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1 date predictors for work disability included sociodemographic (3 items), health status and lifestyle
2 ), which was accounted for by differences in sociodemographics, acculturation, and clinical character
3                                              Sociodemographic (age, sex, and socioeconomic position)
4 -smokers by use of mixed models adjusted for sociodemographic and anthropometric factors.
5                         After adjustment for sociodemographic and behavioral factors, women aged 50-6
6 experience after controlling for several key sociodemographic and behavioral factors.
7 e assessed in regression models adjusted for sociodemographic and cardiovascular risk factors.
8  risk factors, care environment, and women's sociodemographic and child-related characteristics) were
9                         Data on individuals' sociodemographic and clinical characteristics at entry a
10                      This study examined the sociodemographic and clinical characteristics of patient
11 te race, after adjustment for differences in sociodemographic and clinical characteristics on admissi
12 s, providing multivariate analyses combining sociodemographic and clinical characteristics with more
13   Multivariable logistic regression examined sociodemographic and clinical characteristics, 6MP dose
14    There were significant differences in the sociodemographic and clinical characteristics, and distr
15 herapy); we assessed HPV vaccine initiation, sociodemographic and clinical characteristics, and vacci
16 gression models were adjusted for individual sociodemographic and clinical characteristics, error adj
17         In multivariable models adjusted for sociodemographic and clinical characteristics, we analyz
18 tory of suicide attempt, and a wide range of sociodemographic and clinical characteristics.
19 cation(s) taken at each visit, adjusting for sociodemographic and clinical characteristics.
20 cation(s) taken at each visit, adjusting for sociodemographic and clinical characteristics.
21 m-effects pooled proportion and (2) relevant sociodemographic and clinical correlates, using random-e
22                             We then compared sociodemographic and clinical factors across identified
23 riod and used logistic regression to examine sociodemographic and clinical factors associated with ps
24 testing rates and assessed associations with sociodemographic and clinical factors using log-linear r
25 ey, funded by Aimmune Therapeutics, included sociodemographic and clinical questions, the EQ-5D-Y, Ho
26 fluence of prespecified criminal history and sociodemographic and clinical risk factors, which are mo
27                    Other covariates, such as sociodemographic and clinical variables and HCFs' charac
28 d ratios and odds ratios with adjustment for sociodemographic and clinical variables.
29 overall QoL and LS (in separate models), and sociodemographic and clinical variables.
30                         After adjustment for sociodemographic and comorbid conditions, rural residenc
31 ete-case and imputed datasets to investigate sociodemographic and CSE factors associated with adverse
32 by which several aspects of participation by sociodemographic and cultural variables among its member
33            They are accounted for neither by sociodemographic and employment characteristics nor by p
34 tify how human movement patterns vary across sociodemographic and environmental contexts and present
35  behavioral inhibition at age 2 years beyond sociodemographic and familial factors.
36              We assessed annual trends among sociodemographic and geographic subgroups using joinpoin
37                 By controlling for important sociodemographic and health confounders, such as alcohol
38                                              Sociodemographic and health data were collected using an
39 Further studies are needed to understand the sociodemographic and health-systems barriers surrounding
40 model, controlling for baseline outcomes and sociodemographic and HIV-related covariates, and adjuste
41 d HFpEF and to assess if this risk varies by sociodemographic and HIV-specific factors.
42  pooling strategy based on identification of sociodemographic and laboratory factors associated with
43                               Conditional on sociodemographic and lifestyle behaviour four latent cla
44 acking, and risk of EDs, taking into account sociodemographic and lifestyle factors.
45 on models adjusted for maternal and paternal sociodemographic and lifestyle-related characteristics.
46 ercept at cohort level adjusted for maternal sociodemographic and lifestyle-related characteristics.
47                                              Sociodemographic and medical risk factors contributed to
48          Correlations between EPDS score and sociodemographic and mental health variables were analys
49                                  We assessed sociodemographic and metabolic risk factors at baseline
50 te that the host microbiome is determined by sociodemographic and migration-related variables.
