ライフサイエンスコーパス: sociodemographic

1 Probabilities of periodontitis by: 1) sociodemographics, 2) behavioral factors, and 3) comorbi

2 date predictors for work disability included sociodemographic (3 items), health status and lifestyle

3 Sociodemographic and Army experience predictors were gen

4 Adjusting for sociodemographic and behavioral characteristics, black i

5 igarette smoking, accounting for established sociodemographic and behavioral risk factors.

6 We performed rapid HIV testing and assessed sociodemographic and behavioural characteristics with us

7 is common in the United States and varies by sociodemographic and biological characteristics, includi

8 after adjustments for cognitive function and sociodemographic and cardiovascular factors.

9 We extracted data on sociodemographic and clinical characteristics and abuse

10 We aimed to investigate the sociodemographic and clinical characteristics of traffic

11 instrument included 4 questionnaires: (1) a sociodemographic and clinical characteristics questionna

12 Multivariable logistic regression examined sociodemographic and clinical characteristics, 6MP dose

13 herapy); we assessed HPV vaccine initiation, sociodemographic and clinical characteristics, and vacci

14 In multivariable models adjusted for sociodemographic and clinical characteristics, we analyz

15 f oncology services, controlling for patient sociodemographic and clinical characteristics.

16 tment for geographic area and beneficiaries' sociodemographic and clinical characteristics.

17 5% CI, 0.89 to 1.19) after adjusting for all sociodemographic and clinical characteristics.

18 nd to test associations of PES symptoms with sociodemographic and clinical characteristics; (2) exami

19 Sociodemographic and clinical chart data were abstracted

20 After adjustment for sociodemographic and clinical confounders, ADHD medicati

21 Sociodemographic and clinical correlates of surveillance

22 m-effects pooled proportion and (2) relevant sociodemographic and clinical correlates, using random-e

23 Sociodemographic and clinical data collection, microbiol

24 Sociodemographic and clinical data were also collected.

25 more complex models incorporating extensive sociodemographic and clinical data.

26 ustment for service quality and service user sociodemographic and clinical factors, quality of life w

27 isk for suicide in models adjusted for coded sociodemographic and clinical features (hazard ratio, 0.

28 racterizing trends in suicide attempts among sociodemographic and clinical groups.

29 were used to investigate the associations of sociodemographic and clinical parameters with uncorrecte

30 Current information on the prevalence and sociodemographic and clinical profiles of individuals in

31 fluence of prespecified criminal history and sociodemographic and clinical risk factors, which are mo

32 taining statistical significance within most sociodemographic and clinical subgroups, and in 89% (EiC

33 Sociodemographic and clinical variables including the di

34 both inpatient and outpatient registers, and sociodemographic and criminological factors from other p

35 se associations were independent of measured sociodemographic and criminological factors, and, in men

36 of external-cause mortality, in addition to sociodemographic and criminological factors.

37 ete-case and imputed datasets to investigate sociodemographic and CSE factors associated with adverse

38 ccurately classify BPA exposure and consider sociodemographic and environmental factors as possible c

39 ithin-person BPA variability and to identify sociodemographic and environmental predictors.

40 behavioral inhibition at age 2 years beyond sociodemographic and familial factors.

41 alyses were conducted by sequentially adding sociodemographic and financial variables to race.

42 We assessed annual trends among sociodemographic and geographic subgroups using joinpoin

43 accine awareness and initiation adjusted for sociodemographic and health care factors for each sexual

44 Sociodemographic and health data were collected using an

45 Baseline survey questionnaires collected sociodemographic and health information.

46 Further studies are needed to understand the sociodemographic and health-systems barriers surrounding

47 d HFpEF and to assess if this risk varies by sociodemographic and HIV-specific factors.

