ライフサイエンスコーパス: demographic

1 sensitivity to high temperatures and future demographics.

2 aire on general and dental health, diet, and demographics.

3 with postmortem tau pathology adjusting for demographics.

4 m birth between 2008 and 2012, adjusting for demographics, access to care, and general health service

5 , 1.18-3.30; p < 0.009]) after adjusting for demographics, Acute Physiology and Chronic Health Evalua

6 After demographic adjustment, the risk of surgical delay was s

7 ions affect the strength of population-level demographic Allee effects.

8 ; and (3) untreated depression adjusting for demographics, AMI severity, and clinical factors.

9 agnosed dry eye disease (DED) and associated demographics among US adults aged >/=18 years.

10 th and mortality rates can lead to erroneous demographic analyses and conclusions.

11 Phylogenetic and demographic analyses indicate that Chinese weedy rice wa

12 , few studies have provided fully integrated demographic analyses of migratory populations in respons

13 c studies have provided new insight into the demographic and adaptive history of our species, Homo sa

14 Socio-demographic and anthropometric data [anthropometric meas

15 ear combinations of 19 predictors, including demographic and audiological data, indicators of cochlea

16 Patient demographic and baseline characteristics were well balan

17 The groups were well matched with respect to demographic and baseline physiologic variables.

18 mber and proportion of type 1 vs type 2 MIs, demographic and clinical characteristics among those wit

19 Demographic and clinical characteristics and biopsy find

20 eoplasms by 5-year increments, adjusting for demographic and clinical characteristics.

21 imal and full matching methods to adjust for demographic and clinical characteristics.

22 A structured questionnaire containing demographic and clinical data was developed in order to

23 Deidentified demographic and clinical data were used to explore risk

24 a priori by all possible combinations of 11 demographic and clinical factors (age [35-44, 45-54, 55-

25 Although the demographic and clinical factors predicting the risk for

26 Demographic and clinical factors were compared before an

27 We propose a core dataset including demographic and clinical information to be collected at

28 Baseline demographic and clinical predictors of ICB were analysed

29 to acute stroke services and have a distinct demographic and clinical profile.

30 .48) independent of health behaviours, socio-demographic and diet-related factors, adiposity and othe

31 We integrate demographic and ecological data for a marine apex predat

32 phenotypic plasticity and, specifically, how demographic and ecological variation influence social st

33 e wildlife populations requires insight into demographic and environmental processes acting throughou

34 rtant and largely independent roles for both demographic and genetic processes in driving colonisatio

35 We explore the importance of these demographic and genetic properties for longer term persi

36 Marked demographic and geographic differences exist.

37 We used Demographic and Health Survey data from 34 African count

38 Recent Demographic and Health Survey data from 58 countries (84

39 Demographic and Health Surveys (DHS) conducted throughou

40 We obtained data from Demographic and Health Surveys done between 2010 and 201

41 Household level data from the Demographic and Health Surveys for nine lower-income cou

42 A collection of 61 geo-referenced Demographic and Health Surveys implemented between 1998

43 hold surveys (the Malaria Indicator Surveys, Demographic and Health Surveys, and Multiple Indicator C

44 Demographic and intent data (1999-2013) were collected f

45 After adjustment for demographic and lifestyle factors, we observed an 8% (95

46 s suggested to be associated with some socio-demographic and lifestyle factors.

47 arriers and expanded future demands based on demographic and market forces.

48 omputed by using a model that included these demographic and other dietary factors, as well as survey

49 To evaluate for differences in demographic and photobiological features between persons

50 Patients reported demographic and psychosocial characteristics and medical

51 take risks, after controlling for a range of demographic and socioeconomic characteristics.

52 The VA database was used to abstract demographic and socioeconomic variables, including age,

53 S and NS groups were similar regarding their demographic and surgical characteristics.

54 ion of measles susceptibility in response to demographic and vaccination processes emphasizes the imp

55 of measles cases changes in response to both demographic and vaccination processes.

56 Demographic and vascular risk factors were measured at b

57 The relationship of demographics and cardiovascular risk factors to LA size

58 ased nutrient levels resulting from changing demographics and climatic impacts on hydrology that driv

59 Results Pre-TIPS demographics and clinical characteristics of the two gro

60 Demographics and clinical factors were modeled in a deri

61 Demographics and clinical findings were analyzed at base

62 Beyond the effects of cortisol, demographics and clinical symptoms, NR3C1 variation pred

63 PDR prevalence was calculated by demographics and codon, stratifying by prior ARV experie

64 They were individually matched by demographics and comorbidities to a Medicare enrollee wi

65 required to establish the role of all tests, demographics and phenotypes in diagnosis.

