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31801por Choi, Ahhyung, Noh, Yunha, Jeong, Han Eol, Choi, Eun-Young, Man, Kenneth K. C., Han, Jung Yeol, Kim, Hyun-Soo, Yon, Dong Keon, Shin, Ju-Young“…Pregnant women who were exposed to known teratogens or who delivered infants with chromosomal abnormalities or genetic syndromes were excluded. Data on participant race and ethnicity were not collected because the National Health Information Database does not report this information. …”
Publicado 2023
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31802por Harrison, Teresa N., Zhou, Hui, Wei, Rong, Brettler, Jeffrey, Muntner, Paul, An, Jaejin, Ong-Su, Angeline L., Reynolds, Kristi“…Blood pressure control disparities from 2008 through 2019 by age, sex, race and ethnicity, and factors associated with BP control were examined. …”
Publicado 2023
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31803“…A forced-match design was used to match both groups in the study population by age category, sex, race and ethnicity, Medicare-Medicaid dual eligibility status, COVID-19 Vulnerability Index score, Maryland county of residence, and primary care practice participation. …”
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31804por Glance, Laurent G., Joynt Maddox, Karen E., Mazzefi, Michael, Knight, Peter W., Eaton, Michael P., Feng, Changyong, Kertai, Miklos D., Albernathy, James, Wu, Isaac Y., Wyrobek, Julie A., Cevasco, Marisa, Desai, Nimesh, Dick, Andrew W.“…MAIN OUTCOMES AND MEASURES: The association between MIMVS (vs full sternotomy) and race and ethnicity were evaluated using logistic regression. …”
Publicado 2022
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31805por Makarem, Nour, Chau, Kristi, Miller, Eliza C., Gyamfi-Bannerman, Cynthia, Tous, Isabella, Booker, Whitney, Catov, Janet M., Haas, David M., Grobman, William A., Levine, Lisa D., McNeil, Rebecca, Bairey Merz, C. Noel, Reddy, Uma, Wapner, Ronald J., Wong, Melissa S., Bello, Natalie A.“…There were no differences by race, ethnicity, and prepregnancy body mass index, but associations were stronger among women aged 35 years or older (aOR, 0.54 [95% CI, 0.34-0.84]; P = .02 for interaction). …”
Publicado 2022
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31806por Bohn, Bruno, Lutsey, Pamela L., Misialek, Jeffrey R., Walker, Keenan A., Brown, Charles H., Hughes, Timothy M., Ishigami, Junichi, Matsushita, Kunihiro, Demmer, Ryan T.“…RESULTS: Of the 15 792 ARIC study participants, an analytical cohort of 15 688 participants who were dementia free at baseline and of Black or White race were selected (8658 female [55.2%]; 4210 Black [26.8%]; mean [SD] baseline age, 54.7 [5.8] years). …”
Publicado 2023
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31807por Hu, Xin, Ma, Jiemin, Jemal, Ahmedin, Zhao, Jingxuan, Nogueira, Leticia, Ji, Xu, Yabroff, K. Robin, Han, Xuesong“…Standardized mortality ratios (SMRs) were calculated adjusting for attained age at death, sex, and race and ethnicity groups to compare suicide risks in the cancer cohort vs the general US population. …”
Publicado 2023
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31808“…In addition to the overall prevalence of people with disabilities, we disaggregate the population of people with disabilities by gender, race, ethnicity, age, and disability impairment type. …”
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31809por Ullah, Asad, Saeed, Omer, Karki, Nabin Raj, Goodbee, Mya, Yasinzai, Abdul Qahar Khan, Waheed, Abdul, Heneidi, Saleh, Thomas, Anish, Karim, Nagla Abdel, Johnson, Joyce, Del Rivero, Jaydira, Khan, Jaffar“…Data extracted for analyses included age, sex, race, tumor size, tumor location, metastasis status, stage at diagnosis, treatment received, and treatment outcomes. …”
Publicado 2023
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31810Trends in Screen Time Use Among Children During the COVID-19 Pandemic, July 2019 Through August 2021por Hedderson, Monique M., Bekelman, Traci A., Li, Mingyi, Knapp, Emily A., Palmore, Meredith, Dong, Yanan, Elliott, Amy J., Friedman, Chloe, Galarce, Maren, Gilbert-Diamond, Diane, Glueck, Deborah, Hockett, Christine W., Lucchini, Maristella, McDonald, Julia, Sauder, Katherine, Zhu, Yeyi, Karagas, Margaret R., Dabelea, Dana, Ferrara, Assiamira“…Linear mixed-effects models were used for screen time adjusted for child’s age, number of siblings, sex, race, ethnicity, and maternal education. RESULTS: The cohort included 228 children (prepandemic mean [SD] age, 7.0 [2.7] years; 100 female [43.9%]) with screen time measured during the prepandemic period and at least once during the pandemic period. …”
Publicado 2023
