ライフサイエンスコーパス: adjusting for age

1 these differences were not significant after adjusting for age.

2 s and percentage of sites with plaque, after adjusting for age.

3 with colonoscopy patients disappeared after adjusting for age.

4 1) and overall survival (OS; P < .001) after adjusting for age.

5 also observed at lower CD4 cell counts after adjusting for age.

6 ficant predictors of in-hospital death after adjusting for age.

7 re assessed using multivariable regressions, adjusting for age, Acute Physiology and Chronic Health E

8 OR 1.67, 95% CI 1.02 to 2.74, p=0.04) after adjusting for age, admission, Hunt-Hess grade, size and

9 vitreal injection was 1.04 (P = 0.016) after adjusting for age, advanced cataract, and cataract surge

10 worse inhalation injury severity, even after adjusting for age and % total body surface area (TBSA) b

11 Adjusting for age and baseline scores, participants rece

12 a by quintile (Q) of 25(OH)D concentrations, adjusting for age and body mass index.

13 After adjusting for age and duration of symptoms, testing reve

14 magnitude of the inequalities remained after adjusting for age and educational level, and a north-to-

15 sely correlated with malaria incidence after adjusting for age and Hb type.

16 al and imaging measures were evaluated after adjusting for age and hippocampal volume.

17 When adjusting for age and hypertension, only LAVi >/=32 ml/m

18 history were less likely, to undergo biopsy, adjusting for age and longitudinal prostate-specific ant

19 ative to screen-detected breast cancer after adjusting for age and mammographic density were family h

20 ups using multiple regression analysis while adjusting for age and optical intensity of the entire re

21 Adjusting for age and other factors, few statistically s

22 ot decrease in NS subjects (P < 0.05), after adjusting for age and pack-years.

23 ng medication vs nonmedicated periods, after adjusting for age and practice effects.

24 After adjusting for age and race, the odds of choroidal nevus

25 esistance was associated with CVD risk after adjusting for age and race/ethnicity with hazard ratios

26 using multivariable linear regression models adjusting for age and race/ethnicity.

27 After adjusting for age and refractive error, the mean (SD) di

28 -69.3]), and this association remained after adjusting for age and relationship status (men: adjusted

29 ross the time period was 2.5% per year after adjusting for age and sex (adjusted incidence rate ratio

30 time to peak constriction and dilation after adjusting for age and sex (all P < 0.001).

31 is using robust biologic parametric mapping, adjusting for age and sex (false discovery rate, P = 0.0

32 y birth order, using logistic regression and adjusting for age and sex (model 1) or age, sex, and hig

33 (ALVAL) score at histologic assessment while adjusting for age and sex for 54 revised hips.

34 After stratifying for treatment and adjusting for age and sex frequency, recurrence was asso

35 A repeated-measures analysis adjusting for age and sex was used to assess the diverge

36 ncipal investigator for each eligible trial, adjusting for age and sex, and clustering by study.

37 eus neurons had less fragmented sleep, after adjusting for age and sex, and this association was stro

38 By adjusting for age and sex, blacks had a 70% lower risk o

39 Adjusting for age and sex, bystander and first-responder

40 Adjusting for age and sex, each generation was more than

41 In multivariable analyses adjusting for age and sex, higher systolic blood pressur

42 While adjusting for age and sex, macular cysts (odds ratio [OR

43 However, after adjusting for age and sex, participants who underwent ca

44 ean age 57.8 years vs 53.8 years) and, after adjusting for age and sex, were more likely to have prev

45 t, and adjuvant therapy, respectively, while adjusting for age and sex.

46 associated with a 21% higher mortality risk, adjusting for age and sex.

47 and pulse pressures as quantitative traits, adjusting for age and sex.

48 0; 95% CI 2.14-2.95, respectively) in models adjusting for age and sex.

49 and the outcome measures described earlier, adjusting for age and sex.

50 ar analyses of the volumes of brain regions, adjusting for age and total intracranial volume, were us

51 Adjusting for age and viral load, an innate immune profi

52 ) compared with those without glaucoma after adjusting for age, and mental status.

