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32181“…We used multilevel logistic regression to compare perceived unmet healthcare needs among individuals with and without IBD, clustering by health region and controlling for age, immigration status, race, home ownership, marital status, annual household income, education level, and number of chronic conditions (0, 1, 2+). …”
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32182por Wang, Jiang-Shui, Xia, Peng-Fei, Ma, Meng-Nan, Li, Yue, Geng, Ting-Ting, Zhang, Yan-Bo, Tu, Zhou-Zheng, Jiang, Limiao, Zhou, Li-Rong, Zhang, Bing-Fei, Tong, Wen-Wei, Shan, Zhilei, Liu, Gang, Yang, Kun, Pan, An“…Their weighted mean (SE) age was 47.1 (0.2) years; 50.8% were women, and 68.8% self-reported their race and ethnicity as non-Hispanic White. The age-standardized prevalence (95% CI) of MHO increased from 3.2% (2.6%-3.8%) in the 1999-2002 cycles to 6.6% (5.3%-7.9%) in the 2015-2018 cycles (P < .001 for trend). …”
Publicado 2023
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32183por Wen, Xue, Shu, Yinuo, Qu, Diyang, Wang, Yinzhe, Cui, Zaixu, Zhang, Xiaoqian, Chen, Runsen“…The main purpose of our study is to examine the associations of general and specific peer victimization/bullying perpetration with preadolescents’ (1) suicidality and non-suicidal self-injury; (2) executive function and memory, including attention inhibition, processing speed, emotion working memory, and episodic memory; (3) brain structure abnormalities; and (4) brain network disturbances. Age, sex, race/ethnicity, body mass index (BMI), socioeconomic status (SES), and data acquisition site were included as covariates. …”
Publicado 2023
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32184por Lai, Li, Liu, Li, Wang, Yaochen, Liu, Shanlong, Zhang, Jiancheng, Zheng, Xiaochun“…They also examined the genetic population differences between different races based on DNA profiles. Hence, the novel training project could be useful for training workshops, forensic experimental courses, and medical big data research.…”
Publicado 2023
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32185por Mitchell, Suzanne E, Bragg, Alexa, De La Cruz, Barbara A, Winter, Michael R, Reichert, Matthew J, Laird, Lance D, Moldovan, Ioana A, Parker, Kimberly N, Martin-Howard, Jessica, Gardiner, Paula“…We enrolled adult women (aged ≥18 years) who self-reported African American or Black race or Hispanic or Latina ethnicity and had type 2 diabetes mellitus and HbA(1c) ≥8%. …”
Publicado 2023
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32186por Robertson, Douglas J., Dominitz, Jason A., Beed, Alexander, Boardman, Kathy D., Del Curto, Barbara J., Guarino, Peter D., Imperiale, Thomas F., LaCasse, Andrew, Larson, Meaghan F., Gupta, Samir, Lieberman, David, Planeta, Beata, Shaukat, Aasma, Sultan, Shanaz, Menees, Stacy B., Saini, Sameer D., Schoenfeld, Philip, Goebel, Stephan, von Rosenvinge, Erik C., Baffy, Gyorgy, Halasz, Ildiko, Pedrosa, Marcos C., Kahng, Lyn Sue, Cassim, Riaz, Greer, Katarina B., Kinnard, Margaret F., Bhatt, Divya B., Dunbar, Kerry B., Harford, William V., Mengshol, John A., Olson, Jed E., Patel, Swati G., Antaki, Fadi, Fisher, Deborah A., Sullivan, Brian A., Lenza, Christopher, Prajapati, Devang N., Wong, Helen, Beyth, Rebecca, Lieb, John G., Manlolo, Joseph, Ona, Fernando V., Cole, Rhonda A., Khalaf, Natalia, Kahi, Charles J., Kohli, Divyanshoo Rai, Rai, Tarun, Sharma, Prateek, Anastasiou, Jiannis, Hagedorn, Curt, Fernando, Ronald S., Jackson, Christian S., Jamal, M. Mazen, Lee, Robert H., Merchant, Farrukh, May, Folasade P., Pisegna, Joseph R., Omer, Endashaw, Parajuli, Dipendra, Said, Adnan, Nguyen, Toan D., Tombazzi, Claudio Ruben, Feldman, Paul A., Jacob, Leslie, Koppelman, Rachel N., Lehenbauer, Kyle P., Desai, Deepak S., Madhoun, Mohammad F., Tierney, William M., Ho, Minh Q., Hockman, Heather J., Lopez, Christopher, Carter Paulson, Emily, Tobi, Martin, Pinillos, Hugo L., Young, Michele, Ho, Nancy C., Mascarenhas, Ranjan, Promrat, Kirrichai, Mutha, Pritesh R., Pandak, William M., Shah, Tilak, Schubert, Mitchell, Pancotto, Frank S., Gawron, Andrew J., Underwood, Amelia E., Ho, Samuel B., Magno-Pagatzaurtundua, Priscilla, Toro, Doris H., Beymer, Charles H., Kaz, Andrew M., Elwing, Jill, Gill, Jeffrey A., Goldsmith, Susan F., Yao, Michael D., Protiva, Petr, Pohl, Heiko, Kyriakides, Tassos“…The cohort was racially and ethnically diverse, with 748 (1.5%) identifying as Asian, 12 021 (24.0%) as Black, 415 (0.8%) as Native American or Alaska Native, 34 629 (69.1%) as White, and 1877 (3.7%) as other race, including multiracial; and 5734 (11.4%) as having Hispanic ethnicity. …”
