“…METHODS: The participants were a sample of Twitter-using adults (SOCIAL I: N=1123) targeted to be nationally representative in terms of age, sex assigned at birth, race, and ethnicity, as well as a sample of college students in the Midwest (SOCIAL II: N=1988), of which 61.78% (1228/1988) were Twitter users. …”
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“…To the best of our knowledge, only one study investigated the effect of ketogenic diet on the gut microbiome in athletes (elite race walkers), whilst no studies are available in a model of mixed endurance/power sport such as soccer. …”
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“…The information gathered to be used as data points were: Age, sex, race/ethnicity, residency/fellowship training location and graduation year, name of current institution, length of time at current institution, time since training completion until being appointed fellowship director, length in fellowship director role, and personal research H-index. …”
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“…Factors associated with decreased likelihood of HA-VTE included Asian race (vs non-Hispanic White: aOR, 0.65; 95% CI, 0.61-0.69), current admission for suspected stroke (aOR, 0.73; 95% CI, 0.65-0.81), and Hispanic ethnicity (vs non-Hispanic White: aOR, 0.81; 95% CI, 0.77-0.86). …”
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“…Psychiatric history and older age decreased the odds of obtaining an anxiety score under 2 (p<0.05). White race improved the chance of obtaining an anxiety score under 2 and tapering off pain medications (p<0.05). …”
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“…Additionally, demographic information for each patient was collected including age, gender, race, ethnicity. Information regarding their achilles tendinopathy included symptom duration, laterality, prior interventions before ESWT, concurrent foot or ankle injuries on the same side, pain (baseline and follow-ups), PROMIS-10 (baseline and follow-ups) was also collected. …”
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“…Cohort pairs were propensity score matched for age, sex, race, blood pressure, body mass index, and a range of other variables. …”
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“…DATA: We collected Metropolitan Police Service homicide victimisation counts in London for each financial year (April through March) so far in the twenty-first century, by race, gender and age. We also collected the estimated residential population size of those groups from the 2001 and 2011 Census results. …”
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“…We performed logistic regression to evaluate the impact of race, gender, known prior HCV positivity, site of HCV diagnosis, HIV, insurance, active injection drug use (IDU), remote IDU, psychiatric disorder, BC status and early/late diagnosis on LTC. …”
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“…Risk factors for HHV6 DNAemia included African American race, underlying ALL, Haploidentical or cord HCT, marrow or cord source of stem cells, use of Post-cyclophosphamide, and CS-CMVi. …”
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“…AR-GNB cases with a SC2+ test versus those without were more likely to be Black, non-Hispanic than another race/ethnicity (31% vs 15%; P< 0.0001), aged ≥65 years (62% vs 52%; P=0.0139), and to have prior healthcare exposures (63% vs 49%; P=0.0003) and indwelling devices (51% vs 28%; P< 0.0001). …”
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“…PARTICIPANTS: Adult CCS participants who reported a positive SARS-CoV-2 test result (PCR, Antigen, or Antibody) more than 30 days prior to May 4, 2022, were surveyed. EXPOSURES: Age, sex, race/ethnicity, education, employment, socioeconomic status/financial insecurity, self-reported medical history, vaccination status, time of infection (variant wave), number of acute symptoms, pre-COVID depression, anxiety, alcohol and drug use, sleep, exercise. …”
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“…Age, federal poverty level, number of primary care provider visits in the past 12 months, number of nonurgent ER visits in the past 12 months, number of urgent ER visits in the past 12 months, number of ER visits leading to inpatient stays in the past 12 months, race, gender, ethnicity, insurance, education, residential area, access to the internet, difficulty accessing health care, usual source of care, status of primary care provider, and status of chronic condition all had at least one statistically significant relationship with the use of a specific digital health category. …”
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“…Factors associated with COVID-19-associated hospitalization included the following: older age (25–44 [adjusted odds ratio {aOR}= 1.8, 95% confidence interval (CI) = 1.1–2.9], 45–64 [aOR = 6.8, 95% CI = 4.2–11.0] and ≥65 years [aOR = 26.6, 95% CI = 14.4–49.1] vs 15–24 years); black race (aOR, 3.3; 95% CI, 2.2–5.0); obesity (aOR, 2.3; 95% CI, 1.4–3.9); asthma (aOR, 3.5; 95% CI, 1.4–8.9); diabetes mellitus (aOR, 5.3; 95% CI, 3.1–9.3); HIV with CD4 ≥200/mm(3) (aOR, 1.5; 95% CI, 1.1–2.2) and CD4 <200/mm(3) (aOR, 10.5; 95% CI, 5.1–21.6) or tuberculosis (aOR, 12.8; 95% CI, 2.8–58.5). …”
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“…Controls were defined as patients not readmitted within 90 days of discharge, matched by age, sex, race, and Medicaid eligibility. RESULTS: In each condition, the visual analytical model identified patient subgroups that were statistically significant (Q=0.17, 0.17, 0.31; P<.001, <.001, <.05), significantly replicated (Rand Index=0.92, 0.94, 0.89; P<.001, <.001, <.01), and clinically meaningful to clinicians. …”
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“…We report the odds of ICD-10-CM coding associated with ICD-9-CM controlling for provider type, and patient age, sex, and race/ethnicity. RESULTS: Only 37%, 58% and 34% of patients with ICD-9-CM coding of NOS, migraine, and PTH respectively had an ICD-10-CM headache diagnosis. …”
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“…BACKGROUND: The American College of Obstetricians and Gynecologists recommends early screening for gestational diabetes mellitus among pregnant Asian people with a prepregnancy body mass index ≥23.0 kg/m(2), in contrast with the recommended screening at a body mass index ≥25 kg/m(2) for other races and ethnicities. However, there is significant heterogeneity within Asian and Pacific Islander populations, and gestational diabetes mellitus and its association with body mass index among Asian and Pacific Islander subgroups may not be uniform across all groups. …”
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“…Contraception use was also associated with HPV vaccination (aOR 8.36 (95% CI [1.41, 49.62]; p = 0.020). Race, ethnicity, college education status, and number of sexual partners were not significant predictors of HPV vaccination. …”
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“…We aimed to evaluate the impact of characteristics such as sex, age, ethnicity, race, tobacco use, diagnosis, cancer metastasis, treatment, and family history on overall survival among individuals diagnosed with soft tissue or bone sarcomas. …”
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“…RESULTS: The sample included 57 773 Medicare beneficiaries (36 348 women [62.9%]; mean [SD] age, 73.8 [6.3] years; 2954 [5.1%] Black, 1545 [2.7%] Hispanic; 50 184 [86.9%] White, and 3090 [5.4%] Other individuals [the Other category included individuals of American Indian, Asian, other, or unknown race and ethnicity]). During a median of 6.9 years (IQR, 4.7-9.3 years) of follow-up, the unadjusted incidence density rate of ADRD was 2.2 cases per 100 person-years (95% CI, 2.1-2.4 cases per 100 person-years) for the group receiving regimens that stimulate type 2 and 4 angiotensin II receptors compared with 3.1 cases per 100 person-years (95% CI, 3.0-3.2 cases per 100 person-years) for the group receiving regimens that inhibit type 2 and 4 angiotensin II receptors and 2.7 cases per 100 person-years (95% CI, 2.6-2.9 cases per 100 person-years) for the group receiving mixed treatment regimens. …”
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