53 pecific pesticides and the logarithm of RTL, adjusting for age at buccal cell collection, state of re

54 Cox regression adjusting for age at diagnosis confirmed that TC remaine

55 After adjusting for age at enrollment, race, waist circumferen

56 In regression analyses adjusting for age at splenectomy, follow-up time, sex, a

57 After adjusting for age at survey, race/ethnicity, education,

58 Adjusting for age at time of surgery, gender, interval b

59 Caucasian kidney transplant recipients after adjusting for age at transplantation, pretransplantation

60 n the patients in the nontreated group after adjusting for age, axial length, and spherical power.

61 .6; 95% confidence interval, 1.1-2.4), after adjusting for age, background, education, marital status

62 loss within the first 16 weeks on treatment, adjusting for age, baseline CD4+, and WHO stage.

63 ing unconditional logistic regression models adjusting for age, birth month/year, and hospital.

64 lated RRR for both ASD and autistic disorder adjusting for age, birth year, sex, parental psychiatric

65 1 and PMD and their interaction with parity, adjusting for age, BMI, and dialect group.

66 vated SBP, DBP, and cPP, and with lower FMD, adjusting for age, BMI, sex, smoking status, and other C

67 t environment measure and biomarkers of EVA, adjusting for age, body mass index (BMI), cooking fuel t

68 , and each of the QST measures individually, adjusting for age, body mass index, and use of pain-modi

69 ric acid by diet group were calculated after adjusting for age, body mass index, calcium and alcohol

70 binomial (respiratory symptoms) regressions, adjusting for age, body mass index, physical activity, s

71 After adjusting for age, body mass index, race, current smokin

72 separately for each partner's concentrations adjusting for age, body mass index, serum cotinine, seru

73 316 metabolites with 4 diet quality indexes, adjusting for age, body mass index, smoking, energy inta

74 In a Cox regression model adjusting for age, CD4 count, and isoniazid receipt, sub

75 ted with fewer delirium/coma-free days after adjusting for age, Charlson comorbidity index, modified

76 In eyes with high myopia, after adjusting for age, choroidal vascular and stromal areas

77 <0.001), but this risk did not persist after adjusting for age, comorbidity, and self-perceived gener

78 In a multivariate analysis adjusting for age, complexity of infection, and parasite

79 sing conditional logistic regression models (adjusting for age, country, trauma, and job-related phys

80 a and generalized estimating equation models adjusting for age, current smoking, and presence of risk

81 of Pneumonia in the Community (EPIC) study, adjusting for age, demographics, underlying conditions,

82 qAF8 values in the overall AMD cohort after adjusting for age (difference, -19.9% [95% CI, -25.6% to

83 In the logistic regression model, after adjusting for age, education level, osteoporosis, smokin

84 Mixed-model analyses adjusting for age, education, age at depression onset, r

85 campal volumes, particularly in women, after adjusting for age, education, and intracranial volume (e

86 After adjusting for age, education, race, marital status, self

87 After adjusting for age, epidemic period, MERS patients with c

88 In a multiple linear regression model adjusting for age, ethnicity and maternal education, mot

89 Adjusting for age, ethnicity, and socioeconomic status,

90 se factors interact to predict CRC survival, adjusting for age, ethnicity, sex, body mass index, stag

91 Adjusting for age, European Treatment and Outcome Study

92 Adjusting for age, eyes in men had thicker retinas than

93 Adjusting for age, factors independently associated with

94 HR, 2.28; 95% CI, 1.00-5.23) (P = .05) after adjusting for age, family history of DM or heart disease

95 was associated with increased CVD risk after adjusting for age, family history, and childhood factors

96 Adjusting for age, female sex was associated with exudat

97 After adjusting for age, fitness, and body mass index, echocar

98 isms (SNPs) and CCT using linear regression, adjusting for age, gender and principal components of ge

99 concentrations between patients and controls adjusting for age, gender and tissue fractions within ea

100 e was evaluated using multivariable analysis adjusting for age, gender, admission clinical grade, adm

101 ltivariate regression models were performed, adjusting for age, gender, and optic radiation lesion lo

102 While adjusting for age, gender, and other factors, using a va

103 After adjusting for age, gender, and potential confounders, pa

104 After adjusting for age, gender, and total intracranial volume

105 regions with gamma-aminobuytric acid levels, adjusting for age, gender, and total N-acetyl-aspartate

106 ic regression with an additive genetic model adjusting for age, gender, average intraocular pressure

107 ompared with those in the 1st tertile, after adjusting for age, gender, baseline diabetes, SBP, BMI,

