ライフサイエンスコーパス: smoking status

1 microm (P = .01; adjusted for age, sex, and smoking status).

2 t. George's Respiratory Questionnaire score, smoking status).

3 processed red meat while taking into account smoking status.

4 expectancy of HIV-infected persons, based on smoking status.

5 mRNA expression and protein expression with smoking status.

6 cal model that included tumor size, age, and smoking status.

7 gular exercise, cardiovascular activity, and smoking status.

8 fferences in survival based on trial arm and smoking status.

9 ex-specific data on mortality, stratified by smoking status.

10 tment-seeking volunteers based on reflux and smoking status.

11 ted with AAA, regardless of study design and smoking status.

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

13 ignificant clustering based on pregnancy and smoking status.

14 dure, performance status score, and lifetime smoking status.

15 from TCGA cohort matched for tumour size and smoking status.

16 reported risk of type 2 diabetes by baseline smoking status.

17 ciated with KS, after adjustment for age and smoking status.

18 education, race, estimated intelligence, and smoking status.

19 ided a CO measurement or self-reported their smoking status.

20 to 2005) with known human papillomavirus and smoking status.

21 tively, p < 0.001) were independent of prior smoking status.

22 ody mass index (BMI), physical activity, and smoking status.

23 ons between EC and PTB by race/ethnicity and smoking status.

24 : 0.63, 0.91; P-trend < 0.01), regardless of smoking status.

25 smoking on mortality yielded death rates by smoking status.

26 ing heart rate, physical activity level, and smoking status.

27 platelet-inhibiting strategies according to smoking status.

28 icantly differ based on biomarker-determined smoking status.

29 lood pressure, diabetes mellitus status, and smoking status.

30 terms did not support effect modification by smoking status.

31 epsia was associated with infection, age and smoking status.

32 the index hospitalization is not affected by smoking status.

33 o separate the patient subjects according to smoking status.

34 or BP and combined ABC control regardless of smoking status.

35 e findings were not modified by body size or smoking status.

36 thnicity, pack-years of smoking, and current smoking status.

37 ranted in the Asian population regardless of smoking status.

38 , self-report of home smoking ban (HSB), and smoking status.

39 equal number of controls matched on age and smoking status.

40 the antibiotics irrespective of sex, age, or smoking status.

41 nd high-density lipoprotein cholesterol, and smoking status.

42 nd PD effects than clopidogrel regardless of smoking status.

43 associated with age, female sex, and current smoking status.

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

45 dependent of demographic characteristics and smoking status.

46 y control subjects matched for age, sex, and smoking status.

47 (10,856 CD cases and 8879 UC cases) of known smoking status.

48 city, body mass index, diabetes, parity, and smoking status.

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

50 owing data were recorded: 1) age; 2) sex; 3) smoking status; 4) number of missing teeth; and 5) numbe

51 , p<0.0001) general health measurements (eg, smoking status, 6.0, 4.10-8.79, p<0.0001), specific heal

52 ive (multivariate GEE adjusted for age, sex, smoking status, ACPA, and year of recruitment to NOAR: b

53 ge, demographics, underlying conditions, and smoking status (adults only).

54 To assess how tobacco smoking status affects baseline dopamine D2/D3 (D2R) rec

55 ucation, calcium/vitamin D, body mass index, smoking (status, age at start, duration, and pack-years)

56 ter adjusting for age, sex, body mass index, smoking status, age-related maculopathy susceptibility 2

57 ent of age, sex, education, social networks, smoking status, alcohol consumption and physical inactiv

58 tic regression and was further stratified by smoking status, alcohol consumption, and body mass index

59 y, study center, body mass index, education, smoking status, alcohol consumption, physical activity,

60 Age, sex, education, smoking status, alcohol drinking, waist circumference, d

61 s, body mass index, physical activity level, smoking status, alcohol intake, depression, self-reporte

62 rticipants' ethnicity, sex, body mass index, smoking status, alcohol intake, or diabetes status.

63 tics, and angiotensin receptor antagonists), smoking status, alcohol intake, years of education, temp

64 ded race, education level, past steroid use, smoking status, alcohol status, sunlight exposure, and h

65 nalyst, image quality, study site, age, sex, smoking status, alcohol use, daily blocks walked, diuret

66 Cox regression model, adjusted for age; sex; smoking status; alcohol intake; SBP; DBP; cholesterol:hi

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

68 reduced TL when we used prospective data on smoking statuses among men and women, but the associatio

69 ese findings were consistent irrespective of smoking status and across study centers.

