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1 hites, but was not associated with any other socioeconomic factor.
2 scores were inferior to those from parental socioeconomic factors.
3 offered took account of disease severity and socioeconomic factors.
4 ression and stroke differs by demographic or socioeconomic factors.
5 en made to identify specific immunologic and socioeconomic factors.
6 ed by both classical prognostic features and socioeconomic factors.
7 d ongoing bias in referral patterns based on socioeconomic factors.
8 ter adjusting for demographic, clinical, and socioeconomic factors.
9 0.62 [95% CI, 0.43-0.89]) when adjusted for socioeconomic factors.
10 t major causes of vision loss, regardless of socioeconomic factors.
11 patient age, gender, and racial, ethnic, and socioeconomic factors.
12 ationship that persists after adjustment for socioeconomic factors.
13 d CT findings and demographic, clinical, and socioeconomic factors.
14 tion, diet diversity, food environments, and socioeconomic factors.
15 d it better in the context of race, sex, and socioeconomic factors.
16 icity profiles, and complex psychosocial and socioeconomic factors.
17 etic ancestries, candidate risk alleles, and socioeconomic factors.
18 access, particularly with regard to race and socioeconomic factors.
19 c regression models adjusted for demographic-socioeconomic factors.
20 d by differences in medical, immunologic and socioeconomic factors.
21 asingly recognized, but without attention to socioeconomic factors.
22 d open and utilization remains influenced by socioeconomic factors.
23 ntial confounding by family income and other socioeconomic factors.
24 observational studies have not accounted for socioeconomic factors.
25 ignificantly attenuated after adjustment for socioeconomic factors.
26 e patients and male patients on county-level socioeconomic factors.
27 raphic, lifestyle, and (individual and area) socioeconomic factors.
28 ty, geography of residence, and county-level socioeconomic factors.
29 l climatic changes with one or more relevant socioeconomic factors.
30 been difficult to isolate from other adverse socioeconomic factors.
31 bidity, and demographic, anthropometric, and socioeconomic factors.
32 atures, extent and quality of treatment, and socioeconomic factors.
33 avioral, endocrine, metabolic, cultural, and socioeconomic factors.
34 ong Hispanic patients, likely due in part to socioeconomic factors.
35 are significantly influenced by cultural and socioeconomic factors.
36 the prevalence of coexisting conditions, and socioeconomic factors.
37 isolating ethnicity from financial and other socioeconomic factors.
38 cause of confounding comorbid conditions and socioeconomic factors.
39 ife (HRQoL) and is influenced by unfavorable socioeconomic factors.
40 ing bias and attrition and were adjusted for socioeconomic factors.
41 ent outcomes vary according to race, sex and socioeconomic factors.
42 ICI in the US, with use varying by patients' socioeconomic factors.
43 ing for political as well as demographic and socioeconomic factors.
44 on were mostly related to health systems and socioeconomic factors.
45 severity of household FI, independent of key socioeconomic factors.
46 lastoma after adjusting for individual-level socioeconomic factors.
47 equence of a complex interplay of social and socioeconomic factors.
48 demographics, lifestyle, cardiovascular, and socioeconomic factors.
49 hat attempt to mitigate contributing adverse socioeconomic factors.
50 tween, EEA countries and are associated with socioeconomic factors.
51 variates, including maternal, pregnancy, and socioeconomic factors.
52 e types, and individual- and community-level socioeconomic factors.
53 that remain after adjustment for family and socioeconomic factors.
54 ion, in relationship with general health and socioeconomic factors.
55 ities in SMD are attributable to genetic and socioeconomic factors.
56 is the primary migration driver, surpassing socioeconomic factors.
57 colistin use at the farm level, and relevant socioeconomic factors.
58 ial health disparities are driven largely by socioeconomic factors.
59 pment, accounting for contextual effects and socioeconomic factors.
60 ay be partly associated with educational and socioeconomic factors.
61 ed immunotherapy, even after controlling for socioeconomic factors.
62 ness within the organ transplant system, and socioeconomic factors.
63 utilized with significant disparities across socioeconomic factors.
64 h weight, maternal anaemia in pregnancy, and socioeconomic factors.
