ライフサイエンスコーパス: smoking

1 ysical inactivity, and 4.8 years for current smoking.

2 smoking initiation and past 30-day cigarette smoking.

3 offer a lower risk alternative to cigarette smoking.

4 previously been found to be associated with smoking.

5 e, Barrett's esophagus, obesity, and tobacco smoking.

6 nvolved in the reinforcing effect of tobacco smoking.

7 e due to correlation between EA and maternal smoking.

8 the disease are differentially methylated by smoking.

9 d after overnight abstinence and again after smoking.

10 phageal reflux disease, central obesity, and smoking.

11 d rs1079597, with an adjustment for habitual smoking.

12 d educate patients regarding ocular risks of smoking.

13 el mimics human male reproductive effects of smoking.

14 te its efficacy during acute abstinence from smoking.

15 -a disorder that can be accompanied by heavy smoking.

16 modified by parity, latitude, fetal sex, or smoking.

17 ression with adjustment for age, gender, and smoking.

18 for > 60 pack-years of smoking versus never smoking.

19 current nicotine dependence (DSM criteria), smoking 10 or more cigarettes per day, and a willingness

20 tients about ocular diseases associated with smoking, 142 (49%) "seldom" or "never" ask patients who

21 women was 1.3% (95% CI 0.8-1.9) for tobacco smoking, 2.1% (1.1-3.4) for smokeless tobacco use, and 3

22 The prevalence of smoking (42.6% to 36.5%; RR = 0.86) and sedentary lifest

23 actions were seen in ventral striatum during smoking abstinence when subjects performed the monetary

24 otine infusion study that followed overnight smoking abstinence.

25 IOG were positively correlated with years of smoking across the smokers.

26 i (15q25.1 and 19q13.2) were associated with smoking adjusted lung function, and 15q25.1 reached geno

27 iations, with the exception of daily tobacco smoking (adjusted OR 1.74, 95% CI 1.08-2.81), any illici

28 s (adjusted OR, 7.3; P = .007), and parental smoking (adjusted OR, 3.8; P = .028).

29 We aimed at investigating how smoking affects blood DNA methylation in MS patients, by

30 for age, height, weight, pack-years, current smoking, age at completed full-time education, spiromete

31 to estimate hypothetical effects of habits (smoking, alcohol consumption, and fat and carbohydrates

32 dy mass index, socioeconomic position, diet, smoking, alcohol consumption, physical activity level, a

33 Excluding the factor of smoking, an exogenous source of glyoxal, levels of these

34 ts (OR 3.07 [95% CI 1.75-5.38; p=0.0001] for smoking and 3.97 [2.17-7.25; p<0.0001] for perianal dise

35 married, living in the rural area, cigarette smoking and alcohol drinking were associated with insomn

36 Several lifestyle factors, most notably smoking and alcohol, are associated with SP risk.

37 s significant relationships between maternal smoking and ASD risk.

38 s examining the association between maternal smoking and autism spectrum disorder (ASD) in offspring

39 n on the risks of nicotine dependence, heavy smoking and consequent lung cancer.

40 , this "risk paradox" is partly explained by smoking and disease-associated weight loss.

41 rvival across anatomic sites, independent of smoking and drinking history.

42 Frequency of combustible cigarette smoking and e-cigarette use within the past 30 days (0 d

43 ion of rs660895-G with PD, and suggests that smoking and HLA-DRB1 are involved in common pathways, po

44 actors alcohol consumption, body mass index, smoking and maternal smoking during pregnancy.

45 es examined the association between prenatal smoking and NEC-associated infant mortality rates with a

46 ortance of distinct contributing factors for smoking and non-smoking lung cancer.

47 Both smoking and non-smoking patients were studied, to determ

48 h lower total mortality after adjustment for smoking and other potential confounders (1 cup per day:

49 Smoking and perianal disease at baseline were independen

50 cts or from confounding influences shared by smoking and severe mental illness.

51 oms as children were more likely to initiate smoking and to start smoking younger.

52 ected men ages 40-60, independent of tobacco smoking and traditional risk factors.