108 After adjusting for age, gender, body mass index, systolic blo

109 Adjusting for age, gender, ECOG score, cytogenetic risk

110 e relation of change in CAC with CHD events, adjusting for age, gender, ethnicity, baseline calcium s

111 o [OR], 1.36; 95% CrI, 1.23-1.52), and after adjusting for age, gender, habitation type, response rat

112 of malaria infection in children aged 0-5 y, adjusting for age, gender, insecticide-treated net (ITN)

113 ment] = 0.23, 95% CI, 0.06-0.40; P = 0.010), adjusting for age, gender, presence of corneal arcus, an

114 multiple sclerosis, and lupus erythematosus, adjusting for age, gender, race, and primary care visits

115 emained associated with worse survival after adjusting for age, gender, race, shockable rhythm, time

116 After adjusting for age, gender, suspected trigger, and preexi

117 After adjusting for age, glycemic control, and other potential

118 ermined by obesity and diabetes status after adjusting for age group, gender, race, and other underly

119 n in the distal lower extremities (P = .008, adjusting for age, height, and testing date).

120 estigated using linear mixed effects models, adjusting for age, height, weight, pack-years, current s

121 When adjusting for age, history of hypertension, atrial fibri

122 ty by multivariate regression modeling after adjusting for age, history of pneumonia, history of hosp

123 After adjusting for age, Hunt-Hess grade and aneurysm size, ea

124 After adjusting for age, Hunt-Hess grade, aneurysm size, Acute

125 While adjusting for age, income, and age-related macular degen

126 ared with those without mental illness after adjusting for age, income, race, ethnicity, geographic l

127 After adjusting for age, initial Glasgow Coma Scale, and mean

128 time with men without those symptoms, after adjusting for age, lifestyle factors, and presence of co

129 ], and 1.18 [0.98-1.42], respectively, after adjusting for age, lifestyle factors, CHD risk factors,

130 After adjusting for age, marital status, material deprivation

131 z-scores (WAZ, HAZ, and WHZ, respectively), adjusting for age; maternal age, race, prepregnancy BMI;

132 Similar results were found after adjusting for age, menopausal status, smoking habit, and

133 hese associations remained significant after adjusting for age of onset.

134 foveal choroidal thickness (P = 0.007) after adjusting for age, optic disc diameter, gender, and refr

135 general linear model multivariate analysis, adjusting for age or plaque index, showed that the two g

136 ." Multivariable logistic models were fitted adjusting for age, overweight (body mass index of 25 to

137 001; regression coefficient B, -55.1), after adjusting for age (P < 0.001) and refractive error (P =

138 as well as caudate and putamen nuclei, after adjusting for age (P < 0.05).

139 After adjusting for age (P = .090), body surface area (P = .07

140 foveal choroidal thickness (P = 0.037) after adjusting for age (P = 0.001) and refractive error (P =

141 ) times more likely to be at high risk after adjusting for age (P<0.05).

142 r for hip than for knee arthroplasties after adjusting for age, pathogen virulence, and hospital surg

143 inimal versus moderate-to-severe comorbidity adjusting for age, PC prognostic factors, and treatment.

144 After adjusting for age, performance score, donor-recipient HL

145 with 172 pregnancies without measles, after adjusting for age, pregnancies with measles carried sign

146 te risk ratios and 95% confidence intervals, adjusting for age, prepregnancy body mass index (weight

147 After adjusting for age, pseudoexfoliation, small pupil, prior

148 ncome differences were not significant after adjusting for age, race, and education.

149 oubled the odds of childhood AIS, even after adjusting for age, race, and socioeconomic status (odds

150 Hand veterans than comparison veterans after adjusting for age, race, BMI in 2002, and the change in

151 Adjusting for age, race, body mass index, education, and

152 ion were estimated using logistic regression adjusting for age, race, body mass index, gender, creati

153 After adjusting for age, race, body surface area, systolic blo

154 nalysis was used to examine the association, adjusting for age, race, body-mass index, neighborhood s

155 Adjusting for age, race, donor status, and peak panel-re

156 ertensive pregnancy disorders and cognition, adjusting for age, race, education, body mass index, smo

157 After adjusting for age, race, field center, waist circumferen

158 After adjusting for age, race, gender, and follow-up years, th

159 I = 0.72-0.9) of being discharged home after adjusting for age, race, gender, severity of illness, an

160 After adjusting for age, race, gender, severity of illness, pr

161 assessed by logistic and linear regression, adjusting for age, race, HIV serostatus, and cardiovascu

162 After adjusting for age, race, parental education, and prepreg

163 of GFR are based on serum creatinine, after adjusting for age, race, sex, and/or body mass.