65 tage over whites widened after adjusting for socioeconomic factors.
66 al violence), accounting for demographic and socioeconomic factors.
67 ntrolling for geographical, demographic, and socioeconomic factors.
68 m despite controlling for other clinical and socioeconomic factors.
69 ce in gardens, highlighting the influence of socioeconomic factors.
70 n explained with a variety of individual and socioeconomic factors.
71 n early death and demographic, clinical, and socioeconomic factors.
72 e dependence (p < 0.001) after adjusting for socioeconomic factors.
73 sociated MRSA rates was largely explained by socioeconomic factors.
74 evels, controlling for other nutritional and socioeconomic factors.
75 e proportion of racial disparity mediated by socioeconomic factors.
76 he capacity of malaria diagnosis and diverse socioeconomic factors.
77 tions between trends in vaccine coverage and socioeconomic factors.
78 disturbance history, recovery pathways, and socioeconomic factors.
79 PZQ or ALB were profiled by household-level socioeconomic factors.
80 ith food security and maternal and household socioeconomic factors.
81 .00), followed by activities (2.20/5.00) and socioeconomic factors (2.13/5.00), and then ocular sympt
83 whether and to what extent individual-level socioeconomic factors account for the relation between n
87 of decentralized sharing ecosystems and the socioeconomic factors affecting them, and may have impli
92 quid chromatography-tandem mass spectrometry.Socioeconomic factors and biomarker concentrations were
95 er, this deficit was largely associated with socioeconomic factors and comorbidities, especially towa
100 er adjustment for demographic, clinical, and socioeconomic factors and do-not-resuscitate status.
101 rational patterns are likely to be driven by socioeconomic factors and drug availability, the underst
105 ersisted even after controlling for multiple socioeconomic factors and household food insecurity.
106 ies for cancer treatment has been limited by socioeconomic factors and inadequate research to support
109 explain variability in associations between socioeconomic factors and SA or CT in children and adole
110 stment for demographic, anthropomorphic, and socioeconomic factors and spirometer/technician effects.
111 l, the relationship between individual-level socioeconomic factors and survival after out-of-hospital
112 xiety and depression, but the association of socioeconomic factors and temporality has yet to be full
113 at disparities persist after controlling for socioeconomic factors and that the effect on healthcare
114 as to determine the relationship of race and socioeconomic factors and the method used for appendecto
115 ations were present even after adjusting for socioeconomic factors and the presence of obstructive sl
119 uite of anthropogenic environmental changes, socioeconomic factors, and changes in demography that ov
122 lling for year, demographics, comorbidities, socioeconomic factors, and Organ Procurement Organizatio
123 ized urologist density, county demographics, socioeconomic factors, and preexisting health care infra
125 e direct causal effect of behavioral traits, socioeconomic factors, and substance use disorders on SA
127 and whether associations differ according to socioeconomic factors, and we estimate the proportion of
128 95% CI: 0.08, 0.17), adjusted for age, sex, socioeconomic factors, anthropometric measurements, and
130 The extent to which sociodemographic and socioeconomic factors are associated with engagement in
135 ed States, differences in disease burden and socioeconomic factors are important variables affecting
138 , our phenome-wide association analysis with socioeconomic factors, as well as common and rare geneti
139 regression model to investigate clinical and socioeconomic factors associated with ARNI prescription
140 ty, there is little evidence on the specific socioeconomic factors associated with disease risk.
142 fied the role of clinical, radiographic, and socioeconomic factors associated with self-reported heal
143 g attention to the settings, activities, and socioeconomic factors associated with the highest risks
144 after adjustment for multiple lifestyle and socioeconomic factors at different life stages: if paren
145 ns focusing on the medical, demographic, and socioeconomic factors at the level of individuals with r
150 dogs, underscoring the powerful impact that socioeconomic factors can have on pet health and longevi
152 es, such as disability, gender identity, and socioeconomic factors, can confound and jointly impact r
153 rs in the model adjusted for demographic and socioeconomic factors, cardiovascular risk factors, and
154 Potential mediators included demographic and socioeconomic factors, cardiovascular risk factors, pres
155 in 35 countries with information on health, socioeconomic factors, climate, and watershed condition.
