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

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

4 unilateral or bilateral VI were > 10% after adjusting for age.

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

6 After adjusting for age, AD POAG patients had different phenot

7 ality was higher among people with HIV after adjusting for age (adjusted hazard ratio [aHR] 1.47, 95%

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

9 and bivariate quantitative genetic analyses adjusting for age, age(2), sex, their interactions and B

10 Logistic regression analyses adjusting for age, all the sociodemographic factors abov

11 etween night-shift work and prostate cancer, adjusting for age, ancestry, and education.

12 ns of density measures with breast cancer by adjusting for age and body mass index.

13 ed to physical functioning (p=5.9e-3), after adjusting for age and cell counts.

14 fect of sex on FTP-signal for each ROI after adjusting for age and cohort.

15 58-2.90, P<0.0001), respectively, even after adjusting for age and comorbidity.

16 een DYT-TOR1A and other monogenic dystonias, adjusting for age and disease duration and (iii) weighte

17 agnosis and less cognitive impairment, after adjusting for age and disease duration.

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

19 between elevated triglycerides and RE after adjusting for age and gender (adjusted OR(alpha) = 1.171

20 s showed the largest CDR and disc area after adjusting for age and gender (all P < 0.05).

21 compared to that among a control population, adjusting for age and gender.

22 groups before (P > 0.09) or after (P > 0.14) adjusting for age and gender.

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

24 After adjusting for age and iris color, qAF and RPE/BM complex

25 After adjusting for age and left ventricular ejection fraction

26 ly associated with the presence of HCC after adjusting for age and liver fibrosis stage, likely refle

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

28 global deficit score (P = 0.005), even after adjusting for age and nadir CD4 count.CONCLUSIONHIV-infe

29 ury (odds ratio, 2.7; 95% CI, 1.4-4.9) after adjusting for age and National Institutes of Health Stro

30 the control group at 1 year (P = 0.066) when adjusting for age and nuclear opacity.

31 n the home had more severe MG dropout, after adjusting for age and other confounders.

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

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

34 We also compared the 22 women to all 39 men, adjusting for age and race as covariates.

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

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

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

38 and multivariate (logistic regression after adjusting for age and sex) analyses were performed to as

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

40 After adjusting for age and sex, baseline aneurysm size was 0.

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

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

43 After adjusting for age and sex, each unit increase in LAD (mm

44 Analyses of covariance, adjusting for age and sex, examined differences between

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

46 n and severity of histological damage (after adjusting for age and sex, p = 0.05 and p = 0.02, respec

47 After adjusting for age and sex, very low BMD remained associa

48 oughout recovery versus those without, after adjusting for age and sex.

49 Generalized linear models were used, adjusting for age and sex.

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

51 ts with IBD compared to those with NIC after adjusting for age and sex.

52 , presymptomatic carriers, and non-carriers, adjusting for age and sex.

53 regression model was used to compare groups, adjusting for age and sex.

54 COVID-19 death than those without HIV after adjusting for age and sex: hazard ratio (HR) 2.90 (95% C

55 med univariate and multivariable statistics, adjusting for age and signal strength.

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

57 ion compared to cognitively normal controls, adjusting for age as a covariate.

58 transformed fasting glucose change over time adjusting for age at baseline, sex, and principal compon

59 transplantation as a censoring event, after adjusting for age at diagnosis and sex (Stanford HR=2.30

60 uate microbleeds on neurocognitive outcomes, adjusting for age at diagnosis and sex.

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

62 After adjusting for age at diagnosis, age at questionnaire, em

63 S (representing highest composite exposure), adjusting for age at diagnosis, sex and other covariates

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

65 After adjusting for age at last observation, this effect was n

66 .6; 95% confidence interval, 1.1-2.4), after adjusting for age, background, education, marital status

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

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

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

70 The results were similar after adjusting for age, body height, and scanning radius.

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

72 and serum thyroid function and autoimmunity, adjusting for age, body mass index (BMI), specific gravi

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

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

75 nd livebirth were modified by folate intake, adjusting for age, body mass index, race, smoking, educa

76 316 metabolites with 4 diet quality indexes, adjusting for age, body mass index, smoking, energy inta

77 empts changed before and after the abortion, adjusting for age, calendar year, socioeconomic status,

78 tegorical trial variable as a random effect, adjusting for age, cancer type, and metastatic status.

