“…OBJECTIVE: To examine the association between race/ethnicity and rejection of COVID-19 vaccine trial participation and vaccine uptake and to investigate whether racial/ethnic group–based medical mistrust is a potential mediator of this association. …”
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“…We used multivariable WQS regression to identify phthalate mixtures that were negatively and positively associated with language score and full-scale IQ, in separate models, adjusted for maternal IQ, race, marital status, smoking, BMI, socioeconomic status (SES), child age, sex, and breastfeeding. …”
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“…Multivariable logistic regression analyses, adjusting for demographic characteristics, indicated that risk factors associated with trauma exposure included non-Hispanic White race/ethnicity (odds ratio [OR], 1.51 [95% CI, 1.14-2.01]; P = .004), more hours worked (OR, 1.01 [95% CI, 1.00-1.03]; P = .03), early family environment (OR, 1.03 [95% CI, 1.01-1.05]; P < .001), and stressful life experiences at baseline (OR, 1.46 [95% CI, 1.06-2.01]; P = .02). …”
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“…Participants were matched between groups on age, sex, and race/ethnicity. The study was conducted from March 2015 to December 2017 at 3 community-based organizations that delivered P2P in California, Florida, and New York. …”
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“…Daily EMA-reported microaggression was associated with depressive symptoms (r=0.66; P=.05), past race-related events (r=0.82; P=.004), and lifetime discrimination (r=0.78; P=.01). …”
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“…There was no difference in age, sex, race, ethnicity, and insurance type in ACT program between those using clozapine and those not on clozapine. …”
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“…Hate speech is topically focused (misogyny, sexism, racism, xenophobia, homophobia, etc.), and each specific manifestation of hate speech targets different vulnerable groups based on characteristics such as gender (misogyny, sexism), ethnicity, race, religion (xenophobia, racism, Islamophobia), sexual orientation (homophobia), and so on. …”
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“…Interactions were assessed by sex and race. RESULTS: A history of NAFLD/NASH was associated with increased odds of admission for COVID-19 (odds ratio [OR], 1.88; 95% confidence interval [CI], 1.57–2.26; P < .001) and mortality (OR, 1.96; 95% CI, 1.45–2.67; P < .001). …”
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“…OBJECTIVE: To measure the association of race, ethnicity, comorbidities, and insurance status with need for hospitalization of symptomatic emergency department patients with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection. …”
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“…There were significant associations between receipt of hormone therapy and: 1) younger age (aOR: 1.33; 95% CI: 1.29-1.36; p<0.0001); 2) Black non-Hispanic patients (aOR: 0.58; 95% CI: 050-0.68; p<0.0001); 3) increasing number of comorbidities (aOR: 0.86; 95% CI: 0.84-0.88; p<0.0001); and 4) increasing number of social stressors (aOR: 0.86; 95% CI: 0.83-0.90; p<0.0001). Conclusions: Age, race/ethnicity, comorbidities, and social stressors among other factors are associated with receipt of hormone therapy among transgender patients in the VHA. …”
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“…Features included in the algorithm were collected prior to prediction time, including weight, height, age, sex, race, insurance status, A1c categories (normal, high, panic high, and missing), creatinine, diet, steroid use in prior 48 hours, admission BG, summary statistics of BG, numerous counts of relevant lab values in quantiles, history of basal insulin use, and counts of major diagnosis code groups. …”
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“…No evidence of recruitment bias according to race/ethnicity was observed. Participation in a clinical trial was not associated with OS in this cohort, likely reflecting the common practice of treating nontrial participants with therapeutic and supportive care regimens used in a previous therapeutic trial.…”
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“…The improved tolerance of lornoxicam due to the relatively shorter elimination half-life in comparison to other members of the oxicams may favor its application in the management of pain and inflammation in race dromedary camels. There are no studies conducted yet on the immunomodulatory or immunotoxilogic effect of lornoxicam in camels. …”
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“…Seven independent predictive factors, namely, race, age at diagnosis, T stage, M stage, LODDS, TD condition, and serum carcinoembryonic antigen level, were included in the nomogram. …”
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“…A total of 455 patients (45.0%) identified as White, 384 patients (37.9%) identified as Black, and 173 patients (17.1%) identified as other races. After controlling for demographic characteristics and clinical features, Black patients had lower odds than White patients of receiving a prescription for opioid medication at ED discharge (odds ratio [OR], 0.42; 95% CI, 0.27-0.65). …”
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“…In multivariable logistic regression analyses, increasing age (adjusted odds ratio [aOR] 1.1, 95% confidence interval [CI] 1.1–1.2, p<0.001), male gender (aOR 1.8, 95% CI 1.2–2.7, p = 0.002), Hispanic ethnicity (aOR 1.9, 95% CI 1.2–3.1, p = 0.01), obesity (3.1, 95% CI 1.9–5.1, p<0.001), asthma history (aOR 2.3, 95% CI 1.3–4.0, p = 0.003), congestive heart failure (aOR 6.0, 95% CI 1.5–25.1, p = 0.01), cerebrovascular disease (aOR 4.9, 95% CI 1.7–14.7, p = 0.004), and diabetes (aOR 3.4, 95% CI 1.9–6.2, p<0.001) were predictive of severe disease diagnoses within 30 days. Non-Hispanic Black race (aOR 1.6, 95% CI 1.0–2.4, p = 0.04), obesity (aOR 1.7, 95% CI 1.0–2.9, p = 0.046), asthma history (aOR 1.7, 95% CI 1.0–2.7, p = 0.03), myocardial infarction history (aOR 6.2, 95% CI 1.7–23.3, p = 0.01), and household exposure (aOR 1.5, 95% CI 1.1–2.2, p = 0.02) were predictive of 30-day readmission. …”
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“…Male gender, African American race, older age, and several pediatric complex chronic condition (PCCC) subcategories were associated with higher clinical severity (p≤0.05). …”
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“…Among these women, 14 749 (55.5%) were aged 25 to 35 years, 25 894 (97.4%) were Black, Hispanic, Native American, Alaskan, Pacific Islander, or Asian women or women with unknown race/ethnicity, and 17 905 (67.3%) lived in areas with urban zip codes. …”
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“…Outcomes were assessed with stringent propensity score matching including age, race, ethnicity, gender, hypertension, diabetes, hyperlipidemia, chronic obstructive pulmonary disease (COPD), obesity, heart disease, and lifestyle habits such as smoking. …”
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“…We defined cohorts of vaccinated and unvaccinated individuals from Minnesota (n = 25,589 each) matched on age, sex, race, history of prior SARS-CoV-2 PCR testing, and date of full vaccination. …”
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