66 e was no difference between groups regarding demographics and predisposing factors for PSH.

67 We evaluated demographics and risk factors for ZIKV infection among o

68 Patients with liver LELC display distinctive demographics and tumor characteristics.

69 trol continuum, with respect to investigator demographics and use of theory, technology, policy, and

70 In multivariate models adjusted for demographics and vascular risk factors, higher levels of

71 me, with subgroup analyses by surgical risk, demographics, and comorbidities.

72 dermoscopically) SK-like melanomas, patient demographics, and interobserver agreement of criteria we

73 ves provided information on insecticide use, demographics, and reproductive history at enrollment in

74 etformin effect in men was not influenced by demographic, anthropometric, or metabolic factors; by th

75 Clinical predictors included demographics, anthropometrics, cardiac and blood measure

76 In contrast, the intermediate demographic approach predicted the CHF would become a ca

77 ife-history data combined with a trait-based demographic approach, we examined the relationship betwe

78 We adjusted models for demographics, baseline eGFR, urine albumin-to-creatinine

79 uestionnaire, to collect data on their socio-demographic, behavioral and life style characteristics,

80 After adjustment for demographic, behavioral, and cardiometabolic factors, an

81 Adjustment for demographic, behavioral, and ectopic body fat measures d

82 ry analysis of programmatic data, as well as demographic, behavioural, and clinical data, from the TA

83 t al. and Groenendijk et al. are affected by demographic biases.

84 ion primarily reflected the disproportionate demographic burden of TB among the population of adult m

85 change after patient groups were matched for demographics, but decreased to 4.9% (47% relative decrea

86 ) using a Cox model, adjusting for age, sex, demographics, cardiovascular risk factors, and apolipopr

87 tivariable regression analyses adjusting for demographics, cardiovascular risk factors, and left vent

88 po of dispersal processes and, on the other, demographic change.

89 x change is a pivotal variable in predicting demographic changes and resilience in sex-changing fish,

90 We aimed to determine the impact of demographic changes on the redistricting proposal and ch

91 Demographic characteristics and hospital courses were si

92 Vulnerable socio-demographic characteristics and poorly controlled asthma

93 ogic malignancies) were frequency matched by demographic characteristics and underlying cancer diagno

94 on, distance, and intensity) and participant demographic characteristics in linear mixed models.

95 Variables, including clinical and demographic characteristics of donors and recipients, we

96 Vital information and socio-demographic characteristics were extracted manually from

97 was no relationship between GBS carriage and demographic characteristics, alpha-diversity, or overall

98 eatment exposure, chronic health conditions, demographic characteristics, and health habits.

99 eosinophil concentrations and compared their demographic characteristics, as well as results from que

100 Clinical information-demographic characteristics, cause of disease, liver-rel

101 ng method to select predictor variables from demographic characteristics, clinical variables, comorbi

102 ple behavioral and health features including demographic characteristics, cognitive and physical trai

103 Patient demographic characteristics, disease location, treatment

104 ients completed a questionnaire to determine demographic characteristics, health history, and risk fa

105 Socio-demographic characteristics, medical history and HIV-rel

106 fter adjustment for multiple comparisons and demographic characteristics, we found significant differ

107 es developed on the basis of 15 clinical and demographic characteristics, we generated 1:1 pairs of a

108 in human islets with rs13266634 genotype and demographic characteristics.

109 Demographic, clinical and radiological factors associate

110 ated with schizophrenia and to examine which demographic, clinical, and cognitive characteristics wer

111 ty HealthSystem Consortium database contains demographic, clinical, and cost variables prospectively

112 METHODS AND Demographic, clinical, and echocardiographic data at fir

113 We analyzed demographic, clinical, and laboratory data for newly dia

114 We collected demographic, clinical, and pathology data.

115 annual hospitalization rate and a variety of demographic, clinical, and social factors.

116 Several demographic, clinical, and socioeconomic factors play im

117 for the association between early death and demographic, clinical, and socioeconomic factors.