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

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

81 y associated with increased mortality, after adjusting for age, clinical and echocardiographic parame

82 After adjusting for age, comorbidities, and hospital effects,

83 eness was estimated with logistic regression adjusting for age, comorbidities, and other confounding

84 1).The difference remained significant after adjusting for age, current sexual relationship, and hist

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

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

87 After adjusting for age, disc area, and other confounders, sig

88 sted specifications are reported, the latter adjusting for age, education level, marriage length, pol

89 An intention-to-treat analysis was done, adjusting for age, education, and baseline measure of th

90 We used conditional logistic regression adjusting for age, education, hypertension, diabetes, wa

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

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

93 sites, we performed an association analysis adjusting for age, estimates of cell proportions, smokin

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

95 Adjusting for age, ethnicity, and socioeconomic status,

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

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

98 After adjusting for age, gender, Acute Physiology and Chronic

99 After adjusting for age, gender, and baseline RV/LV ratio, pul

100 After adjusting for age, gender, and cardiovascular risk facto

101 After adjusting for age, gender, and comorbidities, chemothera

102 en IMD-W and other serogroups remained after adjusting for age, gender, and comorbidities.

103 caused by meningococci serogroup B, Y, or C, adjusting for age, gender, and comorbidities.

104 reased in SCH patients compared to HCs after adjusting for age, gender, and education.

105 P-2: 13.10 vs. 8.82 ng/mL, p = 0.0003) while adjusting for age, gender, and intraocular pressure.

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

107 survival via proportional hazards modeling, adjusting for age, gender, and transplant indication.

108 In multivariable analysis adjusting for age, gender, axial length, presence of cat

109 After adjusting for age, gender, baseline BCVA and AMD subtype

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

111 Hazard rate ratios were obtained while adjusting for age, gender, calendar period, education, h

112 After adjusting for age, gender, ethnicity, intraocular pressu

113 After adjusting for age, gender, ethnicity, MAP, IOP, body mas

114 95% CI, 0.75-0.79 mmHg), respectively, after adjusting for age, gender, glaucoma, age-related macular

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

116 uding a gene-supplement interaction term and adjusting for age, gender, level of education, and smoki

117 After adjusting for age, gender, Pediatric Risk of Mortality s

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

119 The aOR of virologic suppression, after adjusting for age, gender, race, body mass index, estima

120 3% increased odds of in-hospital death after adjusting for age, gender, race, body mass index, past m

121 ivariate logistic regression analysis, after adjusting for age, gender, transplant indication, and an

122 After adjusting for age, geography, and subspecialty, women op

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

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

125 xamine sex differences for the top ten HSMs, adjusting for age, height, lean and fat mass.

126 ean body temperature in men and women, after adjusting for age, height, weight and, in some models da

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

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

129 se (adjusted odds ratio 3.90, p<0.001) after adjusting for age, HIV status, and condom use.

130 e (adjusted odds ratio 3.90; P < .001) after adjusting for age, human immunodeficiency virus status,

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

132 tio 2.96 [95% CI 1.48-5.92]; P = .002) after adjusting for age, income, urbanization, and comorbiditi

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

134 After adjusting for age, iris color, and gender, the correlati

135 or predicting reduced muscle endurance after adjusting for age (log10 GDF-15 [pg/mL] [B, -54.3 (95% C

136 After adjusting for age, marital status, material deprivation

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

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

139 oportional hazards regression was performed, adjusting for age, on the matched participants to evalua

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

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

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

143 atic infection according to antibody status, adjusting for age, participant-reported gender, and chan

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

145 hese correlations remained significant after adjusting for age (r = 0.41, P = 0.02; r = 0.47, P = 0.0

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

147 After adjusting for age, race, and gender, the OR comparing th

148 We found that adjusting for age, race, and Hispanic ethnicity altered

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

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

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

152 rates of visual field loss over time, while adjusting for age, race, central corneal thickness, and

153 een large cup-to-disc ratio and 3MSE scores, adjusting for age, race, diabetes, body mass index, card

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

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

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

157 did not reach statistical significance after adjusting for age, race, HIV risk group, and cohort.

