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1 or stimulant in tobacco products including e-cigarettes.
2 es were rated more favorably than lower-dose cigarettes.
3 safety of pure nicotine inhalation, i.e., E-cigarettes.
4 res derived from the smoke of machine-smoked cigarettes.
5 product profiles as compared to traditional cigarettes.
6 therwise healthy humans who habitually use e-cigarettes.
7 ies that maintain the availability of budget cigarettes.
8 rovide a close simulation of smoking tobacco cigarettes.
9 se a more severe danger to human health than cigarettes.
10 gated the neural correlates of decisions for cigarettes (0-10 cigarettes) at varying levels of price
11 eshold to those representative of commercial cigarettes (0.4, 2.3, 5.2, and 15.8 mg/g of tobacco) at
16 er nicotine delivery, an acute exposure to e-cigarette aerosol had a reduced impact on gene expressio
18 rentially expressed at the highest dose of e-cigarette aerosol using a looser threshold of pFDR < 0.0
20 cigars (LCs) are regulated differently than cigarettes, allowing them to be potentially targeted at
21 examination in a harmonized dataset of both cigarette and alcohol demand (N = 59) suggested common n
22 s of lower-dose cigarettes, but the 0.763-mg cigarettes and (even more so) conventional cigarettes we
24 ly, long-term dual users of both combustible cigarettes and e-cigarettes, and long-term users of both
27 en the rapid increase in the popularity of e-cigarettes and the paucity of associated longitudinal he
28 eased frequency of SSI in patients who smoke cigarettes and to confirm that smoking is significantly
29 words to capture concepts associated with e-cigarettes and traditional cigarettes in articles publis
32 l users of both combustible cigarettes and e-cigarettes, and long-term users of both combustible ciga
33 correlates of decisions for cigarettes (0-10 cigarettes) at varying levels of price during a Cigarett
35 recently turned to electronic cigarettes (e-cigarettes) because they have been marketed as a cheaper
37 respond differently to nicotine reduction in cigarettes, but that irrespective of metabolizer status,
38 no differences between ratings of lower-dose cigarettes, but the 0.763-mg cigarettes and (even more s
43 rence for higher over lower nicotine content cigarettes could be reversed by increasing the response
45 participants, those who smoked more than 20 cigarettes daily, current marijuana users, and those who
46 .) and smoking reduction (CO <8), as well as cigarettes/day (in Study 1), were assessed daily (Monday
47 ve salience, and interoceptive processing in cigarette decision making; and add to the literature imp
48 .4] years), reducing the nicotine content of cigarettes decreased the relative reinforcing effects of
51 ique, we found that every 70 mL puff of an e-cigarette deposited 0.019% e-liquid (v/v) in a controlle
57 y smokers have recently turned to electronic cigarettes (e-cigarettes) because they have been markete
60 Participants were asked about their use of cigarettes, e-cigarettes, traditional cigars, cigarillos
61 NRT-only use, and long-term dual combustible cigarette-e-cigarette or combustible cigarette-NRT users
62 bustible cigarette-NRT, and dual combustible cigarette-e-cigarette users had largely similar levels o
63 combustible cigarette-only, dual combustible cigarette-e-cigarette, or dual combustible cigarette-NRT
71 ), individuals exclusively vaping electronic cigarettes (group 2), and never-smokers (NSs) (group 3).
73 associated with e-cigarettes and traditional cigarettes in articles published from database inception
77 g why the quit rate among smokers of menthol cigarettes is lower than non-menthol smokers requires id
78 s (i.e., vapor plus particulate phases) of e-cigarettes is needed in order to better inform basic res
80 o the novelty of e-cigarettes (e-cigs) and e-cigarette liquids (e-liquids), research on their chemo-p
81 to further investigate the effects of the e-cigarette liquids (with and without nicotine) on the sam
83 metabolizer status, reductions to <0.763 mg/cigarette may contribute to temporary attentional defici
87 tte users and 19 self-identified non-tobacco cigarette, non-e-cigarette user control participants.
88 ustible cigarette-e-cigarette or combustible cigarette-NRT users (n = 36 to 37 per group; total n = 1
90 Combustible cigarette-only, dual combustible cigarette-NRT, and dual combustible cigarette-e-cigarett
91 c laboratory environment, however electronic cigarettes obviate many of these issues, and provide a c
94 ens, and toxins among smokers of combustible cigarettes only, former smokers with long-term e-cigaret
97 ormer smokers with long-term (>/=6 months) e-cigarette-only or NRT-only use, and long-term dual combu
99 oups were purposively recruited: combustible cigarette-only users, former smokers with long-term (>/=
100 adiene; and ethylene oxide) than combustible cigarette-only, dual combustible cigarette-e-cigarette,
102 , and long-term dual combustible cigarette-e-cigarette or combustible cigarette-NRT users (n = 36 to
103 ing initiation associated with ever use of e-cigarettes or past 30-day cigarette smoking associated w
104 cigarette-only, dual combustible cigarette-e-cigarette, or dual combustible cigarette-NRT users.