Publicado 2023
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32187por Abubakar, Mustapha, Klein, Alyssa, Fan, Shaoqi, Lawrence, Scott, Mutreja, Karun, Henry, Jill E., Pfeiffer, Ruth M., Duggan, Maire A., Gierach, Gretchen L.“…A positive family history of breast cancer (FHBC) [β (95%CI) (vs no FHBC) = 0.14 (0.02–0.26); P = 0.02], being overweight or obese [β (95%CI) (vs normal weight) = 0.18 (0.06–0.30); P = 0.004 and 0.32 (0.21–0.44); P < 0.001, respectively], and Black race [β (95%CI) (vs White) = 0.12 (− 0.005, 0.25); P = 0.06] were positively associated with ESP. …”
Publicado 2023
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32188por Ponce, Stephanie A., Wilkerson, Miciah, Le, Randy, Nápoles, Anna María, Strassle, Paula D.“…The likelihood of inability to get needed care differed in some instances by race/ethnicity, age, and insurance status. For example, uninsured adults were more likely to not get needed care (≥ 1 chronic condition: aPR = 1.76, 95%CI = 1.17–2.66); no chronic conditions: aPR = 1.25, 95% CI = 1.00–1.56). …”
Publicado 2023
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32189por Hill, Elaine L., Mehta, Hemalkumar B., Sharma, Suchetha, Mane, Klint, Singh, Sharad Kumar, Xie, Catherine, Cathey, Emily, Loomba, Johanna, Russell, Seth, Spratt, Heidi, DeWitt, Peter E., Ammar, Nariman, Madlock-Brown, Charisse, Brown, Donald, McMurry, Julie A., Chute, Christopher G., Haendel, Melissa A., Moffitt, Richard, Pfaff, Emily R., Bennett, Tellen D.“…Characteristics associated with a lower likelihood of PASC diagnosis or care at a long-COVID clinic included younger age (18 to 29 years), male sex, non-Hispanic Black race, and comorbidities such as substance abuse, cardiomyopathy, psychosis, and dementia. …”
Publicado 2023
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32190por Ryu, Soomin, Chaubal, Samhita, Guro, Paula, King, Elizabeth J., Orellana, Robert, Fleischer, Nancy L., Hirschtick, Jana L.“…We conducted modified Poisson regression with robust standard errors to estimate associations between perceived COVID-19 stigma and potential predictors, including sex, age, race and ethnicity, household income, education, employment, smoking status, body mass index, preexisting diagnosed physical or mental comorbidities, and COVID-19 illness severity. …”
Publicado 2023
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32191por Sieverdes, John Christopher, Nemeth, Lynne S, Magwood, Gayenell S, Baliga, Prabhakar K, Chavin, Kenneth D, Brunner-Jackson, Brenda, Patel, Sachin K, Ruggiero, Kenneth J, Treiber, Frank A“…BACKGROUND: There is a critical need to expand the pool of available kidneys for African Americans who are on the transplant wait-list due to the disproportionally lower availability of deceased donor kidneys compared with other races/ethnic groups. Encouraging living donation is one method to fill this need. …”
Publicado 2015
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32192por Stahlman, Shauna, Sanchez, Travis Howard, Sullivan, Patrick Sean, Ketende, Sosthenes, Lyons, Carrie, Charurat, Manhattan E, Drame, Fatou Maria, Diouf, Daouda, Ezouatchi, Rebecca, Kouanda, Seni, Anato, Simplice, Mothopeng, Tampose, Mnisi, Zandile, Baral, Stefan David“…RESULTS: Within the United States, prevalence of sexual behavior stigma did not vary substantially by race/ethnicity or geographic region except in a few instances. …”
Publicado 2016
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32193por Edwards, Todd L., Giri, Ayush, Hellwege, Jacklyn N., Hartmann, Katherine E., Stewart, Elizabeth A., Jeff, Janina M., Bray, Michael J., Pendergrass, Sarah A., Torstenson, Eric S., Keaton, Jacob M., Jones, Sarah H., Gogoi, Radhika P., Kuivaniemi, Helena, Jackson, Kathryn L., Kho, Abel N., Kullo, Iftikhar J., McCarty, Catherine A., Im, Hae Kyung, Pacheco, Jennifer A., Pathak, Jyotishman, Williams, Marc S., Tromp, Gerard, Kenny, Eimear E., Peissig, Peggy L., Denny, Joshua C., Roden, Dan M., Velez Edwards, Digna R.“…Logistic regression models were fit with genetic markers imputed to a 1000 Genomes reference and adjusted for principal components for each race- and site-specific dataset, followed by fixed-effects meta-analysis. …”
