ライフサイエンスコーパス: smoking

1 is increase is further elevated by cigarette smoking.

2 e a biomarker for fetal exposure to maternal smoking.

3 , particularly in combination with cigarette smoking.

4 5) after adjustment for gender, age, BMI and smoking.

5 eages, and define cell-specific responses to smoking.

6 might influence lung function via effects on smoking.

7 ts (45.2%) reported a pre-surgery history of smoking.

8 ith or without airflow obstruction is active smoking.

9 smoking status, and pack-years of cigarette smoking.

10 ing, and 16 also had information on paternal smoking.

11 phenotype that expands genetic knowledge of smoking.

12 lar to and disparate from those of cigarette smoking.

13 ed almost all of the excess mortality due to smoking.

14 for all confounding factors such as maternal smoking.

15 diseases, especially physical inactivity and smoking.

16 risk factors (odds ratio(PRS+family history+smoking), 1.24 [95% CI, 1.14-1.35]; P(PRS)=1.27x10(-6)).

17 e obese, 8.7% had depression, 19.5% reported smoking, 16.1% reported drug use, and 10.9% reported har

18 Female sex (OR 2.3, 95% CI 1.5 to 3.7), smoking (2.1, 1.2 to 3.6) and hypertension (1.6, 1.0 to

19 Alcohol consumption and smoking, 2 major risk factors for cardiovascular disease

20 king and high-risk oral HPV: odds ratios for smoking 3.46 (95% confidence interval [CI], 1.01-11.94)

21 oconus was associated with regular cigarette smoking (38.5% vs. 14.6%; P = 0.04), but showed no assoc

22 microbiome(4), by lifestyle choices such as smoking(5), or by diet(6).

23 ple with addictions such as alcohol abuse or smoking(6,7).

24 Females had a lower rate of smoking (62 vs 73%) and heavy alcohol use (12 vs 19%) bu

25 io, 2.96; 95% CI, 2.00 to 4.40), and current smoking (9.4%, vs. 5.6% among former smokers or nonsmoke

26 Smoking accounted for a quarter of all premature deaths

27 However, smoking addiction assessed by the Fagerstrom test for ni

28 ing during pregnancy, and some start to quit smoking after being pregnant, although existing guidelin

29 2.757 [1.616-4.704], p < 0.001) and tobacco smoking (aHR = 2.150 [1.319-3.503], p < 0.01) were posit

30 d tested the association of RBA with tobacco smoking, alcohol consumption, and genetic variants.

31 ly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average

32 also examined DNA methylation predictors of smoking, alcohol, body mass index, serum proteins, and c

33 for age, race/ethnicity, education, income, smoking, alcohol, menopausal hormone therapy, and hyster

34 Former smoking alone is not associated with greater spirometry

35 Smoking also causes chronic obstructive pulmonary diseas

36 ung cancer and there is strong evidence that smoking also increases the risk of several other cancers

37 The relationship between smoking amount and the risk of overweight or obesity was

38 g on homocysteine levels, with self-reported smoking and a cotinine biomarker.

39 in support of a causal relationship between smoking and alcohol consumption and 19 site-specific can

40 d dementia, but research on the link between smoking and brain structure is nascent.

41 udy identifies distinct associations between smoking and brain structure, highlighting potential mech

42 ould help to explain the association between smoking and diabetes risk.

43 to examine the association of the timing of smoking and doses of smoking before pregnancy and during

44 3 mortality clocks up to 5 years, driven by smoking and elevated levels of 6 age-associated proteins

45 Smoking and exposure to toxic metals are risk factors fo

46 h the responsiveness of ECFCs to FIR include smoking and gender.

47 Finally, genetic risks for smoking and high blood pressure, the two main clinical r

48 positively modified the association between smoking and high-risk oral HPV: odds ratios for smoking

49 sed risk of ADA development, whereas tobacco smoking and infections during the study were associated

50 rt the well-established relationship between smoking and lung cancer and suggest that smoking may als

51 This correlated with significantly higher smoking and male smokeless tobacco use in most Appalachi

52 that has been associated with both cigarette smoking and mortality.Objectives: We sought to identify

53 ers with current smokers by age they started smoking and number of cigarettes smoked per day and with

54 after adjustment for deprivation, ethnicity, smoking and obesity: adjusted HR 2.59 (95% CI 1.74-3.84;

55 studies from Europe and Canada with detailed smoking and occupational histories were pooled.

