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31641“…CONCLUSIONS: Studies should consider social factors such as gender, race/ethnicity, and age when monitoring trends in eHealth use to ensure that eHealth use does not induce greater health status and health care disparities between people with different backgrounds and demographic characteristics.…”
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31642por Janevic, Teresa, Glazer, Kimberly B., Vieira, Luciana, Weber, Ellerie, Stone, Joanne, Stern, Toni, Bianco, Angela, Wagner, Brian, Dolan, Siobhan M., Howell, Elizabeth A.“…RESULTS: Of 3834 women in the pandemic cohort, 492 (12.8%) self-identified as Black, 678 (17.7%) as Latina, 2012 (52.5%) as White, 408 (10.6%) as Asian, and 244 (6.4%) as other or unspecified race/ethnicity, with approximately half the women 25 to 34 years of age. …”
Publicado 2021
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31643por Salter, Amber, Fox, Robert J., Newsome, Scott D., Halper, June, Li, David K. B., Kanellis, Pamela, Costello, Kathleen, Bebo, Bruce, Rammohan, Kottil, Cutter, Gary R., Cross, Anne H.“…Other risk factors for worse outcomes included older age, Black race, cardiovascular comorbidities, and recent treatment with corticosteroids. …”
Publicado 2021
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31644por Snyder, Teah, Ravenhurst, Johanna, Cramer, Estee Y., Reich, Nicholas G., Balzer, Laura B., Alfandari, Dominique, Lover, Andrew A.“…In the primary sampling group, self-reported febrile illness since Feb 2020, male sex, and minority race (Black or American Indian/Alaskan Native) were associated with seropositivity. …”
Publicado 2021
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31645por Edwards, Christopher J., Sawant, Ruta, Garg, Vishvas, Du, Ella X., Friedman, Alan, Betts, Keith A.“…Data from patients in the upadacitinib trials were re-weighted based on age, sex, race, swollen joint count 66/28, tender joint count 68/28, C-reactive protein (CRP), and patients’ global assessments to match the patient characteristics in tofacitinib trials. …”
Publicado 2020
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31646por Bhargava, Ashish, Szpunar, Susanna M., Sharma, Mamta, Fukushima, Elisa Akagi, Hoshi, Sami, Levine, Miriam, Gandhi, Nikhil, Zhao, Wei, Michael, Somero, Tanveer, Farah, Youssef, Dima, Coyle, Meredith, Leonard, Johnson, Saravolatz, Louis“…BACKGROUND: Mortality from COVID-19 has been associated with older age, black race, and comorbidities including obesity, Understanding the clinical risk factors and laboratory biomarkers associated with severe and fatal COVID-19 will allow early interventions to help mitigate adverse outcomes. …”
Publicado 2021
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31647por Gan, Tong, Schaberg, Kurt B., He, Daheng, Mansour, Akila, Kapoor, Harit, Wang, Chi, Evers, B. Mark, Bocklage, Therese J.“…Secondary outcomes include the association of TB with clinical features (ie, age, race, sex, TNM stage, tumor location) and pathological features (ie, poorly differentiated tumor clusters [PDCs], Klintrup-Mäkinen inflammatory score, desmoplasia, infiltrative tumor border, tumor necrosis, and tumor-to-stroma ratio). …”
Publicado 2021
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31648“…Significant disparities in diet quality trends were seen by sex, race/ethnicity, educational level, and household income for food consumed from grocery stores. …”
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31649“…Conversely, in patients with adrenal masses, there were no sex, age, or race differences between those screened vs. not screened for PA. …”
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31650por Hoeger, Kathleen M, Harrington, Donald, Thurston, Sally, Bush, Nicole R, Sathyanarayana, Sheela, Nguyen, Ruby H N, Collett, Brent R, Day, Drew B, Swan, Shanna H, Barrett, Emily S“…We fit linear regression models considering three outcomes: (1) BASC-2 externalizing composite score (e.g., hyperactivity, aggression); (2) BASC internalizing composite score (e.g., anxiety, depression, somatization); and (3) SRS-2 total score, adjusting for covariates, maternal age, child age, race, study center, income, education, alcohol and tobacco use, child sex, maternal depression. …”
Publicado 2021
