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1 s of nanoparticles contained in each puff of smoke.
2 (<1 day of aging) to old (>3 days of aging) smoke.
3 associated with minimal exposure to tobacco smoke.
4 is increase is further elevated by cigarette smoking.
5 e a biomarker for fetal exposure to maternal smoking.
6 , particularly in combination with cigarette smoking.
7 5) after adjustment for gender, age, BMI and smoking.
8 eages, and define cell-specific responses to smoking.
9 might influence lung function via effects on smoking.
10 ts (45.2%) reported a pre-surgery history of smoking.
11 lar to and disparate from those of cigarette smoking.
12 diseases, especially physical inactivity and smoking.
15 risk factors (odds ratio(PRS+family history+smoking), 1.24 [95% CI, 1.14-1.35]; P(PRS)=1.27x10(-6)).
16 e obese, 8.7% had depression, 19.5% reported smoking, 16.1% reported drug use, and 10.9% reported har
19 oconus was associated with regular cigarette smoking (38.5% vs. 14.6%; P = 0.04), but showed no assoc
22 io, 2.96; 95% CI, 2.00 to 4.40), and current smoking (9.4%, vs. 5.6% among former smokers or nonsmoke
24 ing during pregnancy, and some start to quit smoking after being pregnant, although existing guidelin
25 sk and PM in smoke decrease as a function of smoke age by up to 72% from fresh (<1 day of aging) to o
26 2.757 [1.616-4.704], p < 0.001) and tobacco smoking (aHR = 2.150 [1.319-3.503], p < 0.01) were posit
27 ly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average
28 also examined DNA methylation predictors of smoking, alcohol, body mass index, serum proteins, and c
29 for age, race/ethnicity, education, income, smoking, alcohol, menopausal hormone therapy, and hyster
32 ung cancer and there is strong evidence that smoking also increases the risk of several other cancers
38 in support of a causal relationship between smoking and alcohol consumption and 19 site-specific can
41 to examine the association of the timing of smoking and doses of smoking before pregnancy and during
42 3 mortality clocks up to 5 years, driven by smoking and elevated levels of 6 age-associated proteins
46 sed risk of ADA development, whereas tobacco smoking and infections during the study were associated
47 rt the well-established relationship between smoking and lung cancer and suggest that smoking may als
48 after adjustment for deprivation, ethnicity, smoking and obesity: adjusted HR 2.59 (95% CI 1.74-3.84;
50 ssociation between genetic predisposition to smoking and prostate cancer in the Prostate Cancer Assoc
51 nal silica exposure and the joint effects of smoking and silica exposure on lung cancer risks.Methods
53 he relationship between in utero exposure to smoking and the heightened risks for the subsequent deve
56 hods of measuring injunctive and descriptive smoking and vaping norms: (1) incentivized experiments,
57 l body mass index, be physically active, not smoke, and avoid nonsteroidal anti-inflammatory drug use
59 ts, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persiste
62 iations with sociodemographic, reproductive, smoking, and housing characteristics over a 40-y period.
65 hat were significant for both Cd and current smoking (annotated to PRSS23, AHRR, F2RL3, RARA, and 2q3
66 diabetes (aOR 3.1; 95% CI: 1.7-5.8), current smoking (aOR 3.1; 95% CI: 2.2-4.4) and prolonged history
67 cohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL),
70 s) for lung cancer incidence by sex, tobacco smoking, asbestos exposure, presence of asbestosis, and
71 on of SARS-CoV2 through aerosolized surgical smoke associated with energy device use is not fully und
72 first investigated the causal effects of 474 smoking-associated CpGs on forced expiratory volume in 1
75 med to provide a comprehensive assessment of smoking-associated gene expression changes in healthy pa
76 We find that most of the highly reproducible smoking-associated hypomethylation signatures are more p
80 iation of the timing of smoking and doses of smoking before pregnancy and during the first or second
83 independently replicated the association of smoking behavior with CAD (OR 1.24, 95% CI: 1.12-1.37, P
85 ith (self-reported and objectively measured) smoking behavior/intentions were inspected in another st
88 per standard deviation increase in lifetime smoking behaviour) and an independent causal effect of a
96 cant benefits of medication on likelihood of smoking cessation in 2 trials of bupropion at 26 weeks (
97 sk population and to determine the effect of smoking cessation in this genotype.Methods: We prospecti
100 SZ registry data to determine the effect of smoking cessation on spirometry decline (n = 60) and pla
101 ful in promoting healthier behaviors such as smoking cessation or in aiding persons with a family his
102 een behavioral interventions and controls in smoking cessation when trials were restricted to smokers
103 terventions such as lowering blood pressure, smoking cessation, and lifestyle optimisation are common
104 Smoking behaviors, including amount smoked, smoking cessation, and tobacco-related diseases, are alt
110 elial morphology, including IL-13, cigarette smoke condensate, and retinoic acid deficiency, at conce
113 al cancer (LC) patients who meet the age and smoking criteria of the U.S. Preventive Services Task Fo
116 ociation study of urine Cd and self-reported smoking (current and former vs. never, and cumulative sm
118 of deaths among smokers are avoidable at non-smoking death rates, and former smokers have about only
119 nd chronic cancer HAPs health risk and PM in smoke decrease as a function of smoke age by up to 72% f
122 al regression models adjusted for age, race, smoking, diet, alcohol, physical activity, menopausal ho