56 ssociation between genetic predisposition to smoking and prostate cancer in the Prostate Cancer Assoc

57 nal silica exposure and the joint effects of smoking and silica exposure on lung cancer risks.Methods

58 ification by study areas, and adjustments of smoking and solid fuel use.

59 he relationship between in utero exposure to smoking and the heightened risks for the subsequent deve

60 No association was found between smoking and the number of vessel wall lesions.

61 ral economic methods of eliciting adolescent smoking and vaping norms.

62 hods of measuring injunctive and descriptive smoking and vaping norms: (1) incentivized experiments,

63 All 28 cohorts had information on maternal smoking, and 16 also had information on paternal smoking

64 ts, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persiste

65 er log CES-D or PHQ-2 adjusted for age, sex, smoking, and diabetes were reported.

66 ucation, blood pressure, cholesterol levels, smoking, and diabetes with the AD phenome.

67 Age, sex, dyslipidemia, hypertension, smoking, and family history of premature cardiovascular

68 Obesity, tobacco smoking, and genetic predisposition increase the risk of

69 and, including through drugs misuse, tobacco smoking, and homelessness.

70 iations with sociodemographic, reproductive, smoking, and housing characteristics over a 40-y period.

71 s (depression, obesity, harmful alcohol use, smoking, and illicit drug use; n = 4,917).

72 ene exposure can come from inhalation, diet, smoking, and more recently, using e-cigarettes.

73 ody mass index, alcohol consumption, tobacco smoking, and physical activity.

74 nstipation, physical activity, possible RBD, smoking, and subthreshold parkinsonism.

75 hat were significant for both Cd and current smoking (annotated to PRSS23, AHRR, F2RL3, RARA, and 2q3

76 diabetes (aOR 3.1; 95% CI: 1.7-5.8), current smoking (aOR 3.1; 95% CI: 2.2-4.4) and prolonged history

77 cohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL),

78 Cigarette or marijuana smoking are infrequently criteria for exclusion, althoug

79 model (base) and conditional model including smoking as a cofactor were investigated.

80 60-77% of adults (17-48% of smokers) viewing smoking as something of which others disapproved.

81 s) for lung cancer incidence by sex, tobacco smoking, asbestos exposure, presence of asbestosis, and

82 first investigated the causal effects of 474 smoking-associated CpGs on forced expiratory volume in 1

83 Highly reproducible smoking-associated DNA methylation changes in whole bloo

84 Whether smoking-associated DNA methylation has a causal effect o

85 med to provide a comprehensive assessment of smoking-associated gene expression changes in healthy pa

86 We find that most of the highly reproducible smoking-associated hypomethylation signatures are more p

87 Smoking-associated LUADs showed correlation with other e

88 Smoking at time of implant placement emerged as a new ri

89 iation of the timing of smoking and doses of smoking before pregnancy and during the first or second

90 y recommend that women who smoke should quit smoking before pregnancy.

91 be strongly encouraged and supported to quit smoking before pregnancy.

92 ted smoking history pre-surgery, and current smoking behavior annually.

93 independently replicated the association of smoking behavior with CAD (OR 1.24, 95% CI: 1.12-1.37, P

94 d by additional risk factors correlated with smoking behavior, which have not been investigated.

95 ith (self-reported and objectively measured) smoking behavior/intentions were inspected in another st

96 socioeconomic, and sex-based differences in smoking behaviors or lung cancer risk.

97 Smoking behaviors, including amount smoked, smoking cess

98 per standard deviation increase in lifetime smoking behaviour) and an independent causal effect of a

99 qually correlated with life expectancy, with smoking being significantly worse than others.

100 ng for age, sex, ethnicity, education level, smoking, BMI, and diabetes.