53 Sociodemographic, mental/physical health, smoking and treatment characteristics (nicotine replacem

54 CVRF freedom was defined as no current smoking and untreated blood pressure <140/90 mm Hg, fast

55 >/=3 days [frequent]) and daily intensity of smoking and vaping (number of cigarettes smoked per day,

56 s in the United States, with inhalation (ie, smoking and vaping) being one of the most common routes

57 crease subsequent frequency and intensity of smoking and vaping.

58 uency and intensity of combustible cigarette smoking and vaping.

59 Smoking and vitamin A use was not associated significant

60 ions with seropositivity were similar across smoking and/or drinking exposure groups: HRfor low expos

61 ts who smoke about their willingness to quit smoking, and 249 (85%) "seldom" or "never" discuss poten

62 nd validate a novel approach to the study of smoking, and addiction more generally.

63 ss index, blood pressure, physical activity, smoking, and alcohol consumption) in late adolescence us

64 , race/ethnicity, education, marital status, smoking, and alcohol consumption.

65 nicity, modified Charlson comorbidity index, smoking, and alcohol use.

66 , educate patients regarding ocular risks of smoking, and discuss with patients smoking cessation opt

67 omoting oxidative stress: diabetes, obesity, smoking, and excessive pollution.

68 ere observed with poor oral hygiene, tobacco smoking, and oral cancer.

69 formed, all models were adjusted for age and smoking, and p-values were adjusted for false discovery.

70 .58) after adjustment for baseline LTL, age, smoking, and percentage of body fat.

71 levated blood pressure, physical inactivity, smoking, and poor glucose control) are associated with i

72 1.35, 0.09), controlling for sex, age, site, smoking, and race/ethnicity.

73 rted information on diet, physical activity, smoking, and stress during early pregnancy.

74 stinctive sensory and behavioural aspects of smoking, and understanding the neural effects of such pr

75 t, sedentary lifestyle, alcohol consumption, smoking, and urinary sodium excretion levels measured at

76 cal activity, diet, alcohol consumption, and smoking-and cognition, adjusting for demographic factors

77 e UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6 x 10(-4), OR=1.05, a

78 tus for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11

79 ood pressure (BP), adverse serum lipids, and smoking associate with cognitive deficits.

80 ears) of systolic BP, total-cholesterol, and smoking associated inversely with midlife visual and epi

81 Smoking-associated DNA hypomethylation has been observed

82 Thus, smoking-associated hypomethylation may be a consequence

83 data identifies the same cortical region for smoking behavior as found with fMRI data.

84 We leverage large data sets of smoking behavior, lung function and COPD, and addressed

85 We also studied 5 loci associated with smoking behavior.

86 n ages 43 and 60-64 years were influenced by smoking behavior.

87 boratory-based risk score included age, sex, smoking, blood pressure, diabetes, and total cholesterol

88 ulated population attributable fractions for smoking, body-mass index (BMI), physical activity, alcoh

89 We conclude that varenicline as a smoking cessation agent differs from nicotine through tr

90 RATIONALE: Smoking cessation counseling in conjunction with low-dos

91 risks of smoking, and discuss with patients smoking cessation options.

92 udies were included if they reported nurses' smoking cessation practices in relation to their persona

93 status (slow/normal metabolism) may improve smoking cessation rates.

94 slation (n=35), tobacco taxation (n=11), and smoking cessation services (n=3).

95 ettes per day, pack-years smoked, time since smoking cessation) as risk predictors.

96 gnificantly increased within 3-9 years since smoking cessation, and the significant association persi

97 nAChR PAM compound for possible efficacy in smoking cessation, in smokers with or without schizophre

98 her be studied in a larger clinical trial of smoking cessation.

99 reduction, increasing physical activity, and smoking cessation.

100 tential methods and resources to assist with smoking cessation.

101 rettes per day, and a willingness to attempt smoking cessation.

102 ) of alpha7 receptors, JNJ-39393406, may aid smoking cessation.

103 5 days a week, for 8 weeks, in a ventilated smoking chamber, or ambient air (controls).