51                          After adjusting for sociodemographic and other factors, black and Hispanic c
52 aches, is required to address the prevailing sociodemographic and other risk factors for reducing sui
53 nd 95% confidence intervals (CIs) to examine sociodemographic and past 12-month injection behaviors a
54 eviously diagnosed, and after adjustment for sociodemographic and perinatal adversities and IQ, psych
55 valence of suicide attempts across levels of sociodemographic and psychiatric disorder groups.
56 2012-2013 surveys in suicide attempts across sociodemographic and psychiatric disorder strata.
57 rom two community clinics from 2012 to 2015; sociodemographic and psychosocial data were collected an
58       Surgical complications alongside other sociodemographic and psychosocial factors contribute to
59 sers were similar to nonregular users across sociodemographic and psychosocial factors, with modestly
60 eristics of PWID, including gender, age, and sociodemographic and risk characteristics, and the preva
61   The aim of this study was to determine the sociodemographic and risk factors for keratoconus (KC) p
62                                              Sociodemographic and smoking characteristics were assess
63 e by US adults and to characterize trends by sociodemographic and smoking status among young adults (
64 andom intercepts and slopes and adjusted for sociodemographic and smoking-related factors.
65                     In analysis adjusted for sociodemographics and BV, enrichment of vaginal Gardnere
66  styles are associated with British people's sociodemographics and political party identification, wh
67 ipants with complete phenotypic (medical and sociodemographic) and genetic data.
68  linked across registers for cause of death, sociodemographic, and dog ownership data.
69  contribution of tumor, treatment, hospital, sociodemographic, and neighborhood factors to racial/eth
70 rment and oral health outcomes by age group, sociodemographics, and other explanatory variables.
71                    Detailed and standardized sociodemographic, anthropometric, and clinical measureme
72 compared VDD and LVD prevalence by levels of sociodemographic, anthropometric, and geographic factors
73 zard models adjusted for known risk factors (sociodemographic, anthropometric, lifestyle, medical his
74 tial determinants of GMV from the categories sociodemographics, anthropometric measurements, cardio-m
75                   We also identified several sociodemographic aspects of vaccine propensity.
76 s on the prevalence, and any associations of sociodemographic, behavioral and medical risk factors wi
77 nic disease and death, and were adjusted for sociodemographic, behavioral, and clinical confounders,
78 ognitive performance, adjusting for relevant sociodemographic, behavioral, and clinical factors.
79                 From Cox models adjusted for sociodemographic, behavioral, and CVD risk factors, high
80 old air pollution and RTL, adjusting for key sociodemographic, behavioral, and environmental covariat
81 ear regression to estimate associations with sociodemographic, behavioral, and health-related factors
82                                              Sociodemographic, behavioural, and cardiometabolic risk
83 openia and sarcopenic obesity prevalence and sociodemographic, bio-clinical and lifestyle factors in
84                     Models were adjusted for sociodemographics, cardiovascular disease risk factors,
85 slightly but significantly when adjusted for sociodemographic characteristics (adjusted risk differen
86 total of 2,727 HDV cases were matched 1:1 by sociodemographic characteristics and comorbidities to ch
87                                          The sociodemographic characteristics and comorbidities were
88       Adjusting for individual-level data on sociodemographic characteristics and emigration country
89       Adolescents were assessed for baseline sociodemographic characteristics and gender expression,
90 hildhood AD by race/ethnicity accounting for sociodemographic characteristics and perinatal vitamin D
91 sing Poisson regressions while adjusting for sociodemographic characteristics and the presence of men
92  effect across all disorders, independent of sociodemographic characteristics and the presence of the
93 ble regression models were used to determine sociodemographic characteristics associated with PNVI.
