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32321por Gravenstein, Stefan, Davidson, H Edward, Mcconeghy, Kevin, Han, Lisa, Canaday, David, Saade, Elie, Baier, Rosa R, Mor, Vincent“…Post-hoc adjustment for the imbalance in race increased heterogeneity, HR 0.97, 95% CI: 0.91, 1.04. …”
Publicado 2018
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32322por Wiesner, Martin, Zowalla, Richard, Suleder, Julian, Westers, Maximilian, Pobiruchin, Monika“…The survey was conducted at a regional road race event in May 2017, paperless via a self-implemented app. …”
Publicado 2018
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32323por Haut, Elliott R., Aboagye, Jonathan K., Shaffer, Dauryne L., Wang, Jiangxia, Hobson, Deborah B., Yenokyan, Gayane, Sugar, Elizabeth A., Kraus, Peggy S., Farrow, Norma E., Canner, Joseph K., Owodunni, Oluwafemi P., Florecki, Katherine L., Webster, Kristen L. W., Holzmueller, Christine G., Pronovost, Peter J., Streiff, Michael B., Lau, Brandyn D.“…Preintervention and postintervention groups were relatively similar in age, sex, race, and medical or surgery unit. From the preintervention period to the postintervention period, on intervention units, the conditional odds of VTE prophylaxis nonadministration declined significantly (9.1% [95% CI, 5.2%-16.2%] vs 5.6% [95% CI, 3.1%-9.9%]; odds ratio [OR], 0.57; 95% CI, 0.48-0.67) compared with no change on control units (13.6% [95% CI, 9.8%-18.7%] vs 13.3% [95% CI, 9.6%-18.5%]; OR, 0.98; 95% CI, 0.91-1.07; P < .001 for interaction). …”
Publicado 2018
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32324“…Visits were divided by urban and rural classification and stratified by age, sex, race/ethnicity, and payer. Emergency departments were categorized as urban or rural in accordance with the US Office of Management and Budget classification. …”
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32325“…Mixed linear models adjusted for age, gender, race, ethnicity, preferred language, and baseline weight. …”
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32326por Chen, Kristina, Curhan, Gary, Gosmanova, Elvira, Rejnmark, Lars, Swallow, Elyse, Briggs, Allison, Macheca, Monica, Sherry, Nicole, Ketteler, Markus“…Adjusting parameters included demographic (age, sex, race, region, and index year) and clinical (eGFR, heart failure, hypertension, diabetes, and medication use) characteristics at baseline. …”
Publicado 2019
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32327por Liu, Jerry, Gu, Kristine, Lo, Joan, Chandra, Malini, Ramalingam, Nirmala, O’Connor, Patrick, Greenspan, Louise“…METHODS: Using data from a large integrated healthcare delivery system, 160,178 children between age 3-17y were identified from well-child clinic visits during July 2007 to December 2010. Age, race/ethnicity, weight, and height were obtained from health plan databases. …”
Publicado 2019
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32328“…Previous studies demonstrated a positive relationship between blood sodium concentration and bone mineral density (BMD) in ultramarathon runners following a 100-mile race (1) and a negative relationship in walkers (treadmill walking for 45-minutes) following an oral sodium load (2). …”
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32329“…Linear regression was used to assess percent change in T25D and F25D on percent change in PTH, accounting for age (young, old), race (Caucasians, African Americans) and interactions. …”
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32330“…Factors associated with receiving orlistat vs. other WMMs were increasing age (age ≥ 65 aOR=2.6, 95%CI: 1.6 – 4.1), Black/non-Hispanic race (aOR=1.5, 95% CI: 1.2 – 1.9), female sex (aOR=1.8, 95% CI: 1.4 – 2.3), hypertension (aOR=1.4, 95% CI: 1.1-1.7) and low back pain (aOR=1.6, 95% CI: 1.3-1.9). …”
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32331por Stimpson, Jim P., Kemmick Pintor, Jessie, McKenna, Ryan M., Park, Sungchul, Wilson, Fernando A.“…RESULTS: Of 2 549 376 Medicaid-eligible adults, 1 348 620 (52.9%) were female; 1 218 602 (47.8%) were non-Hispanic white, 497 128 (19.5%) were non-Hispanic black, 211 598 (8.3%) were Hispanic, and 206 499 (8.1%) were of other race/ethnicity; and 619 498 (24.3%) reported at least 1 disability. …”
Publicado 2019
