Dataset Information

Effects of non-tobacco flavors and nicotine on e-cigarette product appeal among young adult never, former, and current smokers.

ABSTRACT: BACKGROUND:E-cigarette regulations targeting products that disproportionately appeal to never-smokers may optimize population health. This laboratory study of young adults tested whether differences in appeal between e-cigarettes with non-tobacco-flavored (vs. tobacco-flavored) and nicotine-containing (vs. nicotine-free) solutions varied by smoking history. METHODS:Current (N?=?53), former (N?=?25), and never (N?=?22) cigarette smokers who vape (Mean[SD] age?=?25.4[4.4] years) administered standardized e-cigarette doses varied by a Flavor (fruit, menthol, tobacco) × Nicotine (nicotine-containing [6?mg/mL], nicotine-free) within-subject double-blind design. Participants rated each dose's appeal (0-100 scale). Covariate-adjusted interactions tested whether smoking history moderated flavor and nicotine effects. RESULTS:Appeal was higher for fruit and menthol than tobacco flavors in each group. The fruit vs. tobacco appeal difference was greater in never smokers (fruit-tobacco estimate?=?19.6) than current smokers (estimate?=?12.1) but not former smokers (estimate?=?12.6). The menthol vs. tobacco difference was greater in never smokers (menthol-tobacco estimate?=?17.3) than former (estimate?=?6.0) and current (estimate?=?7.2) smokers. Appeal was lower for nicotine-containing than nicotine-free solutions in each group; this difference was greater in never smokers (nicotine-nicotine-free estimate?=?-17.3) than former (estimate?=?-7.0) and current (estimate?=?-10.6) smokers. Compared to tobacco flavors, nicotine's appeal-reducing effects were suppressed by fruit and menthol flavors in never smokers. CONCLUSIONS:Higher appeal of non-tobacco-flavored (vs. tobacco-flavored) and lower appeal of nicotine-containing (vs. nicotine-free) e-cigarettes may be widespread in young adults but disproportionately amplified in never smokers. Non-tobacco flavors may suppress nicotine's appeal-lowering qualities in never smokers. The impact of regulating non-tobacco flavors in e-cigarettes may vary by smoking history.

SUBMITTER: Leventhal AM

PROVIDER: S-EPMC7489757 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Effects of non-tobacco flavors and nicotine on e-cigarette product appeal among young adult never, former, and current smokers.

Leventhal Adam M AM Goldenson Nicholas I NI Barrington-Trimis Jessica L JL Pang Raina D RD Kirkpatrick Matthew G MG

Drug and alcohol dependence 20190801

<h4>Background</h4>E-cigarette regulations targeting products that disproportionately appeal to never-smokers may optimize population health. This laboratory study of young adults tested whether differences in appeal between e-cigarettes with non-tobacco-flavored (vs. tobacco-flavored) and nicotine-containing (vs. nicotine-free) solutions varied by smoking history.<h4>Methods</h4>Current (N = 53), former (N = 25), and never (N = 22) cigarette smokers who vape (Mean[SD] age = 25.4[4.4] years) adm ...[more]

PMID: 31434028

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Project description:BackgroundIdentifying e-cigarette product characteristics that moderate the effects of non-tobacco flavors and nicotine on user appeal can inform regulations issued in tandem with e-cigarette nicotine and flavor policies aimed to protect young adult health. An e-cigarette device's electrical power affects the amount of solution aerosolized per puff, leading to more concentrated or diluted aerosol, which may alter product appeal. This laboratory experiment tested whether e-cigarette device power moderated the independent and interactive effects of non-tobacco flavors and nicotine on appeal in young adults.MethodIn a within-subject design single-visit protocol, young adult e-cigarette users (N = 100) administered standardized doses of e-cigarette solutions varying in flavor (fruit, menthol, tobacco) and nicotine (nicotine-containing [6 mg/mL], nicotine-free). Solutions were administered via a variable-voltage tank-style device at low (7.3 W[3.3 V@1.5 Ω resistance]) and high (12.3 W[4.3 V@1.5 Ω resistance]) power settings. Participants rated each dose's appeal (0-100 scale).ResultsThe high (vs. low) power setting attenuated the appeal-enhancing effects of menthol (vs. tobacco) flavors (Menthol × Power, estimate = -5.44, P = .03). Power did not moderate the appeal-enhancing effects of fruit flavors. High (vs. low) power amplified the appeal-reducing effects of nicotine-containing (vs. nicotine-free) solutions (Nicotine × Power, estimate = 6.69, P < .001) and augmented the extent to which fruit and menthol flavors suppressed nicotine's appeal-reducing effects (Flavor × Nicotine × Power, estimates = 9.40-14.85, Ps≤0.03).ConclusionE-cigarette device power appears to moderate flavor- and nicotine-induced changes in product appeal in nuanced ways, including by augmenting the ability of non-tobacco flavors to mask nicotine's appeal-reducing effects. Regulatory restrictions on high-powered e-cigarette devices warrant consideration in efforts to protect young adult health.