118 ast Asia and South America; we also explored demographic, clinical, and socioeconomic variables assoc

119 Purpose To determine the demographic, clinical, decision-making, and quality-of-l

120 e defines EoE, a constellation of compatible demographic, clinical, endoscopic, and histologic findin

121 Demographics, clinical characteristics, and sputum cytol

122 x models adjusted for potential confounders (demographics, clinical characteristics, comorbidities, a

123 For this cohort we described demographics, clinical features, and pathogenic variants

124 Demographics, clinical history, presentation, and in-hos

125 f concerns of glaucoma patients and identify demographic/clinical factors affecting the concerns.

126 Here, we show that the demographic collapse induced by cheaters in the populati

127 adjusted for multiple confounders including demographics, comorbidities, and admission characteristi

128 Differences in patient characteristics, demographics, comorbidities, and reason for admission be

129 s were comparable to the PiB- individuals on demographics, comorbidities, cognition, hippocampal volu

130 Patient demographics, comorbidities, presenting symptoms and vis

131 We examined changes in patient demographics, comorbidities, procedure use, and risk-adj

132 y hormone receptor status for each variable (demographics, comorbidity, insurance, tumor characterist

133 r law function of P with scaling exponent X [demographic conflict investment (DCI)].

134 nvironments, whereas more commonly collected demographic covariates were not.

135 Demographic covariates, cardiovascular risk factors, and

136 e for transplant were explained by patients' demographic, cultural, psychosocial, or transplant knowl

137 acid diethylamide (LSD) and magic mushrooms; demographics, current well-being and past-year problemat

138 seedlings represent a key bottleneck in the demographic cycle of trees, efforts to predict the long-

139 A cohort of 760 participants contributed demographic data and up to 4 blood samples each from Oct

140 Combining 15 years of demographic data from field populations across North Ame

141 ugh there have been significant shifts in US demographic data over the past 50 years, research cohort

142 e the reproductive value method and detailed demographic data to estimate Ne /N for a small and appar

143 Demographic data were comprehensively collected and harm

144 Demographic data, laboratory parameters and endoscopic f

145 Demographic data, pathologic characteristics of tumors,

146 NOTES registry-were analyzed with respect to demographic data, procedural data, and short-term outcom

147 eyes, current grading of the fellow eye, and demographic data.

148 disaggregated by age and cause of death with demographic decomposition methods.

149 A case report form was used to collect the demographic details, the clinical history, and the resul

150 Data extracted included patient demographics, diagnoses, length of stay, circumstances,

151 nicity and hospital mortality, adjusting for demographics, diagnosis, pre-extracorporeal life support

152 tive ecological analogs to better understand demographic drivers of invasions.

153 ates using multievent models, (ii) determine demographic drivers of population growth using matrix mo

154 y development, and thus, the potential for a demographic effect is low.

155 on population trajectories than the positive demographic effects of reduced winter snowfall.

156 r genetic estimates of Ne to corroborate the demographic estimate and examine evidence for unobserved

157 tial unobserved immigration which could bias demographic estimates of Ne .

158 ltivariable analysis included adjustment for demographics, ethnicity, cardiovascular risk factors, se

159 problematic since both selection and neutral demographic events can create similar allele frequency d

160 r significant short-duration (1-2 centuries) demographic events known from one documented historical

161 e argue that eustatic changes influenced the demographic expansion but not population structure in AF

162 on, and smoking-and cognition, adjusting for demographic factors and chronic conditions.

163 es in suspected OLM patients and to describe demographic factors and clinical manifestations of serop

164 ys for nine lower-income countries and socio-demographic factors from several on-line databases for 1

165 on, the roles of genetic, environmental, and demographic factors in GA lesion enlargement are discuss

166 udinal asthma control status and other socio-demographic factors influence the changes of health-rela

167 Adjustment for socio-demographic factors made little difference to these asso

168 Demographic factors shown to be important in access to e

169 ngs show the contributions of ecological and demographic factors to the ongoing spread of the yellow

170 bid conditions, mental health disorders, and demographic factors were considered covariates.

171 Associations between patient demographic factors with preferences for provider roles-

172 ed from Cox regression models, adjusting for demographic factors, medication use, and lifestyle and d

173 Assessment of baseline demographic factors, risk factors, and laboratory studie

174 erall, and by age, sex, insurance, and other demographic factors.

175 hms that are primarily based on clinical and demographic factors.

176 ce use, previous adverse birth outcomes, and demographic factors.

177 r other unilinear, developmental theories of demographic/family change, the SDT failed to predict man

178 These demographic fluctuations are often associated with concu

179 iduals aged 45-70 years, who form the target demographic for U.S. birth cohort screening.

