ライフサイエンスコーパス: ethnicity

1 tients [80.8%] self-identified as white race/ethnicity).

2 15.6% in men and 1.0-11.2% in women of other ethnicities).

3 mphocytes, eosinophils, basophils) differ by ethnicity.

4 recommend to compute residual risk based on ethnicity.

5 lack race, and 505 (6.7%) reporting Hispanic ethnicity.

6 the variance in methylation associated with ethnicity.

7 (3.9) years and who were all of South Asian ethnicity.

8 ence of sideroblastic anemia irrespective of ethnicity.

9 significant association with sex or Chinese ethnicity.

10 (BSA) and stratified by age, sex, race, and ethnicity.

11 ts (75.7%) who self-identified as white race/ethnicity.

12 s in the PM2.5-mortality association by race/ethnicity.

13 lic syndrome in young adulthood, across race/ethnicity.

14 sentative of the population by age, sex, and ethnicity.

15 to assess the effects of age, sex, race, and ethnicity.

16 valence and outcome on the basis of race and ethnicity.

17 array and the use of these probes to predict ethnicity.

18 50.88% were men, and 61.05% were white race/ethnicity.

19 ration), hypertension, maternal age, parity, ethnicity.

20 odds of underreporting did not vary by race/ethnicity.

21 pe (medical examiner versus coroner) or race/ethnicity.

22 Strength of association varied by race/ethnicity.

23 rant parents from mainland China of the same ethnicity.

24 ed by sex and sexual behavior, age, and race/ethnicity.

25 emergence, adjusting for age, sex, and race/ethnicity.

26 aried across statin molecules, sex, and race/ethnicity.

27 7.2% non-Hispanic black, and 7.7% other race/ethnicity.

28 ve to the general population irrespective of ethnicity.

29 n, Indian, Pakistani, white other, and mixed ethnicity.

30 worked well across subgroups of sex and race/ethnicity.

31 Hispanic, and 26 (33%) were other/mixed race/ethnicity.

32 n-making are impacted if using self-reported ethnicity.

33 black, and 26% of children were of Hispanic ethnicity.

34 olling for sex, age, site, smoking, and race/ethnicity.

35 oportional hazards models stratified by race/ethnicity.

36 nt contrast, laterality, gender, and/or race/ethnicity.

37 ifferent effects according to cancer type or ethnicity.

38 s the association between MCH indicators and ethnicity.

39 Americans that are different in language and ethnicity.

40 duce the impact of DR in Asia, regardless of ethnicity.

41 ies by insurance coverage but not by race or ethnicity.

42 f patients with Ph-like ALL were of Hispanic ethnicity.

43 re Hispanic, and 1555 (13%) were other races/ethnicities.

44 re also diverse across human populations and ethnicities.

45 ior coronary heart disease in four different ethnicities.

46 ely associated among children of other races/ethnicities.

47 loci have been associated with IBD in other ethnicities.

48 structure of linkage disequilibrium between ethnicities.

49 o retinitis pigmentosa families of different ethnicities.

50 ast Asian populations and in people of other ethnicities.

51 20% Blacks, 36.7% Whites, and 14.3% in mixed ethnicities.

52 s or older (1.16 [1.06-1.26]), nonwhite race/ethnicity (1.18 [1.07-1.30]), hospitalization on the Wes

53 ange, 26-61 years; 4 female; 4 of white race/ethnicity, 1 Asian, and 1 Hispanic), 5 exhibited an auto

54 ses by ethnicity and age were 21.4% in mixed ethnicities, 10.2% Whites, 4.5% Asians, 3.1% Hispanics,

55 ispanics, 49 Whites, 22 Asians, and 14 mixed ethnicities; 142 infants (1 to 11 months), 39 children (

56 ce (56.9%) with black race (16.7%), Hispanic ethnicity (15.8%), and Asian race (2.8%) comprising the

57 e female, 56.7% (n = 114) were of white race/ethnicity, 26.9% (n = 54) were black/African American, 4

58 n was most common among women of white other ethnicity (30.1%).

59 After adjusting for race/ethnicity, 4 taxa were positively associated with GBS, a

60 hite, 9% were black, and 23% were other race/ethnicity), 88 had serious respiratory morbidity, 257 in

61 associated independently with self-reported ethnicity (95% CI, -0.10 to 0.29; P = 0.335).

