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31841por Chang, Alex R, Grams, Morgan E, Ballew, Shoshana H, Bilo, Henk, Correa, Adolfo, Evans, Marie, Gutierrez, Orlando M, Hosseinpanah, Farhad, Iseki, Kunitoshi, Kenealy, Timothy, Klein, Barbara, Kronenberg, Florian, Lee, Brian J, Li, Yuanying, Miura, Katsuyuki, Navaneethan, Sankar D, Roderick, Paul J, Valdivielso, Jose M, Visseren, Frank L J, Zhang, Luxia, Gansevoort, Ron T, Hallan, Stein I, Levey, Andrew S, Matsushita, Kunihiro, Shalev, Varda, Woodward, Mark“…Adjusting for age, sex, race, and current smoking, the hazard ratios for GFR decline comparing body mass indices 30, 35, and 40 with body mass index 25 were 1.18 (95% confidence interval 1.09 to 1.27), 1.69 (1.51 to 1.89), and 2.02 (1.80 to 2.27), respectively. …”
Publicado 2019
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31842por Siegler, Aaron J, Rosenthal, Elizabeth M, Sullivan, Patrick S, Ahlschlager, Lauren, Kelley, Colleen F, Mehta, C Christina, Moore, Reneé H, Rosenberg, Eli S, Cecil, Michael P“…MSM and MSW study arms were similar for a number of key traits including race and ethnicity, marital status, self-rated condom experience, and recent experience of condom failure. …”
Publicado 2019
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31843por Alosco, Michael L., Tripodis, Yorghos, Koerte, Inga K., Jackson, Jonathan D., Chua, Alicia S., Mariani, Megan, Haller, Olivia, Foley, Éimear M., Martin, Brett M., Palmisano, Joseph, Singh, Bhupinder, Green, Katie, Lepage, Christian, Muehlmann, Marc, Makris, Nikos, Cantu, Robert C., Lin, Alexander P., Coleman, Michael, Pasternak, Ofer, Mez, Jesse, Bouix, Sylvain, Shenton, Martha E., Stern, Robert A.“…However, there was a statistically significant Race x CHII interaction for GMV (b = 2206.29, p = 0.001), right hippocampal volume (b = 12.07, p = 0.04), and p-tau(181)/t-tau ratio concentrations (b = −0.01, p = 0.004). …”
Publicado 2019
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31844por Poon, Anna K., Whitsel, Eric A., Heiss, Gerardo, Soliman, Elsayed Z., Wagenknecht, Lynne E., Suzuki, Takeki, Loehr, Laura“…Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals weighted for sampling/non-response, adjusted for age at ancillary visit, sex, and race/study-site. Insulin resistance quartiles 4, 3, and 2 were compared to quartile 1; high indexes refer to quartile 4 versus quartile 1. …”
Publicado 2020
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31845por Critchley, Lacey, Carrico, Adam, Gukasyan, Natalie, Jacobs, Petra, Mandler, Raul N., Rodriguez, Allan E., del Rio, Carlos, Metsch, Lisa R., Feaster, Daniel J.“…METHODS: A generalized linear model compared those who reported opioids as their primary problem drug to those who reported other problem drugs and/or alcohol on their previous engagement in HIV primary care, controlling for age, sex, race, education, income, any previous drug and/or alcohol treatment, length of time since diagnosis, and study site. …”
Publicado 2020
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31846por Nguyen, Long H, Drew, David A, Graham, Mark S, Joshi, Amit D, Guo, Chuan-Guo, Ma, Wenjie, Mehta, Raaj S, Warner, Erica T, Sikavi, Daniel R, Lo, Chun-Han, Kwon, Sohee, Song, Mingyang, Mucci, Lorelei A, Stampfer, Meir J, Willett, Walter C, Eliassen, A Heather, Hart, Jaime E, Chavarro, Jorge E, Rich-Edwards, Janet W, Davies, Richard, Capdevila, Joan, Lee, Karla A, Lochlainn, Mary Ni, Varsavsky, Thomas, Sudre, Carole H, Cardoso, M Jorge, Wolf, Jonathan, Spector, Tim D, Ourselin, Sebastien, Steves, Claire J, Chan, Andrew T“…Participants were voluntary users of the app and at first use provided information on demographic factors (including age, sex, race or ethnic background, height and weight, and occupation) and medical history, and subsequently reported any COVID-19 symptoms. …”
