ライフサイエンスコーパス: adjustment for age

1 gnificant association with incident HF after adjustment for age.

2 erences in mortality became attenuated after adjustment for age.

3 n group; 6) minimum 1-year follow-up; and 7) adjustment for age.

4 manifest Parkinson's disease, p=0.01), after adjustment for age.

5 After adjustment for age, a significant inverse trend of LTL w

6 After adjustment for age, admission diagnosis, index revascula

7 utcome in this context, still observed after adjustment for age and after censoring patients who rece

8 With adjustment for age and alcohol use, blacks had increased

9 revalence ratio for metabolic syndrome after adjustment for age and BMI (P < 0.05).

10 sess changes from baseline, with and without adjustment for age and CAG repeat count.

11 nctional capacity remained significant after adjustment for age and CAG repeat count.

12 47 cases/1000 people [95% CI, 15-78]) after adjustment for age and center.

13 After adjustment for age and comorbidities, mortality was not

14 +/- 5.6 mumol/L, respectively) was NS after adjustment for age and creatinine (P = 0.455).

15 The difference was reduced after adjustment for age and cycle-threshold value (adjusted r

16 After adjustment for age and date of blood draw, race, and bod

17 After adjustment for age and educational level, there was no d

18 sus 12.11 micromol/l/h, P = 0.036) and after adjustment for age and gender (P = 0.012).

19 ociated with greater CCA IMT (p<0.001) after adjustment for age and gender.

20 y, were positively correlated with CFR after adjustment for age and heart rate.

21 After adjustment for age and hemoglobin level, a 1-natural-log

22 was investigated by logistic regression with adjustment for age and HLA class II genetic risk.

23 dverse prognostic factor after multivariable adjustment for age and hypertension (HR = 5.95; 95% CI,

24 0 to 1995 to 5.9% in 2009 to 2010, but after adjustment for age and indication, a modest decrease was

25 rates of SICH and poor 3-month outcome after adjustment for age and National Institutes of Health Str

26 This association remained significant after adjustment for age and other factors associated with mal

27 lomere length (z-score) was calculated after adjustment for age and other potential confounders.

28 1.28-1.58) compared with never smokers after adjustment for age and other potential risk factors.

29 After adjustment for age and personal measurements of airborne

30 , 0.94-1.26), which remained unchanged after adjustment for age and race (hazard ratio, 1.00; 95% con

31 After adjustment for age and race, any HPV prevalence was asso

32 After adjustment for age and refractive error, however, there

33 %; P<0.01), whereas torsion was higher after adjustment for age and sex (0.17 degrees /cm; P<0.05).

34 tage of proximal disease (52% vs. 39%) after adjustment for age and sex (P = 0.055).

35 R], 3.36; 95% CI, 1.07-10.59; P = .04) after adjustment for age and sex and a 14-fold increase in odd

36 were at an increased risk of mortality after adjustment for age and sex compared with stage I patient

37 After adjustment for age and sex in a Cox proportional-hazards

38 After adjustment for age and sex in a linear mixed model, redu

39 After adjustment for age and sex in a multivariable Cox propor

40 After adjustment for age and sex, an ideal CVH score (nonsmoki

41 Survival analysis showed, after adjustment for age and sex, an ocular pressure of >21 mm

42 After adjustment for age and sex, chronic heart disease was as

43 After adjustment for age and sex, every SD increase in apoAI l

44 After adjustment for age and sex, factors that were strongly a

45 By 7 years post-donation, after adjustment for age and sex, greater proportions of Afric

46 After adjustment for age and sex, HF as a time-dependent varia

47 After adjustment for age and sex, inverse associations were ob

48 After adjustment for age and sex, patients with early-onset ty

49 After adjustment for age and sex, post-MI snus quitters had ha

50 After adjustment for age and sex, raised plasma NT-proBNP was

51 a (adjusted OR, 2.3; 95% CI, 1.3-4.0), after adjustment for age and sex.

52 the range of BMI was seen, persisting after adjustment for age and sex.

53 were estimated by logistic regression after adjustment for age and sex.

54 ified by genus-specific HPV serostatus, with adjustment for age and sex.