48 thritis, depression, or anxiety, and several sociodemographic and lifestyle factors (including smokin

49 t age 6 y are to a large extent explained by sociodemographic and lifestyle factors of mother and chi

50 After adjustment for sociodemographic and lifestyle factors, compared with in

51 RC between 2003 and 2010 were interviewed on sociodemographic and lifestyle factors, medication, and

52 ients diagnosed with CRC were interviewed on sociodemographic and lifestyle factors, medication, and

53 ns remained significant after adjustment for sociodemographic and lifestyle factors.

54 In addition to sociodemographic and medical characteristics, concepts m

55 atients underwent visual acuity testing, and sociodemographic and medical data were collected from st

56 dy of Normal Brain Development with complete sociodemographic and neuroimaging data.

57 all facility births in China and to explore sociodemographic and obstetric factors associated with v

58 hose without PTSD, even after adjustment for sociodemographic and other characteristics.

59 adjusting for maternal prepregnancy BMI and sociodemographic and perinatal factors.

60 inear regression to estimate associations of sociodemographic and perinatal predictors, including mea

61 valence of suicide attempts across levels of sociodemographic and psychiatric disorder groups.

62 2012-2013 surveys in suicide attempts across sociodemographic and psychiatric disorder strata.

63 een studied extensively in samples including sociodemographic and regional diversity.

64 eristics of PWID, including gender, age, and sociodemographic and risk characteristics, and the preva

65 In this study, we defined sociodemographic and sleep characteristics associated wi

66 Adding sociodemographic and sleep factors to self-reports incre

67 Sociodemographic and smoking characteristics were assess

68 nts provided information about vital status, sociodemographic and socioeconomic characteristics and h

69 Adjustment for sociodemographic and surgical confounders resulted in a

70 Patient sociodemographics and comorbidities as well as index hos

71 valence of allergic rhinitis and asked about sociodemographics and family history of allergies.

72 Counsellors collected information on sociodemographics and sexual behaviours using questionna

73 ipants with complete phenotypic (medical and sociodemographic) and genetic data.

74 statistical interpolation, smoking, obesity, sociodemographic, and age-specific migration variables.

75 cified, routinely obtained criminal history, sociodemographic, and clinical risk factors using multiv

76 ys in chemotherapy initiation appeared to be sociodemographic, and clinicians should provide timelier

77 sion modeling (adjusting for smoking status, sociodemographic, and dental characteristics).

78 a continent characterized by marked ethnic, sociodemographic, and economic diversity, with profound

79 We sought to assess behavioral, sociodemographic, and genetic factors related to ICS res

80 After adjustment for anthropometric, sociodemographic, and lifestyle factors, a higher z scor

81 95% CIs) adjusted for dietary, reproductive, sociodemographic, and lifestyle factors.

82 lerance test and provided detailed clinical, sociodemographic, and lifestyle information.

83 ich include health care, prescription drugs, sociodemographic, and mortality information.

84 contribution of tumor, treatment, hospital, sociodemographic, and neighborhood factors to racial/eth

85 Clinical, sociodemographic, and outcome data were collected from t

86 sleep duration, history of allergic disease, sociodemographics, and body mass index.

87 ses were adjusted for maternal and childhood sociodemographic- and lifestyle-related characteristics.

88 5% CI, 1.21-2.33), in models controlling for sociodemographics, asthma, hay fever, food allergies, an

89 ear regression to estimate associations with sociodemographic, behavioral, and health-related factors

90 Effects of several genetic, sociodemographic, behavioral, and ocular factors on the

91 ls estimated odds ratios (ORs) adjusting for sociodemographic, behavioral, and reproductive character

92 Sociodemographic, behavioural, and cardiometabolic risk

93 nts are HIV tested and interviewed to obtain sociodemographic, behavioural, and health information.

94 ews and oral examinations to collect data on sociodemographic characteristics (age, sex, income); use

95 to assess associations between neighborhood sociodemographic characteristics and food store distribu

96 e linear regression models were adjusted for sociodemographic characteristics and further adjusted fo

97 Sociodemographic characteristics and in-ICU opioid admin

98 Covariates included sociodemographic characteristics and relevant health beh

99 Periodontal status mediated associations of sociodemographic characteristics and smoking with OHRQoL

100 sing Poisson regressions while adjusting for sociodemographic characteristics and the presence of men

101 diet quality with baseline weight status and sociodemographic characteristics and time-varying lifest

102 servational studies with emphasis on sex and sociodemographic characteristics are needed.