62 itals, regardless of individual patient race/ethnicity (adjusted odds ratio, 0.65; 95% CI, 0.50-0.84

63 dence intervals associated with SEP and race/ethnicity, adjusted for sex, age, and year of diagnosis,

64 Results from age- and race/ethnicity-adjusted linear regression analyses indicated

65 nce a patient possesses and a patient's race/ethnicity affect receipt of common tests to monitor open

66 tent by which health insurance type and race/ethnicity affected the odds of undergoing glaucoma testi

67 independent variables on each outcome: sex, ethnicity, age at death, index of multiple deprivation q

68 72, respectively) and when adjusted for race/ethnicity, age, and sex (adjusted risk ratio, 1.23; 95%

69 Raking by race/ethnicity, age, and stage generated weighted average PRO

70 Persons of Malay, Indian, and Chinese ethnicity aged 40+ years, living in Singapore.

71 Results were consistent in cross-ethnicity analyses among the MESA Hispanic-Americans coh

72 nterpret as they include migrants of various ethnicities and countries of origin.

73 parison of the genetic structure of Siberian ethnicities and the geography of the region they inhabit

74 ed Rank Regression (sRRR) and correcting for ethnicity and age at birth and imaging.

75 The yields of positive cases by ethnicity and age were 21.4% in mixed ethnicities, 10.2%

76 The patients were matched for ethnicity and age.

77 ntation on bone health and suggest that race/ethnicity and BMI play an important role in pregnancy bo

78 arities in exposure to air pollution by race-ethnicity and by socioeconomic status have been document

79 med to describe the association between race/ethnicity and effectiveness of new direct-acting antivir

80 screening rates among children vary by race/ethnicity and family income.

81 participation and degree attainment by race/ethnicity and gender.

82 ies between the two sources of self-reported ethnicity and genetic ancestry.

83 We found that both self-identified ethnicity and genetically determined ancestry were each

84 Understanding the link between ethnicity and health is critical to making appropriate p

85 cted to examine the association between race/ethnicity and hospital mortality, adjusting for demograp

86 emporal trends overall and according to race/ethnicity and intent in fatal and nonfatal firearm injur

87 Age, sex, ethnicity and left ventricular structural parameters wer

88 e linear regression model adjusting for age, ethnicity and maternal education, mothers with GDM had n

89 sion about how the relationship between race/ethnicity and obesity in the United States is consistent

90 sed to evaluate the association between race/ethnicity and palliative care use within and between the

91 African-American race/Hispanic ethnicity and requirement for more than 1 antihypertensi

92 affirm that FPM/SPM emergence varies by race/ethnicity and sex and is positively influenced by BMI.

93 nces persisted after adjustment for parental ethnicity and smoking, prenatal glucocorticoid administr

94 ression of CKD also vary within countries by ethnicity and social determinants of health, possibly th

95 CRC among Medicare patients differs by race/ethnicity and whether this potential variation is accoun

96 pants from MESA, aged 45 to 84 years, from 4 ethnicities, and 6 centers across the United States were

97 us to distinguish between different genders, ethnicities, and ages (within 10 years).

98 Number of prescriptions, language, race/ethnicity, and age were associated with increased rates

99 ween residence in poor and urban areas, race/ethnicity, and asthma morbidity among children with asth

100 ninfected veterans matched by age, sex, race/ethnicity, and clinical site, enrolled on or after April

101 nteractions of ECT with age group, sex, race/ethnicity, and diagnosis group.

102 year, specific diagnoses, minority race and ethnicity, and disadvantaged socioeconomic status.

103 tment for maternal age, marital status, race/ethnicity, and education, the risk ratio was 1.68 (95% C

104 MRs) for SLE and non-SLE causes by sex, race/ethnicity, and geographic region; multiple logistic regr

105 ls adjusted for demographics (age, sex, race/ethnicity, and income level), alcohol and tobacco use, d

106 lations based on household composition, race/ethnicity, and income.

107 filter and matched controls, age, sex, race/ethnicity, and Injury Severity Score were entered into a

108 of body mass index, diet and exercise, race/ethnicity, and minimal (</=2 weeks) antipsychotic exposu

109 th and mortality outcomes differ by race and ethnicity, and non-Hispanic white persons experience low

110 relationship status, primary language, race/ethnicity, and number of prescriptions.

111 n about comorbidities, socioeconomic status, ethnicity, and region.

112 e distribution of socioeconomic status, race/ethnicity, and sex in the U.S.