105 He is the author of 4 books, including The Cigarette Papers and Primer of Biostatistics He is also
106 t in both ex-smokers and current smokers for cigarettes per day (P for interactionex = 6.0 x 10(-8);
107 s found between whole-brain SUV and reported cigarettes per day (P<0.05), but no significant relation
108 nction traits share association signals with cigarettes per day and former smoking, substantially gre
111 ependence (DSM criteria), smoking 10 or more cigarettes per day, and a willingness to attempt smoking
112 ADHD symptoms with daily smoking, number of cigarettes per day, and nicotine dependence was greater
113 exposure (smoking status, smoking duration, cigarettes per day, pack-years smoked, time since smokin
114 the association of airflow obstruction with cigarettes per day, smoking duration, and pack-years did
116 receiving ABT-436 smoked significantly fewer cigarettes per week than those receiving placebo (p=0.04
118 ouths alike, used multiple tobacco products; cigarettes plus e-cigarettes was the most common combina
120 th reduced infant mortality, while increased cigarette price differentials were associated with highe
121 ssociations between median cigarette prices, cigarette price differentials, and infant mortality acro
123 e of euro1 (US $1.18) per pack in the median cigarette price was associated with a decline of 0.23 de
126 d the differential between these and minimum cigarette prices were obtained from Euromonitor Internat
129 arettes) at varying levels of price during a Cigarette Purchase Task (CPT) in male regular smokers (N
130 ssessed using concurrent choice testing, the Cigarette Purchase Task (CPT), and validated measures of
132 exhibited a heightened reward positivity to cigarette rewards relative to monetary rewards, and by a
135 regnant female C57BL/6J mice were exposed to cigarette smoke (100-150 mg/m(3)) or room air, and offsp
142 rted that gestational exposure to sidestream cigarette smoke (SS), or secondhand smoke, promoted nico
143 e of Interleukin 10 (il10)-deficient mice to cigarette smoke accelerated development of colitis and i
144 claim of correlation, the mechanism by which cigarette smoke alters normal breast epithelial cells an
145 nflammation and tissue remodeling induced by cigarette smoke and highlight another potential target t
148 In this study, we investigated the effect of cigarette smoke condensate (CSC) on the characteristics
152 um concentrations of 5 biomarkers related to cigarette smoke exposure.This metabolomics study shows a
153 tured with IL-17A in the presence/absence of cigarette smoke extract (CSE) and aeroallergens lacking
154 herefore, this study compares the effects of cigarette smoke extract (CSE) and smokeless tobacco extr
155 d the combined effects of ethanol (EtOH) and cigarette smoke extract (CSE) on ER stress and cell deat
158 extracellular proteins but was inhibited by cigarette smoke extract via oxidative disruption of acti
163 inexplicably rising and in utero exposure to cigarette smoke increases the risk of AA and bronchopulm
166 ammatory mediators and oxidants derived from cigarette smoke is known to promote coronary atheroscler
167 onchial epithelial cells (HBEC) confirm that cigarette smoke not only downregulates CFTR activity but
169 or control diet for 11 weeks and exposed to cigarette smoke or room air in an exposure chamber for 2
171 ducts.Benzo[a]pyrene (BP) is a carcinogen in cigarette smoke that upon metabolic activation reacts wi
175 of IPF patients, and in mice with bleomycin, cigarette smoke, silica, or sepsis-induced lung injury.
176 ated in an independent validation cohort, in cigarette smoke-exposed mice, and in human bronchial epi
183 tion was associated with a greater number of cigarettes smoked per day at follow-up (adjusted rate ra
184 novel smoking cues and reduced the number of cigarettes smoked per day by participants 1 month after
185 eptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistan
186 y intensity of smoking and vaping (number of cigarettes smoked per day, number of vaping episodes per
187 and self-perceived oral symptoms (OSs) among cigarette smokers (CSs) (group 1), individuals exclusive
188 ce imaging data from 20 moderately dependent cigarette smokers (mean age = 25 years; no history of ne
189 ain responses to external stimuli in chronic cigarette smokers compared with nonsmokers, only a few s
191 as validated by comparing blood levels among cigarette smokers from the National Health and Nutrition
194 Besides accelerating adult FEV1 decline, cigarette smoking also modifies how early-life exposures
195 , being unmarried, living in the rural area, cigarette smoking and alcohol drinking were associated w
200 study criteria, including no current tobacco cigarette smoking and no known health problems or prescr
201 e sought to describe a microRNA signature of cigarette smoking and relate it to smoking-associated cl
203 with ever use of e-cigarettes or past 30-day cigarette smoking associated with past 30-day e-cigarett
204 s, and the pooled odds ratio for past 30-day cigarette smoking at follow-up was 4.28 (95% CI, 2.52-7.