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

71 Smoking status and ARMS2 genotype had less of an impact

72 Associations of microRNA expression with smoking status and associations of smoking-related micro

73 nant predictors for uncontrolled asthma were smoking status and asthma symptom scores and an addition

74 Smoking status and BMI were inversely related (beta = -0

75 ree thyroxine, 25-hydroxy vitamin D3, active smoking status and body mass index were also obtained.

76 search, we examined the associations between smoking status and colorectal cancer subtypes defined by

77 Missing data on smoking status and comorbidity.

78 ied histologic subtype, clinical outcome and smoking status and compared with expression of tradition

79 rolling for age, sex, race, body mass index, smoking status and depression severity.

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

81 ates (US) with regard to assessing patients' smoking status and exposure, educating patients regardin

82 levant confounders (sex, age at recruitment, smoking status and intensity, educational level, marital

83 After adjustment for sex, age, height, smoking status and intensity, pack-years, asthma, and FE

84 ence intervals (CIs), adjusting for smoking (smoking status and pack-years), sex, and lifetime days o

85 ardiovascular disease risk factors including smoking status and pack-years, the hazard ratio comparin

86 d to study the association of mortality with smoking status and pack-years.

87 original studies of the association between smoking status and postoperative complications occurring

88 Smoking status and preoperative exhaled carbon monoxide

89 Further analyses tested interactions between smoking status and PTSD symptom severity on pain-related

90 Main effects of smoking status and PTSD symptom severity on pain-related

91 lts were stratified by histological subtype, smoking status and sex.

92 ysis showed a suggestive interaction between smoking status and SLC4A7-rs4973768 (Pinteraction = 8.84

93 we propose a suggestive interaction between smoking status and SLC4A7-rs4973768 that if further repl

94 Proportions of nurses' smoking status and smoking cessation practices were pool

95 ization meta-analyses of the associations of smoking status and smoking heaviness with systolic and d

96 ex in analyses of each cohort sample and for smoking status and study site in pooled-data analyses.

97 No interaction between smoking status and study treatment was observed for blee

98 An association was observed between smoking status and the presence of A. actinomycetemcomit

99 Our study examined the association between smoking status and time to first bowel resection in pati

100 ver, whether cTnI levels differ according to smoking status and whether smoking modifies the prognost

101 hnic origin, education, having children, and smoking status) and was apparent across all CD4 cell cou

102 ted lesions included Caucasian race, current smoking status, and a history of polyps, whereas for ser

103 ssure, waist circumference, body mass index, smoking status, and alcohol consumption over a 17-year p

104 ed for educational level, physical activity, smoking status, and alcohol consumption.

105 re time physical activity, daily fat intake, smoking status, and alcohol use.

106 sting for age, sex, body mass index, current smoking status, and antidepressant use.

107 , body mass index, blood pressure, diabetes, smoking status, and APOE genotype).

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

109 tatistical models, adjusted for age, gender, smoking status, and baseline AMD severity, were used to

110 ogistic regression adjusted for age, gender, smoking status, and body mass index.

111 uL, adjusting for age, sex, body-mass index, smoking status, and Charlson comorbidity index.

112 ization, adjusting for demographics, current smoking status, and cumulative pack-years.

113 case-control study, adjusting for ethnicity, smoking status, and dental characteristics.

114 ovariates of age, sex, ethnicity, education, smoking status, and diabetes, the three most predictive

115 HRs were adjusted for age, smoking status, and education level, and number of colon

116 014, adjusted for age, race/Hispanic origin, smoking status, and education, showed significant increa

117 ile correcting for age, sex, BMI, education, smoking status, and estimated socioeconomic status (ZIP

118 ariable, while adjusting for age, sex, race, smoking status, and history of autoimmune disease.

119 , allergic rhinitis, chronic rhinosinusitis, smoking status, and history of NSAID-induced hypersensit

120 Hcy concentrations, irrespective of lipid or smoking status, and lowered systolic blood pressure in b

121 group), stratified by bevacizumab treatment, smoking status, and M-substage using a dynamic-balancing

122 for sex, age, history of cancer, ethnicity, smoking status, and oral contraceptive use.

123 with lower FMD, adjusting for age, BMI, sex, smoking status, and other CVD risk factors.

124 e incidence of early AMD independent of age, smoking status, and other factors.