104 In 17 patients and 10 age-matched non-smoking control subjects we examined brachial artery flo

105 Maternal smoking data were collected through parental interviews.

106 in cholesterol), and clinical variables (C) (smoking, diabetes mellitus, and peripheral arterial dise

107 Obesity, smoking, diabetes, hypertension, and cardiac and metabol

108 factors were measured at baseline (obesity, smoking, diabetes, prehypertension, hypertension, and hy

109 and hemorrhagic stroke, while hypertension, smoking, diet, and physical inactivity are among some of

110 arital status, material deprivation history, smoking, drinking and socioeconomic status, working-age

111 aspects of smoking exposure (smoking status, smoking duration, cigarettes per day, pack-years smoked,

112 Both maternal smoking during pregnancy and low birth weight have been

113 To examine the association between smoking during pregnancy and severe mental illness in of

114 methylation changes associated with maternal smoking during pregnancy have been described in placenta

115 strong support for a causal role of maternal smoking during pregnancy in offspring depression, rather

116 ailed to find support for a causal effect of smoking during pregnancy on risk of severe mental illnes

117 Maternal smoking during pregnancy was associated with risk of TD/

118 nown to be strongly associated with maternal smoking during pregnancy, and thus their association wit

119 level, cohabitation with a partner, height, smoking during pregnancy, and year of delivery.

120 had been exposed to their own mother's (F0) smoking during pregnancy, the offspring (F2) would be at

121 ption, body mass index, smoking and maternal smoking during pregnancy.

122 Exposure to maternal smoking during uterine life and low birth weight were in

123 A significant CYP2A6 genotype x smoking effect was found in the dorsal anterior cingulat

124 PMF factors to biomass burning, traffic, and smoking emission sources.

125 Besides smoking, epidemiological studies have linked female sex

126 evalent hypertension, diabetes mellitus, and smoking exist within states and within counties in the c

127 models considered age and various aspects of smoking exposure (smoking status, smoking duration, ciga

128 ere used to test the association between the smoking exposures and total number of deletions.

129 lation attributable fraction was highest for smoking, followed by physical inactivity then socioecono

130 the brain processes involved in (simulated) smoking for the first time, and validate a novel approac

131 although this was not independent of current smoking habit (P=0.1993).

132 tion practices in relation to their personal smoking habits.

133 ression was not associated with the maternal smoking habits.

134 168) was composed according to age, sex, and smoking habits.

135 Smoking had a significant effect on this association (Pi

136 lic risk factors with increased risk of HCC; smoking has a significant effect on this association.

137 unfavorable lifestyle factors were included: smoking, heavy alcohol use, unhealthy diet and physical

138 ls were adjusted for age, race or ethnicity, smoking, hepatitis C virus infection, alcohol use disord

139 ogate of human papillomavirus) and cigarette smoking history (pack-years) randomly assigned to clinic

140 nts with intracranial aneurysm (53.8%) had a smoking history vs 163 of 564 patients without intracran

141 of patient survival independent of age, sex, smoking history, and mutational load.

142 ing for clinical site, patient age, reported smoking history, body mass index (BMI), diabetes, HIV, a

143 re frequently observed in LUAD patients with smoking history.

144 alcohol intake, physical inactivity, current smoking, hypertension, diabetes, and obesity), and morta

145 ssion analyses adjusted for body mass index, smoking, hypertension, diabetes, and systemic steroid us

146 tors included body mass index >/=30, current smoking, hypertension, diabetes, and total cholesterol >

147 e 10), mental health problems, daily tobacco smoking, illicit drug use, and dependence were all more

148 radrenergic alpha2a agonist, reduced tobacco smoking in a 4-week trial and in animal models has been

149 ecreased the relative reinforcing effects of smoking in all 3 populations.

150 cotine pharmacokinetics resembling cigarette smoking in humans.

151 ractivity-impulsivity, on the development of smoking in male and female adolescents.

152 at perceived stress is associated with daily smoking in most countries.

153 Paternal grandmothers smoking in pregnancy showed no associations.

154 rs2270368 and rs17221417) that interact with smoking in relation to CD risk.