164 e a PKD2 mutation than a PKD1 mutation after adjusting for age, race, sex, estimated glomerular filtr

165 ociated with Lp-PLA2 activity and mass after adjusting for age, race, sex, low-density and high-densi

166 luated using multivariable linear regression adjusting for age, race, traditional CVD risk factors, k

167 s were fit for each outcome and cancer type, adjusting for age, race/ethnicity, sex, income, insuranc

168 After adjusting for age, race/ethnicity, sex, lens status, tim

169 CIs using unconditional logistic regression, adjusting for age, reference date year, serum lipids, ed

170 art disease, heart failure, and stroke after adjusting for age (RR, 3.89; 95% CI, 1.83-8.26), body ma

171 ly associated with reaction times even after adjusting for age, SAP mean deviation in the better eye,

172 Regression models adjusting for age, severity of illness, and comorbiditie

173 and delirium-free and coma-free days, after adjusting for age, severity of illness, and presence of

174 nd more days free of delirium and coma after adjusting for age, severity of illness, and presence of

175 mpared using multivariable linear regression adjusting for age, severity of illness, and temporal tre

176 d with interleukin-6 levels (FDR<0.05) after adjusting for age, sex and blood cell components.

177 5,722), and moist snuff status (n = 199,200) adjusting for age, sex and decade.

178 th BAVM was tested using logistic regression adjusting for age, sex and the top three principal compo

179 h reduced BIVP had increased mortality after adjusting for age, sex, AF, and shocks (90%-98%: hazard

180 Multiple logistic regressions adjusting for age, sex, American Society of Anesthesiolo

181 iation between loci and quantitative traits, adjusting for age, sex, and admixture proportions (Disco

182 In a multivariable model adjusting for age, sex, and BCC location, PD-L1 staining

183 After adjusting for age, sex, and BMO area, there was not a st

184 imated using logistic and linear regression, adjusting for age, sex, and body mass index.

185 ementia (IRR, 2.13; 95% CI, 2.00-2.27) after adjusting for age, sex, and calendar period.

186 sel bed with mortality using Cox regression, adjusting for age, sex, and cardiovascular risk factors.

187 Cox proportional hazards regression models adjusting for age, sex, and cardiovascular risk factors;

188 level risk-standardized readmission rates by adjusting for age, sex, and comorbid conditions.

189 After adjusting for age, sex, and comorbidities, the risk of d

190 Adjusting for age, sex, and diabetes, presence of lithiu

191 l lung disease diagnoses (1.46 [0.24]) after adjusting for age, sex, and ethnicity (p=0.47).

192 mated association using logistic regression, adjusting for age, sex, and five eigenvectors.

193 After adjusting for age, sex, and interval between baseline an

194 After adjusting for age, sex, and left atrial size, standard a

195 After adjusting for age, sex, and length of BE, persistence of

196 parisons using Bonferroni analysis, or after adjusting for age, sex, and OHI.

197 Adjusting for age, sex, and other risk factors, high-sen

198 he adjusted population coverage (APC) method adjusting for age, sex, and population size.

199 ess for confounding, a multivariate analysis adjusting for age, sex, and race was also performed.

200 In models adjusting for age, sex, and race, male patients had high

201 dence interval, 0.56 to 0.75; P<0.001) after adjusting for age, sex, and race.

202 association in multivariate regression after adjusting for age, sex, and race/ethnicity was 2.96 (95%

203 By adjusting for age, sex, and race/ethnicity, hyperopia wa

204 ic overweight/obesity and FPM/SPM emergence, adjusting for age, sex, and race/ethnicity.

205 (prevalence ratio, 0.95 [95% CI, 0.86-1.06] adjusting for age, sex, and race/ethnicity; P = .39 for

206 7; 95% confidence interval, 1.02-2.42) after adjusting for age, sex, and smoking.

207 lly significant geographic clusters of BCCs, adjusting for age, sex, and socioeconomic status.