Project description:Background DNA methylation (DNAm) performs excellently in the discrimination of current and former smokers from never smokers, where AUCs > 0.9 are regularly reported using a single CpG site (cg05575921; AHRR). However, there is a paucity of DNAm models which attempt to distinguish current, former and never smokers as individual classes. Derivation of a robust DNAm model that accurately distinguishes between current, former and never smokers would be particularly valuable to epidemiological research (as a more accurate smoking definition vs. self-report) and could potentially translate to clinical settings. Therefore, we appraise 4 DNAm models of ternary smoking status (that is, current, former and never smokers): methylation at cg05575921 (AHRR model), weighted scores from 13 CpGs created by Maas et al. (Maas model), weighted scores from a LASSO model of candidate smoking CpGs from the literature (candidate CpG LASSO model), and weighted scores from a LASSO model supplied with genome-wide 450K data (agnostic LASSO model). Discrimination is assessed by AUC, whilst classification accuracy is assessed by accuracy and kappa, derived from confusion matrices. Results We find that DNAm can classify ternary smoking status with reasonable accuracy, including when applied to external data. Ternary classification using only DNAm far exceeds the classification accuracy of simply assigning all classes as the most prevalent class (63.7% vs. 36.4%). Further, we develop a DNAm classifier which performs well in discriminating current from former smokers (agnostic LASSO model AUC in external validation data: 0.744). Finally, across our DNAm models, we show evidence of enrichment for biological pathways and human phenotype ontologies relevant to smoking, such as haemostasis, molybdenum cofactor synthesis, body fatness and social behaviours, providing evidence of the generalisability of our classifiers. Conclusions Our findings suggest that DNAm can classify ternary smoking status with close to 65% accuracy. Both the ternary smoking status classifiers and current versus former smoking status classifiers address the present lack of former smoker classification in epigenetic literature; essential if DNAm classifiers are to adequately relate to real-world populations. To improve performance further, additional focus on improving discrimination of current from former smokers is necessary. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01191-6.

Project description:BackgroundSmoking negatively impacts COVID-19 severity and adverse outcomes. Evidence on whether smoking is associated with SARS-Co-V2 infection and having a positive test is scarce, particularly from low-and middle-income countries, where most of the world's billion smokers live. The inconsistency in relevant findings calls for study designs and analyses to account for possible confounders including background characteristics and pre-existing co-morbidities, to disentangle the specific effect of smoking. In healthcare workers (HCWs) the frequency of exposure to COVID-19 cases adds another layer of risk that was not factored in previous studies. We examined the association of HCWs' tobacco/nicotine use (never, former, and current use) with having a positive SARS-Co-V2 test result and symptoms suggestive of infection, accounting for demographics, exposures, and co-morbidities.MethodsA prospective cohort study of 4040 healthcare workers with baseline and follow-up screening took place during April-June 2020 in 12 healthcare facilities in Cairo, Egypt. Data on demographics, tobacco/nicotine use (manufactured or roll-your-own cigarettes, waterpipe tobacco, and electronic devices), co-morbidities, symptoms, exposures, and SARS-Co-V2 investigations were analyzed. Multinomial and multivariable logistic regression analyses were performed.ResultsOverall, 270/4040 (6.7, 95%CI: 5.9-7.5) had positive SARS-CoV-2 tests, 479 (11.9%) were current and 79 (2.0%) were former tobacco/nicotine users. The proportion of positive tests was 7.0% (243/3482, 95%CI: 6.1-7.8) among never, 5.1% (4/79, 95%CI: 0.1-10.0) among former, and 4.8% (23/479, 95%CI: 2.9-6.7) among current users. HCWs' SARS-CoV-2 test results did not vary significantly by single/multiple or daily/non-daily tobacco/nicotine use. Compared to never users, former users were more likely to self-report a pre-existing medical condition (ORadjusted1.87, 95%CI: 1.05-3.33, p = 0.033), and to experience symptoms suggestive of COVID-19 (ORadjusted1.76, 95%CI: 1.07-2.90, p = 0.027). After adjustment, former (ORadjusted0.45, 95%CI: 0.11-1.89, p = 0.273) and current (ORadjusted0.65, 95%CI: 0.38-1.09, p = 0.101) tobacco/nicotine use was not associated with HCWs' SARS-CoV-2 positive test results.ConclusionsThis is the first report on this association from low- and middle-income countries with high tobacco/nicotine use prevalence. In this HCW cohort, having a positive SARS-CoV-2 test was not associated with tobacco/nicotine use after accounting for demographics, exposures, and co-morbidities. Additional population-based studies could use such preliminary evidence to investigate this controversial association.

Dataset Information

Effects of non-tobacco flavors and nicotine on e-cigarette product appeal among young adult never, former, and current smokers.

Publications

Effects of non-tobacco flavors and nicotine on e-cigarette product appeal among young adult never, former, and current smokers.

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