in current and former ECIGs users of fruit flavors and in former ECIGs users of multiple flavors. To the extent that cough may serve as an early indicator of respiratory inflammation and potential disease risk, the association between ECIGs use and cough raises potential concerns.

Exploring Native Hawaiian and Pacific Islander Youths' E-Cigarette Resistance Strategies: Implications for Tobacco Product Use Prevention.

This study examined the e-cigarette and vaping resistance strategies used by Native Hawaiian and Pacific Islander (NHPI) youths in rural Hawai'i. Focus groups (N = 17) were conducted in eight geographically dispersed elementary, middle/intermediate, and multilevel schools in low-income communities on Hawai'i Island. Sixty-nine youths (67% NHPI, Mage = 12.5 years) participated in this study. The resistance strategies discussed across the greatest number of groups were "refuse" (saying no), "explain" (providing reasons for vaping refusal), "avoid" (avoiding people or places where e-cigarettes were used), and "leave" (walking away from a situation where e-cigarettes were being used). Participants described the challenges in using these strategies within contexts characterized by widespread peer and family vaping and strong social demands to use e-cigarettes. The findings suggest the need for multi-level interventions based on youths' resistance strategies to meaningfully reduce youth vaping use in rural and/or NHPI communities.