155 nteraction of a variant in NOD2 with current smoking in relation to the risk for CD (frameshift varia

156 ctical difficulties associated with subjects smoking in the modern neuroscientific laboratory environ

157 effective interventions to prevent paternal smoking in the presence of children would reduce LRTI-re

158 To address the hypothesis that smoking increases bronchial mucosal production of IL-17A

159 ltivariate analysis, only PV replication and smoking independently increased the risk of bladder canc

160 Paternal tobacco smoking independently increased the risk of LRTI 1.76-fo

161 ulate gene expression and may play a role in smoking-induced target organ damage.

162 group also had more diabetes, dyslipidemia, smoking, infarcts from small-vessel disease, and "other

163 pport of a causal effect of schizophrenia on smoking initiation (OR 1.01, 95% CI 0.98-1.04, p = 0.32)

164 Smoking initiation and escalation are affected different

165 ronment and genetic factors are critical for smoking initiation and nicotine addiction.

166 d with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette smoking.

167 tle evidence of a causal association between smoking initiation and schizophrenia, in either directio

168 evidence consistent with a causal effect of smoking initiation on schizophrenia risk (OR 1.73, 95% C

169 and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits.

170 Study-specific gene-smoking interaction effects were calculated and pooled u

171 Cigarette smoking is a leading cause of preventable mortality worl

172 Cigarette smoking is a risk factor for many perioperative complica

173 Smoking is a well-documented risk factor in various canc

174 Cigarette smoking is an established environmental risk factor for

175 Smoking is associated with a relatively homogenous distr

176 Purpose Cigarette smoking is associated with increased incidence of pancre

177 nts who smoke cigarettes and to confirm that smoking is significantly independently associated with S

178 halamic-mediated IC, gray-matter volume, and smoking lapse/relapse.

179 arrett's Esophagus score) based on male sex, smoking, length of BE, and baseline low-grade dysplasia

180 Male sex, smoking, length of BE, and baseline-confirmed low-grade

181 the risk of developing IBD including diets, smoking, lifestyle choices, enteric infections, appendec

182 However, the adverse events associated with smoking limit its clinical significance.

183 is prevalence was positively associated with smoking, lower levels of education, and income.

184 nct contributing factors for smoking and non-smoking lung cancer.

185 a use (great or moderate risk to health from smoking marijuana occasionally) and marijuana use (past

186 lving 807 incident lung cancer cases and 807 smoking-matched controls.

187 Our results suggest that tobacco smoking may alter the genetic susceptibility to overall

188 l approach of investigating population-level smoking metrics as moderators.

189 Our study shows that using population-level smoking metrics uncovers significant relationships betwe

190 ays, and shared seventeen genes with a mouse smoking model and twenty genes with previous emphysema s

191 binding studies, RNA-interference, a murine smoking model, and expression quantitative trait locus a

192 : Our study provides the first evidence that smoking modifies the previously reported inverse associa

193 Cigarette smoking more than doubled HSIL risk.

194 Neither smoking nor early-life exposures were associated with FV

195 Smoking, not meeting physical activity guidelines, and b

196 d implant-related factors (sex, patient age, smoking, number of remaining teeth, percentage of teeth

197 le risk factors include sedentary lifestyle, smoking, obesity, diabetes mellitus, obstructive sleep a

198 ed by high blood pressure, high cholesterol, smoking, obesity, physical inactivity, diabetes, and oth

199 OS was associated negatively with cumulative smoking (odds ratio [OR]: 0.992; 95% CI 0.984-1.000 per

200 in addition to inferring a causal effect of smoking on mLOY.

201 nt smokers can lessen the impact of maternal smoking on offspring pulmonary function and decrease the

202 e of this study was to examine the impact of smoking on respiratory diseases, hypertension and myocar

203 mice and humans revealed that the effects of smoking on risk for IBD depend on genetic variants.