113 HEU participants, controlling for age, race/ethnicity, and sex.

114 erted to z-scores predicted for age, height, ethnicity, and sex.

115 he role of potential risk factors (age, sex, ethnicity, and social deprivation).

116 survival showed donor cardiac disease, black ethnicity, and steatosis to be additional risk factors.

117 049 (54.8%) were identified as white in race/ethnicity, and the median (interquartile range) age was

118 panic or Latino, 9 (2.5%) were of other race/ethnicity, and the median left ventricular ejection frac

119 dels adjusted for age, sex, body mass index, ethnicity, and the medical condition for which the medic

120 25-64 years by age group, sex, and race and ethnicity, and to identify specific causes of death unde

121 as used to control for state, age, sex, race/ethnicity, and year, with Taylor series linearized stand

122 -cancer-free women aged 35-85 years, from 40 ethnicity- and location-specific population groups acros

123 Compared with the MESA cohort, the race/ethnicity- and sex-adjusted risk of AMD in LSOCA was 1.7

124 ity; five for a different gender and/or race/ethnicity; and 15 in the opposite direction and for a di

125 emented EthSEQ to provide reliable and rapid ethnicity annotation from whole exome sequencing individ

126 ause persisted after adjustment for Hispanic ethnicity, antiretroviral use, and alcohol (0.10 FIB-4 u

127 Other covariates included age, sex, race/ethnicity, anxiety or mood disorders, family history of

128 differences adjusted for age, sex, and race/ethnicity (ARDs) assessed trends from the 2004-2005 to 2

129 Black race and Hispanic ethnicity are independently associated with mortality in

130 Age, sex, and race/ethnicity are nonmodifiable risk factors for both ischem

131 Data on interval CRC by race/ethnicity are scant.

132 s, and 2839 (85.6%) self-reported their race/ethnicity as white.

133 ion rates by stroke type, age, sex, and race/ethnicity, as well as the prevalence of associated risk

134 a significant enrichment (p=4.2x10(-64)) of ethnicity-associated sites amongst loci previously assoc

135 ltiethnic Asian populations, thus warranting ethnicity-based strategies to delay the onset or progres

136 probes, after adjustment for age, sex, race/ethnicity, batch effects, inflation, and multiple compar

137 te infants was 3381 g, while for other races/ethnicities birth weight ranged from being 289 g smaller

138 ession analyses, adjusting for maternal age, ethnicity, birth country and weight, as well as infant g

139 In multiple linear regression adjusting for ethnicity, BMI, LDL and duration of T1D, patients with p

140 s models, with adjustment for age, sex, race/ethnicity, body mass index, diabetes status, diagnosis y

141 ted participant-related variables (age, race/ethnicity, body mass index, season of study participatio

142 After adjustment for age, sex, and race/ethnicity-body mass index (BMI) interaction, for the equ

143 Hispanic ethnicity, bonded release, and psychiatric comorbidity w

144 ies in testing are observed across all races/ethnicities but were most notable for blacks.

145 Adjustment for PDR did not alter HRs by race/ethnicity, but differences between black persons and whi

146 s were reported for 19 geographical areas or ethnicities by sex, age group, and cancer type.

147 ns were robust in subgroup analysis based on ethnicity, cancer type, methylation detection method, an

148 alysis included adjustment for demographics, ethnicity, cardiovascular risk factors, serological stud

149 ntly associated with black and Hispanic race/ethnicity, change in systolic blood pressure, LV mass an

150 Our analysis highlights the unreliability of ethnicity classification based on patient self-reports.

151 Patient age, sex, ethnicity, clinical features, and phototesting outcomes.

152 ent-level covariates included age, sex, race/ethnicity, comorbidities, and procedure indication/statu

153 ratio [OR], 1.22; 95% CI, 1.05-1.41), Indian ethnicity (compared with Malay ethnicity; OR, 3.58; 95%

154 were similar across models and included race/ethnicity (concentrations in non-European groups were lo

155 eNZB against gonorrhoea after adjustment for ethnicity, deprivation, geographical area, and sex was 3

156 ariables including age, sex, ABO blood type, ethnicity, donor type and recipient variables including

157 There was no significant difference in ethnicity, duration of T1D, blood pressure, body mass in

158 individual age, sex, nonwhite race, Hispanic ethnicity, education, and marital status, as well as zip

159 els considered factors such as gender, race, ethnicity, education, body mass index, chronic obstructi