103 ble regression models were used to determine sociodemographic characteristics associated with PNVI.

104 style behaviors, baseline weight status, and sociodemographic characteristics in US emerging adults.D

105 alence of IDU among people aged 15-64 years; sociodemographic characteristics of and risk factors for

106 Sociodemographic characteristics of women giving birth t

107 ere used to examine differences in patients' sociodemographic characteristics over time.

108 Self-reported sociodemographic characteristics were ascertained at bas

109 Several patient and sociodemographic characteristics were associated with re

110 ustment for mutation risk, clinical factors, sociodemographic characteristics, and attitudes about te

111 , after adjustment for sex, age, birth year, sociodemographic characteristics, and height.

112 luding BCG vaccination status, perinatal and sociodemographic characteristics, and use of health serv

113 D was examined using Cox models adjusted for sociodemographic characteristics, baseline eGFR, comorbi

114 0.04); otherwise, completion did not vary by sociodemographic characteristics, body mass index, educa

115 nsidering the role of potential confounding (sociodemographic characteristics, depression) and interm

116 et of wave 1 confounders was used, including sociodemographic characteristics, family history of subs

117 examined the strength of association between sociodemographic characteristics, gestational age, and o

118 AM intervention and included questions about sociodemographic characteristics, health-care service us

119 Information was obtained on sociodemographic characteristics, ocular history, and su

120 mic location and stage of the tumor, patient sociodemographic characteristics, prior melanoma, Elixha

121 female theater veterans after adjustment for sociodemographic characteristics, PTSD, and physical com

122 to assess the relationship between ACOS and sociodemographic characteristics, risk factors (smoking,

123 icipants were interviewed to collect data on sociodemographic characteristics, risk factors for chole

124 persons at increased risk for STIs based on sociodemographic characteristics, risky sexual behavior,

125 his study is to identify relationships among sociodemographic characteristics, smoking, tooth loss, d

126 After accounting for sociodemographic characteristics, the odds of HIV were 2

127 ed States (US) and examine associations with sociodemographic characteristics.

128 conflict in separate models, controlling for sociodemographic characteristics.

129 in preferences among parents with different sociodemographic characteristics.

130 mo, and 1219 participants aged 12-23.9 mo by sociodemographic characteristics.

131 P status and purchases while controlling for sociodemographic characteristics.

132 MR status does not vary substantially across sociodemographic characteristics.

133 sical inactivity, baseline weight status, or sociodemographic characteristics.Diet quality of emergin

134 1.04-9.12), less discussion about patients' sociodemographic circumstances (living situation, relati

135 ct of having less discussion about patients' sociodemographic circumstances on medication adherence w

136 nt centeredness and do not address patients' sociodemographic circumstances or their medication regim

137 We collected sociodemographic, clinical and laboratory parameters, me

138 AIMS OF THE STUDY: To compare sociodemographic, clinical and psychosocial characterist

139 ariable, regression models that adjusted for sociodemographic, clinical and treatment factors, never

140 The contribution of sociodemographic, clinical risk factor, and population d

141 incidence and mortality are associated with sociodemographic, clinical, and behavioral factors.

142 Subgroups were based on sociodemographic, clinical, and center-level factors, as

143 After adjustment for sociodemographic, clinical, and organizational factors,

144 Logistic regressions controlled for sociodemographic, clinical, and treatment characteristic

145 ttreatment days 8-210), after adjustment for sociodemographic, clinical, and treatment characteristic

146 During treatment, after adjustment for sociodemographic, clinical, and treatment factors, patie

147 Baseline sociodemographic, clinical, and virological characterist

148 Information collected included basic sociodemographics, cognitive status, urinary incontinenc

149 s became nonsignificant after adjustment for sociodemographics, comorbidities, and treatment factors.

