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31981por Robinson, Lara R., Holbrook, Joseph R., Bitsko, Rebecca H., Hartwig, Sophie A., Kaminski, Jennifer W., Ghandour, Reem M., Peacock, Georgina, Heggs, Akilah, Boyle, Coleen A.“…Only in urban areas did a higher percentage of children with MBDDs lack health insurance than children without MBDDs. After adjusting for race/ethnicity and poverty among children with MBDDs, those in rural areas more often had a parent with poor mental health and lived in resource-low neighborhoods than those in urban areas. …”
Publicado 2017
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31982“…Even though these mortality differences were partially explained by state-level differences in maternal education, race, and maternal health, substantial state-level variation in infant mortality remained in fully adjusted models (SIDS OR 1.45, suffocation OR 2.92). …”
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31983por Golabi, Pegah, Stepanova, Maria, Pham, Huong T, Cable, Rebecca, Rafiq, Nila, Bush, Haley, Gogoll, Trevor, Younossi, Zobair M“…In multivariate survival analysis, predictors of overall mortality included significant SF (adjusted HR (aHR): 1.37; 95% CI 1.07 to 1.76, p=0.01), older age (aHR:1.08; 95% CI 1.07 to 1.09 per year), male gender (aHR:1.44; 95% CI 1.24 to 1.67), black race (aHR:1.24; 95% CI 1.04 to 1.48)), history of hypertension (aHR:1.40; 95% CI 1.20 to 1.64), diabetes (aHR:1.69; 95% CI 1.43 to 2.00), CHF (aHR:1.77; 95% CI 1.38 to 2.261), stroke (aHR:1.84; 95% CI 1.38 to 2.48) and smoking (aHR:1.74; 95% CI 1.47 to 2.07) (all p<0.02). …”
Publicado 2018
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31984por Fukuoka, Yoshimi, Lindgren, Teri G, Mintz, Yonatan Dov, Hooper, Julie, Aswani, Anil“…The Illness Prevention group had a larger number of Caucasians as compared to the Weight Loss group (P=.001), which was composed mostly of those who identified as African American, Hispanic, or mixed race. Additionally, the Health Promotion group tended to have lower BMI scores compared to the Illness Prevention group (overall P=.02). …”
Publicado 2018
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31985por Catov, Janet M., Parker, Corette B., Gibbs, Bethany Barone, Bann, Carla M., Carper, Benjamin, Silver, Robert M., Simhan, Hyagriv N., Parry, Samuel, Chung, Judith H., Haas, David M., Wapner, Ronald J., Saade, George R., Mercer, Brian M., Bairey-Merz, C. Noel, Greenland, Philip, Ehrenthal, Deborah B., Barnes, Shannon E., Shanks, Anthony L., Reddy, Uma M., Grobman, William A.“…After adjusting for maternal factors (age, race/ethnicity, BMI and smoking), the risk of GDM (Odds ratio 2.00 [95% CI 1.47, 2.73]) remained higher in women with low compared to high patterns. …”
Publicado 2018
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31986“…OBJECTIVE: To describe liver disease related mortality in the United States during 1999-2016 by age group, sex, race, cause of liver disease, and geographic region. …”
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31987por Tsampalieros, Anne, Knoll, Greg A., Dixon, Stephanie, English, Shane, Manuel, Douglas, Van Walraven, Carl, Taljaard, Monica, Fergusson, Dean“…RESULTS: We noted significant differences across transplant centers in patient race, cause of end-stage renal disease, body mass index, comorbidities, time on dialysis, and donor type. …”
Publicado 2018
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31988por Bauermeister, José A, Golinkoff, Jesse M, Horvath, Keith J, Hightow-Weidman, Lisa B, Sullivan, Patrick S, Stephenson, Rob“…Participants randomized to the intervention condition will be granted access to a Web app with content tailored to their specific demographic characteristics (eg, age, race or ethnicity, location, and relationship status), HIV and STI risk behaviors (eg, HIV and STI testing history, substance use, communication with partners regarding status) and sociocultural context (eg, homelessness, incarceration). …”
Publicado 2018
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31989por Murugan, Raghavan, Balakumar, Vikram, Kerti, Samantha J., Priyanka, Priyanka, Chang, Chung-Chou H., Clermont, Gilles, Bellomo, Rinaldo, Palevsky, Paul M., Kellum, John A.“…We adjusted for age, sex, body mass index, race, surgery, baseline estimated glomerular filtration rate, oliguria, first RRT modality, pre-RRT fluid balance, duration of RRT, time to RRT initiation from ICU admission, APACHE III score, mechanical ventilation use, suspected sepsis, mean arterial pressure on day 1 of RRT, cumulative fluid balance during RRT and cumulative vasopressor dose during RRT. …”
Publicado 2018