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

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

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

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

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

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

164 confidence intervals: 1.47, 1.01-2.14) after adjusting for age, service specialty, body mass index, w

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

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

167 After adjusting for age, sex and alcohol use, white and other

168 s of death did not differ by ethnicity, when adjusting for age, sex and comorbidities, black patients

169 s were compared using analysis of covariance adjusting for age, sex and education.

170 s of interest tau uptake from tau-PET) after adjusting for age, sex and hypertension.

171 After adjusting for age, sex and race, odds ratio of inflammat

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

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

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

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

176 ssed with Cox proportional hazards analysis, adjusting for age, sex, and centre.

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

178 elative risk, 0.96; 95% CI, 0.77-1.19) after adjusting for age, sex, and comorbidities.

179 ementia in Cox proportional hazards analyses adjusting for age, sex, and disease duration (hazard rat

180 associated with Alzheimer's dementia, after adjusting for age, sex, and education.

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

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

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

184 med by using multinomial logistic regression adjusting for age, sex, and LV parameters.

185 lity was not statistically significant after adjusting for age, sex, and multisystem organ dysfunctio

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

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

188 ssociated with a 72% higher risk of HF after adjusting for age, sex, and race and for other potential

189 After adjusting for age, sex, and race, annual all-cause morta

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

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

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

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

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

195 in a multivariable logistic regression model adjusting for age, sex, and season.

196 trophy in suspected sites of disease origin, adjusting for age, sex, and severity of cognitive impair

197 nd adults, using linear mixed-effects models adjusting for age, sex, and site (and intracranial volum

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

199 ial regression to allow for multiple events, adjusting for age, sex, and study.

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

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

202 e logistic regression analysis was performed adjusting for age, sex, and trigger groups.

203 as interactive predictors of tau deposition, adjusting for age, sex, APOE epsilon4 status, and the ti

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

205 When adjusting for age, sex, ARMS2 and CFH risk alleles, and

206 anesthesia (OR, 4.71; 95% CI, 1.20, 18.50), adjusting for age, sex, ASA class, anesthesia type, inpa

207 an airway pressure; 95% CI, 1.10-1.74) after adjusting for age, sex, baseline Acute Physiology and Ch

208 ng and multiple logistic regression analyses adjusting for age, sex, betel nut consumption, and smoki

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

210 genome-wide association study was performed adjusting for age, sex, BMI and nine population principa

211 P = .01); this relationship persisted after adjusting for age, sex, BMIZ, elevated BP, and hyperchol

212 After adjusting for age, sex, body mass index (BMI), and tonsi

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

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

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

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

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

218 rdiac function and retinal microvasculature, adjusting for age, sex, body mass index, mean blood pres

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

220 hese associations remained significant after adjusting for age, sex, body mass index, type 2 diabetes

221 abolites by linear regression analysis while adjusting for age, sex, body-mass index, technical covar

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

223 ard ratio was 2.48 (95% CI, 1.29-4.78) after adjusting for age, sex, cardiovascular risk factors (hyp

224 and ADI effects on global and regional GMV, adjusting for age, sex, CD4 nadir, drug use and total in

225 incidence of respiratory exacerbations after adjusting for age, sex, current smoking, body mass index

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

227 line differences between cases and controls, adjusting for age, sex, deprivation, and clustering by g

228 ultiple sclerosis using mixed-effects models adjusting for age, sex, disease duration, optic neuritis

229 Multivariate analysis showed that after adjusting for age, sex, education, and MELD-Na, performa

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

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

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

233 y comparing survivors versus close contacts, adjusting for age, sex, educational level, marital statu

234 reased central macular ChT (P < .001), after adjusting for age, sex, ethnicity, and ocular measures.