180 We investigate the role of demographic, geographical, and environmental variables i

181 Population demographics, geography, and hospital and physician pres

182 The prevalence of HPV among other demographic groups and other anatomic sites of HNSCC is

183 olarization has increased the most among the demographic groups least likely to use the Internet and

184 ased vaccine delivery that targets high-risk demographic groups may improve both vaccine feasibility

185 ong poor Americans and even declined in some demographic groups.

186 Admixture and demographic growth happened recently, suggesting a rapid

187 ging to food production) was associated with demographic growth.

188 Medical records were reviewed for demographics, Hanifin & Rajka (H&R) and United Kingdom W

189 ing process in women living with HIV: 'Socio-demographic, Health status and Pregnancy', 'Religion and

190 eastern U.S. states to address how divergent demographic histories influence geographic patterns of g

191 ns this has for recent claims made about the demographic histories of non-African populations.

192 ctive population sizes reveals two differing demographic histories: 1) the 'local' Finnish mtDNA hapl

193 The interplay between demographic history and selection has shaped diversity a

194 To investigate the demographic history of African-descendant Marron populat

195 the species' distribution with a complicated demographic history, which includes stocking with foreig

196 DNA sequencing (RADseq), in combination with demographic inference methods, are improving our ability

197 Overall, our results reveal that demographic inference using RADseq data can be successfu

198 ry sequencing methods allow for portrayal of demographic inferences and highlight genetic variation i

199 lt covariates using contact network metrics, demographic information and infection status, and used l

200 Data on total resident complement, demographic information, and annual attrition were colle

201 Other measurements included demographic information, pre-extracorporeal membrane oxy

202 Demographics, injury-related scores, prehospital, and re

203 We obtained demographic, insurance, and clinical data from electroni

204 ability to adjust for comorbid conditions or demographics known to impact fibrosis progression in NAF

205 Demographic, laboratory, and comorbidity variables measu

206 ions were used, with adjustment for maternal demographic, lifestyle, and dietary factors.Refined-grai

207 information about spill-related activities, demographics, lifestyle, and health.

208 uninfected adults, even after adjusting for demographics, lifestyle, metabolic factors, and hepatic

209 ransplantation recurrence were compared with demographics, liver function, basic immune markers, trea

210 We found that differences in both demographic makeup (particularly the size and compositio

211 y aims was to characterise variations in the demographics, management, and outcome of patients with A

212 uggest that automated systems for monitoring demographics may effectively complement labor-intensive

213 art transplantation (HT) donor and recipient demographics may influence the incidence of primary graf

214 vel logistic regression model, adjusting for demographics, mechanism, vital signs, and injury severit

215 fferent life-history traits and compensatory demographic mechanisms between the three species are pro

216 Demographic, medical condition, and prescribed medicine

217 Demographic, medical, surgical, and prosthetic informati

218 Patient demographics, medical and medication history, and clinic

219 those without TBI even after adjustment for demographics, medical comorbidities, and active depressi

220 A sophisticated demographic method of estimating Ne /N, which uses Fishe

221 We analyzed demographic, microbiological, and clinical data from 100

222 Using demographic microsimulation and the United States Census

223 alpine species and provide insight into how demographic modeling can be used to assess risk to speci

224 Our novel use of Bayesian demographic modelling shows that native insect herbivore

225 tion cycles, ranging from ecosystem-level to demographic modelling, grounded in observational or expe

226 Demographic models based on recruitment data from the cl

227 ifetime prevalence, patterns, and associated demographics of heroin use and use disorder from 2001-20

228 nd produce rapid unanticipated shifts in the demographics of pest complexes.

229 Demographics of subjects such as age and sex; descriptio

230 f suspected SCFE, especially considering the demographics of the affected population.

231 Amid the changing demographics of the US population and the rising rates o

232 ving an oncology workforce that reflects the demographics of the US population it serves.

233 therapy, prior revascularization, or missing demographic or angiographic data were excluded.

234 restricting the study population by patient demographic or surgeon specialty.

235 were no significant differences in baseline demographics or transplant data among the 4 neutralizing

236 The changing donor demographics, organ utilization, and outcomes associated

237 ndividual stochasticity varies greatly among demographic outcomes.

238 Patient demographics, patient disease, and the ability to access

239 olata) throughout New England driven by poor demographic performance in warmer climates.