160 Models were adjusted for age, sex, race/ethnicity, education, employment status, tobacco use, an

161 merican Community Survey (ACS) included race/ethnicity, education, income, poverty, unemployment, hom

162 Response was related to age, state, race/ethnicity, education, marital status, smoking, and alcoh

163 ion analyses adjusted for maternal age, race/ethnicity, education, prenatal fine particulate matter e

164 n model that included patient age, sex, race/ethnicity, Elixhauser comorbidities, and the year that t

165 sion, adjusting for maternal education, race/ethnicity, enrollment in public pre-Kindergarten, and ge

166 -analyses have combined studies of different ethnicities, environments and even studies of different

167 m >60 000 individuals belonging to different ethnicities (Exome Aggregation Consortium resource).

168 y significant effects by age, sex, race, and ethnicity for all outcomes, but all effects were clinica

169 Z scores independent of age, sex, race, and ethnicity for each measurement.

170 dentified with respect to age, sex, and race/ethnicity from 4613 patients against a gold standard inc

171 tsal-3]) and vaccine and screening uptake by ethnicity (from Public Health England [PHE]) and fitting

172 Self-reported ethnicity gathered from test requisition forms and durin

173 lness after adjusting for age, income, race, ethnicity, geographic location, and marital status (adju

174 use was highest among white other and mixed ethnicity groups (25.6-27.7% in men and 10.3-12.9% in wo

175 45 to 84 years without known CVD from 4 race/ethnicity groups (white [38.5%], African American [27.5%

176 -12.9% in women in the white other and mixed ethnicity groups vs 4.1-15.6% in men and 1.0-11.2% in wo

177 Health and Aging (GERA) cohort, in four race/ethnicity groups: non-Hispanic whites, Hispanic/Latinos,

178 genetic similarities and differences across ethnicities have been observed, providing further eviden

179 Though disparities in birth weight by race/ethnicity have been extensively reported in the United S

180 Age, sex, race, and ethnicity have small effects on the Z scores that are st

181 rmal echocardiogram included age, sex, race, ethnicity, height, weight, echocardiographic images, and

182 ogistic regression models adjusting for race/ethnicity, history of Medical Assistance, and mode of bi

183 atient characteristics, namely age, sex, and ethnicity; however, several patient-level variables coul

184 5% CI: 0.62-0.92]) and patients with "other" ethnicity (HR, 0.71; 95% CI, 0.55-0.92) were less likely

185 nvestigated the reliability of self-reported ethnicity in 9138 subjects referred to carrier screening

186 anges in vaccination and screening uptake by ethnicity in England, over time.

187 (n = 10,515) suggested that lack of data on ethnicity in this population (in which national statisti

188 have occurred, regardless of age, sex, race/ethnicity, income, education, or hypertension status, up

189 Linear regression adjusted for age, ethnicity, infection site, and calendar year showed a si

190 Linear regression adjusted for age, ethnicity, infection site, and calendar year showed a si

191 rent individuals, giving accurate gender and ethnicity information from those fingerprints.

192 egression model, adjusted for age, sex, race/ethnicity, initial TT indication, reinsertion of TT, ade

193 ltivariable analysis that included age, race/ethnicity, initial WBC, and day-29 minimal residual dise

194 ss both groups, adjusting for age, sex, race/ethnicity, Injury Severity Score, and brain injury sever

195 To determine whether minority race or ethnicity is associated with mortality and mediated by h

196 Stratification of individual's ethnicity is fundamental for the correct interpretation

197 ith fully customised centiles accounting for ethnicity is warranted.

198 Among the entire cohort, Hispanic ethnicity, male sex, VAT, and HOMA-IR were independently

199 Sex, age, ethnicity, marital status, social deprivation, severity

200 th in children with ALL and age, gender, and ethnicity matched controls to identify potential causal

201 raphy and were compared with 30 age and race/ethnicity-matched controls from a database of 277 health

202 scan of 466 BAV cases and 4,660 age, sex and ethnicity-matched controls with replication in up to 1,3

203 with retinal degeneration and not present in ethnicity-matched controls.

204 ar regression for sex, gestational age, race/ethnicity, maternal BMI, study site, and socioeconomic s

205 Irrespective of race/ethnicity, Medicaid recipients with OAG are receiving su

206 Ethnicity moderated outcomes, with Hispanic youth having

207 body mass index and determined whether race/ethnicity moderated these relationships.

208 gression, while adjusting for age, sex, race/ethnicity, modified Charlson comorbidity index, smoking,

209 nic (n = 157), and 9.9% were of another race/ethnicity (n = 71).