150 ronic health records provided information on sociodemographic, comorbidity, tumor, clinical, and trea

151 w walkable urban form varies by neighborhood sociodemographic composition, region, and urbanicity acr

152 ble design differs according to neighborhood sociodemographic composition.

153 After adjustment for sociodemographic confounders and parental psychosocial c

154 r the availability of low-As wells and other sociodemographic confounders, children receiving the int

155 After adjustment for sociodemographic confounders, compared with women in the

156 All analyses were controlled for sociodemographic confounders, intelligence quotient (IQ)

157 After controlling for baseline sociodemographic confounders, we observed positive assoc

158 I, 0.95-1.54) in Cox regression adjusted for sociodemographic covariates, health behaviors, and chron

159 in the next year after adjustment for other sociodemographic covariates.

160 varying treatment, adjusted for clinical and sociodemographic covariates.

161 s were robust after controlling for multiple sociodemographic covariates.

162 .83), and the association was independent of sociodemographic, criminological, and familial factors.

163 uals included in the study were reviewed for sociodemographic data and comorbidities.

164 06-2012) and census tract-based neighborhood sociodemographic data from the American Community Survey

165 Sociodemographic data were collected by self-report.

166 Assessments included laboratory tests, sociodemographic data, personal and treatment history, a

167 dings and simulations, improvised music, and sociodemographic data.

168 Data were collected on clients' OHL, sociodemographics, dental utilization, self-efficacy, an

169 Sociodemographic descriptors including age, sex, and cou

170 interval, 0.71-0.89), after controlling for sociodemographics, diabetes severity, other diabetes med

171 Sociodemographic, dietary, and lifestyle data came from

172 rug use-according to CHC after adjusting for sociodemographic differences.

173 x proportional hazards model controlling for sociodemographic, disease, and treatment characteristics

174 Data for sociodemographics, disease characteristics, and mortalit

175 ed with normal-weight patients, adjusted for sociodemographics, disease severity, treatment, and pred

176 Geographic and sociodemographic disparities in referral for surgery may

177 The results showed sociodemographic disparities regarding periodontitis and

178 After adjustment for recipient sociodemographics, donor, and transplant characteristics

179 Sociodemographic, dual Medicare/Medicaid coverage, comor

180 3.19-5.71]) and in the analyses adjusted for sociodemographic, environmental, and intrapersonal risk

181 ilevel mixed-effects regression adjusted for sociodemographic, environmental, individual, and mental

182 um Codes), self-reported race/ethnicity, and sociodemographic factors (age, education, household inco

183 d higher mortality rate after adjustment for sociodemographic factors (MRR, 2.36; 95% CI, 1.60-3.49).

184 xamine associations with disease-related and sociodemographic factors among those with breast cancer.

185 s to examine associations between individual sociodemographic factors and a binary outcome indicating

186 ariable logistic regression assessed whether sociodemographic factors and certain systemic diseases a

187 69; 95% CI, 0.03-1.34) after controlling for sociodemographic factors and clinical characteristics, i

188 itional status with individual and household sociodemographic factors and food security.

189 ivity on mortality and CVD were adjusted for sociodemographic factors and other risk factors taking i

190 tic prescriptions seems to be driven more by sociodemographic factors and type of provider diagnosing

191 le logistic regression was used to determine sociodemographic factors associated with medication rece

192 to identify symptoms and other clinical and sociodemographic factors associated with pancreatic canc

193 ression and other psychiatric disorders, and sociodemographic factors from population-based registers

194 sychiatric disorders, and criminological and sociodemographic factors from population-based registers

195 Work characteristics, lifestyle and sociodemographic factors have been associated with the r

196 external defibrillator use, and county-level sociodemographic factors in survival variation across co

197 The general external domain includes sociodemographic factors such as educational level and f

198 explore associations of disease-related and sociodemographic factors with future sickness absence an

199 the associations of dietary, lifestyle, and sociodemographic factors with iron status in Chinese adu

200 e of BMI lower than 16, its association with sociodemographic factors, and change in prevalence.