94 balance in measured maternal obstetrical and sociodemographic characteristics between reported cannab
95                                Adjusting for sociodemographic characteristics did not attenuate the a
96 rtussis incidence relative to PT data and if sociodemographic characteristics explain some variation
97   The total mean scores for cross-classified sociodemographic characteristics generally followed the
98 ed measures of the risk of lead exposure and sociodemographic characteristics in 9,712 9- and 10-year
99 style behaviors, baseline weight status, and sociodemographic characteristics in US emerging adults.D
100                                              Sociodemographic characteristics of women giving birth t
101 with Black or Latino race/ethnicity or other sociodemographic characteristics was not detected.
102                                Self-reported sociodemographic characteristics were ascertained at bas
103                                              Sociodemographic characteristics were compared between p
104 g, multiple birth, birth order, and parental sociodemographic characteristics).
105 cord blood reference, sample plate, maternal sociodemographic characteristics, cholesterol, infant se
106 :1) using propensity scores, controlling for sociodemographic characteristics, comorbidities, previou
107 018; n = 49,045), we assessed differences in sociodemographic characteristics, health conditions, beh
108 AP recipients, and to examine differences in sociodemographic characteristics, health, nutritional st
109 AM intervention and included questions about sociodemographic characteristics, health-care service us
110 ons between frailty and treatment exposures, sociodemographic characteristics, lifestyle factors, and
111 partially but not completely attenuated when sociodemographic characteristics, lifestyle factors, and
112 females completed baseline questionnaires on sociodemographic characteristics, lifestyle, medication
113 stries provided information on perinatal and sociodemographic characteristics, on psychiatric disorde
114                    All models controlled for sociodemographic characteristics, religious service atte
115                         After accounting for sociodemographic characteristics, the odds of HIV were 2
116 lth system characteristics; and individuals' sociodemographic characteristics.
117 age-adjusted trends of HAV susceptibility by sociodemographic characteristics.
118 ng multiple regression models, adjusting for sociodemographic characteristics.
119 P status and purchases while controlling for sociodemographic characteristics.
120  may be in part attributed to differences in sociodemographic characteristics.
121 MR status does not vary substantially across sociodemographic characteristics.
122                 Calendar year and population sociodemographic characteristics.
123  wide range of individual patient health and sociodemographic characteristics.
124 line cluster-level score of the outcome, and sociodemographic characteristics.
125 eighted to the US population distribution of sociodemographic characteristics.
126 ross India among states and districts and by sociodemographic characteristics; and whether the geogra
127 astic-Net regression was used to build Base (sociodemographic), Clinical, and Combined (Base plus Cli
128                                 We collected sociodemographic, clinical and laboratory parameters, me
129                AIMS OF THE STUDY: To compare sociodemographic, clinical and psychosocial characterist
130 tivariable linear regressions, adjusting for sociodemographic, clinical, and nutritional factors.
131 nd each outcome adjusting for differences in sociodemographic, clinical, and presentation features, a
132          Logistic regressions controlled for sociodemographic, clinical, and treatment characteristic
133                        We collected detailed sociodemographic, clinical, and treatment data.
134 n model that included relevant patient-level sociodemographic, clinical, and vaccine-related variable
135                                              Sociodemographic, clinical, and virologic variables were
136                                     Baseline sociodemographic, clinical, and virological characterist
137     Predictors of syphilis were sought among sociodemographics, clinical information, and self-report
138 ronic health records provided information on sociodemographic, comorbidity, tumor, clinical, and trea
139 ated using Poisson regressions, adjusted for sociodemographics, comorbidity, psychiatric diagnoses, a
140  function of individual demographic factors, sociodemographic conditions, and biobehavioral factors (
141                         After adjustment for sociodemographic confounders, compared with women in the
142               After controlling for baseline sociodemographic confounders, we observed positive assoc
143 I, 0.95-1.54) in Cox regression adjusted for sociodemographic covariates, health behaviors, and chron
144 varying treatment, adjusted for clinical and sociodemographic covariates.
145 s were robust after controlling for multiple sociodemographic covariates.
146                 All models were adjusted for sociodemographic, criminographic, and treatment-related
147                                              Sociodemographic data and comorbidities were assessed by
148 uals included in the study were reviewed for sociodemographic data and comorbidities.