210 Sex, age, race/ethnicity, neighborhood education and poverty levels, ge

211 itial diabetes mellitus diagnosis, sex, race/ethnicity, net worth, and glycated hemoglobin A1c fracti

212 birth weight differences among 14 races and ethnicities (non-Hispanic white, non-Hispanic Black, Ame

213 each TFA and their sum by age, sex, and race/ethnicity (non-Hispanic white, non-Hispanic black, Mexic

214 In multivariable analysis, white race/ethnicity (odds ratio [OR], 2.72; 95% CI, 1.00-7.38; P =

215 The self-reported race/ethnicity of participants consisted of 45 (46%) black, 4

216 The race/ethnicity of the child participants was 45% (n = 45) bla

217 ariation and health, disease, geography, and ethnicity of the host may be important for understanding

218 Effects of ethnicity on D2R were not driven by variation in dopamin

219 urbanization, neighborhood poverty, and race/ethnicity on rates of asthma outpatient visits, ED visit

220 nection, however, including the influence of ethnicity on the association between age-related macular

221 To identify the influence of ethnicity on VSF among Chinese, Malay, and Indian patien

222 evaluating discrimination attributed to race/ethnicity or to a combination of other sources.

223 Asian American ethnicity (OR </=0.9; P </= 0.049) and HFE C282Y (OR </=

224 Self-reported Asian ethnicity (OR = 0.51; CI, 0.39-0.65), needing assistance

225 ty (OR: 1.8; P < 0.001) and African American ethnicity (OR: 1.6; P < 0.001) were associated with an i

226 Hispanic ethnicity (OR: 1.8; P < 0.001) and African American ethn

227 ment and not associated with gestation, race/ethnicity, or sex.

228 tates with no restrictions on age, sex, race/ethnicity, or socioeconomic status.

229 carrier screening be offered on the basis of ethnicity, or when using expanded carrier screening pane

230 1.41), Indian ethnicity (compared with Malay ethnicity; OR, 3.58; 95% CI, 1.95-6.60), hypertension (O

231 harder-to-recruit women also enrolled (race/ethnicity other than non-Hispanic white: 16%; no college

232 1 for all comparisons), black race or Latino ethnicity (P < 0.0001 for both), male sex (P < 0.0001),

233 0 SNPs, rs564799 in IL12A was shared in both ethnicities (Padjust = 5.91 x 10(-4); odds ratio = 1.22,

234 ty in the incidence of HPV-related cancer by ethnicity, partly due to herd immunity disproportionatel

235 den and hospital utilization by sex and race/ethnicity persist.

236 s, our results suggest that inflammation and ethnicity play a major role in the modulation of CRC ris

237 ntly important effects include minority race/ethnicity, poor social supports, and poor perceived heal

238 study with group matching on age, sex, race/ethnicity, probation time, and offense at 2 urban agenci

239 panic (IRR, 1.11; 95% CI, 1.03 to 1.20) race/ethnicity; public insurance (IRR, 1.37; 95% CI, 1.23 to

240 horts varied considerably in age, education, ethnicity/race, and APOE-e4 allele frequency.

241 ore when added to the Framingham risk score, ethnicity/race, and socioeconomic status.

242 ntial differences in risk factors by sex and ethnicity/race.

243 for GBD affecting men and women of different ethnicities/races; however some risk factors appear stro

244 dividuals, a structure that varies with age, ethnicity, refraction, IOP, and smoking.

245 risk = 1.10; 95% CI, 1.04-1.16) and Hispanic ethnicity (relative risk = 1.08; 95% CI, 1.02-1.14) as i

246 ine characteristics, black race and Hispanic ethnicity remain independent predictors of treatment fai

247 ntribution to phenotypic differences between ethnicities remains unclear.

248 The authors provided cross-ethnicity replication in the MESA Hispanic-American part

249 val [CI], 1.14-1.75), Asian/Pacific Islander ethnicity (RR to white, 1.7; 95% CI, 1.22-2.43), detecti

250 rnal age, paternal age, newborn sex, newborn ethnicity, season of delivery, parity, maternal smoking

251 to predict CRC survival, adjusting for age, ethnicity, sex, body mass index, stage, and cancer site.