55 at of 20-652 Hz (r = 0.366, p = 0.242) after adjustment for age and sex.

56 and significantly associated with KS, after adjustment for age and smoking status.

57 After adjustment for age and smoking, those with abnormal DA i

58 likelihood ratio test p=3.4 x 10(-9), after adjustment for age and stratification by cohort).

59 sociated with relative telomere length after adjustment for age and the length of follow-up (for each

60 confidence interval: 1,350, 1,630) YLL after adjustment for age and underlying risk factors.

61 After adjustment for age and weight, the incidence rate ratio

62 After adjustment for age and weight, the relative risk was 0.7

63 Additional predictive value was gained with adjustments for age and race.

64 rences were still significant even after the adjustments for age and sex.

65 of mortality and cardiovascular events after adjustments for age and sex; cholesterol, systolic BP, a

66 GCD, and % Hyper remained significant after adjustments for age and systolic blood pressure.

67 eriod from 3 to 16 days after diagnosis with adjustments for age and the baseline cycle-threshold val

68 essed risk factors for hospitalization after adjustment for age- and sex-specific prevalence of risk

69 After adjustment for age at diagnosis, level of education, liv

70 atio (HR) was 2.66 (95% CI, 1.30-5.43) after adjustment for age at diagnosis, sex, and medical center

71 in intake with BMI, weight, and height, with adjustment for age at diet diary, sex, total energy inta

72 After adjustment for age at enrollment and race, the odds of a

73 ards regression under an additive model with adjustment for age at onset, sex, and the first 4 princi

74 Post hoc adjustment for age attenuated this association.

75 active TB disease remained significant after adjustment for age, biomass fuel (BMF) use, and presence

76 0, 0.91; P-trend < 0.001) after multivariate adjustment for age, BMI, and lifestyle and dietary facto

77 Generalized estimating equations with adjustment for age, BMI, and race were used to evaluate

78 After multivariate adjustment for age, BMI, fluid intake, and other factors

79 mL compared with 74.4 pg/mL, P = 0.01) after adjustment for age, BMI, race, dietary factors, and phys

80 ake, and the trend was not significant after adjustment for age, BMI, smoking, alcohol consumption, v

81 After adjustment for age, BMI, total energy intake, and percen

82 espectively (P-linear trend < 0.0001), after adjustment for age, body mass index, alcohol use, smokin

83 a 25% reduction in the risk for death after adjustment for age, body mass index, and dialysis vintag

84 After adjustment for age, body mass index, and other potential

85 After adjustment for age, body mass index, aortic valve calcif

86 After multiple regression analysis with adjustment for age, body mass index, gender, high-densit

87 independently associated with AF onset after adjustment for age, body mass index, heart rate, beta-bl

88 associated with lower recurrence risk after adjustment for age, body mass index, number of AF episod

89 Logistic regression models included adjustment for age, body mass index, smoking, physical a

90 than the YLL estimate of 2,080 derived after adjustment for age but not for risk factors.

91 ment for covariates had little effect except adjustment for age category (fully adjusted model HR, 1.

92 After adjustment for age, CD4 cell counts, last HIV viral load

93 After adjustment for age, CD4(+) cell count, hepatitis B or C

94 After adjustment for age, CHA2DS2-VASc score, hypertension, an

95 th versus without a pregnancy history, after adjustment for age, CHD severity, comorbidities, and adm

96 After adjustment for age, CVE rates were not associated with d

97 After adjustment for age, duration of grooming, hairiness, ins

98 p Interference Test -2.6, -7.4 to 2.3) after adjustment for age, education, and baseline cognitive fu

99 After adjustment for age, education, and head size, the effect

100 tly associated with better PCS and MCS after adjustment for age, education, marital status, number of

101 hese estimates were similar after additional adjustment for age, education, smoking, use of alcohol,

102 reversible contraception (hazard ratio after adjustment for age, educational level, and history with

103 After adjustment for age, ethnicity, prepregnancy body mass in

104 The association remained after adjustments for age, family history of diabetes, BMI, ph

105 After adjustment for age, fever day, and body mass index, enro

106 Findings persisted after adjustment for age, FIB-4 index score, serum level of al

107 After adjustment for age, for treatment before admission, and

108 e interval, 0.32-0.87; P = 0.01 period after adjustment for age, from the first 5-year interval betwe

109 n meta-analysis (P-value=3.28 x 10(-9) after adjustment for age, gender and education) in an intron o

110 re estimated using logistic regression, with adjustment for age, gender, and caloric intake.