149 ented to the New Orleans STD clinic provided sociodemographic data and sexual behavior; STI, obstetri
150                                              Sociodemographic data were collected from patients or th
151                                              Sociodemographic data were obtained by survey self-repor
152             These results identify pervasive sociodemographic differences in immune-cell gene regulat
153 rug use-according to CHC after adjusting for sociodemographic differences.
154   We aimed to investigate the prevalence and sociodemographic differentials of suicidality using data
155 resenting any suicidality), and examined for sociodemographic differentials using normalised sampling
156                         There are meaningful sociodemographic disparities in access and outcomes for
157                                              Sociodemographic disparities of visual health existed.
158         Testing coverage remains limited and sociodemographic disparities were observed in both popul
159               After adjustment for recipient sociodemographics, donor, and transplant characteristics
160 he aim of this study was to characterize the sociodemographic drivers of plant-based protein diet con
161                                              Sociodemographic, dual Medicare/Medicaid coverage, comor
162 ation between a broad set of US county-level sociodemographic, economic, and health-status-related ch
163 ilevel mixed-effects regression adjusted for sociodemographic, environmental, individual, and mental
164 ity, which was significantly associated with sociodemographic factors (older age, white ethnicity, be
165 t of caregivers and noncaregivers matched on sociodemographic factors 1-2 years later.
166 gression analyses adjusting for age, all the sociodemographic factors above, medical comorbidities, a
167 xamine associations with disease-related and sociodemographic factors among those with breast cancer.
168 sk factors among patient groups adjusted for sociodemographic factors and age-adjusted temporal trend
169                          After adjusting for sociodemographic factors and depression, the most (top q
170 aste patterns of young children are maternal sociodemographic factors and feeding practices.This tria
171 ep feeding practices at 1 y, controlling for sociodemographic factors and free sugars intake.
172 ivariable logistic regression, adjusting for sociodemographic factors and maternal plasma vitamin D,
173  analysis to examine the association between sociodemographic factors and overall suicidality and sev
174 ator for COVID-19 mortality based on various sociodemographic factors and pre-existing conditions for
175 ese findings reveal associations between the sociodemographic factors and the presentation and outcom
176 tic prescriptions seems to be driven more by sociodemographic factors and type of provider diagnosing
177 le logistic regression was used to determine sociodemographic factors associated with medication rece
178                                          The sociodemographic factors associated with plant-protein c
179 al readmission in the first year of life and sociodemographic factors at birth.
180          Work characteristics, lifestyle and sociodemographic factors have been associated with the r
181                                              Sociodemographic factors including age, gender, race, an
182 anding how vaccine propensity is affected by sociodemographic factors is invaluable for predicting wh
183                                The impact of sociodemographic factors on the presentation and outcome
184 middle-income countries in south Asia, where sociodemographic factors play a crucial role for suicide
185 as used to evaluate the relationship between sociodemographic factors to fovea-on or off presentation
186                             Year and various sociodemographic factors were controlled for.
187                                 Clinical and sociodemographic factors were not associated with MOUD r
188  explore associations of disease-related and sociodemographic factors with future sickness absence an
189  could be predicted with common clinical and sociodemographic factors with good discrimination (C sta
190  models, adjusted for maternal lifestyle and sociodemographic factors, a higher E-DII score, indicati
191 phy, sexual orientation and gender identity, sociodemographic factors, and others.
192 ange of relevant covariates were considered (sociodemographic factors, depressive symptoms, and healt
193 s associated with numerous physiological and sociodemographic factors, including evidence of gastroin
194 ox proportional hazards models, adjusted for sociodemographic factors, lung function, and survey cycl
195                          After adjusting for sociodemographic factors, patients who died from alcohol
196  with low acculturation after adjustment for sociodemographic factors, practice effects, and survey l
197 ed multivariable Cox regression adjusted for sociodemographic factors, tumor characteristics, comorbi
198 hina, which may be related to alterations in sociodemographic factors, vascular risk factors and life
199                     In analyses adjusted for sociodemographic factors, we used multistate models to e
200  more strongly associated with lifestyle and sociodemographic factors.