252 There were no differences in age, race/ethnicity, sex, comorbidities, insurance status, left ve

253 After adjusting for age, race/ethnicity, sex, lens status, time from death to refriger

254 Genetic factors, sex, and ethnicity should be considered in a risk stratification

255 mic analysis of acini from donors of diverse ethnicity showed similar profiles of digestive enzymes a

256 equency of Ph-like ALL in adults of Hispanic ethnicity, significantly inferior outcomes of adult pati

257 Models were adjusted for age, race or ethnicity, smoking, hepatitis C virus infection, alcohol

258 , adjusting for demographic (sex, age, race, ethnicity), socioeconomic (income, education, insurance

259 c data to estimate outdoor exposures by race-ethnicity, socioeconomic characteristics (income, age, e

260 Poisson regression, adjusting for age, sex, ethnicity, socioeconomic status, neighborhood-level depr

261 uth of this latitude, independent of race or ethnicity, socioeconomic status, or body mass index.

262 en the 2 groups, genetic determinants may be ethnicity specific.

263 We used race/ethnicity-specific height (dichotomized by median value

264 posite association between quartiles of race/ethnicity-specific height and ASCVD/AFib events in our m

265 A formal test of interaction between race/ethnicity-specific height and sex was not significant in

266 ed all-cause and cause-specific mortality by ethnicity, standardised by age and sex to this populatio

267 c VI in the better eye were reported by race/ethnicity, state and region, and per capita prevalence o

268 regression models, adjusted for age, gender, ethnicity, Tanner stage, BMI, PA, and batch effect, reve

269 es in NO2 concentrations were larger by race-ethnicity than by income.

270 In both ethnicities, the strongest associations were centered in

271 d in-hospital sepsis mortality rates by race/ethnicity to inform efforts to reduce disparities in sep

272 g analysis were similar in age, sex and race/ethnicity to the overall study populations.

273 NSOFC cases and 16,059 controls from several ethnicities, to identify new NSCLP risk loci, and explor

274 and 623 independent controls of 2 different ethnicities, using molecular inversion probes.

275 ounger age (<40 yrs), Black or Hispanic race/ethnicity versus non-Hispanic White (OR 1.10, 95% confid

276 ssion after adjusting for age, sex, and race/ethnicity was 2.96 (95% CI, 1.60-5.50; P = .001) The odd

277 em, 3575 (47.8%) were female, and their race/ethnicity was 3615 white (48.3%), 2310 black (30.9%), 23

278 Race/ethnicity was a moderator; atypical MDD was a stronger p

279 (OR >49.0; P < 0.001), but African American ethnicity was also associated with increased iron stores

280 Overall, white ethnicity was associated with decreased risk of failure

281 White race/ethnicity was associated with lower diversity but higher

282 ssociated with HO-MRSA BSIs whereas Hispanic ethnicity was negatively associated (rate ratio, 0.41; P

283 ex diagnosis, age, sex, age by sex, and race/ethnicity, was developed and externally validated, showi

284 01), and Hispanic (beta=1.1 mL/m(2), P<0.05) ethnicities were associated with LA volume index.

285 s with variants of uncertain significance by ethnicity were 45.5% in Asians, 45.3% Hispanics, 44.20%

286 an or poor areas and non-Hispanic black race/ethnicity were all independently associated with increas

287 Black race and Hispanic ethnicity were associated with lower rates of sustained

288 ted for patient and hospital factors by race/ethnicity were calculated.

289 and disparities based on sex, age, and race/ethnicity were observed.

290 n-American race, and non-Hispanic white race/ethnicity were significantly associated with HO-MRSA BSI

291 , 49% non-Hispanic white, and 20% other race/ethnicity) were randomly assigned to either FBT or PBT.

292 imes have been shown to vary by sex and race/ethnicity, while recent reports suggest a positive assoc

293 en of Asian, Native American, or unkown race/ethnicity who are referred to as "other." The main outco

294 ve, and 2,360 [11%] declined/missing race or ethnicity) who initiated antiviral treatment with regime

295 ve sub-hazard ratios, for the association of ethnicity with all-cause and cause-specific mortality.

296 tudy aims to examine the association of race/ethnicity with mortality in pediatric patients who recei

297 and Irish) and to assess the association of ethnicity with mortality risk.

298 other, and 4.5% (n = 9) were of unknown race/ethnicity, with 21.9% (n = 44) of all individuals self-i

299 , and 4253 (83.3%) were of European or other ethnicity, with the remainder being Polynesian or South

300 gher in black Caribbean men (8.7%) and mixed ethnicity women (6.7%) than white British participants (