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  1. 31941
  2. 31942
    “…There were significant differences (p<.05) by all criteria of MetS in waist circumference (WC), GAR, DVAI, and PMI, but no differences by any criteria of MetS in the distribution of age, sex, race/ethnicity, or BMI Z-scores. In all regression models, higher both DVAI and PMI were significant predictors for MetS. …”
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  3. 31943
    “…Baseline factors not associated with higher odds of achieving BW reduction ≥20% were age, race, BW, years of education, fasting insulin, and systolic blood pressure. …”
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  4. 31944
    por Vaghasia, Nishit, Yin, Yue, Hasan, Farhad
    Publicado 2023
    “…We collected demographics like age, sex and race. Other variables like admitting and discharging team, length of hospital stay, readmission and mortality rate, referral to specialty (Endocrinology/Rheumatology) on discharge, specialty follow up after discharge, treatment initiation after discharge, preadmission and postadmission DXA scan and polypharmacy (five or more daily prescription medication) were collected. …”
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  5. 31945
    “…In polychotomous logistic regression models adjusting for age, race, and center, women with self-reported PCOS had greater odds of having obesity (OR 1.83, 95% CI 1.22, 2.75) and diabetes (OR 2.37, 95% CI 1.05, 5.33) compared to women without PCOS. …”
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  6. 31946
  7. 31947
  8. 31948
    por Skariah, Annie M, Porter, Tama
    Publicado 2023
    “…But because of globalization; people from all races are seen in every part of the world. It will be beneficial to screen patients for IAS which can decrease cost of work up and treatment, when considering imaging modalities which were included as the part of the work up. …”
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  9. 31949
    “…RESULTS: Among 576 eligible patients, the median age was 62.5 (IQR, 56.3-69.1) years, and 451 patients (78.3%) were men. In terms of race and ethnicity, 6 patients (1.0%) were American Indian or Alaska Native; 2 (0.3%), Asian; 31 (5.4%), Black; 8 (1.4%), Hispanic or Latino; 509 (88.4%), White; and 28 (4.9%), unknown. …”
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  10. 31950
    “…Teenagers endorsing symptoms of depression or anxiety (n=14) were paired with a mentor (n=10) based on preferred characteristics such as gender, race or ethnicity, and lesbian, gay, bisexual, transgender, queer (LGBTQ) status. …”
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  11. 31951
  12. 31952
    “…OBJECTIVE: We sought to examine the amount of travel that patients averted by using telehealth for abortion care, and the role of telehealth in mitigating inequities in abortion access by race or ethnicity, age, pregnancy duration, socioeconomic status, rural residence, and distance to a facility. …”
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  13. 31953
    “…Furthermore, 5 (31%) participants identified as Hispanic, 1 (6%) identified as non-Hispanic Asian, 3 (19%) identified as non-Hispanic Black, 6 (38%) identified as non-Hispanic White, and 1 (6%) identified as other race or ethnicity. Hematologic malignancies or bone marrow failure was the most common diagnosis (8/16, 50%). …”
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  14. 31954
  15. 31955
    “…Participants from Switzerland [0.5 (0.3-1.0)] and Peru [0.08 (0.06-0.1)] had lower likelihood of PrEP initiation compared to the US, while participants from Brazil had higher likelihood [2.6 (2.0-3.3)]. Age, race, gender, and sexual orientation were not associated with PrEP initiation. …”
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  16. 31956
  17. 31957
    “…In covariate-adjusted models (race, BMI, cigarette, alcohol or crack use, menopausal status, socioeconomic status), NACM burden was associated with QoLI (p< 0.0001) but age and HIV did not modify this effect (age*HIV*NACM burden, p=0.83). …”
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  18. 31958
    “…Adjusted models included ≥1 underlying medical condition (yes/no), age in years, census region, biweekly date of hospital admission, and social vulnerability index (SVI) score. Sex and race/ethnicity were tested as confounders in the full model but were dropped for absence of evidence of confounding. …”
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  19. 31959
    “…Based on multivariate Cox regression analysis, GCS + CTX treatment was found to be independently associated with a decrease in risk for the composite endpoint after adjusted by the International Risk Prediction Score with race (hazard ratio = 0.17, 95% confidence interval 0.04–0.83, P = .03). …”
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  20. 31960
    “…Risk factors that were found to be associated with a higher incidence of PPD are gender (female), race (Caucasian), and age (young patients). Analysis revealed the history of tobacco-related disorder, obesity, morbid obesity, liver cirrhosis, and Parkinson’s disease increased the odds of developing PPD following RSA. …”
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