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

236 d using robust logistic quantile regression, adjusting for age, sex, ethnicity, education level, smok

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

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

239 analysis was done using fixed effects models adjusting for age, sex, FEV(1), and trial.

240 This association remained after adjusting for age, sex, height, smoking status, use of a

241 (per 1 SD of deficit) and incident fracture, adjusting for age, sex, height, weight, and cohort, and

242 In the multivariable analysis adjusting for age, sex, hepatitis B e antigen serostatus

243 compare outcomes in rural versus urban areas adjusting for age, sex, income, ethnicity, smoking, phys

244 g a multivariable logistic regression model, adjusting for age, sex, indigenous status, Pediatric Ind

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

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

247 AV gradient >20.0 mm Hg (moderate AS) after adjusting for age, sex, left ventricular systolic or dia

248 After adjusting for age, sex, listing status, and inotrope req

249 prior HTN (OR 1.31, 95% CI 1.29-1.33) after adjusting for age, sex, monthly income, geographic locat

250 After adjusting for age, sex, nutritional status, and parasite

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

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

253 raits as well as pharmacodynamic end points, adjusting for age, sex, race, and BMI.

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 irment (aOR = 3.45, 95% CI: 2.20-5.41) after adjusting for age, sex, race, and income.

257 ere compared using a quasi-likelihood method adjusting for age, sex, race, and smoking-status.

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

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

260 ges in lung function over time were modeled, adjusting for age, sex, race, atopy, group, and bronchod

261 (log10 VL = 3.3 versus 4.0; P = 0.018) after adjusting for age, sex, race, body mass index, and comor

262 15 and the primary end point persisted after adjusting for age, sex, race, body mass index, estimated

263 d with IRD kidney acceptance versus decline, adjusting for age, sex, race, diagnosis, and dialysis ti

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

265 ions (2.81, 1.69-4.67; p=0.0001), even after adjusting for age, sex, race, genotype, CFTR modulator,

266 lt for SARS-CoV-2 in African Americans after adjusting for age, sex, race, smoking history, and vario

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

268 rtality over 5 years using regression models adjusting for age, sex, race, socioeconomic status, date

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

270 Piecewise linear mixed-effects models adjusting for age, sex, race/ethnicity, baseline BMI, na

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

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

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

274 rformed a multivariable logistic regression, adjusting for age, sex, race/ethnicity, region, zip code

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

276 variable logistic regression to estimate VE, adjusting for age, sex, rurality, income quintile, cance

277 GWAS on standardized log-transformed 25OHD, adjusting for age, sex, season of measurement, and vitam

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

279 fore (HR = 1.47, 95% CI = 1.0-2.2) and after adjusting for age, sex, site, race, family history of me

280 all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment t

281 l disease (odds ratio [OR] = 0.6, P < 0.05), adjusting for age, sex, smoking status, FPL, education l

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

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

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

285 c survival (DSS) and overall survival times, adjusting for age, sex, stage at diagnosis, and study po

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

287 rformed using a logistic mixed-effects model adjusting for age, sex, the first 4 principal components

288 5-0.99), and this association remained after adjusting for age, sex, thickness, and mitosis.

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

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

291 After adjusting for age, sex, type of atrial fibrillation, lef

292 isk of CVD using linear mixed effects models adjusting for age, sex, wear time, and familial structur

293 g cubic splines and quartile classifications adjusting for age; sex; race/ethnicity; education; diet;

294 ssociated with colon polyp types, even after adjusting for age, smoking, and body mass index or waist

295 In Cox proportional hazards models adjusting for age, smoking, and other factors, total bas

296 ssion models assessed correlates of non-RTW, adjusting for age, stage, comorbidities, and socioeconom

297 e interval 1.01-7.40, p-value = 0.047)-after adjusting for age, time period (before or after 2010), a

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

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

300 After adjusting for age, waist-to-hip ratio (WHR), glycated he