101 We adjusted for age, smoking, body mass index, physical activity, alcohol con

102 The rates of tobacco smoking by people living with HIV vastly exceed that of

103 Tobacco smoking causes lung cancer(1-3), a process that is drive

104 n of substrates for the design of innovative smoking cessation aids.

105 cant benefits of medication on likelihood of smoking cessation in 2 trials of bupropion at 26 weeks (

106 sk population and to determine the effect of smoking cessation in this genotype.Methods: We prospecti

107 This smoking cessation intervention for expectant fathers tha

108 Smoking cessation is important in patients with tubercul

109 SZ registry data to determine the effect of smoking cessation on spirometry decline (n = 60) and pla

110 ful in promoting healthier behaviors such as smoking cessation or in aiding persons with a family his

111 garettes) have been proposed as an effective smoking cessation tool.

112 een behavioral interventions and controls in smoking cessation when trials were restricted to smokers

113 terventions such as lowering blood pressure, smoking cessation, and lifestyle optimisation are common

114 Smoking behaviors, including amount smoked, smoking cessation, and tobacco-related diseases, are alt

115 group received a leaflet with information on smoking cessation.

116 Rs provide a promising novel drug target for smoking cessation.

117 Most participants reported smoking cigarettes; few smoked only cigars.

118 otine kinetics were compared with those from smoking combustible cigarettes (C-cigs).

119 s of e-cigarette users who successfully quit smoking continued to use e-cigarettes.

120 In an effort to decrease the rates of smoking conventional tobacco cigarettes, electronic ciga

121 al cancer (LC) patients who meet the age and smoking criteria of the U.S. Preventive Services Task Fo

122 Cigarette smoking (CS) can exacerbate the incidence and severity o

123 s), and a cue-reactivity session (to measure smoking cues vs. neutral cues elicited craving).

124 ociation study of urine Cd and self-reported smoking (current and former vs. never, and cumulative sm

125 of deaths among smokers are avoidable at non-smoking death rates, and former smokers have about only

126 and vascular risk factors (body mass index, smoking, diabetes mellitus and total cholesterol).

127 al regression models adjusted for age, race, smoking, diet, alcohol, physical activity, menopausal ho

128 d risk of colorectal cancer due to cigarette smoking differed by anatomical subsite or sex.

129 A1) were measured in human LFs isolated from smoking donors, in mouse primary LFs exposed to nicotine

130 current and former vs. never, and cumulative smoking dose) with blood DNAm in 790,026 CpGs (methylati

131 hermore, we studied interactions of PRS with smoking during pregnancy and childhood life events in re

132 al weight gain, diet, physical activity, and smoking during pregnancy to create a lifestyle score ran

133 he women who smoke before pregnancy continue smoking during pregnancy, and some start to quit smoking

134 entury hazards reveal that smokers who start smoking early in adult life and do not quit lose a decad

135 ined baseline data on body mass index (BMI), smoking, education, and previous disorders.

136 king EWAS results in blood, to identify DNAm smoking effects that are unique (tissue-specific) vs. sh

137 e extended our NAc findings, using published smoking EWAS results in blood, to identify DNAm smoking

138 Smoking expectant fathers who registered with their preg

139 sequencing (RNA-seq) on prenatal (N = 33; 16 smoking-exposed) as well as adult (N = 207; 57 active sm

140 Smoking exposure during the prenatal period was directly

141 We studied the association of Cd and smoking exposures with human blood DNA methylation (DNAm

142 table intake ameliorating effects of alcohol-smoking-fatty food.

143 men and > 30 g/day for men was combined with smoking habit (OR = 7.30 [95% CI: 6.1-8.73]).

144 position, BMI, physical activity level, and smoking habit, as well as when participants without card

145 aimed to investigate the association between smoking habits (focusing on the age when smokers started

146 sceptible to COVID-19 given their older age, smoking habits, and pre-existing cardiopulmonary comorbi

147 ise, walking/cycling, height, energy intake, smoking habits, baseline Charlson's weighted comorbidity

148 , female sex, use of oral contraceptives and smoking habits.