201 /or bleomycin dose, time since chemotherapy, sociodemographic factors, and health behaviors.

202 ion exists between common systemic diseases, sociodemographic factors, and keratoconus (KCN) among a

203 isk, after adjustment for race/ethnicity and sociodemographic factors, behaviors, and traditional CVD

204 After controlling for sociodemographic factors, each 1-SD increase in purpose

205 cinations, remaining so after adjustment for sociodemographic factors, IQ, other traumas, and childho

206 prenatal organochlorine or metal exposures, sociodemographic factors, or other factors explained spa

207 After adjusting for sociodemographic factors, RB survivors did not have sign

208 with newly diagnosed GD, with adjustment for sociodemographic factors, systemic medical conditions, t

209 ed multivariable Cox regression adjusted for sociodemographic factors, tumor characteristics, comorbi

210 ounders included age, CRP, and lifestyle and sociodemographic factors.

211 ign and we further adjusted for time-varying sociodemographic factors.

212 ed to 50.4% after adjustment of county-level sociodemographic factors.

213 hen fully adjusted for various perinatal and sociodemographic factors.

214 , while also frequently differing by patient sociodemographic factors.

215 no longer significant after controlling for sociodemographic factors.

216 ciated with malnutrition after adjusting for sociodemographic factors.

217 (CI) 1.23-3.36]) in an analysis adjusted for sociodemographic factors; the excess risk was unchanged

218 In models adjusted for sociodemographic features, antidepressant exposure prior

219 subsequent suicide attempt, controlling for sociodemographic features, service-related characteristi

220 Data on sociodemographics, feeding, and illness were collected a

221 After adjusting for maternal sociodemographics, gestational weight gain, maternal and

222 trends in PAC use overall as well as across sociodemographic groups and key clinical conditions, inc

223 trials, DAs were efficacious across diverse sociodemographic groups as measured by knowledge transfe

224 a de-adoption of PAC use overall and across sociodemographic groups but heterogeneity in patterns of

225 itization, particularly in certain high-risk sociodemographic groups.

226 In models that adjusted for sociodemographic, health behavior, and dietary factors,

227 ations in 3,864 persons after adjustment for sociodemographic, health, and lifestyle characteristics.

228 lf-completed a confidential questionnaire on sociodemographic, health, and lifestyle issues.

229 nsin adults aged 21-74 years, reported their sociodemographic, health, and psychological characterist

230 Descriptive summaries and associations among sociodemographic, HIV disease, and treatment characteris

231 Maternal sociodemographic, HIV-related, and delivery (mother and

232 Using a 1-stage approach, sociodemographic (ie, age, sex, education, and relations

233 t disease, and cancer mortality, whereas the sociodemographic index had the largest association with

234 Participants self-reported sociodemographic information pertaining to relevant conf

235 onatal data were collected at discharge, and sociodemographic information was collected via maternal

236 General health history and sociodemographic information were collected throughout t

237 reased by combining periodontal information, sociodemographic information, and general health history

238 We also asked for sociodemographic information.

239 ed questionnaire that collected clinical and sociodemographic information.

240 Sociodemographic, injury mortality, and morbidity inform

241 Neighborhood environment and sociodemographic instruments were used to characterize p

242 ritin concentrations varied across different sociodemographic, lifestyle, and dietary factors in this

243 from medical records, whereas information on sociodemographic, lifestyle, and health characteristics

244 associations exist between HDL-C levels and sociodemographic, lifestyle, comorbidity factors, and mo

245 ermine the prevalence of falls by gender and sociodemographic, lifestyle/behavioral, and medical fact

246 After adjustment for sociodemographics, lifestyle factors, and energy intake,

247 The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% C

248 After adjustment for family-based sociodemographic, maternal lifestyle, and childhood fact

249 Outcomes were adjusted for potential sociodemographic, maternity, and comorbidity confounders

250 hborhood walkability) and various area-level sociodemographic measures.