156 persisted after adjustment for demographics, socioeconomic factors, clinical characteristics, patient
158 ured characteristics (covering demographics, socioeconomic factors, comorbidities, medications, proxi
164 , their efficiency was highly constrained by socioeconomic factors determining their feasibility and
166 er controlling for age, sex, race/ethnicity, socioeconomic factors, diet, smoking, physical activity,
167 lack of provider knowledge and availability, socioeconomic factors, discrimination, ongoing anti-LGBT
168 access to care, cancer screening, and other socioeconomic factors, disparities remain after adjustme
170 ires identification of the environmental and socioeconomic factors driving the persistence of sclerac
171 not be explained by other psychological and socioeconomic factors (e.g., moods, personality, educati
172 nalyses adjusted for cardiovascular risk and socioeconomic factors, economic food insecurity was asso
173 investigate the association of cataract with socioeconomic factors (education and income) and genetic
174 ltivariable adjustment for disease severity, socioeconomic factors, education, social support, litera
175 sease specific factors, insurance access and socioeconomic factors emerged as potential targets for i
176 e of psychosocial factors in youth comprised socioeconomic factors, emotional factors, parental healt
177 l factors in childhood comprised measures of socioeconomic factors, emotional factors, parental healt
178 account individual differences in lifestyle, socioeconomic factors, environment, and biologic charact
180 ount of the potential confounding effects of socioeconomic factors, ethnic minority women were less l
182 xplained by a variety of sociobehavioral and socioeconomic factors, even after these exposures are ta
183 etween anti-HEV incidence and demographic or socioeconomic factors for which data were available.
184 ustment for individual-level demographic and socioeconomic factors (for deprivation, odds ratio = 2.4
185 DE serum concentrations were associated with socioeconomic factors; for example, a $20,000 increase i
189 ough relationships between malaria risks and socioeconomic factors have been widely demonstrated, the
190 le adjustment for recipient, transplant, and socioeconomic factors (hazard ratio, 1.34; 95% confidenc
191 blood urea nitrogen, serum creatinine), and socioeconomic factors (health insurance, median househol
192 p of these cases, other determinants such as socioeconomic factors, health insurance, patient prefere
193 % CI 1.20-1.33) after further adjustment for socioeconomic factors, health-related behaviours, depres
194 ions are robust to adjustment for family and socioeconomic factors (home ownership, mother and partne
195 uded demographics and medical comorbidities, socioeconomic factors, hospital characteristics, and sur
199 support, individual differences, and broader socioeconomic factors in shaping health outcomes, most n
200 ence points toward an overwhelming impact of socioeconomic factors in the case of coronavirus disease
203 which is sensitive to future developments of socioeconomic factors including population, income, and
204 ze remained significant after adjustment for socioeconomic factors including race and income (RR = 1.
205 c factors (age, race/ethnicity, and sex) and socioeconomic factors (income and education) in the util
207 The groups had comparable distributions of socioeconomic factors, infant formula feeding, and SSB c
210 ovide insight into how clinical, policy, and socioeconomic factors influence new technology diffusion
211 trated that environmental, host genetic, and socioeconomic factors influence the breast cancer preval
213 s to be multifactorial and may include race, socioeconomic factors, insurance status, access, and hea
214 quality of years lived during follow-up, but socioeconomic factors largely accounted for these associ
215 diverse range of ecological, biological, and socioeconomic factors likely to enhance or reduce zoonot
218 care availability, patient preferences, and socioeconomic factors may account for unexplained variat
220 The present study aimed to determine whether socioeconomic factors may be involved in both etiology a
222 umoniae and also provided more evidence that socioeconomic factors may influence the development of d
223 topography, host and parasite genetics, and socioeconomic factors--may influence malaria prevalence.