149 The average age at which people start smoking has been decreasing in many countries, but insuf

150 Smoking has been widely studied as a susceptibility fact

151 Conversely, smoking heightened the inflammatory response evident by

152 is was associated with antenatal exposure to smoking, higher maternal education levels, and wheezing

153 Amongst women with >=20 pack year smoking history (n = 19,286), 2148 (11.1%) had premature

154 Additional stratified analyses by smoking history and lung cancer subtypes were performed

155 Disease stage and smoking history are often used in current clinical trial

156 edian body mass index 47 kg/m) self-reported smoking history pre-surgery, and current smoking behavio

157 orating tumor staging, treatment status, and smoking history revealed that treatment status had the m

158 A positive smoking history was encountered in 57.5% of cases and in

159 med by statistically adjusting atopy status, smoking history, and disease duration.

160 ignificant changes about lung function test, smoking history, sex and the levels of D-dimer among two

161 for stage, human papillomavirus status, and smoking history.

162 f colonoscopy, age, sex, race/ethnicity, and smoking history.

163 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

164 ,548) at Y7 were associated with black race, smoking, hypertension, and higher body mass index.

165 iable risk factors assessed at baseline were smoking, hypertension, diabetes, obesity and physical in

166 factors, diabetes, underlying lung disease, smoking, immunosuppressed condition, and baseline diseas

167 However, how smoking impacts the development of brain metastasis rema

168 xists on the adult hazards of having started smoking in childhood and, especially, in early childhood

169 t epigenome-wide association study (EWAS) of smoking in human postmortem brain, focusing on nucleus a

170 cting responses to nicotine in zebrafish and smoking in humans.

171 ody mass index z scores, maternal education, smoking in pregnancy, and prenatal particulate matter wi

172 echanisms of Networks and Norms Influence on Smoking in Schools (MECHANISMS) study baseline data, fro

173 red to nonsmoking during pregnancy, quitting smoking in the first trimester is associated with the sa

174 port a model whereby genetic determinants of smoking increase type 2 diabetes risk indirectly through

175 ng cancer screening with CT require detailed smoking information and miss many incident lung cancers.

176 is study include the self-report of parental smoking information and the possibility of residual conf

177 Genetic predisposition to smoking initiation was associated with statistically sig

178 d BhGLM were able to detect a rare haplotype-smoking interaction in this region.

179 Smoking is a well-established cause of lung cancer and t

180 Cigarette smoking is associated with increased risk for myriad hea

181 elian randomisation methods, to test whether smoking is causal for ALS.

182 Smoking is considered a risk factor for periodontitis ge

183 Interaction between rs8192575 and smoking is significantly replicated with two additional

184 Cigarette smoking is the leading cause of preventable morbidity an

185 Nicotine addiction, through smoking, is the principal cause of preventable mortality

186 of alcohol consumption when controlling for smoking (IVW OR 2.1, 95% CI = 1.1, 3.8 per standard devi

187 ed at both time points for prenatal parental smoking, life events, and negative affect and substance

188 , a positive family history of dementia, non-smoking, low alcohol consumption, depression, daytime so

189 nting early stage, predominantly female, non-smoking lung adenocarcinoma.

190 rijuana is becoming increasingly potent, and smoking marijuana carries many of the same cardiovascula

191 een smoking and lung cancer and suggest that smoking may also be a risk factor for cancer of the head

192 s support that treating VRF and cessation of smoking may be important in the management of MS.

193 Persistent smoking may cause adverse outcomes among patients with c

194 In conclusion, smoking may cause suppression of appetite but smokers te

195 Maternal smoking may induce such long-term effects through persis

196 It is important to uncover whether smoking may modify the genetic risk of diabetes.

197 Other smoking phenotypes, such as current smoking, may be suitable for future Mendelian randomisat

198 A total of five smoking measurements were investigated, including active

199 th healthy lifestyle factors (defined as not smoking, never consuming alcohol, the low consumption of

200 This regulation by smoking/nicotine will increase interindividual variation

201 In conclusion, perceived descriptive non-smoking norms are not held by the majority of adults in

202 mokers who endorsed stronger descriptive non-smoking norms had increased odds of reporting high motiv

203 Injunctive non-smoking norms were more prevalent, with 60-77% of adults

204 A genetic predisposition, smoking, obesity and hormonal factors are established ae

205 lation did not clearly mediate the effect of smoking on FEV(1), although DNA methylation at some site

206 ether DNA methylation mediates the effect of smoking on FEV(1).