Publicado 2019
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32194por Kendzor, Darla E, Businelle, Michael S, Waring, Joseph J C, Mathews, Ashley J, Geller, Daryl W, Barton, Jocelyn M, Alexander, Adam C, Hébert, Emily T, Ra, Chaelin K, Vidrine, Damon J“…RESULTS: Participants (N=16) were predominantly female (12/16, 75%) and non-Hispanic white (11/16, 69%), black (4/16, 25%), or Hispanic of any race (1/16, 6%). Most participants (9/16, 56%) reported an annual household income of <US $11,000. …”
Publicado 2020
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32195por Sadasivam, Rajani Shankar, Kamberi, Ariana, DeLaughter, Kathryn, Phillips, Barrett, Williams, Jessica H, Cutrona, Sarah L, Ray, Midge N, Gilbert, Gregg H, Houston, Thomas K“…In the multivariable model, after adjusting for gender, age, race, education, readiness at baseline, number of cigarettes smoked per day at baseline, and the selected TTS, smokers messaging the TTS one or two times had a smoking cessation odds ratio (OR) of 0.8 (95% CI 0.4-1.4), and those that messaged the TTS more than two times had a smoking cessation OR of 1.0 (95% CI 0.4-2.3). …”
Publicado 2020
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32196por Watanabe, Mitsuru, Nakamura, Yuri, Isobe, Noriko, Tanaka, Masami, Sakoda, Ayako, Hayashi, Fumie, Kawano, Yuji, Yamasaki, Ryo, Matsushita, Takuya, Kira, Jun-ichi“…The strongest susceptibility human leukocyte antigen (HLA) class II alleles for MS are distinct between races (DRB1*15:01 for Caucasians and DRB1*04:05 and DRB1*15:01 for Japanese); therefore, we investigated whether HLA class II alleles modulate anti-JCV antibody serostatus in Japanese MS patients with and without fingolimod. …”
Publicado 2020
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32197por Lin, Yilu, Bailey, James E, Surbhi, Satya, Shuvo, Sohul A, Jackson, Christopher D, Chen, Ming, Price-Haywood, Eboni G, Mann, Joshua, Fort, Daniel, Burton, Jeffrey, Sandlin, Ramona, Castillo, Alexandra, Mei, Hao, Smith, Patti, Leak, Cardella, Le, Phi, Monnette, Alisha M, Shi, Lizheng“…Continuity of care will be calculated at the facility level using a modified version of the Bice-Boxerman continuity of care index. Race will be assessed using electronic medical record data. …”
Publicado 2020
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32198por Yoo, Jeanwoo, Papamanoli, Aikaterini, Grewal, Prabhjot, Nakamura, Jacquelyn, Dhaliwal, Simrat, Fung, Jenny, Jacob, Robin, Abata, Joshua, Hotelling, Jessica, Karkala, Nikitha, Rawal, Sahil, Coritsidis, Alexandra, Tsui, To, Skopicki, Hal, Marcos, Luis A., Kalogeropoulos, Andreas“…In models adjusting for age, sex, race, diabetes, CAD, AF, BMI, and baseline O2SAT, every log-2 (doubling) of NT-proBNP was associated with 29% higher risk (HR 1.29; 95%CI: 1.17-1.43; P<0.001). …”
Publicado 2020
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32199por Muessig, Kathryn Elizabeth, Golinkoff, Jesse M, Hightow-Weidman, Lisa B, Rochelle, Aimee E, Mulawa, Marta I, Hirshfield, Sabina, Rosengren, A Lina, Aryal, Subhash, Buckner, Nickie, Wilson, M Skye, Watson, Dovie L, Houang, Steven, Bauermeister, José Arturo“…BACKGROUND: Stigma and discrimination related to sexuality, race, ethnicity, and HIV status negatively impact HIV testing, engagement in care, and consistent viral suppression (VS) among young Black and Latinx men who have sex with men and transgender women who have sex with men (YBLMT). …”
Publicado 2020
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32200por Viehman, J Alex, Nguyen, M Hong, Garner, Will, Apostolopoulou, Anna, Harris, Gavin H, Lucas, Aaron, Jagadeesan, Vidya, Butler, Sharlay, Rapinski, Glen J, McCreary, Erin K, Arbulu, Ricardo, Ganchuk, Steven, Yang, Anne, Avasarala, Amitha, Trificante, Rosalie, Bollam, Rahul, Zou, Richard H, Moghbeli, Kaveh, Darwish, Malik, Hemadri, Amit, Weslander, Erin, Campfield, Brian T, Michaels, Marian G, Haidar, Ghady, Daley, Jesssica, Martin, Elise, Bariola, J Ryan“…Black patients had a higher race-specific death rate (308 vs 197) per 1000 than white patients (p< 0.001). …”
Publicado 2020
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