Publicado 2020
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31847por Satre, Derek D., Parthasarathy, Sujaya, Silverberg, Michael J., Horberg, Michael, Young-Wolff, Kelly C., Williams, Emily C., Volberding, Paul, Campbell, Cynthia I.“…CONCLUSIONS: In this sample of PWH newly enrolled in an integrated health care system in California, findings suggest that enrollment via the Exchange and higher deductibles were negatively associated with some aspects of service utilization, high deductibles were associated with worse HIV outcomes, but support from ADAP appeared to help patients achieve viral suppression. Race/ethnic disparities remain important to address even among those with access to insurance coverage.…”
Publicado 2020
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31848por Lees, Briana, Squeglia, Lindsay M., Breslin, Florence J., Thompson, Wesley K., Tapert, Susan F., Paulus, Martin P.“…Sociodemographic covariates included age, sex, race/ethnicity, education, marital status, and household income. …”
Publicado 2020
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31849por Sun, Wei-Wei, Yan, Xiu-Mei, Shi, Qing, Zhang, Yuan-Jiao, Huang, Jun-Ting, Huang, Hui-Cong, Shi, Hong-Fei, Yan, Bao-Long“…METHODS: The isolation and structural characterization of Acan-RPS-30 were performed using rapid amplification of cDNA ends (RACE), genome walking and bioinformatics. Quantitative real-time-PCR and microinjection were used to detect the expression patterns of Acan-rps-30. …”
Publicado 2020
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31850por Price, Christina C., Altice, Frederick L., Shyr, Yu, Koff, Alan, Pischel, Lauren, Goshua, George, Azar, Marwan M., Mcmanus, Dayna, Chen, Sheau-Chiann, Gleeson, Shana E., Britto, Clemente J., Azmy, Veronica, Kaman, Kelsey, Gaston, David C., Davis, Matthew, Burrello, Trisha, Harris, Zachary, Villanueva, Merceditas S., Aoun-Barakat, Lydia, Kang, Insoo, Seropian, Stuart, Chupp, Geoffrey, Bucala, Richard, Kaminski, Naftali, Lee, Alfred I., LoRusso, Patricia Mucci, Topal, Jeffrey E., Dela Cruz, Charles, Malinis, Maricar“…Post hoc survival analyses were conducted for race/ethnicity. RESULTS: Among the 239 patients, median age was 64 years; 36% and 19% were black and Hispanic, respectively. …”
Publicado 2020
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31851por Jiao, Dechuang, Zhang, Jingyang, Zhu, Jiujun, Guo, Xuhui, Yang, Yue, Xiao, Hui, Liu, Zhenzhen“…Cox model was constructed to determine the association between IBC and BCSS after adjusting for age, race, stage of disease, tumor grade and surgery type. …”
Publicado 2021
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31852por Gupta, Rajat Das, Akonde, Maxwell, Sajal, Ibrahim Hossain, Al Kibria, Gulam Muhammed“…The following covariates were included: age, gender, race/ethnicity, family income, education level, cholesterol level, high-density lipoprotein level, chronic kidney disease status, diabetes status, smoker, aerobic leisure-time physical activity, and survey period. …”
Publicado 2021
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31853por Gwadz, Marya, Cleland, Charles M., Freeman, Robert, Wilton, Leo, Collins, Linda M., L. Hawkins, Robert, Ritchie, Amanda S., Leonard, Noelle R., Jonas, Danielle F., Korman, Alexis, Cluesman, Sabrina, He, Ning, Sherpa, Dawa“…Factors associated with a shorter duration were African American/Black race, alcohol use at moderate-to-high-risk levels, and social support. …”
Publicado 2021