125 results were independent of age, sex, race, smoking status, and other known CVD risk factors.

126 s (total energy intake, alcohol consumption, smoking status, and physical activity).

127 le factors, including other aspects of diet, smoking status, and physical activity.

128 predictors-age, sex, education level, race, smoking status, and presence of pigment abnormality, sof

129 ustment for age, sex, race, body mass index, smoking status, and previous myocardial infarction, a sh

130 ting for age, body mass index, race, current smoking status, and recent hormonal contraceptive use, w

131 ffect on SSI, adjusting for body mass index, smoking status, and sex.

132 lf-report alone; 2) age, sex, education, and smoking status; and 3) a combination of the above.

133 Biobank (stage 1) matched for age, sex, and smoking status; and a follow-up of associated genetic va

134 r the U.S. population by age, sex, race, and smoking status; and b) assess tobacco smoke as a predict

135 stolic and diastolic blood pressure, current smoking status, antihypertensive medication use, diabete

136 cteristics such as lower body mass index and smoking status as well as increased intakes of fruit, ve

137 ciation was analysed between methylation and smoking status, as well as cancer risk.

138 Factors, including age, gender, smoking status, aspirin use, and history of diabetes, hy

139 xhaled CO measurement or self-reported their smoking status at 12 months were included in the primary

140 Our primary outcome was smoking status at 12 months, verified by carbon monoxide

141 ted somewhat after additional adjustment for smoking status at baseline, circulating cotinine, body m

142 ; p=0.65) or in pooled analyses adjusted for smoking status at each study visit (difference of -5.2 m

143 dy-II Nutrition Cohort participants reported smoking status at enrollment in 1992 to 1993 and approxi

144 or different drinking patterns, obesity, and smoking status at the individual level.

145 ferent categories of age, educational level, smoking status, baseline body mass index, and physical a

146 Potential risk determinants (smoking status, baseline histology, cancer history, and

147 We evaluated the association between smoking status before and after breast cancer diagnosis

148 ed disease associations, including age, sex, smoking status, body mass index (BMI), AREDS treatment c

149 None of the factors examined, including age, smoking status, body mass index or change in body mass i

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

151 did not differ according to sex or maternal smoking status but was significantly modified by materna

152 nder, education status, body mass index, and smoking status, cancer survivors (n = 10,472) reported s

153 adjusted for demographics, anthropometrics, smoking status, cardiac risk factors, and LV parameters,

154 s with no teeth removed, all combinations of smoking status categories and tooth loss had a higher li

155 above associations were observed across all smoking status categories.

156 ) or molecular (EGFR mutation, regardless of smoking status) characteristics associated with response

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

158 ployed in a high-risk occupation, education, smoking status, cigarette pack-years, and time since qui

159 , controlling for sex, age, body mass index, smoking status, comorbidities, and income.

160 ations were strongest for parental cigarette smoking status; compared to children of non-smokers, tho

161 ohort study, with cohort membership based on smoking status (current smokers, former smokers, and nev

162 ificantly associated (P=6.1 x 10(-134)) with smoking status (current versus never).

163 n = 12) reporting on the association between smoking status (current, former, and never) and surgery

164 adjusting for demographics, anthropometrics, smoking status, diabetes mellitus, and hypertension.

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

166 er we controlled for age, educational level, smoking status, diabetes status, and presence of human i

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

168 ing 4 risk factors: systolic blood pressure, smoking status, diabetes, and total cholesterol.

169 , adjusting for age, sex, education, income, smoking status, diabetes, body mass index, and calcium l

170 evious myocardial infarction, heart failure, smoking status, diabetes, heart rate, and ST-segment dep

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

172 e ventral striatum may also be influenced by smoking status, drug metabolites, and treatment status i

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

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

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

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

177 pulation counts from the 2010 US census, and smoking status estimates from the Behavioral Risk Factor

178 To confirm smoking status, expired carbon monoxide (CO) concentrati

179 effects in subgroups adjusted for age, sex, smoking status, FEV1% predicted, concomitant COPD medica

180 s) with 95% CIs were calculated according to smoking status for death as a result of breast cancer; c

181 Models were adjusted for age, income, smoking status, frequency of dental visits, waist circum

182 Smoking status has been linked to several chronic inflam

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

184 After adjusting for sex, age, current smoking status, history of hypercholesterolemia, history

185 for interaction were performed for age, sex, smoking status, household income, obesity status, and as