208 ake of thiamin, riboflavin, and folate after adjusting for age, sex, and total energy intake (P-trend

209 trations were associated with CVD risk after adjusting for age, sex, and traditional risk factors (re

210 In multivariable models adjusting for age, sex, antihypertensive therapy, body m

211 In analyses adjusting for age, sex, APOL1 G1/G2 risk (recessive), an

212 with loneliness in linear regression models adjusting for age, sex, apolipoprotein E epsilon4 (APOEe

213 tients with AF had increased mortality after adjusting for age, sex, BIVP, and shocks (permanent: haz

214 oronary heart disease, stroke) remains after adjusting for age, sex, blood pressure, body mass index

215 dent cardiovascular events at P<0.0007 after adjusting for age, sex, blood pressure, smoking, diabete

216 T1RaAbs, decreased time to death by 9% after adjusting for age, sex, body mass index, and blood press

217 aAbs increased the odds of falling 30% after adjusting for age, sex, body mass index, and blood press

218 is under recessive and additive models after adjusting for age, sex, body mass index, and estimated g

219 o evaluate the risk of medial meniscal tear, adjusting for age, sex, body mass index, and knee side.

220 d attempted suicide (key exposure variable), adjusting for age, sex, body mass index, current smoking

221 After adjusting for age, sex, body mass index, diabetes, hyper

222 Adjusting for age, sex, body mass index, physical activi

223 After adjusting for age, sex, body mass index, smoking status,

224 ive multivariable logistic regression models adjusting for age, sex, body mass index, smoking, and re

225 with disease-specific and overall mortality, adjusting for age, sex, body mass, diagnosis year, and s

226 less versus greater than 400 cells per muL, adjusting for age, sex, body-mass index, smoking status,

227 agnosis, and until 10 years after diagnosis, adjusting for age, sex, calendar period, and educational

228 h elevated resting HR and abnormal HRR after adjusting for age, sex, cardiovascular risk factors, med

229 ing random-effect logistic regression models adjusting for age, sex, caste, standard of living, occup

230 sen incidence (OR 2.1, 95% CI 1.0-4.5) after adjusting for age, sex, CFH-rs1061170 and ARMS2-rs104909

231 After adjusting for age, sex, comorbid conditions, weight, hos

232 After adjusting for age, sex, comorbidity, initial disease sev

233 of dementia (until 2015) using a Cox model, adjusting for age, sex, demographics, cardiovascular ris

234 ted intraocular lenses (IOLs) were assessed, adjusting for age, sex, diabetes, and ethnicity.

235 After adjusting for age, sex, diagnosis, and transplant center

236 ted with linear regression) were correlated, adjusting for age, sex, disease duration, and optic neur

237 els and an additive genetic risk model while adjusting for age, sex, education, and population substr

238 Clinical Frailty Scale scores and outcomes, adjusting for age, sex, education, comorbidities, baseli

239 The data was analyzed after adjusting for age, sex, education, history of hypertensi

240 periodontitis, odds ratios were calculated, adjusting for age, sex, education, income, smoking statu

241 r mixed-effect regression models, the latter adjusting for age, sex, ethnicity, axial length, and the

242 following multivariable Poisson regression, adjusting for age, sex, ethnicity, socioeconomic status,

243 al outcome of 0.38 (95% CI, 0.37-0.40) after adjusting for age, sex, etiology of arrest, first docume

244 nd reduced cholesterol efflux capacity after adjusting for age, sex, fasting glucose, homeostasis mod

245 1.38, 95% CI: 1.09, 1.78] per 15 mug/L while adjusting for age, sex, first-degree family history of C

246 lculated for individual treating facilities, adjusting for age, sex, insurance status, mechanism of i

247 s assessed by Cox proportional hazards model adjusting for age, sex, International staging system and

248 After adjusting for age, sex, intervention group, and lifestyl

249 ssion vs transfer by insurance status, while adjusting for age, sex, mechanism of injury, Injury Seve

250 between AMD and VSF in the 3 ethnic groups, adjusting for age, sex, presenting visual acuity in the

251 mic treatment for psoriasis on HZ incidence, adjusting for age, sex, psoriasis severity, Charlson com

252 ng the general Kaiser population control and adjusting for age, sex, race, and autoimmune diseases, t

253 was used to analyze perioperative mortality, adjusting for age, sex, race, and comorbidities.