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31854por Jayanama, Kulapong, Theou, Olga, Godin, Judith, Cahill, Leah, Shivappa, Nitin, Hébert, James R., Wirth, Michael D., Park, Yong-Moon, Fung, Teresa T., Rockwood, Kenneth“…After adjusting for age, sex, race, educational level, marital and employment status, smoking, BMI, and study cohort, higher NI and E-DII scores and lower HEI-2015, MDS, and DASH scores were individually significantly associated with frailty. …”
Publicado 2021
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31855por Wu, Anna H., Franke, Adrian A., Wilkens, Lynne R., Tseng, Chiuchen, Conroy, Shannon M., Li, Yuqing, Polfus, Linda M., De Rouen, Mindy, Caberto, Christian, Haiman, Christopher, Stram, Daniel O., Le Marchand, Loïc, Cheng, Iona“…CONCLUSIONS: Further investigations of suggestive associations of elevated breast cancer risk with higher ratios of primary to secondary metabolites of DEHP, and differences in risk patterns by race/ethnicity and HR status are warranted.…”
Publicado 2021
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31856por Liu, Shuiqiao, Zhou, Mi, Ruan, Zhi, Wang, Yanan, Chang, Calvin, Sasaki, Masayuki, Rajaram, Veena, Lemoff, Andrew, Nambiar, Kalyani, Wang, Jennifer E., Hatanpaa, Kimmo J., Luo, Weibo, Dawson, Ted M., Dawson, Valina L., Wang, Yingfei“…METHODS: AIF splicing induction in brain was determined by multiple approaches including 5′ RACE, Sanger sequencing, splicing-specific PCR assay and bottom-up proteomic analysis. …”
Publicado 2021
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31857por Elser, Holly, Morello-Frosch, Rachel, Jacobson, Alice, Pressman, Alice, Kioumourtzoglou, Marianthi-Anna, Reimer, Richard, Casey, Joan A.“…Models controlled for age, sex, race/ethnicity, Medicaid use, primary care visits, and block group-level population density and poverty. …”
Publicado 2021
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31858por Rodriguez, Giovanna, Cabesaz, Fausto, Li, Jefferson, Kirupakaran, Johnathan, Kim, Eunice, Caputo, Michael, Idowu, Abidemi, Dave, Paulomi, Kitson, Deane, Tapia, Nilson, Korson, Michelle, Ciccone, Lyam, Maslach, Pierce, Nunez, Dennies, Okaikoi, Michael, Rodriguez, Bianca, Valentin, Dhiviyan, Yau, Alice, Zheng, Beishi, Aye, Thida, Jimenez, Mabel, Elayaperumal, Pramma, Afzal, Arslan, Daruwala, Orpah, Williams, Belinda, Inoue, Taiga, Asif, Haris, Singh, Gurbaj, Kubaar, Alaa, Iwuala, Sandra, Verassamy, Eric, Martinez, Jose Escudero, Filias, Felix, Zeyneloglu, Nejat, Bahtiyar, Gul“…After adjustment for age, gender, race, BMI and creatinine obese patients, compared with normal-weight patients had significantly higher mortality rate (BMI > 30 kg/m(2) [OR: 2.29, CI: 95%, P-value: <0.002]) however this association was not observed for DM2 ([OR: 1.25, CI: 95%, P-value: <0.002]). …”
Publicado 2021
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31859por Niles, Meredith T., Wirkkala, Kristen Brassard, Belarmino, Emily H., Bertmann, Farryl“…RESULTS: We find 29% of respondent households classified as food insecure since COVID-19, and higher prevalence of food insecurity among those experiencing a negative job change since COVID-19, households earning less than $50,000 annually, Hispanic and multi-race respondents. Nearly 35% of respondents engaged in HFP activities since the COVID-19 pandemic began; the majority of those gardened, and more than half pursued HFP activities more intensely than before the pandemic or for the first time. …”
Publicado 2021
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31860“…Multiple logistic regression and linear analysis were used to evaluate mortality, disposition, length of stay, and hospital charges; the analyses were adjusted for multiple variables including age, sex, and race. RESULTS: 30,420,907 adults were hospitalized, of whom 37,200 had SVI/B. …”
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