206 atus (surrogate of human papillomavirus) and cigarette smoking history (pack-years) randomly assigned
208 These combined negative effects suggest that cigarette smoking increases interleukin-18 levels throug
210 associated with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette s
211 ngitudinal studies reporting odds ratios for cigarette smoking initiation associated with ever use of
212 moking, the pooled odds ratio for subsequent cigarette smoking initiation was 3.62 (95% CI, 2.42-5.41
224 ed non-significant when adjusted for current cigarette smoking, alcohol consumption, and illicit drug
225 evalence of the five major HRBs-alcohol use; cigarette smoking, physical inactivity, unhealthy diet,
226 vy drinking, treatment attendance, drug use, cigarette smoking, psychiatric symptoms, and HIV-risk be
227 sychosocial, and behavioral risk factors for cigarette smoking, the pooled odds ratio for subsequent
228 A Cox model, adjusting for pack-years of cigarette smoking, was used to calculate hazard ratios a
241 haviors, particularly through differences in cigarette smoking; however, the association with fatal C
242 tes to the lung destruction that accompanies cigarette smoking; it simultaneously inhibits lung tumor
245 n aldehyde collection methods for electronic cigarettes, such as impingers and sorbent tubes containi
246 icated that LCs produced more chemicals than cigarettes, suggesting that the increased chemical load
247 he total formaldehyde produced in electronic cigarette that cannot be determined accurately by DNPH d
248 e a much less harmful alternative to tobacco cigarettes, there is concern as to whether long-term ECs
249 sideration to reduce the nicotine content of cigarettes to lower nicotine addiction potential in the
252 were asked about their use of cigarettes, e-cigarettes, traditional cigars, cigarillos, filtered cig
253 f e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking.
254 TIONALE: Rates of adolescent electronic (e-) cigarette use are increasing, but there has been little
256 rettes only, former smokers with long-term e-cigarette use only, former smokers with long-term nicoti
261 uency of combustible cigarette smoking and e-cigarette use within the past 30 days (0 days [none], 1-
262 38.1% (current hookah use) to 58.3% (ever e-cigarette use), indicating substantial false-negative ra
263 eath, hepatitis B and C seropositive status, cigarette use, diabetes, hypertension, terminal creatini
265 earch indicates that electronic cigarette (e-cigarette) use (vaping) among adolescents is associated
269 tudy including 23 self-identified habitual e-cigarette users and 19 self-identified non-tobacco cigar
270 ng initiation were 30.4% for baseline ever e-cigarette users and 7.9% for baseline never e-cigarette
271 s-sectional case-control study of habitual e-cigarette users and nonuser control individuals from 201
274 oxidation, was significantly increased in e-cigarette users compared with nonuser control individual
275 = .05) were significantly increased in the e-cigarette users compared with nonuser control participan
276 mponent was significantly decreased in the e-cigarette users compared with nonuser control participan
278 arette-NRT, and dual combustible cigarette-e-cigarette users had largely similar levels of TSNA and V
279 er, risk of bronchitic symptoms among past e-cigarette users remained elevated after adjustment for r
280 ting these inclusion criteria who were not e-cigarette users were eligible to be enrolled as control
281 3.62 (95% CI, 2.42-5.41) for ever vs never e-cigarette users, and the pooled odds ratio for past 30-d
282 day cigarette smokers who were past 30-day e-cigarette users, past 30-day cigarette smoking at follow
284 aldehyde concentrations of 626 mug/m(3) in e-cigarette vapor exceed the ACGIH maximum concentrations
285 st prevalent of the flavoring chemicals in e-cigarette vapor, being found in more than 60% of samples
287 s 4.28 (95% CI, 2.52-7.27) for past 30-day e-cigarette vs non-past 30-day e-cigarette users at baseli
290 ial between median-priced and minimum-priced cigarettes was associated with an increase of 0.07 death
293 g cigarettes and (even more so) conventional cigarettes were rated more favorably than lower-dose cig
295 y provide preliminary evidence that use of e-cigarettes with higher nicotine concentrations by youths
297 ant assessment of acute response to research cigarettes with nicotine content ranging from levels bel
299 abstinence, participants were exposed to the cigarettes with varying nicotine doses across fourteen 2
300 up) of 2015 to students who reported using e-cigarettes within the past 30 days and the nicotine conc
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