225 0.9-2.2, p = 0.13) We found no evidence that socioeconomic factors modified the associations of ACEs
227 justment for classic CV risk, lifestyle, and socioeconomic factors, non-Hispanic Black younger adults
228 elderly in the resident population, but not socioeconomic factors, nor livestock farming, was associ
229 Better QOL was independently associated with socioeconomic factors, not factors related to general he
230 nd care processes in addition to patient and socioeconomic factors (odds ratio, 1.17; 95% confidence
231 nths) and stratified data by three different socioeconomic factors of Brazilian municipalities (in 20
232 serve as a starting point for investigating socioeconomic factors of irrigation expansion and may gu
233 have a genetic basis and acknowledging that socioeconomic factors offer incomplete explanations in u
234 ors, urban/rural residence, and county-level socioeconomic factors on accrual of Maryland patients wi
238 nstrate the complex interplay of genetic and socioeconomic factors on quantitative phenotypes related
240 dies have demonstrated effects of racial and socioeconomic factors on survival of adults with cancer.
241 investigated the influence of nutrition and socioeconomic factors on the prognosis of children with
242 borne infections, the role of sanitation and socioeconomic factors on the spatial variation of rotavi
243 with rates of pCR and OS, whether related to socioeconomic factors or biologic variables, or both.
244 re no longer found when adjusting for GA and socioeconomic factors (OR, 1.12; 95% CI, 0.68-1.82, and
247 ained even after adjusting for urbanization, socioeconomic factors, parental history of mental illnes
248 ty limitations and functioning difficulties, socioeconomic factors, perceived availability of health
250 n education and perception and the role that socioeconomic factors play in mortality from prostate ca
251 structions, although there were periods when socioeconomic factors played an equally important role.
252 ment therapy is affected by a combination of socioeconomic factors, pre-existing medical disorders, r
253 lic databases to identify census tract-level socioeconomic factors predictive of driving distance and
255 ving donor transplantation are likely due to socioeconomic factors rather than cultural differences i
257 ere were similarities in the demographic and socioeconomic factors related to CMD and substance use a
258 fective in conserving reef resources and the socioeconomic factors responsible for effective conserva
261 usted odds ratio]), adjusting for sex, race, socioeconomic factors, smoking, chronic medical conditio
262 ivided into four groups: Individual Factors, Socioeconomic Factors, Social Participation, and Health
263 in hypothesised explanatory factors such as socioeconomic factors, substance use, depression, and se
265 ts (for example, for threatened species) and socioeconomic factors such as the capacity to conserve a
267 or more, as has been observed regarding some socioeconomic factors, such as education and ethnicity.
270 outcomes and to characterize the medical and socioeconomic factors that contributed to delayed treatm
271 e investigate user activity patterns and the socioeconomic factors that could explain the behavior.
272 force framework model was used that combined socioeconomic factors that drive economic demand, epidem
274 s, with the aim of exploring the genetic and socioeconomic factors that might explain this effect.
275 ent decision-making process and identify key socioeconomic factors that result in barriers to care.
276 ion, but this is usually attributed to broad socioeconomic factors; the contributions of physical and
277 ditions and after controlling for health and socioeconomic factors, there would be a decrease in the
278 is was performed while controlling for known socioeconomic factors to explore the relationship betwee
279 causal mechanisms and consider cultural and socioeconomic factors to inform more effective mental he
282 ited States, and estimated associations with socioeconomic factors using Cox's proportional hazards r
284 tic information and records of lifestyle and socioeconomic factors, we explored causes of regional va
285 gnancy, breastfeeding, parental divorce, and socioeconomic factors were all significantly associated
287 fter mutual adjustment, six psychosocial and socioeconomic factors were associated with increased ris
288 on allergic symptoms and on demographic and socioeconomic factors were collected by questionnaire.
292 In multiple linear regression analysis, socioeconomic factors were significant predictors of cor
293 cial database provided a control group whose socioeconomic factors were similar to those of cases at
295 eness of nonsurgical interventions varies by socioeconomic factors; when and how to transition from n
296 flects a complex interrelation of health and socioeconomic factors, which could partially explain the
297 e we aimed to investigate the association of socioeconomic factors with antiretroviral therapy (ART)
298 ssessed the association of racial/ethnic and socioeconomic factors with DOAC use among commercially i
300 n regression, we assessed the association of socioeconomic factors with risk of incident leprosy in t