111 intervals (CIs) by logistic regression with adjustment for age, gender, and smoking.

112 [odds ratio, 2.16 (95% CI 1.10-4.26)], after adjustment for age, gender, body mass index, diabetes du

113 After adjustment for age, gender, CHC treatment, diabetes trea

114 After adjustment for age, gender, comorbidities, blood product

115 After adjustment for age, gender, education, family history of

116 of any cause (IRR 0.71, CI 0.68-0.74) after adjustment for age, gender, number of non-psychotropic p

117 ical care initiation following multivariable adjustment for age, gender, race, Deyo-Charlson index, s

118 After adjustment for age, gender, race, season of admission, c

119 ract, however, did not persist after further adjustment for age, gender, smoking, diabetes, steroid u

120 s independently associated with asthma after adjustment for age, gender, socio-economic stratum, city

121 ptic ulcer (HR 2.24; CI 95% 1.16:4.35) after adjustment for age, gender, socioeconomic status, non-st

122 s according to Cox regression analyses, with adjustment for age group, sex, type of dwelling, and stu

123 ated and accident-related index injury after adjustment for age group, socioeconomic status, and chro

124 d without rhinorrhea, even after statistical adjustment for age, having been infected in Egypt, and o

125 re was assessed as residual TEE after linear adjustment for age, height, and BW.

126 used to compare the CRC incidence rates with adjustment for age, history of lower gastrointestinal en

127 With adjustment for age, HIV-infected children had a 3-5-fold

128 Following adjustment for age, human immunodeficiency virus status,

129 After adjustment for age, income, and education, the predicted

130 After adjustment for age, income, education, body mass index (

131 After adjustment for age, intensive care unit level of care, r

132 f combined death and rehospitalization after adjustment for age, left ventricular ejection fraction,

133 ith mortality and remained independent after adjustment for age, N-terminal pro-B-type natriuretic pe

134 , 3.1; 95% CI, 2.1-4.4; P < .001) even after adjustment for age, National Institute of Health Stroke

135 ith change in ED:EI (r=0.650, p=0.006) after adjustment for age (odds ratio 1.12, 95% CI 1.02-1.24; p

136 er, this association was not sustained after adjustment for age or additional adjustment for cardiova

137 Associations did not change after adjustment for age or dose of leucovorin rescue.

138 iver fibrosis lack serial fibrosis measures, adjustment for age, or longitudinal observations in coin

139 ificantly correlated with axial length after adjustment for age (P < 0.0001), age after adjustment fo

140 , -0.03) in comparison to <2 hrs/d TV, after adjustment for age, physical activity, smoking, alcohol,

141 ependently predicted 30-day mortality (after adjustment for age, PSI score, and preexisting comorbid

142 sk factors and SSB intake were examined with adjustment for age, pubertal stage, physical fitness, so

143 multivariable Cox regression analysis after adjustment for age, QRS duration, atrial fibrillation, N

144 (95% confidence interval: 0.65, 0.96) after adjustment for age, race, and nulliparity.

145 After adjustment for age, race, and physical activity, the odd

146 After adjustment for age, race, childhood body type, parental

147 After adjustment for age, race, CT scanning center, and cohort

148 After adjustment for age, race, gender, education status, body

149 intake (HR: 0.58; 95% CI: 0.35, 0.96), with adjustment for age, race, income, smoking, body mass ind

150 CI: 0.179, 0.194 ng/dL), respectively] after adjustment for age, race, percentage of body fat, daily

151 (95% CI: 2.02%, 10.52%), respectively, after adjustment for age, race, percentage of body fat, percei

152 se in risk factor area under the curve after adjustment for age, race, sex, and education (P<0.05 for

153 decisional conflict and distress, even after adjustment for age, race, sex, education, employment, an

154 After adjustment for age, race/ethnicity, and body mass index,

155 After adjustment for age, race/ethnicity, and marital status,

156 After adjustment for age, race/ethnicity, and parent/caregiver

157 atio, 2.5; 95% CI, 1.5-4.2; p = 0.001) after adjustment for age, region, baseline disability, maligna

158 eriod effect was no longer significant after adjustment for age-related macular degeneration.