201 le controlling for clinical, biological, and sociodemographic factors.
202 , while also frequently differing by patient sociodemographic factors.
203 men were clustered geographically and by key sociodemographic factors.
204 8 [0.16-0.59] per 1 SD) after adjustment for sociodemographic factors.
205 number of seizures, acute kidney injury) and sociodemographic factors.
206 (CI) 1.23-3.36]) in an analysis adjusted for sociodemographic factors; the excess risk was unchanged
207 ng diagnostic and procedure codes as well as sociodemographic features were used to predict this outc
208  subsequent suicide attempt, controlling for sociodemographic features, service-related characteristi
209                                      Data on sociodemographics, feeding, and illness were collected a
210      Factors related to discordance included sociodemographics, gonadotoxic treatments, fertility con
211   Non-treatment was associated with specific sociodemographic groups and characteristics and did not
212  a de-adoption of PAC use overall and across sociodemographic groups but heterogeneity in patterns of
213  decreasing, but disparities between various sociodemographic groups may be increasing, despite inter
214 es conditional on receiving an LVAD, for the sociodemographic groups of interest.
215 entify disparities in the performance across sociodemographic groups, and identify opportunities to f
216 eceiving defect-free care overall and across sociodemographic groups, nearly 1 in 4 patients in 2017
217 on of these care indicators among states and sociodemographic groups.
218 ncidence rates did not rise uniformly across sociodemographic groups.
219 y variations were identified across multiple sociodemographic groups.
220                                Adjusting for sociodemographic, health behavior, and clinical characte
221 red questionnaire was used to obtain data on sociodemographic, health status, and lifestyle habits.
222 ns with measures of adiposity, adjusting for sociodemographic, health, and dietary variables [i.e., e
223                               Maternal diet, sociodemographic, health, and environmental factors were
224 acids and the contributing dietary, genetic, sociodemographic, health, and environmental factors.
225 e among opioid-naive patients, adjusting for sociodemographic, health, and procedure-related characte
226 easures and weight outcomes, controlling for sociodemographics, health status and eating behaviors.
227                                              Sociodemographic, history and examination, laboratory, a
228                      We theorize cross-level sociodemographic homogeneity between individuals and com
229 dence and mortality indicate that with rapid sociodemographic improvements, the case fatality of inju
230 ity across the broader population, there are sociodemographic inequities in stroke risk.
231 ater-based epidemiology can be used to study sociodemographic influences and disparities in chemical
232 ipants also answered short questionnaires on sociodemographic information (sex, age, education, ethni
233                   Participants self-reported sociodemographic information pertaining to relevant conf
234                                              Sociodemographic information was collected with a standa
235 reased by combining periodontal information, sociodemographic information, and general health history
236 ed questionnaire that collected clinical and sociodemographic information.
237                          Third, we collected sociodemographic information.
238                                              Sociodemographic, injury mortality, and morbidity inform
239 , quality of life), trait (personality), and sociodemographic levels.
240 CI, 1.28 to 2.38) remained significant after sociodemographic, lifestyle, and chronic conditions were
241     In fully adjusted models controlling for sociodemographic, lifestyle, and health characteristics,
242 and relations of individual metabolites with sociodemographic, lifestyle, and occupational factors.
243 maternal and perinatal outcomes adjusted for sociodemographic, maternal medical, and obstetric-relate
244         Outcomes were adjusted for potential sociodemographic, maternity, and comorbidity confounders
245    Multivariate logistic regression assessed sociodemographic, medical, and other factors associated
246  design was used to test the contribution of sociodemographic, medical, psychological/health belief,
247                          After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] =
248                                              Sociodemographic, mental/physical health, smoking and tr
249 ial channels that are not shown by any other sociodemographic or behavioral indicators.