240 class model was constructed on the basis of demographics, phenotypes and test results from patients

241 cause of the challenge of defining a general demographic population or environmental profile that is

242 Our results also suggest age as a key demographic predictor for superspreading.

243 n BIA-ALCL, such as pathophysiology, patient demographics, presentation, diagnosis, treatment, and ou

244 ogical differences between these species and demographic processes are dictating the location and ext

245 can act as drivers of genetic structure and demographic processes in riverine population of fishes.

246 Temporal autocorrelation in demographic processes is an important aspect of populati

247 iled data are lacking on dispersal dynamics, demographic processes underpinning population performanc

248 entation of ecosystem ecology and vegetation demographic processes within Earth System Models (ESMs).

249 and is likely the result of multiple complex demographic processes, in addition to hybridization with

250 The respondent profile sheet assessed demographic profile and social media use profile in term

251 Demographic, psychiatric, and biochemical variables at a

252 Clinical-demographic questionnaire, spirometry, skin prick test a

253 We propose that demographic range expansion of a microbial population ca

254 Bureau's recent national projections of core demographic rates by race, we examine two definitions of

255 patterns of variation and interactions among demographic rates contribute to population growth rate (

256 standing how climate warming will affect the demographic rates of different ecotypes is critical to p

257 emporal patterns of land-use change with the demographic rates of mule deer, an iconic species in the

258 fluenced the growth of forest stands and the demographic rates of neighboring trees.

259 racial differences and recent shifts in core demographic rates suggest that white and black older adu

260 h dramatic changes: (i) describe fundamental demographic rates using multievent models, (ii) determin

261 oncentration >1 g/L) and covariates, such as demographics, reported illness, and anthropometric statu

262 variation among species in physiological and demographic responses, by effects of altered biotic inte

263 gical traits underpinning these differential demographic responses.

264 of women enrolled in a cohort study compares demographics, risk behaviour, and sexually transmitted i

265 noted significant geographical variations in demographics, risk factors for ARDS, and comorbid diseas

266 (1990-1992) through 2013 with adjustment for demographics, risk factors, a latent variable for glycem

267 Bayesian computation to test five different demographic scenarios explaining the formation of the mo

268 e volume-outcome relationship, adjusting for demographic (sex, age, race, ethnicity), socioeconomic (

269 self-collected cervicovaginal specimens and demographic, sexual behavior, and self-reported vaccinat

270 These demographic shifts have profoundly altered the coevolved

271 Advances in technology, demographic shifts, market changes, and patient demand f

272 Information abstracted included demographics, signs and symptoms, laboratory results, an

273 country-specific annual disease incidence to demographic, socio-economic and environmental factors.

274 After adjustment for demographic, socioeconomic, lifestyle factors, and urina

275 performed at 3 institutions, without further demographic stratification.

276 1959-1993) with large changes in biomass and demographic structure of spawners.

277 o contact data are available, accounting for demographic structure, household structure where known,

278 idual differences should be accounted for in demographic studies of wild populations.

279 s used to compare rates of NCD occurrence by demographic subgroup.

280 e in TFA concentrations, differences between demographic subgroups were comparable in the 2 surveys.T

281 1 villages of the Agincourt Health and socio-Demographic Surveillance System (HDSS).

282 n and comorbidities in the Kilifi Health and Demographic Surveillance System (KHDSS, a database forme

283 (1:1) 142 villages of the Matlab Health and Demographic Surveillance System to include two doses of

284 reas donors to living kidney donors (1:3) by demographic traits and year of donation.

285 ation viability analysis to explore possible demographic trajectories and the relative importance of

286 Industrialization and demographic transition generate nonstationary dynamics i

287 a wider context our results support a major demographic transition in West Asia due to the Islamic c

288 riate linear mixed models including baseline demographic, treatment, and ocular characteristics on CP

289 Understanding demographic trends and patterns of gene flow in an endan

290 Modern societal social-demographic trends reduce predictability and increase co

291 Data were collected on patient demographics, tumor features, and specific diagnoses to

292 abstracted and categorized study population demographics, type of intervention, and primary and seco

293 egression was performed to model independent demographic variables against mortality.

294 The relationship between demographic variables and SI values was assessed.

295 o the freshest RBC units after adjusting for demographic variables, diagnosis category, and blood pro

296 ue, palpation force, examination time, and 6 demographic variables, revealed that search technique in

297 gression controlling for injury severity and demographic variables, the difference in LOS for Medicai

298 1), independent of more than 40 clinical and demographic variables.

299 Baseline demographics were well balanced among the cohorts.

300 ve approaches, with the potential to measure demographics with fine spatial resolution, in close to r