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  1. 32041
    “…METHODS: Using a national survey of 4551 respondents, we examined the usage patterns of wearable health care devices (use of wearables, frequency of their use, and willingness to share health data from a wearable with a provider) and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status, and household income), individual health (general health, presence of chronic conditions, weight perceptions, frequency of provider visits, and attitude towards exercise), and technology self-efficacy using logistic regression analysis. …”
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  2. 32042
    “…Non-Hispanic black (versus non-Hispanic white) race/ethnicity was associated with higher risk for cardiovascular hospitalization [rate ratio (RR) 1.25, 95% CI: 1.16 to 1.35, p-value < 0.001], while risk among females was lower [RR 0.89, 95% CI: 0.83 to 0.96, p-value = 0.002]. …”
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  3. 32043
    “…Time from last dose of 4v HPV to sample 4, CD4%, age, gender, and race/ethnicity were similar between the groups. Bar Graphs representing Ab response to the 4 HPV types following each dose of 4v HPV vaccine [Image: see text] CONCLUSION: In the complex environment of a pediatric HIV specialty clinic, most PLWH mounted Ab responses to 4v HPV that were durable. …”
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  4. 32044
    “…In multivariable analysis, Black race (aOR=1.56, p< 0.001); MSM-IDU risk (aOR=1.38, p=0.006); lower QoL score (aOR=1.49, p=0.005); poorer ART adherence (aOR=1.84, p< 0.001); duration of lifetime ART [aOR=1.47 (10+yrs), = 1.37 (5-10 yrs); and = 1.28 (2-5 yrs), p< 0.001]; use of InSTIs after eligibility (aOR=1.60, p< 0.001); current smoker (aOR=1.49, p< 0.001), current amphetamine (aOR=1.83, p< 0.001) or cocaine use (aOR=1.46, p=0.012), were associated with viral rebound. …”
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  5. 32045
    “…Neither RT-PCR nor antibody test results differed significantly by race or ethnicity. Table 1. Demographics of participants residing in encampments compared with shelters in Denver, Colorado, May-July 2020 (n=931) [Image: see text] Table 2. …”
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  6. 32046
    “…Among those receiving antivirals, we used multivariable logistic regression to assess the association between the days from symptom onset to admission and receipt of early (0-2 days from symptom onset) versus late (> 2 days) treatment, adjusting for age, sex, race/ethnicity, and underlying medical conditions. …”
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  7. 32047
    “…CONCLUSION: Nearly one-third of US women have had CT by Pgp3MBA, with differences by race/ethnicity. Women with prior CT had three times the reported PID prevalence of women without CT. …”
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  8. 32048
    “…All models were adjusted for age, sex, race, BMI category and key comorbidities. RESULTS: In this study, 178 (39.6%) of 450 participants had DM and 346 (76.9%) were overweight or obese. …”
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  9. 32049
    “…In models adjusted for race, age, sex, comorbidities, baseline O2 saturation and procalcitonin, steroids reduced risk for death or MV by 44% (hazard ratio [HR] 0.56; 95%CI 0.42–0.76; P< 0.001). …”
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  10. 32050
    “…One in four people still harbored stigma towards a person who has recovered from the virus. 28% felt some races are more at risk of the disease though 66% mentioned always practicing social distancing from persons coughing or sneezing. …”
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  11. 32051
  12. 32052
    “…On multivariable analysis, the GC (continuous variable, per 0.1 unit) was independently associated with DM (hazard ratio [HR], 1.17; 95% CI, 1.05-1.32; P = .006), PCSM (HR, 1.39; 95% CI, 1.20-1.63; P < .001), and OS (HR, 1.17; 95% CI, 1.06-1.29; P = .002) after adjusting for age, race/ethnicity, Gleason score, T stage, margin status, entry prostate-specific antigen, and treatment arm. …”
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  13. 32053
    “…A chronic stress and stroke risk phenotype (Stressed) score, independent of age, race or gender, was applied to stratify participants (N = 264; aged 44 ± 9 years) into high stress risk (Stressed, N = 159) and low stress risk (non-Stressed, N = 105) groups. …”
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  14. 32054
    “…Factors assessed for potential links to severe outcomes included pre-existing patient factors (sex, age, race or ethnicity, obesity, and MIS-C symptom onset date before June 1, 2020) and clinical findings (signs or symptoms and laboratory markers). …”
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  15. 32055
    “…EXPOSURES: Model variables included demographic (age, race, sex, ethnicity), community (known COVID-19 contact, COVID-19 cumulative incidence by 3-digit zip code prefix), and health care (workplace, job role, COVID-19 patient contact) factors. …”
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  16. 32056
    “…Variables collected include patient age, sex, race, ethnicity, county and state of residence, date of illness onset, clinical syndrome, hospitalization, and death. …”
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  17. 32057
    “…The coprimary outcomes were the prevalence of TME stratified by etiology and in-hospital mortality (excluding comfort care only patients) assessed by using a multivariable time-dependent Cox proportional hazards models with adjustment for age, race, sex, intubation, intensive care unit requirement, Sequential Organ Failure Assessment scores, hospital location, and date of admission. …”
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  18. 32058
    por Qi, Andrea, Dada, David
    Publicado 2021
    “…Demographic information such as race, ethnicity, marriage status, and living situation were collected. …”
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  19. 32059
    “…COVID-19 cumulative incidence, hospitalization, and deaths among DMT classes were compared using logistic regression (adjusted for age, sex, body mass index, comorbidities, and race/ethnicity). As a secondary data source to assess safety data, COVID-19 reports for Biogen MS therapies were extracted and described from Biogen’s Global Safety Database. …”
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  20. 32060
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