124 current and former vs. never, and cumulative smoking dose) with blood DNAm in 790,026 CpGs (methylati
127 hermore, we studied interactions of PRS with smoking during pregnancy and childhood life events in re
128 al weight gain, diet, physical activity, and smoking during pregnancy to create a lifestyle score ran
129 he women who smoke before pregnancy continue smoking during pregnancy, and some start to quit smoking
130 entury hazards reveal that smokers who start smoking early in adult life and do not quit lose a decad
132 king EWAS results in blood, to identify DNAm smoking effects that are unique (tissue-specific) vs. sh
133 e extended our NAc findings, using published smoking EWAS results in blood, to identify DNAm smoking
136 hand smoke for 8 wk, followed by a period of smoke exposure cessation, and the mice were immunized wi
138 at avoiding childhood/adolescence secondhand smoke exposure promotes adulthood cognitive function.
139 notypes in subjects with significant tobacco smoke exposure using deep gene resequencing and alpha-1
140 ine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated
144 risk factors (primary and secondhand tobacco smoke exposures, occupational and environmental pollutan
151 position, BMI, physical activity level, and smoking habit, as well as when participants without card
152 aimed to investigate the association between smoking habits (focusing on the age when smokers started
153 ise, walking/cycling, height, energy intake, smoking habits, baseline Charlson's weighted comorbidity
157 is was associated with antenatal exposure to smoking, higher maternal education levels, and wheezing
160 edian body mass index 47 kg/m) self-reported smoking history pre-surgery, and current smoking behavio
161 orating tumor staging, treatment status, and smoking history revealed that treatment status had the m
163 ignificant changes about lung function test, smoking history, sex and the levels of D-dimer among two
166 sex (HR 2.52, 95% CI 1.04-6.10), history of smoking (HR 3.42, 95% CI 1.40-8.45), and thymic abnormal
168 iable risk factors assessed at baseline were smoking, hypertension, diabetes, obesity and physical in
169 factors, diabetes, underlying lung disease, smoking, immunosuppressed condition, and baseline diseas
170 xists on the adult hazards of having started smoking in childhood and, especially, in early childhood
171 t epigenome-wide association study (EWAS) of smoking in human postmortem brain, focusing on nucleus a
173 ody mass index z scores, maternal education, smoking in pregnancy, and prenatal particulate matter wi
174 echanisms of Networks and Norms Influence on Smoking in Schools (MECHANISMS) study baseline data, fro
175 red to nonsmoking during pregnancy, quitting smoking in the first trimester is associated with the sa
176 port a model whereby genetic determinants of smoking increase type 2 diabetes risk indirectly through
177 ng cancer screening with CT require detailed smoking information and miss many incident lung cancers.
188 of alcohol consumption when controlling for smoking (IVW OR 2.1, 95% CI = 1.1, 3.8 per standard devi
189 ed at both time points for prenatal parental smoking, life events, and negative affect and substance
190 , a positive family history of dementia, non-smoking, low alcohol consumption, depression, daytime so
191 rijuana is becoming increasingly potent, and smoking marijuana carries many of the same cardiovascula
192 een smoking and lung cancer and suggest that smoking may also be a risk factor for cancer of the head
197 Other smoking phenotypes, such as current smoking, may be suitable for future Mendelian randomisat
199 of HNC was 7.61% for a 60-year-old woman who smoked more than 20 cigarettes per day for over 20 years
200 nutrient intake, participants from Barcelona smoked more, were less educated, and had lower baseline
203 In conclusion, perceived descriptive non-smoking norms are not held by the majority of adults in
206 lation did not clearly mediate the effect of smoking on FEV(1), although DNA methylation at some site
208 etic variants interacting with pack-years of smoking on FEV(1)/FVC ratios in individuals with normal
209 e consider the possible effects of cigarette smoking on homocysteine levels, with self-reported smoki
210 t focused on explaining the ramifications of smoking on maternal and child health was effective and f
211 limited evidence for a meaningful effect of smoking on MS susceptibility as measured using summary s
213 evidence for an independent causal effect of smoking on oral/oropharyngeal cancer (IVW OR 2.6, 95% CI
215 nonsmoking mothers, maternal first trimester smoking only was not associated with adverse birth outco
216 trated that COPD at baseline, but not former smoking or AAT concentrations, predicted greater spirome
219 associations were not modified by age, BMI, smoking, or red meat intake (All P(interaction) > 0.055)
220 raised blood glucose, raised blood pressure, smoking, overweight, and obesity) at the household, comm
221 x (P = 0.68), level of education (P = 0.26), smoking (P = 0.11), alcohol consumption (P = 0.52), hist
222 PAF 16.5% ELSA; 16.7% SIGa-Bage) and current smoking (PAF 4.9% for both cohorts) having the strongest
223 was carried out, adjusting for maternal age, smoking, parity, ethnicity, neonate sex, and predicted c
224 mized crossover design, nontreatment seeking smoking participants (N = 30) completed two imaging sess
226 findings provide new insights into how wood smoke particulate matter and other transient receptor po
227 status, pack-years, years as a smoker, packs smoked per day, and hours as a passive smoker per week.