250                                 However, the sociodemographic or socioeconomic correlates of chemical
251 ts naive to DAA treatment, without clinical, sociodemographic, or insurance restrictions, were used t
252 the relationships between catchment specific sociodemographic parameters and biomarkers in wastewater
253 regression models for race/ethnicity, family sociodemographics, parental and birth anthropometrics, b
254 hold scale, our analysis reveals spatial and sociodemographic patterns of racialized, class-based, an
255 ed associations between biomarker levels and sociodemographic, physical, dietary, and behavioral cova
256 race/ethnic groups (p < 0.05), regardless of sociodemographic, physical, dietary, behavioral, or geog
257 rall, with continued disparities across some sociodemographic populations, notably age and race or et
258 American children overall and within various sociodemographic populations.
259 ess triclosan reproducibility and identified sociodemographic predictors of triclosan.
260 ordered breathing and outcomes, adjusted for sociodemographics, prestroke function and cognition, hea
261    Predictors of surgery type after NAC were sociodemographic rather than clinical, raising concern f
262 ipant and housing characteristics, including sociodemographic, regional, and climatic factors, associ
263 en of childbearing age and associations with sociodemographic, reproductive, smoking, and housing cha
264 ine PFAS levels in the placenta and identify sociodemographic risk factors in a high-risk pregnancy c
265 anatomy, as opposed to genetic variation and sociodemographic risk, may be more directly linked to st
266                             On adjusting for sociodemographic (sex, age, ethnicity, deprivation) and
267 ors of food sovereignty and 28 indicators of sociodemographics, social being, and environmental susta
268 d sex were tested, and models controlled for sociodemographic, socioeconomic, and work-related charac
269           The management of eczema varies by sociodemographic status in England, with lower rates of
270 , we found an emergence of a contribution of sociodemographic status to the cohort effect that may be
271 age, time period (before or after 2010), and sociodemographic status-compared to that of HIV-positive
272 s with high CVH, event rates were low across sociodemographic subgroups (e.g., CVD rates per 1,000 pe
273 ents in performance were observed across all sociodemographic subgroups, with the greatest absolute i
274        Similar associations were seen in all sociodemographic subgroups.
275 s were statistically significant across most sociodemographic subgroups.
276  room for improvement in diet quality in all sociodemographic subgroups.
277 3 were also statistically significant across sociodemographic subgroups.
278 llance within schools, cities, counties, and sociodemographic subgroups.
279 etween both 3-y periods for U.S. regions and sociodemographic subgroups.
280 in CWS arsenic exposure over time and across sociodemographic subgroups.
281 06-2.59], respectively) after adjustment for sociodemographics, substance use, and human immunodefici
282 pression Scale, EQ-5D visual analogue scale, sociodemographics, suicidal ideation, and stress (negati
283 g optimism, anxiety, personality traits, and sociodemographics using valid and reliable scales.
284  estimate odds ratios for the association of sociodemographic variables and exposure level with Ebola
285 The best logistic regression models combined sociodemographic variables and risk-factors with the sel
286 d supervised learning to investigate whether sociodemographic variables could predict cluster members
287                                              Sociodemographic variables explained approximately 30% o
288 this study is there are insufficient data on sociodemographic variables of the populations and possib
289  that both exposure to early-life stress and sociodemographic variables predicted these factors.
290 cal complications and surgical coverage with sociodemographic variables was assessed by multiple logi
291                                              Sociodemographic variables were predictive for both of t
292 s ratio 1.29, 95% CI 1.26-1.32, adjusted for sociodemographic variables).
293   Multivariable survival models adjusted for sociodemographic variables, Charlson comorbidity index,
294                                              Sociodemographic variables, dietary diversity, micronutr
295                     We included controls for sociodemographic variables, herpes simplex virus type-2
296 to participate in an online survey assessing sociodemographic variables, the child's medical characte
297 cteristics; and whether the geographical and sociodemographic variation in the prevalence of anaemia
298 larities in the patterns of geographical and sociodemographic variation of anaemia between men and wo
299                  This study examined whether sociodemographic variations in the immune and inflammato
300  n = 109), personality, psychopathology, and sociodemographics were self-reported using questionnaire

 
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