254 constructed a Cox proportional hazards model adjusting for age, sex, race, and comorbidity.

255 and mortality, we used mixed-effects models, adjusting for age, sex, race, and comorbidity.

256 46; P < .001) who had pre-existing CLL after adjusting for age, sex, race, and disease stage.

257 ey had a pre-existing diagnosis of CLL after adjusting for age, sex, race, and disease stage.

258 the association between smoking and uveitis, adjusting for age, sex, race, and socioeconomic status.

259 eline diabetic retinopathy (DR) severity and adjusting for age, sex, race, and starting visual acuity

260 In multivariate analyses adjusting for age, sex, race, and study site, higher edu

261 as assessed using multiple linear regression adjusting for age, sex, race, and systolic blood pressur

262 with subsequent all-cause and CVD mortality, adjusting for age, sex, race, ankle-brachial index, body

263 In multivariate logistic regression models adjusting for age, sex, race, cognition, comorbidities,

264 In multivariate Cox analyses adjusting for age, sex, race, diabetes mellitus, history

265 tiple CV risks and MRI outcomes was examined adjusting for age, sex, race, disease duration and treat

266 After adjusting for age, sex, race, income, creatinine, and su

267 Linear regression models adjusting for age, sex, race, parental education, and or

268 isease as the main predictor variable, while adjusting for age, sex, race, smoking status, and histor

269 ncer-specific death compared with NHWs after adjusting for age, sex, race, stage, county-level povert

270 We estimated associations after adjusting for age, sex, race, urinary iodine, body mass

271 In multivariable models adjusting for age, sex, race/ethnicity, and chronic dise

272 vidual fat depots and incident hypertension, adjusting for age, sex, race/ethnicity, diabetes, smokin

273 mpare hospital mortality across both groups, adjusting for age, sex, race/ethnicity, Injury Severity

274 (never, former, or current) with COPD after adjusting for age, sex, race/ethnicity, marital status,

275 als (CIs) for TBI in a Cox regression, while adjusting for age, sex, race/ethnicity, modified Charlso

276 ary analyses used general linear regression, adjusting for age, sex, race/ethnicity, smoking, batch,

277 ancer (ascertained from death certificates), adjusting for age, sex, race/ethnicity, year of cancer d

278 n (hazard ratios [HRs]) to compare survival, adjusting for age, sex, SES, and clinical prognostic mar

279 After adjusting for age, sex, severity of illness, comorbidity

280 ervals for incident cortical cataract, after adjusting for age, sex, smoking status, hypertension, di

281 ng discrete logistic regression models after adjusting for age, sex, smoking status, serum lipid leve

282 These differences remained significant after adjusting for age, sex, smoking, and number of BP infusi

283 erquartile pollutant changes from Cox models adjusting for age, sex, smoking, body mass index, and ar

284 After adjusting for age, sex, smoking, body mass index, and in

285 CI, 0.28 to 0.57) remained significant after adjusting for age, sex, smoking, educational attainment,

286 ssion with generalized estimating equations, adjusting for age, sex, socioeconomic position, causes o

287 tatus of each CpG as the dependent variable, adjusting for age, sex, study site, and T-cell purity as

288 associated with fasting insulin levels after adjusting for age, sex, technical covariates, and comple

289 5-0.99), and this association remained after adjusting for age, sex, thickness, and mitosis.

290 using multinomial logistic regression models adjusting for age, sex, traditional risk factors, and mu

291 independent predictor of OS (P = .032) after adjusting for age, sex, treatment, tumor size, and porta

292 g the antidepressant group as the reference, adjusting for age, sex, years with dementia, presence of

293 After adjusting for age, smoking, alcohol abuse, and nonimmuno

294 we used the Cox proportional hazards model, adjusting for age, smoking, and population density.

295 , or total) using generalized linear models, adjusting for age, stage of disease, and (neo)adjuvant t

296 survival (OS) on exposure (pregnant or not), adjusting for age, stage, grade, hormone receptor status

297 Adjusting for age, the odds of reinfection was 4 times h

298 After adjusting for age, time between hospitalization and data

299 increased CV events between ages 40-60 after adjusting for age, tobacco smoking, viral load, and trad

300 ted, stratified for sex and region of birth, adjusting for age using a Cox regression model including