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1 trials evaluated effects of interventions on e-cigarette use.
2 ee (50%) of whom had relapsed with vaping or e-cigarette use.
3 arette dual use, and a decrease in exclusive e-cigarette use.
4 ) of middle school students reported current e-cigarette use.
5 ) of middle school students reported current e-cigarette use.
6 Outcomes were current tobacco smoking and e-cigarette use.
7 be ineffective at preventing youth flavored e-cigarette use.
8 iquids) enhances nicotine bioavailability in e-cigarette use.
9 >30% of high school-age adolescents reported e-cigarette use.
10 usive cigarette use or dual use to exclusive e-cigarette use.
11 4 755 BRFSS participants with information on e-cigarette use.
12 d monthly assessments via text message about e-cigarette use.
13 y and adverse birth outcomes associated with e-cigarette use.
14 ion to identify factors associated with ever e-cigarette use.
15 igarette smoking associated with past 30-day e-cigarette use.
16 d monthly assessments via text message about e-cigarette use.
17 king after initiation regardless of baseline e-cigarette use.
18 of middle school students reported flavored e-cigarette use.
19 past-month prevalence of dual cigarette and e-cigarette use (13.5% vs 10.1%; P = .02), polycombustib
20 Overall, among individuals reporting current e-cigarette use, 42.2% (95% CI, 40.7%-43.7%) indicated f
21 mong 994 307 adults from states with data on e-cigarette use, 429 370 individuals (weighted 51.3% fem
22 y) had significantly higher adjusted odds of e-cigarette use (adjusted odds ratio [AOR], 1.60; 95% CI
23 social media posts was associated with solo e-cigarette use (adjusted odds ratio [AOR], 1.83; 95% CI
24 of e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking.
29 aller increases in the rates of cannabis and e-cigarette use among all female students (cannabis use:
31 other substance use, and sensation seeking, e-cigarette use among cannabis-naive adolescents was ass
32 ugust 2022 to assess the association between e-cigarette use among cigarette-naive adolescents aged 1
35 e cigarettes; however, little is known about e-cigarette use among pregnant adolescents, a population
36 revention has reported a trend of increasing e-cigarette use among teens, with use rates doubling fro
38 vertising and parental and peer influence in e-cigarette use among US adolescents in recent years, hi
41 ookah use, ever e-cigarette use, and current e-cigarette use) among New Jersey high school students,
44 We aimed to assess the association between e-cigarette use and cigarette smoking cessation among ad
45 the independent association between baseline e-cigarette use and cigarette smoking, controlling for s
47 access source) by school level and flavored e-cigarette use and flavor types among current e-cigaret
48 e clinical findings and associations between e-cigarette use and increased incidence of respiratory d
50 oportion of individuals who reported current e-cigarette use and never using combustible cigarettes w
52 dinal data assessing the association between e-cigarette use and respiratory symptoms are lacking.
57 shared genetic aetiology between smoking and e-cigarette use, and also with socioeconomic position, e
58 s (ever hookah use, current hookah use, ever e-cigarette use, and current e-cigarette use) among New
59 lung undergo numerous changes in response to e-cigarette use, and disease development will depend on
60 iations of social media use with tobacco and e-cigarette use, and fixed effects analyses investigated
61 I, 1.36-1.63]) as well as cigarette smoking, e-cigarette use, and other tobacco product use overall a
62 e advertising exposure, past 30-day parental e-cigarette use, and the number of best friends using e-
63 tive text message plan, reported past 30-day e-cigarette use, and were interested in quitting in the
64 RATIONALE: Rates of adolescent electronic (e-) cigarette use are increasing, but there has been lit
66 the biological effects of fourth-generation e-cigarette use are unique compared with those associate
67 cannabis use: aRR, 0.17 [95% CI, 0.03-0.96]; e-cigarette use: aRR, 0.16 [95% CI, 0.03-0.82]) compared
69 tion PRS and the main outcome, self-reported e-cigarette use, as well as self-reported smoking initia
72 aOR, 4.13 [95% CI, 2.35-7.26]) and initiate e-cigarette use at follow-up (eg, among adolescents repo
73 used NRT, especially for those who initiated e-cigarette use before pregnancy, indicating that replac
77 ss trends in prevalence of current and daily e-cigarette use by US adults and to characterize trends
81 indicated that the adjusted odds of incident e-cigarette use, cigarette smoking, other tobacco use, a
82 es, the adjusted odds ratio of baseline ever e-cigarette use, compared with never e-cigarette use, wa
83 gn, population, definition and prevalence of e-cigarette use, comparison group (if applicable), cigar
89 These results suggest that although current e-cigarette use decreased during 2019 to 2020, overall p
90 ween 2014 and 2021, the age at initiation of e-cigarette use decreased, and intensity of use and addi
91 l use generally increased, whereas exclusive e-cigarette use decreased, collectively constituting no
93 linicians should monitor the health risks of e-cigarette use, discourage nonsmokers and adolescents f
95 s analysis found that, unlike cigarette use, e-cigarette use during late pregnancy was not statistica
96 to adverse neurodevelopmental outcomes, yet e-cigarette use during pregnancy continues to rise due t
97 ancy (aPR 0.95; 95% CI 0.88, 1.02); however, e-cigarette use during pregnancy was associated with hig
98 ed by nicotine, making it highly likely that e-cigarette use during pregnancy will have the same harm
100 time-varying and time-lagged associations of e-cigarette use during waves 2-4, with respiratory sympt
103 Acute exposure to flavored e-liquids or e-cigarette use exacerbates endothelial dysfunction, whi
105 h aged 12 to 17 years in 2019; prevalence of e-cigarette use, flavor/device combination used, and bra
108 icant, increase in the prevalence of current e-cigarette use (from 13.5% [95% CI, 12.3%-14.7%] to 14.