159 After adjustment for age, remaining SB length, and the presenc

160 After adjustment for age, score on GCS at inclusion, and the p

161 marked reduction in hospital mortality after adjustment for age, severity of illness, and comorbiditi

162 < 0.0001, OR 0.56 [95% CI 0.41-0.75]) after adjustment for age, sex, and age at onset.

163 (OS) using a log-additive genetic model with adjustment for age, sex, and age-adjusted International

164 After adjustment for age, sex, and baseline AS severity, patie

165 ltivariate logistic regression analysis with adjustment for age, sex, and BMI revealed that subjects

166 Even after adjustment for age, sex, and BMI, partial correlations b

167 emained statistically significant even after adjustment for age, sex, and BMI.

168 After adjustment for age, sex, and body mass index, the varian

169 Peak VO2 was lower in AF, even after adjustment for age, sex, and chronotropic response, and

170 After adjustment for age, sex, and comorbidities, ED utilizati

171 m 0.56% in 2003 to 0.29% in 2011, even after adjustment for age, sex, and comorbidity.

172 After adjustment for age, sex, and conventional cardiovascular

173 erse relationship remained significant after adjustment for age, sex, and conventional childhood risk

174 After multivariable adjustment for age, sex, and coronary risk factors, exer

175 viduals versus nondiabetic individuals after adjustment for age, sex, and education and after additio

176 ed with an increased risk for dementia after adjustment for age, sex, and educational level (hazard r

177 After adjustment for age, sex, and eGFR, hazard ratios for mor

178 After adjustment for age, sex, and energy intake, the consumpt

179 After adjustment for age, sex, and ethnicity, the proportions

180 We used linear regression, with adjustment for age, sex, and ethnicity, to estimate the

181 measured by using FreeSurfer software, with adjustment for age, sex, and intracranial volume, and su

182 a higher risk of in-hospital mortality after adjustment for age, sex, and measured comorbidities.

183 After adjustment for age, sex, and neighborhood socioeconomic

184 After adjustment for age, sex, and other potential confounders

185 ith future death/myocardial infarction after adjustment for age, sex, and race (odds ratio, 2.05; 95%

186 01-2.50; P=0.04) in unadjusted analyses, but adjustment for age, sex, and race attenuated association

187 After adjustment for age, sex, and race or ethnic group, the r

188 After adjustment for age, sex, and race, the relative risk of

189 o 98.5%) reduction in prevalence after model adjustment for age, sex, and race.

190 have a history of one or more tattoos after adjustment for age, sex, and race/ethnicity (OR, 5.17; 9

191 After adjustment for age, sex, and race/ethnicity-body mass in

192 lesterol (n=6502; beta= -4.85; P=0.68) after adjustment for age, sex, and race/ethnicity.

193 After adjustment for age, sex, and randomized trial assignment

194 After adjustment for age, sex, and smoking behavior, these exp

195 After adjustment for age, sex, and smoking, this association w

196 tion (shift analysis) and in subgroups after adjustment for age, sex, baseline stroke severity (Natio

197 ing repeated-measures linear regression with adjustment for age, sex, birth weight, maternal educatio

198 e obtained in tertiles of PRAL and NEAP with adjustment for age, sex, BMI, smoking, education, and in

199 nfidence interval, 1.05-1.21; P<0.001) after adjustment for age, sex, body mass index, and ASA-perfor

200 We used logistic regression with adjustment for age, sex, body mass index, and Kellgren/L

201 After adjustment for age, sex, body mass index, and other CVD

202 pared with subjects with euthyroidism, after adjustment for age, sex, body mass index, diabetes, hype