204 To evaluate if abstinence from smoking on the day of surgery is associated with a decre

205 In the absence of smoking or hypertension, 0.09% (95% CI, 0.02% to 0.35%)

206 Analogous to the development model, ever smoking (OR 6.70; 95%CI 6.41-6.99), prior asthma (OR 6.4

207 ed-stress resulted in a 5% increased odds of smoking (OR = 1.05; 95%CI = 1.03-1.06).

208 percent uninsured occurred in patients with smoking- or infection-related cancers.

209 x, race, state (Iowa or North Carolina), and smoking (pack years), to estimate associations between e

210 d Ovarian Cancer Screening Trial (PLCO) ever-smoking participants (1,463 lung cancer cases and 915 lu

211 metric measures from a subset of 6,425 never-smoking participants without respiratory symptoms or dis

212 Both smoking and non-smoking patients were studied, to determine whether effe

213 l characterised cohort of former and current smoking patients with a broad range of COPD severity, hi

214 in patients with short duration of disease, smoking patients, and young patients.

215 lence of COPD, especially in countries where smoking patterns have become similar between women and m

216 er cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-

217 g for covariates (age, sex, education, race, smoking, physical activity, and obesity), people with vi

218 f the five major HRBs-alcohol use; cigarette smoking, physical inactivity, unhealthy diet, and illici

219 In periodontitis, genetics and smoking play important roles in host immune system respo

220 Other contributing factors include smoking, pollution and work-related exposures.

221 t when we matched pooled ORs with adult male smoking prevalence (z = 2.55, p = 0.01) in each country,

222 significantly associated with a decrease in smoking prevalence between 2005 and 2015).

223 8, 11, 13, and 14) between 2007 and 2014 and smoking prevalence estimates between 2005 and 2015.

224 Smoking prevalence reduced significantly across the thre

225 sures is significantly associated with lower smoking prevalence, with anticipated future reductions i

226 Although we acknowledge the importance of smoking prevention and cessation, this is a large topic

227 al was observed for increasing pack-years of smoking ( Ptrend = .008), with HR for death of 1.49 (95%

228 d for potential confounding due to age, sex, smoking, race and socio-economic status.

229 over 25 kg/m(2), diabetes, past and current smoking, red meat consumption, saturated fat and cholest

230 erosols were generated with standard intense smoking regimens with careful consideration for dose by

231 In models adjusted for age, smoking, region, and population density, we did not obse

232 In study 1, smoking relapse was associated with less gray-matter vol

233 re associated with smoking sooner during the smoking relapse-analog task.

234 l sensitivity analyses: after excluding most smoking-related cancer cases (OR, 1.10 per procedure; 95

235 l therapeutic regimen to help improve MCC in smoking-related chronic bronchitis.

236 amining whether R-E training could attenuate smoking-related craving and behavior.

237 suggest that the effects of TNP on mood- and smoking-related outcomes may vary depending on the ovari

238 and Sept 30, 2015; 225 (4.9%) of which were smoking-related.

239 We tested the hypothesis that cigarette smoking-relevant nicotine inhalation during pregnancy im

240 cantly increase risk for SP included tobacco smoking (RR, 2.47; 95% CI, 2.12-2.87), alcohol intake (R

241 ascular diseases, body mass index, diabetes, smoking, sedentary behaviors, and alcohol intake.

242 tudy design, methodological factors, age and smoking significantly affected the relationship.

243 idence interval [CI]: 11.0, 64.4; P = .006), smoking (smokers vs nonsmokers, 45.2 mm(3); 95% CI: 7.1,

244 x, chronic disease, socioeconomic status and smoking social integration was inversely related to ten-

245 beta = 0.79; P < .001) were associated with smoking sooner during the smoking relapse-analog task.

246 for baseline Gender-Age-Physiology stage and smoking status (hazard ratio per 10% visual GGR increase

247 Patients and Methods We analyzed survival by smoking status among 1,037 patients from two large US pr

248 shed computational model captured effects of smoking status and administration of nicotine and vareni

249 Most eye care providers assess patients' smoking status and educate patients regarding ocular ris

250 ncontrolled CRS, whereas allergy, asthma and smoking status did not alter the percentage of patients

251 ) were not significantly associated with the smoking status of the nurse.