207 etic variants interacting with pack-years of smoking on FEV(1)/FVC ratios in individuals with normal

208 e consider the possible effects of cigarette smoking on homocysteine levels, with self-reported smoki

209 y little known about the effects of maternal smoking on human cortical biology during prenatal life.

210 t focused on explaining the ramifications of smoking on maternal and child health was effective and f

211 is needed to determine the causal effect of smoking on MS progression.

212 limited evidence for a meaningful effect of smoking on MS susceptibility as measured using summary s

213 We investigated effects of HIV and smoking on oral HPV risk.

214 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 erse variance weighted method were: lifetime smoking OR 0.94 (95% CI 0.74 to 1.19), p value 0.59; eve

217 94 (95% CI 0.74 to 1.19), p value 0.59; ever smoking OR 1.10 (95% CI 1 to 1.23), p value 0.05.

218 trated that COPD at baseline, but not former smoking or AAT concentrations, predicted greater spirome

219 cer was identified for the variables of sex, smoking or study design.

220 er of teeth <=14 (OR = 1.78; P = 0.034), and smoking (OR = 2.19; P = 0.001).

221 ed odds of reporting high motivation to stop smoking (OR(adj) = 1.63, 95%CI 1.06-2.52).

222 associations were not modified by age, BMI, smoking, or red meat intake (All P(interaction) > 0.055)

223 racy improved by 28.7% for BMI and 10.2% for smoking over a LASSO model, with age-, and tissue-specif

224 raised blood glucose, raised blood pressure, smoking, overweight, and obesity) at the household, comm

225 PLWH had greater proportions of smoking (P < .001) and comorbid illness than uninfected

226 x (P = 0.68), level of education (P = 0.26), smoking (P = 0.11), alcohol consumption (P = 0.52), hist

227 PAF 16.5% ELSA; 16.7% SIGa-Bage) and current smoking (PAF 4.9% for both cohorts) having the strongest

228 was carried out, adjusting for maternal age, smoking, parity, ethnicity, neonate sex, and predicted c

229 mized crossover design, nontreatment seeking smoking participants (N = 30) completed two imaging sess

230 de association study (GWAS) for longitudinal smoking phenotypes in 286,118 individuals from the Milli

231 Other smoking phenotypes, such as current smoking, may be suit

232 variates age, gender, occupational position, smoking, physical activity, and alcohol consumption were

233 Many adolescent smoking prevention programmes target social norms, typic

234 prevalence of elevated blood pressure, lower smoking rates, and lower prevalence of elevated choleste

235 Moreover, increases in smoking-related Cd exposure were associated with differe

236 verall density, supporting a role for IMs in smoking-related disease.

237 increase the risk of tobacco dependence and smoking-related diseases in human smokers.SIGNIFICANCE S

238 ases vulnerability to tobacco dependence and smoking-related diseases, but little is known about the

239 istically significant contributions of Cd to smoking-related DNAm.

240 ents alive today will die prematurely from a smoking-related illness.

241 signalling in young and aged mice disrupted smoking-related inducible bronchus-associated lymphoid t

242 Decreased lung CYP2A expression may alter smoking-related lung cancer risk and tissue damage from

243 Cigarette smoking remains one of the leading public health threats

244 on, after adjusting for alcohol consumption, smoking retained its association with several CVD outcom

245 the extent that rapid brain uptake promotes smoking reward, E-cigs might maintain a degree of nicoti

246 e in PRS), independent of family history and smoking risk factors (odds ratio(PRS+family history+smok

247 9 trials, n = 2516; 80.7% vs 84.1% continued smoking; RR, 0.97 [95% CI, 0.93-1.01]).

