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1 hites, but was not associated with any other socioeconomic factor.
2 n early death and demographic, clinical, and socioeconomic factors.
3 c regression models adjusted for demographic-socioeconomic factors.
4 d by differences in medical, immunologic and socioeconomic factors.
5 d open and utilization remains influenced by socioeconomic factors.
6 ntial confounding by family income and other socioeconomic factors.
7 observational studies have not accounted for socioeconomic factors.
8 ignificantly attenuated after adjustment for socioeconomic factors.
9 e patients and male patients on county-level socioeconomic factors.
10 ty, geography of residence, and county-level socioeconomic factors.
11 l climatic changes with one or more relevant socioeconomic factors.
12 been difficult to isolate from other adverse socioeconomic factors.
13 bidity, and demographic, anthropometric, and socioeconomic factors.
14 atures, extent and quality of treatment, and socioeconomic factors.
15 avioral, endocrine, metabolic, cultural, and socioeconomic factors.
16 ong Hispanic patients, likely due in part to socioeconomic factors.
17 are significantly influenced by cultural and socioeconomic factors.
18 the prevalence of coexisting conditions, and socioeconomic factors.
19 isolating ethnicity from financial and other socioeconomic factors.
20 cause of confounding comorbid conditions and socioeconomic factors.
21 e dependence (p < 0.001) after adjusting for socioeconomic factors.
22 e proportion of racial disparity mediated by socioeconomic factors.
23 sociated MRSA rates was largely explained by socioeconomic factors.
24 he capacity of malaria diagnosis and diverse socioeconomic factors.
25 tions between trends in vaccine coverage and socioeconomic factors.
26 disturbance history, recovery pathways, and socioeconomic factors.
27 PZQ or ALB were profiled by household-level socioeconomic factors.
28 ith food security and maternal and household socioeconomic factors.
29 offered took account of disease severity and socioeconomic factors.
30 ression and stroke differs by demographic or socioeconomic factors.
31 en made to identify specific immunologic and socioeconomic factors.
32 ed by both classical prognostic features and socioeconomic factors.
33 d ongoing bias in referral patterns based on socioeconomic factors.
34 evels, controlling for other nutritional and socioeconomic factors.
35 ter adjusting for demographic, clinical, and socioeconomic factors.
36 0.62 [95% CI, 0.43-0.89]) when adjusted for socioeconomic factors.
37 t major causes of vision loss, regardless of socioeconomic factors.
38 patient age, gender, and racial, ethnic, and socioeconomic factors.
39 ationship that persists after adjustment for socioeconomic factors.
40 d CT findings and demographic, clinical, and socioeconomic factors.
41 d it better in the context of race, sex, and socioeconomic factors.
42 icity profiles, and complex psychosocial and socioeconomic factors.
43 etic ancestries, candidate risk alleles, and socioeconomic factors.
44 access, particularly with regard to race and socioeconomic factors.
45 .00), followed by activities (2.20/5.00) and socioeconomic factors (2.13/5.00), and then ocular sympt
47 whether and to what extent individual-level socioeconomic factors account for the relation between n
51 of decentralized sharing ecosystems and the socioeconomic factors affecting them, and may have impli
55 quid chromatography-tandem mass spectrometry.Socioeconomic factors and biomarker concentrations were
59 er adjustment for demographic, clinical, and socioeconomic factors and do-not-resuscitate status.
62 stment for demographic, anthropomorphic, and socioeconomic factors and spirometer/technician effects.
63 at disparities persist after controlling for socioeconomic factors and that the effect on healthcare
64 as to determine the relationship of race and socioeconomic factors and the method used for appendecto
65 ations were present even after adjusting for socioeconomic factors and the presence of obstructive sl
68 uite of anthropogenic environmental changes, socioeconomic factors, and changes in demography that ov
71 lling for year, demographics, comorbidities, socioeconomic factors, and Organ Procurement Organizatio
72 ized urologist density, county demographics, socioeconomic factors, and preexisting health care infra
75 95% CI: 0.08, 0.17), adjusted for age, sex, socioeconomic factors, anthropometric measurements, and
79 ed States, differences in disease burden and socioeconomic factors are important variables affecting
81 fied the role of clinical, radiographic, and socioeconomic factors associated with self-reported heal
82 after adjustment for multiple lifestyle and socioeconomic factors at different life stages: if paren
83 ns focusing on the medical, demographic, and socioeconomic factors at the level of individuals with r
87 in 35 countries with information on health, socioeconomic factors, climate, and watershed condition.