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31990por Ekenberg, Christina, Tang, Man-Hung Eric, Murray, Daniel D, MacPherson, Cameron, Sherman, Brad T, Losso, Marcelo, Wood, Robin, Paredes, Roger, Molina, Jean-Michel, Helleberg, Marie, Jina, Nureen, Kityo, Cissy M, Florence, Eric, Polizzotto, Mark N, Neaton, James D, Lane, H Clifford, Lundgren, Jens D“…Current findings suggest that the effects of these SNPs are consistent across race groups, but further studies are required to confirm this. …”
Publicado 2018
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31991“…Adjusted (for pregnancy, gender, race and ethnicity) the general adult population is at increased odds of having an RNA positive test (OR = 4.4, 95% CI 3.7–5.0, P < 0.001) and an AB positive (OR = 2.9, 95% CI 2.2–3.9, P < 0.001), when compared with baby boomers CONCLUSION: Efforts should be targeted to increase screening in younger cohorts as HCV is more prevalent in that group age. …”
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31992por Spinner, Christoph D, Rashbaum, Bruce, Mcdonald, Cheryl, Mussini, Cristina, Luo, Donghan, Jezorwski, John, Brown, Kimberley, Wong, Eric Y“…These results were consistent across age, gender, and race subgroups. Here we report Week 48 results in subgroups based on viral load (VL), CD4(+) count, and WHO clinical staging of HIV/AIDS at baseline. …”
Publicado 2018
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31993por Ali, Mohammed K., McKeever Bullard, Kai, Imperatore, Giuseppina, Benoit, Stephen R., Rolka, Deborah B., Albright, Ann L., Gregg, Edward W.“…Variation in risk-reducing activities by age, sex, race/ethnicity, educational attainment, insurance status, history of gestational diabetes mellitus, hypertension, or body mass index was also examined. …”
Publicado 2019
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31994por Jafar, Omar, Friedman, Jason, Bogdanowicz, Ian, Muneer, Aamir, Thompson, Paul D., Ling, Julie, Messina, Anthony, Yen, Michael, Wakefield, Dorothy, Varanasi, Pranav, Haleem, Kamran“…Group C comprised runners who had competed in more than 9 shorter races over 10 years. Coronary artery calcium (CAC) scores were assessed by computed tomography. …”
Publicado 2019
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31995“…Sociodemographic factors included age, gender, race/ethnicity, and education. Descriptive statistics and multivariable logistic regression were conducted. …”
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31996por Chen, Kristina, Gosmanova, Elvira, Curhan, Gary, Rejnmark, Lars, Mu, Fan, Swallow, Elyse, Sherry, Nicole, Macheca, Monica, Ketteler, Markus“…Adjusting parameters included demographic (age, sex, race, region, and index year) and clinical (heart failure, hypertension, diabetes, and medication use) characteristics at baseline. …”
Publicado 2019
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31997“…There was no significant correlation between income and the AJCC staging of the cancer at initial presentation (r=-0.003, p=0.895). Within each race, there was no significant correlation between income and the AJCC staging (Asian r=0.094, p=0.536; Black r=0.069, p=0.486; Hispanic r=0.035, p=0.694; and Caucasian r=-0.035, p=0.386). …”
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31998por Chen, Kristina, Curhan, Gary, Gosmanova, Elvira, Rejnmark, Lars, Ketteler, Markus, Mu, Fan, Swallow, Elyse, Signorovitch, James, Sherry, Nicole, Kaul, Sanjiv“…Adjusting parameters included demographic (age, sex, race, region, and index year) and clinical (other comorbid CV conditions, chronic kidney disease, hypertension, and diabetes) characteristics at baseline. …”
Publicado 2019
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31999por Lee, Grace, Zhao, Songzhu, Kline, David, Brock, Guy, Odei, James, Kesireddy, Veena, Sims, Mario, Effoe, Valery, Wu, Wen-Chih, Kalyani, Rita, Wand, Gary, Echouffo Tcheugui, Justin, Golden, Sherita, Joseph, Joshua“…Body fat distribution varies by race with African Americans (AAs) having more subcutaneous adipose tissue (SAT) than visceral adipose tissue (VAT) compared to whites adjusted for total body fat (3). …”
Publicado 2019
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32000por Fujimoto, Masanobu, Khoury, Jane, Khoury, Philip, Kalra, Bhanu, Kumar, Ajay, Sluss, Patrick, Oxvig, Claus, Hwa, Vivian, Dauber, Andrew“…Correlation and regression analyses were used to examine relationships among analytes and association between each analyte and age, sex, race, height, and BMI. Statistical analyses were performed using SAS®, version 9.4. …”
Publicado 2019
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