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  1. 31881
    “…Previous research on burnout and satisfaction has focused on factors like work hours, gender, race, specialty, and work setting. We seek to contribute to the literature by examining these associations while controlling for demographic, family, and work-related characteristics. …”
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  2. 31882
    “…METHODS: We conducted a cross-sectional study (n = 702) using Prolific.co (representative of the U.S. population by age, gender, and race). Primary outcomes were the believability of six statements about overdose/naloxone on a seven-point Likert-type scale. …”
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  3. 31883
    “…Majority of respondents were female (70.5%), 20–29 years old (37.9%), of African race (81.1%), nurses (39.4%), and practicing medicine for 0–4 years (37.9%). …”
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  4. 31884
  5. 31885
    “…We further seek to explore whether this subset of research is race/ethnicity conscious (does the research consider members of underrepresented groups beyond their inclusion as study participants in the introduction, methods, results, or discussion). …”
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  6. 31886
    “…Acceleration of the vaccination process may be the key element in winning the race against this virus. We examine factors associated with personal considerations of and accessibility to the corona virus disease 2019 (COVID-19) vaccination in metropolises of China. …”
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  7. 31887
    “…METHODS: We used data from survey years 2013 to 2018 of the National Health Interview Survey to investigate nSC and SPD among Asian, Non-Hispanic (NH)-Black, Hispanic/Latinx, and NH-White men as well as women in the United States (N = 168,573) and to determine modification by race/ethnicity, sex/gender, self-rated health status, age, and annual household income. nSC was measured by asking participants four questions related to the trustworthiness and dependability of their neighbors. nSC scores were trichotomized into low (< 12), medium (12–14), and high (15–16). …”
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  8. 31888
  9. 31889
    “…Median app use was 28 (IQR 7-75) days over 6 months. Younger age, White race, higher educational level, higher income, having no children younger than 18 years, and having used 1 to 5 health apps significantly predicted app use (vs nonuse) in adjusted models. …”
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  10. 31890
  11. 31891
    “…Following a 3-week delay, the 3 radiologists independently repeated measurements on a randomly selected 40 subjects. Ratios, age, gender, race, body mass index, insulin usage and hemoglobin A(1c) were analyzed. …”
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  12. 31892
    “…The discrepancy between these findings and the positive findings of the pivotal studies may be attributable to the symptom severity of the bipolar patients recruited, a high dropout rate, and the comparatively short duration of the RD phase rather than race/ethnicity differences. Clinical trial registration ClinicalTrial.gov Identifier NCT01602510; 21st May 2012; https://clinicaltrials.gov/ct2/show/NCT01602510. …”
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  13. 31893
  14. 31894
    “…LIMITATIONS: Single health care organization and limited race/ethnicity representation. CONCLUSIONS: Compared to ABPM, mean BP was significantly lower for clinic, significantly higher for kiosk, and without significant differences for home. …”
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  15. 31895
    “…Factors associated with greater odds of discharge to institutional settings were older age, female sex, non-Hispanic White race and ethnicity, dual enrollment, longer hospital stay, more comorbidities, intensive care use, surgery, and primary diagnoses including opioid or other drug overdoses, fractures, and septicemia. …”
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  16. 31896
    “…Cox regression was used to calculate adjusted hazard ratios (aHRs), accounting for age, sex, race, education, neighborhood deprivation, assessment center, household size, and income. …”
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  17. 31897
    “…Of these, 56.5% were 40 years or younger, 78.5% were female, 45.4% were White race and 44.5% were practicing in a community pharmacy setting. …”
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  18. 31898
    “…These results were consistent across age, race/ethnicity, and gender. CONCLUSIONS: Participants’ high adherence to the recommended testing schedule, significant reliability between participants and study staff’s test interpretation, and the acceptability of the smartphone app and self-test indicate that self-tests for SARS-CoV-2 with a smartphone app for assistance and reporting is a highly feasible testing modality among a diverse population of adults in the United States.…”
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  19. 31899
    “…Age-standardized prevalence of prediabetes and diabetes were compared by race/ethnicity within healthy weight, overweight, and obesity categories, using standard BMI thresholds for White adults (18.5 to < 25, 25 to < 30, ≥ 30 kg/m(2)) and lower BMI thresholds for Asian adults (18.5 to < 23, 23 to < 27.5, ≥ 27.5 kg/m(2)). …”
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  20. 31900
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