186 stage, age, gender, alcohol consumption, and smoking status, HPV status was found to be a significant

187 etter-seeing eye, educational level, income, smoking status, hypertension, diabetes, cardiovascular d

188 ical cataract, after adjusting for age, sex, smoking status, hypertension, diabetes, education, and m

189 education, prepregnancy obesity, atopy, and smoking status identified two sensitive windows (7-19 an

190 important sex differences in obesity risk by smoking status in adolescents, with those who may be mos

191 fferences in brain structure associated with smoking status in adults, few studies have examined how

192 pidogrel or aspirin monotherapy according to smoking status in patients with atherosclerotic vascular

193 and ARRB2 were significantly associated with smoking status in the MSTCC AA sample, with weighted sum

194 This score reliably predicted smoking status in the training set (n = 1,057; accuracy

195 ive risks according to sex and self-reported smoking status in two historical cohort studies and in f

196 nvasive coronary strategy, and current or ex-smoking status increased (all P < .001).

197 evere periodontitis with AHI score, age, and smoking status indicated a significant association with

198 Neither sex nor smoking status influenced NET availability.

199 A significant treatment-by-smoking status interaction was observed on the mean chan

200 s index (males, 66%; females, 67%) and ideal smoking status (males, 66%; females, 70%).

201 cancer patient plasma samples and age/gender/smoking-status-matched non-neoplastic controls from the

202 nicity, season of delivery, parity, maternal smoking status, maternal educational level, pregnancy co

203 Age, prior provoked VTE, and smoking status may be important predictors of occult can

204 CP forms, concomitant with determination of smoking status, may allow the dental health professional

205 Findings did not vary by body mass index, smoking status, menopausal status, or time between urine

206 ing genome-wide significant association with smoking status, most (~96%) were seen from sites in the

207 lative risks (RRs) for later CD according to smoking status (n = 305,722), and moist snuff status (n

208 (0, 1 to 5, 6 to 31, or all) and cigarettes smoking status (never, former, or current) with COPD aft

209 ntinent), performance status (0-1 vs 2), and smoking status (never-smoker vs ever-smoker).

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

211 t the treatment effects may be influenced by smoking status (nonsmokers OR, 0.65; 95% CI, 0.26-1.22 v

212 nificant risk factors were male sex, current smoking status, obesity, and a history of polyps.

213 zophrenia or nonaffective psychosis from the smoking status of 1,413,849 women and 233,879 men from,

214 f association between methylation levels and smoking status of individuals.

215 The smoking status of nurses appears to have a negative impa

216 AIM: To establish whether the smoking status of nurses is associated with their profes

217 To establish whether the smoking status of nurses is associated with their profes

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

219 ng an odds ratio (adjusted for age, sex, and smoking status) of 5.9.

220 However, except for smoking status, often considered a traditional risk fact

221 There was a significant effect of smoking status on baseline striatal D2R availability; wi

222 The effect of smoking status on methylphenidate-induced DA release ten

223 gical patients, but the potential effects of smoking status on perioperative health care costs are un

224 (The Influence of Smoking Status on Prasugrel and Clopidogrel Treated Subj

225 im of the study was to examine the effect of smoking status on urinary, sputum, and plasma eicosanoid

226 Subgroup analyses by chronic morbidity or smoking status or by excluding women with early death di

227 ssation (or both) and reported self-reported smoking status or harms were included.

228 and whether this association was modified by smoking status or inhaled corticosteroid (ICS) use.

229 move during the study or when stratified by smoking status or population density.

230 ording to baseline age, hormone therapy use, smoking status, or age at menopause.

231 The association was not modified by sex, smoking status, or alcohol use.

232 not appreciably modified by sex, race, BMI, smoking status, or atopic status.

233 ociation with risk according to age, gender, smoking status, or body mass index, and to study the inf

234 nces among subgroups defined by age, gender, smoking status, or body mass index.

235 L (p > .05) at 2 months, independent of age, smoking status, or dental plaque levels.

236 820299, LIPA rs1412444, alcohol consumption, smoking status, or physical activity on MetS and its ind

237 significant differences were seen by cohort, smoking status, or stage, although the association was s

238 s did not differ based on age, sex, race, or smoking status, or with the inclusion of participants wi

239 sent after prasugrel treatment regardless of smoking status (p < 0.001 for all comparisons).

240 stmenopausal hormone therapy (P = 0.01), and smoking status (P < 0.001).