93 er controlling for age, sex, race/ethnicity, socioeconomic factors, diet, smoking, physical activity,
94 access to care, cancer screening, and other socioeconomic factors, disparities remain after adjustme
96 investigate the association of cataract with socioeconomic factors (education and income) and genetic
97 ltivariable adjustment for disease severity, socioeconomic factors, education, social support, litera
98 l factors in childhood comprised measures of socioeconomic factors, emotional factors, parental healt
99 e of psychosocial factors in youth comprised socioeconomic factors, emotional factors, parental healt
100 ount of the potential confounding effects of socioeconomic factors, ethnic minority women were less l
102 xplained by a variety of sociobehavioral and socioeconomic factors, even after these exposures are ta
103 etween anti-HEV incidence and demographic or socioeconomic factors for which data were available.
104 ustment for individual-level demographic and socioeconomic factors (for deprivation, odds ratio = 2.4
105 DE serum concentrations were associated with socioeconomic factors; for example, a $20,000 increase i
107 le adjustment for recipient, transplant, and socioeconomic factors (hazard ratio, 1.34; 95% confidenc
108 p of these cases, other determinants such as socioeconomic factors, health insurance, patient prefere
109 % CI 1.20-1.33) after further adjustment for socioeconomic factors, health-related behaviours, depres
113 ze remained significant after adjustment for socioeconomic factors including race and income (RR = 1.
114 c factors (age, race/ethnicity, and sex) and socioeconomic factors (income and education) in the util
115 ovide insight into how clinical, policy, and socioeconomic factors influence new technology diffusion
117 s to be multifactorial and may include race, socioeconomic factors, insurance status, access, and hea
118 quality of years lived during follow-up, but socioeconomic factors largely accounted for these associ
119 diverse range of ecological, biological, and socioeconomic factors likely to enhance or reduce zoonot
121 care availability, patient preferences, and socioeconomic factors may account for unexplained variat
123 The present study aimed to determine whether socioeconomic factors may be involved in both etiology a
124 umoniae and also provided more evidence that socioeconomic factors may influence the development of d
125 topography, host and parasite genetics, and socioeconomic factors--may influence malaria prevalence.
128 Better QOL was independently associated with socioeconomic factors, not factors related to general he
129 nd care processes in addition to patient and socioeconomic factors (odds ratio, 1.17; 95% confidence
130 ors, urban/rural residence, and county-level socioeconomic factors on accrual of Maryland patients wi
133 nstrate the complex interplay of genetic and socioeconomic factors on quantitative phenotypes related
135 investigated the influence of nutrition and socioeconomic factors on the prognosis of children with
137 ty limitations and functioning difficulties, socioeconomic factors, perceived availability of health
139 n education and perception and the role that socioeconomic factors play in mortality from prostate ca
140 structions, although there were periods when socioeconomic factors played an equally important role.
141 ment therapy is affected by a combination of socioeconomic factors, pre-existing medical disorders, r
143 ving donor transplantation are likely due to socioeconomic factors rather than cultural differences i
144 ere were similarities in the demographic and socioeconomic factors related to CMD and substance use a
145 fective in conserving reef resources and the socioeconomic factors responsible for effective conserva
147 usted odds ratio]), adjusting for sex, race, socioeconomic factors, smoking, chronic medical conditio
148 in hypothesised explanatory factors such as socioeconomic factors, substance use, depression, and se
149 or more, as has been observed regarding some socioeconomic factors, such as education and ethnicity.
152 e investigate user activity patterns and the socioeconomic factors that could explain the behavior.
153 s, with the aim of exploring the genetic and socioeconomic factors that might explain this effect.
154 ent decision-making process and identify key socioeconomic factors that result in barriers to care.
155 ion, but this is usually attributed to broad socioeconomic factors; the contributions of physical and
156 is was performed while controlling for known socioeconomic factors to explore the relationship betwee
159 ited States, and estimated associations with socioeconomic factors using Cox's proportional hazards r
161 tic information and records of lifestyle and socioeconomic factors, we explored causes of regional va
162 gnancy, breastfeeding, parental divorce, and socioeconomic factors were all significantly associated
164 fter mutual adjustment, six psychosocial and socioeconomic factors were associated with increased ris
165 on allergic symptoms and on demographic and socioeconomic factors were collected by questionnaire.
169 In multiple linear regression analysis, socioeconomic factors were significant predictors of cor
170 cial database provided a control group whose socioeconomic factors were similar to those of cases at
171 eness of nonsurgical interventions varies by socioeconomic factors; when and how to transition from n
172 flects a complex interrelation of health and socioeconomic factors, which could partially explain the
173 e we aimed to investigate the association of socioeconomic factors with antiretroviral therapy (ART)
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