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31811“…Participant differences (sex assigned at birth, race and ethnicity, sexual orientation, region, and urbanicity) were identified between platforms and methods both in terms of overall number of participants and cost per participant. …”
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31812por Li, Qingfeng, Peng, James Cheng, Mohan, Diwakar, Lake, Brennan, Euler, Alex Ruiz, Weir, Brian, Kan, Lena, Yang, Cui, Labrique, Alain“…To minimize potential bias in exposure to the campaign, the model included several control variables (eg, age, race or ethnicity, income, and political affiliation). …”
Publicado 2023
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31813por Rajagopala, Seesandra V., Strickland, Britton A., Pakala, Suman B., Kimura, Kyle S., Shilts, Meghan H., Rosas-Salazar, Christian, Brown, Hunter M., Freeman, Michael H., Wessinger, Bronson C., Gupta, Veerain, Phillips, Elizabeth, Mallal, Simon A., Turner, Justin H., Das, Suman R.“…We observed a significant positive correlation between SARS-CoV-2 viral load and interferon signaling (OAS2, OAS3, IFIT1, UPS18, ISG15, ISG20, IFITM1, and OASL), chemokine signaling (CXCL10 and CXCL11), and adaptive immune system (IFITM1, CD300E, and SIGLEC1) genes in symptomatic, mild-to-moderate COVID-19 adults, when adjusting for age, sex, and race. Interestingly, the expression levels of most of these genes plateaued at a cycle threshold (C(T)) value of ~25. …”
Publicado 2023
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31814por Nguyen-Truong, Connie Kim Yen, Waters, Sara F, Richardson, Meenakshi, Barrow, Natasha, Seia, Joseph, Eti, Deborah U, Rodela, Keara Funchess“…OBJECTIVE: The aim of this community-based participatory research qualitative description study was to identify perceptions and experiences regarding racial discrimination, race-based stress, and racial trauma; intergenerational healing and resiliency; and sharing the body with science from key informants of an academic and community partnership to inform antiracism coalition work. …”
Publicado 2023
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31815por Espinoza, Andres F., Scheurer, Michael E., Chambers, Tiffany M., Vasudevan, Sanjeev A., Lupo, Philip J.“…Demographic and clinical variables including sex, race/ethnicity, age at diagnosis, urban-rural status, and residence along the Texas-Mexico border were evaluated. …”
Publicado 2023
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31816por Kablawi, D, Aljohani, F, Palumbo, C S, Restellini, S, Bitton, A, Wild, G, Afif, W, Lakatos, P L, Bessissow, T, Sebastiani, G“…Cardiovascular risk was assessed with the atherosclerotic cardiovascular disease (ASCVD) risk estimator proposed by the American Heart Association and computed from age, sex, race, lipid pattern, blood pressure, diabetes treatment and smoking. …”
Publicado 2023
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31817por Kablawi, D, Aljohani, F, Palumbo, C S, Restellini, S, Bitton, A, Wild, G, Afif, W, Latakos, P L, Bessissow, T, Sebastiani, G“…Cardiovascular risk was assessed with the atherosclerotic cardiovascular disease (ASCVD) risk estimator proposed by the American Heart Association and computed from age, sex, race, lipid pattern, blood pressure, diabetes treatment and smoking. …”
Publicado 2023
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31818por Almeida, Fabio A., You, Wen, Brito, Fabiana A., Alves, Thais F., Goessl, Cody, Wall, Sarah S., Seidel, Richard W., Davy, Brenda M., Greenawald, Mark H., Hill, Jennie L., Estabrooks, Paul A.“…Intention to treat analyses, controlling for gender, race, age and baseline BMI, showed that DVD/IVR and Class/IVR led to reductions in BMI at 6 (DVD/IVR −0.94, p < 0.001; Class/IVR −0.70, p < 0.01), 12 (DVD/IVR −0.88, p < 0.001; Class/IVR-0.82, p < 0.001) and 18 (DVD/IVR −0.78, p < 0.001; Class/IVR −0.58, p < 0.01) months. …”
Publicado 2023
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31819por Gupta, Avni, Hu, Jiyuan, Huang, Shengnan, Diaz, Laura, Gore, Radhika, Levy, Natalie, Bergman, Michael, Tanner, Michael, Sherman, Scott E., Islam, Nadia, Schwartz, Mark D.“…After adjusting for patient gender, language, race, ethnicity, and age, the implementation site moderated adherence to goal setting (77.4% BH vs. 87.7% VA), educational coaching (78.9% BH vs. 88.3% VA), number of successful CHW-patient encounters (6 BH vs 4 VA) and percent of patients receiving all four components (41.1% BH vs. 25.7% VA). …”
Publicado 2023
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31820por McConnell, Kate H., Hajat, Anjum, Sack, Coralynn, Mooney, Stephen J., Khosropour, Christine M.“…Adjusting for sex, age, race and ethnicity, and health insurance, we estimated risk ratios (aRRs) and risk differences (aRDs), overall and by age group (18–39, 40–64, and 65 + years). …”
Publicado 2023
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