248 ation) and maternity (maternal age, maternal smoking, sex-gestation-specific birth weight centile, ge

249 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

252 We estimated sex- and smoking-specific incidence trends of pre-bronchodilator

253 % CI 1.53-2.21), male sex (1.63, 1.07-2.48), smoking status (former smoker vs never smoked: 1.60, 1.0

254 CAL) for six sites/tooth were ascertained by smoking status and plotted using contour maps to identif

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

257 We also examined the impact of smoking status on AGER (encodes RAGE) and TLR4 bronchial

258 compared to controls, independent of active smoking status or poor oral hygiene.

259 Smoking status was biochemically verified (exhaled air C

260 Smoking status was validated by cotinine assay.

261 h radiomic and clinical features (gender and smoking status) reached a diagnostic accuracy of 88.1% i

262 pitalizations differed according to baseline smoking status, alcohol intake, BMI, and diabetes status

263 for age, race, WIHS site, education, income, smoking status, and baseline ART regimen.

264 egression models adjusted for age, sex, BMI, smoking status, and hypertension.

265 , cholesterol levels, use of blood thinners, smoking status, and lens status also were evaluated.

266 adjusted for COPD status, age, sex, current smoking status, and pack-years of cigarette smoking.

267 ons with tumor types and subtypes, patients' smoking status, and the response to immunotherapy.

268 After adjustment for age, gender, smoking status, hepatitis C and hepatitis B virus coinfe

269 urements were investigated, including active smoking status, pack-years, years as a smoker, packs smo

270 , family history of gastrointestinal cancer, smoking status, previous negatives and whether a GP had

271 aphics, year of consultation, comorbidities, smoking status, recent hospitalizations, recent accident

272 haracterized by differences in asthma onset, smoking status, residential locations, percentage of blo

273 adjusting for potential confounders such as smoking status, sex, age, education level, and dental vi

274 x, body mass index, race, surgical approach, smoking status, Zubrod and American Society of Anesthesi

275 of pocket depth, gingival bleeding, ACH, and smoking status.

276 by PD-L1 expression, choice of platinum, and smoking status.

277 r age; sex; race/ethnicity; education; diet; smoking status; body mass index; self-reported health; m

278 ance imaging data from healthy and cigarette-smoking subjects performing the Iowa Gambling Task.

279 bly act as intermediates on the pathway from smoking to ALS.

280 We found smoking to be a risk factor for many CVDs even after adj

281 is approach to study the causal pathway from smoking to overall survival among lung cancer patients p

282 of the same cardiovascular health hazards as smoking tobacco.

283 e machine to simulate breathing behavior and smoking topography parameters such as puff time, inter-p

284 Conclusion Except for smoking, traditional common cardiovascular risk factors

285 .6%) is genetically correlated with 18 other smoking traits (r(g) = 0.40-1.09) and co-morbidities.

286 rogram (MVP) where we identified 18 loci for smoking trajectory of current versus never in European A

287 for hypertension, hyperlipidemia, cigarette smoking, type II diabetes mellitus, and end-stage renal

288 suring the same underlying construct of anti-smoking/vaping norms (Comparative Fit Index = 0.958, Tuc

289 erent smoking status groups, suggesting that smoking/vaping produces differential effects on oral hea

290 We report evidence for the role of smoking, vitamin D, and BMI in melanoma progression inde

291 Multivariable OR for current smoking was 1.93 (1.27-2.92), dyslipidemia OR=1.92 (1.41

292 sociated with compassion satisfaction, while smoking was a negative factor; these five factors explai

293 Our results suggest that smoking was associated with a reduction in human lung CY

294 Among nonsmoking mothers, paternal smoking was associated with childhood overweight (OR 1.2

295 Current smoking was associated with significantly lower AGER and

296 A strong exposure-response relationship with smoking was found both in males [IRR, 1-pack-year increa

297 Tobacco smoking was the major influence on mutational burden, ty

298 icans, and 90 Hispanics with >=20 pack-years smoking were resequenced for the identification of rare

299 Clinical observations have linked tobacco smoking with increased type 2 diabetes risk.

300 manifestations as measured by the Wisconsin Smoking Withdrawal Scale (P = 0.04) and Tobacco Craving