252 The association of airflow obstruction with smoking status was stronger in women (odds ratio for ex-

253 " or "periodically" ask patients about their smoking status, 251 (86%) "seldom" or "never" ask patien

254 disease when controlling for age, sex, race, smoking status, and autoimmune disease.

255 t as an independent variable identified age, smoking status, body mass index, haemoglobin, serum uric

256 sex, primary tumour type, age at diagnosis, smoking status, chemotherapy drug class, and duration of

257 n models fitted the association of age, sex, smoking status, diabetes mellitus, educational level, al

258 cluded baseline covariates: race, education, smoking status, diabetes, and cardiovascular disease.

259 n of eye care providers who assess patients' smoking status, educate patients regarding ocular risks

260 were adjusted for age, sex, body mass index, smoking status, education, energy intake, examination ye

261 age, body mass index, race, supplement use, smoking status, educational level, income, and aspirin u

262 tes diagnosis, systolic blood pressure, BMI, smoking status, estimated glomerular filtration rate, LD

263 Neural effects of smoking status, nicotine, and varenicline were tested fo

264 ight was maintained across strata defined by smoking status, sex, and age, but the excess was greates

265 age and various aspects of smoking exposure (smoking status, smoking duration, cigarettes per day, pa

266 C-reactive protein, HbA1c, height, obesity, smoking status, triglycerides, type 2 diabetes, waist-hi

267 bA1c, longevity, obesity, self-rated health, smoking status, triglycerides, type 2 diabetes, waist-hi

268 th, family history, alcohol consumption, and smoking status, which suggests that most risk factor ass

269 sex, employment grade, body mass index, and smoking status.

270 : 0.63, 0.91; P-trend < 0.01), regardless of smoking status.

271 risk factor such as body mass index, age, or smoking status.

272 significant risk factor for AMD in LSOCA was smoking; the relative risk vs never-smokers was 3.4 for

273 se issues, and provide a close simulation of smoking tobacco cigarettes.

274 e, as assessed by the Brief Questionnaire on Smoking Urges (BQSU).

275 es were adjusted for age, Tyrer-Cuzick risk, smoking, use of hormone replacement therapy, menopausal

276 95% CI, 1.05 to 2.10) for > 60 pack-years of smoking versus never smoking.

277 86) for any dependence; and the OR for daily smoking was 2.00 (1.89-2.12).

278 Maternal smoking was associated with prolonged mechanical ventila

279 Information on smoking was collected biennially during follow-up.

280 Current smoking was most prevalent in the west Southeast and Mid

281 y participants aged between 36-55 and 56-80, smoking was positively associated with the risk of incid

282 A history of smoking was significantly associated with intracranial a

283 magnitude of association with maternal ever-smoking was stronger in male children compared with fema

284 model, adjusting for pack-years of cigarette smoking, was used to calculate hazard ratios and 95% con

285 BP, serum lipids, body mass index, and smoking were assessed in all follow-ups.

286 is, higher comorbidity scores and history of smoking were associated with a higher odds of the primar

287 ge, sex, and duration and daily frequency of smoking were gathered using a questionnaire.

288 Higher odds of daily smoking were observed in both cohorts for those adolesce

289 ion, high blood sugar, and regular cigarette smoking were rare.

290 body-mass index (BMI) z-score and household smoking were strong predictors of higher BDE-153 levels.

291 ), self-reported physical inactivity, and/or smoking) were included.

292 el health impacts and improve adjustment for smoking when studying other risk factors with more subtl

293 uals, there were synergistic interactions of smoking with infant respiratory infection (P = 0.04) and

294 Maternal smoking with obligatory nicotine inhalation is associate

295 e prospectively evaluated the association of smoking with patient survival.

296 related behavior and brain activation during smoking withdrawal among smokers with ADHD.

297 Smoking withdrawal negatively impacts inhibitory control

298 ence of hypertension, diabetes mellitus, and smoking within and across US counties.

299 er, height, early pregnancy body mass index, smoking, year of delivery, maternal pregestational diabe

300 more likely to initiate smoking and to start smoking younger.