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32332por Keaver, Laura, McGough, Aisling, Du, Mengxi, Chang, Winnie, Chomitz, Virginia, Allen, Jennifer D, Attai, Deanna J, Gualtieri, Lisa, Zhang, Fang Fang“…Non-Hispanic whites and breast cancer survivors were more willing to donate biospecimens than those with other race, ethnicity or cancer types. CONCLUSIONS: Twitter could be a feasible approach to recruit cancer survivors into nutrition research and web-based interventions with potentially high yields. …”
Publicado 2019
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32333por Hatef, Elham, Rouhizadeh, Masoud, Tia, Iddrisu, Lasser, Elyse, Hill-Briggs, Felicia, Marsteller, Jill, Kharrazi, Hadi“…Ethnicity was captured for 2.7 million (50.00%), whereas race was documented for 4.9 million (90.00%) and a preferred language for 2.7 million (49.00%) patients. …”
Publicado 2019
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32334por Ford, Carol A., Mirman, Jessica H., García-España, J. Felipe, Fisher Thiel, Megan C., Friedrich, Elizabeth, Salek, Elyse C., Jaccard, James“…Adolescents included 60 girls (50.9%); 67 adolescents (56.8%) were aged 14 years, and 51 adolescents (43.2%) were aged 15 years. Participant race/ethnicity reflected that of the practice (63 black adolescents [53.4%]; 46 white adolescents [38.9%]; 111 non-Hispanic adolescents [94.1%]). …”
Publicado 2019
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32335por Barwise, Amelia, Cheville, Andrea, Wieland, Mark, Gajic, Ognjen, Greenberg-Worisek, Alexandra“…Descriptive statistics were calculated, and bivariate analyses run between the outcomes of interest and sociodemographic characteristics (age, sex, education, race/ethnicity, nativity, English language proficiency). …”
Publicado 2019
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32336por Corsino, Leonor, Freel, Stephanie A., Bonner, Melanie, Wilson, Joan, McCray, Christie, Cullins, Maureen, Lee, Linda S., Andolsek, Kathryn M.“…Our students come from diverse background with a third from populations historically underrepresented in STEM due to race/ethnicity, and another third underrepresented due to other factors such as low socioeconomic status, first generation to college, LGBQT, and those from rural and immigrant communities. …”
Publicado 2018
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32337“…We collected data on patient demographics (age, insurance plan, race/ethnicity, primary language, history of cancer), provider characteristics (referring provider location), and post-referral testing. …”
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32338por Jones, Austin Taylor, Moreno-Walton, Lisa, Okeke-Eweni, Kanayo R., McGonigle, Keanan M., Yang, David H., Kim, Morris, Miller, Jenna, Kissinger, Patricia“…DISCUSSION/SIGNIFICANCE OF IMPACT: Race alone cannot explain differences in achievement along the care cascade. …”
Publicado 2019
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32339por Rebeiro, Peter F, Rebeiro, Peter F, Jenkins, Cathy, Bian, Aihua, Lake, Jordan, Lake, Jordan, Bourgi, Kassem, Bourgi, Kassem, Horberg, Michael A, Horberg, Michael A, Moore, Richard, Moore, Richard, Altoff, Keri, Klein, Marina, Eron, Joseph J, Eron, Joseph J, Gill, M John, Kitahata, Mari, Napravnik, Sonia, Silverberg, Michael, Mayor, Angel M, Willig, Amanda, Willig, Amanda, Floris-Moore, Michelle, Sterling, Timothy, Koethe, John R, Koethe, John R“…Cox regression stratified by site and adjusting for age, sex, race, HIV transmission risk, year of ART initiation, and baseline weight, CD4(+) cell count, and HIV-1 RNA yielded adjusted hazard ratios (HR) and 95% confidence intervals (CI) for incident DM by ART class and INSTI drug. …”
Publicado 2019
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32340por Razavi, Alexander C., Fernandez, Camilo, Mi, Xuenan, He, Jiang, Bazzano, Lydia, Nierenberg, Jovia, Li, Shengxu, Kelly, Tanika N.“…Covariates adjusted for included sex, age, race, education, alcohol drinking, cigarette smoking, heart rate, systolic blood pressure, glomerular filtrate rate, body mass index, low density lipoprotein cholesterol, high density lipoprotein cholesterol, hemoglobin A1c, serum triglycerides, as well as blood pressure-, lipid-, and glucose-lowering medications. …”
Publicado 2019
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