203 ibrosis (OR, 2.08; 95% CI: 1.20-3.55), after adjustment for age, sex, body mass index, fasting hyperg

204 ) and remained a significant predictor after adjustment for age, sex, body mass index, N-terminal pro

205 efore (54.7% vs. 44.7%; p < 0.001) and after adjustment for age, sex, body mass index, pre-existing m

206 r trunk muscle endurance in models including adjustment for age, sex, body mass index, socioeconomic

207 This relationship was lost with adjustment for age, sex, cancer type, and deprivation in

208 After adjustment for age, sex, cardiovascular risk factors, co

209 After adjustment for age, sex, CD4 count before therapy, and W

210 After adjustment for age, sex, CHB treatment, hepatocellular c

211 al and facility-based care, persisting after adjustment for age, sex, comorbidities, and insurance ty

212 After adjustment for age, sex, coronary artery disease, diabet

213 After adjustment for age, sex, country, and SCD phenotype, a l

214 After adjustment for age, sex, current smoking, white blood ce

215 neralised linear modelling, with and without adjustment for age, sex, diabetes diagnosis, systolic bl

216 ratio 1.58 [1.10-2.31], P=0.014) even after adjustment for age, sex, diabetes mellitus, and ischemic

217 .53-2.57), respectively, after multivariable adjustment for age, sex, diabetes mellitus, estimated gl

218 After adjustment for age, sex, diabetes, smoking, cholesterol,

219 al length of stay (p < 0.001) remained after adjustment for age, sex, diagnoses, sedation, and ventil

220 After adjustment for age, sex, education, and medical comorbid

221 After adjustment for age, sex, education, hypertension duratio

222 verbal fluency, and dementia severity after adjustment for age, sex, education, hypertension, and di

223 e positively associated with mortality after adjustment for age, sex, education, smoking, diet, race,

224 These associations were robust to adjustment for age, sex, employment grade, body mass ind

225 iles ranked by median household income after adjustment for age, sex, ESRD rate, and geography.

226 isolation was 1.73 (95% CI 1.65-1.82) after adjustment for age, sex, ethnic origin, and chronic dise

227 nalyzed using Cox proportional hazards, with adjustment for age, sex, ethnicity, alcohol use, CD4(+)

228 d cravings and appetite scores at 6 mo after adjustment for age, sex, ethnicity, baseline body mass i

229 link function with robust error variance and adjustment for age, sex, health care use because of AR,

230 Adjustment for age, sex, heart rate, alcohol consumption

231 sociation that persisted after multivariable adjustment for age, sex, heart rate, hypertension, systo

232 ndently related to FeNO (all P < 0.05) after adjustment for age, sex, height, smoking history and med

233 TIA remained significant after multivariable adjustment for age, sex, history of stroke/TIA, atrial f

234 ease site and M. tuberculosis lineage, after adjustment for age, sex, human immunodeficiency virus in

235 (P<.001), Err (P=.05) and Ell (P=.01) after adjustment for age, sex, hypertension, body mass index,

236 After adjustment for age, sex, hypertension, body mass index,

237 ssociated with LV mass-to-volume ratio after adjustment for age, sex, hypertension, race, and dyslipi

238 idence intervals [1.29-6.75]; P=0.011) after adjustment for age, sex, hypertension, smoking, sodium l

239 hese associations remained significant after adjustment for age, sex, inflammatory markers, and cardi

240 LS >/=-6.95%) predicted adverse events after adjustment for age, sex, ischemic etiology, E/e' septal,

241 After adjustment for age, sex, lifestyle, diet, and body mass

242 od (beta=0.16; P<0.001) that persisted after adjustment for age, sex, medication use, and cardiovascu

243 portional hazards regression analysis (after adjustment for age, sex, numbers of annual medical visit

244 low socioeconomic status group was robust to adjustment for age, sex, obesity, and physical activity,

245 These differences remained significant after adjustment for age, sex, parental history of myopia, and

246 Results remained nonsignificant after adjustment for age, sex, percentage of body fat, sun exp

247 dence interval, 1.32 to 2.41; P<0.001) after adjustment for age, sex, presence of diabetes mellitus,