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31651por Neves, João Sergio, Blair, Rachel, Nicklas, Jacinda M, Horn, Christine, Skurnik, Geraldine, Seely, Ellen W“…Models were adjusted for age, race/ethnicity, low household income, pre-pregnancy BMI, and weeks since delivery. …”
Publicado 2021
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31652“…After adjusting for age, BMI, and race/ethnicity, there was a statistically significant increased prevalence of hypertriglyceridemia in both women (OR 7.29, 95% CI 3.77-14.00) and men (OR 10.15, 95% CI 4.68-22.00) with AMH PAVs compared to sex-, age- and BMI-matched controls. …”
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31653“…Data comprised of age, gender, race/ethnicity, and BMI. Samples collected included blood and subcutaneous adipose tissue. …”
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31654por Kaplowitz, Paul B, Manjelievskaia, Janna, Lopez-Gonzalez, Lorena, Marrow, Cynthia D, Pitukcheewanont, Pisit, Smith, Alden“…Children with GHD were direct matched (1:3) to controls without GHD (or other short stature-related disorder) on age, gender, plan type, region, and race (Medicaid only). The index date was set as the date of the first GHD diagnosis during the selection window for GHD patients and using random assignment for controls. …”
Publicado 2021
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31655por Savatt, Juliann M, Deckard, Nicole M, Thone, Gretchen, McDonald, Whitney S, Alvi, Madiha M, Purdy, Nicholas C, Lindemann, Timothy L, Sturm, Amy C, Buchanan, Adam H“…Of 87,493 participants with available exome data, P/LP variants in genes of interest were identified in and disclosed to 80 participants (65% female, 99% self-reported White race, 99% self-reported non-Hispanic ethnicity, median age 57 years at results disclosure, median time since disclosure 2 years). …”
Publicado 2021
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31656por Aristizabal, Paula, Ma, Arissa K., Kumar, Nikhil V., Perdomo, Bianca P., Thornburg, Courtney D., Martinez, Maria Elena, Nodora, Jesse“…MAIN OUTCOMES AND MEASURES: The primary outcome of interest was perception of voluntariness and its associations with health literacy and other contextual factors (acculturation, decisional regret, and satisfaction with informed consent) and sociodemographic characteristics, including age, race/ethnicity, parental language, educational level, insurance type, marital status, and socioeconomic status. …”
Publicado 2021
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31657por Meiksin, Rebecca, Melendez-Torres, G J, Falconer, Jane, Witzel, T Charles, Weatherburn, Peter, Bonell, Chris“…Some evidence suggested that acceptability varied by race or ethnicity and educational level; findings on variation by socioeconomic status were mixed. …”
Publicado 2021
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31658por Chou, Sherry H.-Y., Beghi, Ettore, Helbok, Raimund, Moro, Elena, Sampson, Joshua, Altamirano, Valeria, Mainali, Shraddha, Bassetti, Claudio, Suarez, Jose I., McNett, Molly“…Presence of clinically captured neurologic signs and/or syndromes was associated with increased risk of in-hospital death (adjusted odds ratio [aOR], 5.99; 95% CI, 4.33-8.28) after adjusting for study site, age, sex, race, and ethnicity. Presence of preexisting neurological disorders (aOR, 2.23; 95% CI, 1.80-2.75) was associated with increased risk of developing neurological signs and/or syndromes with COVID-19. …”
Publicado 2021
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31659“…The goal of the survey is to collect data about the characteristics of lupus patients (eg, gender, race/ethnicity, educational level) and their attitudes toward using Twitter for engaging them with their health care. …”
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31660por Larimer, Karen, Wegerich, Stephan, Splan, Joel, Chestek, David, Prendergast, Heather, Vanden Hoek, Terry“…Furthermore, we will determine the sex or gender and race or ethnicity of the participants, which would account for differences in the CDI performance, as well as the lead time—time to predict decompensation—and its relationship with the ultimate disease severity based on the World Health Organization COVID-19 ordinal scale. …”
Publicado 2021
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