241 er age at diagnosis (P < .0001), and current smoking status (P = .0001) remained predictors for group

242 after controlling for the effect of current smoking status (P = .45).

243 teraction between ozone exposure and current smoking status (P = 0.007).

244 or age, race/ethnicity, sex, height, weight, smoking status, pack-years, systemic hypertension, and s

245 After adjusting for cigarette smoking status, participants with high (>3 mg/L) compare

246 atus, employment status, level of education, smoking status, personality trait of optimism and eviden

247 r the associations varied by obesity status, smoking status, physical activity level, history of hype

248 Neither smoking status (Pinteraction = 0.29) nor snus use (Pinte

249 Covariates included age, education, smoking status, plaque level, and initial level of the a

250 nt effect modifiers and confounders, such as smoking status, postmenopausal hormone use, and ethnicit

251 Associations of AMD incidence with age, sex, smoking status, presence of the complement factor H (CFH

252 Subgroup analyses by smoking status, previous thiopurines, previous inflixima

253 unadjusted and adjusted (age, sex, race, and smoking status) progression-free survival analysis of al

254 nd high ABL groups versus low, regardless of smoking status (q <0.1%).

255 und several that were highly associated with smoking status, race, and other covariates.

256 n using saliva DNA, with concurrent and past smoking status reported biennially for up to 16 years be

257 n analyses between PTSD symptom severity and smoking status revealed that smoking attenuated the impa

258 ression models after adjusting for age, sex, smoking status, serum lipid levels, systemic and dietary

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

260 Projected survival was based on smoking status, sex, and initial age.

261 while controlling for baseline status, age, smoking status (smoker or non-smoker), and full-mouth de

262 variants showed significant association with smoking status (smokers vs non-smokers), Fagerstrom Test

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

264 logistic regression modeling (adjusting for smoking status, sociodemographic, and dental characteris

265 sical activity, body mass index, heart rate, smoking status, systolic blood pressure, fasting glucose

266 Studies have shown that smoking status tends to be concordant within spouse pair

267 dy mass index (BMI), alcohol consumption and smoking status that reach the significance threshold aft

268 voice response or web system; stratified for smoking status) to once-daily QVA149 (fixed-dose combina

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

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

271 ustment for age, sex, social deprivation and smoking status using logistic regression.

272 adjusted for age, gender, disease duration, smoking status, vitamin D levels, body mass index and tr

273 he UK general population, when stratified by smoking status was 3.83 (95% CI 2.71 to 5.42) in current

274 At each 4-year examination, self-reported smoking status was assessed and categorized as smoker, r

275 We found that current smoking status was associated with the DNA methylation l

276 Smoking status was dichotomized as current smoking versu

277 Effect modification by smoking status was examined.

278 eta-analyses suggested that nurses' personal smoking status was not associated significantly with nur

279 Preoperative smoking status was not observed to be associated with po

280 Smoking status was recorded, and all individuals were di

281 Active smoking status was reported at baseline and updated on a

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

283 Smoking status was unavailable.

284 (kg)/height (m)(2)), educational level, and smoking status, we observed no strongly positive associa

285 teristics, best-corrected visual acuity, and smoking status were also assessed.

286 Age and smoking status were associated with HPV detection.

287 of H. pylori was 54% and infection, age and smoking status were associated with organic dyspepsia.

288 ity, eye color, refraction/axial length, and smoking status were evaluated as was measurement repeata

289 ammatory disease, laterality of uveitis, and smoking status were not associated with differential inc

290 Interactions between rs10490924 in ARMS2 and smoking status were significant in both unadjusted and a

291 rs, fibrosis within the surrounding lung and smoking status were the best discriminators for an EGFR

292 nalysis (evaluating the influence of current smoking status) were 2452 SSI cases matched to 4467 cont

293 Self-reported smoking status, which may be unreliable, was confirmed b

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

295 The risk of CD was independent of smoking status with all RRs being statistically insignif

296 014) interactions of 40 BMI-related SNPs and smoking status with percent of the CDC/NCHS 2000 median

297 aimed to estimate the association of spousal smoking status with quitting smoking in US adults.

298 or clinical management groups, stratified by smoking status (yes or no), weight (<70 kg or >/=70 kg),

299 sed by gestation (<16 weeks vs >/=16 weeks), smoking status (yes vs no), and preferred language of da

300 Smoking status, young age and surgical decompression are