228 de association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Milli
233 prevalence of elevated blood pressure, lower smoking rates, and lower prevalence of elevated choleste
236 increase the risk of tobacco dependence and smoking-related diseases in human smokers.SIGNIFICANCE S
239 signalling in young and aged mice disrupted smoking-related inducible bronchus-associated lymphoid t
240 Decreased lung CYP2A expression may alter smoking-related lung cancer risk and tissue damage from
242 on, after adjusting for alcohol consumption, smoking retained its association with several CVD outcom
243 the extent that rapid brain uptake promotes smoking reward, E-cigs might maintain a degree of nicoti
244 e in PRS), independent of family history and smoking risk factors (odds ratio(PRS+family history+smok
246 ation) and maternity (maternal age, maternal smoking, sex-gestation-specific birth weight centile, ge
248 for BMI, and xenobiotic stimuli response for smoking, showed >1.5 times larger associations with >95%
250 cells; 3) ACE2 is upregulated in the SAE by smoking, significantly in men; 4) levels of miR-1246 exp
251 weight loss in late life, physical exercise, smoking, sleep, cerebrovascular disease, frailty, atrial
253 mass and volume of the particles from either smoke source are comprised of semi-volatile compounds.
255 rvals (CIs) of preterm birth associated with smoking status and the number of cigarettes consumed, ad
256 health outcomes were found between different smoking status groups, suggesting that smoking/vaping pr
261 h radiomic and clinical features (gender and smoking status) reached a diagnostic accuracy of 88.1% i
266 urements were investigated, including active smoking status, pack-years, years as a smoker, packs smo
267 , family history of gastrointestinal cancer, smoking status, previous negatives and whether a GP had
268 aphics, year of consultation, comorbidities, smoking status, recent hospitalizations, recent accident
269 haracterized by differences in asthma onset, smoking status, residential locations, percentage of blo
270 x, body mass index, race, surgical approach, smoking status, Zubrod and American Society of Anesthesi
273 ance imaging data from healthy and cigarette-smoking subjects performing the Iowa Gambling Task.
274 the offspring of smokers are more likely to smoke than the offspring of nonsmokers, this sets the st
276 ery day about 1600 youth aged 12 to 17 years smoke their first cigarette and that about 5.6 million a
277 ear regression models adjusted for age, sex, smoke, time living in Sao Paulo, daily commuting, socioe
280 is approach to study the causal pathway from smoking to overall survival among lung cancer patients p
281 pliffs (95%CI: 0.605-0.988); those who never smoked tobacco and did not use spliffs (95%CI: 0.489-0.8
282 nt within 60 minutes after waking: those who smoked tobacco and used spliffs (95%CI: 0.605-0.988); th
283 pliffs (95%CI: 0.489-0.892); those who never smoked tobacco and used spliffs (95%CI:0.022-0.915).
286 tion; epithelial colonization; and cigarette smoke toxin exposure; as well as to elucidate genes requ
288 .6%) is genetically correlated with 18 other smoking traits (r(g) = 0.40-1.09) and co-morbidities.
289 rogram (MVP) where we identified 18 loci for smoking trajectory of current versus never in European A
290 erent smoking status groups, suggesting that smoking/vaping produces differential effects on oral hea
293 sociated with compassion satisfaction, while smoking was a negative factor; these five factors explai
296 A strong exposure-response relationship with smoking was found both in males [IRR, 1-pack-year increa
298 icans, and 90 Hispanics with >=20 pack-years smoking were resequenced for the identification of rare
300 and without nicotine aerosolized at 40 W (E-smoke) with respect to particle number concentrations, c