248 After adjustment for age, sex, pulmonary artery systolic press

249 After adjustment for age, sex, race (nonwhite compared with wh

250 After adjustment for age, sex, race, and neighborhood, the ris

251 erence, 18 m [95% CI, 6-30]; P = .30), after adjustment for age, sex, race, body mass index, forced e

252 After adjustment for age, sex, race, body mass index, smoking

253 ith adiposity phenotypes were examined after adjustment for age, sex, race, comorbidities, and body m

254 V structure and function were examined after adjustment for age, sex, race, comorbidities, and lean m

255 Following adjustment for age, sex, race, diabetic kidney disease,

256 and low HDL (P = 0.004) concentrations after adjustment for age, sex, race, education, center, and en

257 After adjustment for age, sex, race, education, smoking status

258 ting equation Poisson models were used, with adjustment for age, sex, race, educational level, income

259 After adjustment for age, sex, race, smoking status, diabetes,

260 After multivariable adjustment for age, sex, race, witness status, layperson

261 After adjustment for age, sex, race-ethnic group, SES, and BMI

262 interval duration (QTcorr) was determined by adjustment for age, sex, race/ethnicity, and RR interval

263 s or differentially methylated probes, after adjustment for age, sex, race/ethnicity, batch effects,

264 using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, body mass index

265 After adjustment for age, sex, race/ethnicity, body mass index

266 After adjustment for age, sex, race/ethnicity, diabetes mellit

267 using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, smoking, diagno

268 using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, smoking, diagno

269 number of carotid arteries with plaque after adjustment for age, sex, smoking, body mass index, waist

270 le with and without asthma, before and after adjustment for age, sex, social deprivation and smoking

271 alls) (HR = 0.79, 95% CI: 0.44, 1.42), after adjustment for age, sex, socioeconomic position, alcohol

272 with Cox proportional hazard regression with adjustment for age, sex, trial enrollment allocation, re

273 egression for each health-care system, after adjustment for age, sex, year, and Charlson comorbidity

274 After adjustment for age, sex, year, propensity score, and use

275 type and baseline cognitive performance with adjustment for age, sex, years of education, disease dur

276 rphology to the presence of SHFP edema, with adjustments for age, sex, and body mass index.

277 Adjustments for age, sex, education, apolipoprotein E e4

278 s than periodontally healthy controls, after adjustments for age, sex, physical activity, systolic bl

279 .0001), and this association persisted after adjustments for age, sex, race, smoking status, airway r

280 After adjustments for age, sex, study site, primary coronary p

281 ified analysis revealed that the study type, adjustment for age/sex, treatment duration, cumulative d

282 Adjustment for age, smoking, and other confounders atten

283 After adjustment for age, smoking, and other factors, total ca

284 ting for potential confounding factors.After adjustment for age, smoking, and other factors, women wi

285 After adjustment for age, smoking, body mass index, and other

286 CVD was quantified with joint modeling, with adjustment for age, smoking, oral contraceptive use, bod

287 nterval, 1.09-1.33; P for trend <0.01) after adjustment for age, smoking, physical activity, alcohol,

288 fidence intervals (CI) were calculated after adjustment for age, smoking, physical activity, socioeco

289 After adjustments for age, smoking, drinking, anthropometric a

290 sion analyses before and after multivariable adjustment for age, socioeconomic status, depressive sym

291 ean Cooperative Acute Stroke Study II) after adjustment for age, stroke severity, and comorbidities.

292 After adjustment for age, stroke severity, and other factors,

293 The Cochran-Mantel-Haenszel test with adjustment for age, stroke severity, sex, and thrombolys

294 This association persisted after adjustment for age, the CD4 cell count, and HIV viral lo

295 ared with women in the lowest quintile after adjustment for age, total energy, race, income, smoking,

296 After adjustment for age, tumor stage and grade, nodal status,

297 After adjustment for age, urbanization, economic status and me

298 After adjustment for age we identified elevated BG tCHO/CR in

299 h year as independent variables (i.e., after adjustment for age, we were able to analyze how LTL corr

300 3.1; 95% confidence interval, 1.2-8.2) after adjustment for age, year of diagnosis, septic complicati