109 nificant increase in the prevalence of daily e-cigarette use (from 4.4% [95% CI, 3.8%-5.1%] to 6.6% [
110 als aged 18 to 20 years who reported current e-cigarette use had never used combustible cigarettes.
111 spiratory and cardiovascular consequences of e-cigarette use has become of increasing interest to the
118 nearly 1500 hospitalizations associated with e-cigarette use have been reported in 49 states and the
123 states and territories that provided data on e-cigarette use in 2017 (53 states and territories), 201
124 t that most youth who initiated or continued e-cigarette use in 2021 used flavor/device combinations
130 om 38.1% (current hookah use) to 58.3% (ever e-cigarette use), indicating substantial false-negative
131 condary analysis stratified by the timing of e-cigarette use initiation, existing users of e-cigarett
132 g initiation, but it remains unclear whether e-cigarette use is associated with continued cigarette s
134 es of observational studies demonstrate that e-cigarette use is not associated with smoking cessation
138 ilable evidence on the risks and benefits of e-cigarette use, large, randomized, controlled trials ar
139 osure, increasingly occurring as a result of e-cigarette use, may induce epigenetic changes that sens
141 of past 30-day cigarette, cigar product, or e-cigarette use, measured using geographically represent
142 sults suggest that like combustible tobacco, e-cigarette use might increase chemotherapy resistance,
143 ed when dual users transitioned to exclusive e-cigarette use; NNAL levels decreased by 96%, from a me
145 16.0%-24.8%) of middle school users reported e-cigarette use on 20 to 30 days within the past 30 days
146 neurodevelopmental consequences of maternal e-cigarette use on adult offspring behavior and neuroimm
150 ue-specific epigenetic effects of tobacco or e-cigarette use on DNA methylation (DNAme) in over 3,500
151 have been used to study the effects of naive e-cigarette use on various organ systems; however, almos
152 garettes only, former smokers with long-term e-cigarette use only, former smokers with long-term nico
153 29, 95% CI 1.19 to 1.39, p < 0.001) and ever e-cigarette use (OR = 1.24, 95% CI 1.14 to 1.34, p < 0.0
155 age-adjusted prevalence of current and daily e-cigarette use overall and by participant characteristi
158 ce studies should further assess nonnicotine e-cigarette use patterns and regulations, and prevention
160 , whereas female individuals reported higher e-cigarette use prevalence than male individuals; (2) ru
161 han e-cigarettes; and (3) nicotine pouch and e-cigarette use prevalence was higher among 12th vs 10th
165 se acute results indicate that cigarette and e-cigarette use results in significantly different breat
166 strong association at the individual level, e-cigarette use seems to have had a minimal association
167 ameters were significantly higher during the e-cigarette use sessions with 3% or 2.4% nicotine concen
168 These variables included smoking history, e-cigarette use, sociodemographics, lifestyle factors, i
173 ation on the cardiopulmonary consequences of e-cigarette use (vaping) in adolescents, to guide therap
175 esearch indicates that electronic cigarette (e-cigarette) use (vaping) among adolescents is associate
179 The age-standardized prevalence of current e-cigarette use was 6.9% (95% CI, 6.7%-7.1%), with almos
189 e cohort of young adults, former and current e-cigarette use was associated with higher odds of devel
191 Among cigarette experimenters (1 puff), ever e-cigarette use was associated with higher odds of ever
193 ared with never use of e-cigarettes, current e-cigarette use was associated with slightly lower fecun
195 evalence of current (past 30 days) and daily e-cigarette use was estimated for each year, and changes
196 slight decrease in the prevalence of current e-cigarette use was found between 2018 and 2020; this de
197 In 2019, the prevalence of self-reported e-cigarette use was high among high school and middle sc
198 the primary fully adjusted models, baseline e-cigarette use was independently associated with progre
199 smokers of cigarettes (100 cigarettes), ever e-cigarette use was negatively associated with 30-day (O
201 oduct-specific analyses showed that baseline e-cigarette use was positively associated with combustib
204 tory of established combustible tobacco use, e-cigarette use was statistically linked to more frequen
205 ne ever e-cigarette use, compared with never e-cigarette use, was 1.81 (95% CI, 1.03 to 3.18) for con
206 -level patterns in the prevalence of current e-cigarette use were heterogeneous, with states like Mas
207 dults (aged >=25 years) who reported current e-cigarette use were more likely to report former or cur
208 erification of abstinence, and definition of e-cigarette use) were also not associated with the overa
209 aged 13 to 17 years who reported past 30-day e-cigarette use, were interested in quitting within 30 d
210 on genetic vulnerability to both smoking and e-cigarette use, which may reflect a broad risk-taking p
214 no statistically significant associations of e-cigarette use with wheeze after adjustment for cigaret
215 e association of youth electronic cigarette (e-cigarette) use with subsequent cigarette smoking initi
216 tioned from exclusive cigarette to exclusive e-cigarette use, with a 92% decrease in NNAL, from a mea
217 here was a consistently higher prevalence of e-cigarette use, with more than 18.6% reporting current
218 equency of combustible cigarette smoking and e-cigarette use within the past 30 days (0 days [none],