251 .024), controlling for baseline activity and sociodemographic, medical, and negative psychological co

252 Multivariate logistic regression assessed sociodemographic, medical, and other factors associated

253 design was used to test the contribution of sociodemographic, medical, psychological/health belief,

254 Sociodemographic, mental/physical health, smoking and tr

255 Prevalence, type of maternal infection, sociodemographic, obstetrical, and serological data were

256 uenced by altered mother-child interactions, sociodemographic or environmental influences, and social

257 ts naive to DAA treatment, without clinical, sociodemographic, or insurance restrictions, were used t

258 or older with diabetes and valid ocular and sociodemographic outcomes in the National Health and Nut

259 Data on clinical and sociodemographic parameters, CD4+/CD8+ T-cell counts, an

260 dom effects model, we examined the impact of sociodemographic patient characteristics (age, sex, educ

261 he extent to which they do so across diverse sociodemographic patient groups is unknown.

262 ed associations between biomarker levels and sociodemographic, physical, dietary, and behavioral cova

263 race/ethnic groups (p < 0.05), regardless of sociodemographic, physical, dietary, behavioral, or geog

264 Sociodemographic, physical, lifestyle, and health-relate

265 ess triclosan reproducibility and identified sociodemographic predictors of triclosan.

266 Both groups self-reported sociodemographic, psychosocial, and caregiving character

267 Predictors of surgery type after NAC were sociodemographic rather than clinical, raising concern f

268 ipant and housing characteristics, including sociodemographic, regional, and climatic factors, associ

269 sed LTBI status, and determined clinical and sociodemographic risk factors for LTBI.

270 At follow-up, accounting for behavioral and sociodemographic risk factors, baseline water pipe tobac

271 erson-month records to examine risk factors (sociodemographic, service related, and mental health), m

272 fense administrative data systems to examine sociodemographic, service-related, and mental health pre

273 rdized estimates of suicide attempt risk for sociodemographic, service-related, and mental health pre

274 ities, community-level ART and MMC coverage, sociodemographics, sexual behaviors, and HIV prevalence

275 Data on sociodemographic, social, and physical conditions; schoo

276 d sex were tested, and models controlled for sociodemographic, socioeconomic, and work-related charac

277 All findings were robust when including sociodemographic, socioeconomic, and working characteris

278 2010 score in subgroups that were defined by sociodemographic status and participation in nutrition a

279 , we found an emergence of a contribution of sociodemographic status to the cohort effect that may be

280 Data on sociodemographics, stroke-related factors, prestroke hea

281 were also seen for the total sample and most sociodemographic subgroups for the prevalences of 12-mon

282 adults without diabetes, overall and across sociodemographic subgroups.

283 Calendar year and population sociodemographic subgroups.

284 3 were also statistically significant across sociodemographic subgroups.

285 room for improvement in diet quality in all sociodemographic subgroups.

286 06-2.59], respectively) after adjustment for sociodemographics, substance use, and human immunodefici

287 domain indices (air, water, land, built, and sociodemographic) to represent environmental exposure.

288 variable analyses were performed to identify sociodemographic, treatment, and tumor characteristics p

289 bstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and

290 Several sociodemographic variables (older age, male sex, African

291 s of stay, and mortality after adjusting for sociodemographic variables and comorbidity.

292 n >/=95% of follow-up visits were matched by sociodemographic variables to 516 HIV-uninfected (HIV(-)

293 ce systems by incorporating a wider range of sociodemographic variables using an iterative proportion

294 adding covariates (usual source of care and sociodemographic variables) to determine whether they fu

295 ression models adjusted for baseline Hb A1c, sociodemographic variables, diabetes-related variables,

296 We included controls for sociodemographic variables, herpes simplex virus type-2

297 maltreatment, after adjusting for a range of sociodemographic variables.

298 s and preferences than other personality and sociodemographic variables.

299 incidence of PBC did not rise over time, but sociodemographic variations suggest that certain aspects

300 regression to adjust for pre-ACA trends and sociodemographics, we examined changes in outcomes for t