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Sharon Saydah
Centers for Disease Control and Prevention
117Publications
37H-index
8,765Citations
Publications 120
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#1Rachel M. Burke (CDC: Centers for Disease Control and Prevention)H-Index: 3
#2Jacqueline E. Tate (CDC: Centers for Disease Control and Prevention)H-Index: 45
Last.Umesh D. Parashar (CDC: Centers for Disease Control and Prevention)H-Index: 83
view all 7 authors...
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#1Yiling J. Cheng (CDC: Centers for Disease Control and Prevention)H-Index: 39
#2Alka M. Kanaya (UCSF: University of California, San Francisco)H-Index: 53
Last.G Imperatore (CDC: Centers for Disease Control and Prevention)H-Index: 9
view all 8 authors...
Importance The prevalence of diabetes among Hispanic and Asian American subpopulations in the United States is unknown. Objective To estimate racial/ethnic differences in the prevalence of diabetes among US adults 20 years or older by major race/ethnicity groups and selected Hispanic and non-Hispanic Asian subpopulations. Design, Setting, and Participants National Health and Nutrition Examination Surveys, 2011-2016, cross-sectional samples representing the noninstitutionalized, civilian, US popu...
1 CitationsSource
#1Sharon Saydah (CDC: Centers for Disease Control and Prevention)H-Index: 37
#2Sundar S. Shrestha (CDC: Centers for Disease Control and Prevention)H-Index: 11
Last.Giuseppina Imperatore (CDC: Centers for Disease Control and Prevention)H-Index: 54
view all 5 authors...
OBJECTIVE While diabetic ketoacidosis (DKA) is common in youth at the onset of the diabetes, the excess costs associated with DKA are unknown. We aimed to quantify the health care services use and medical care costs related to the presence of DKA at diagnosis of diabetes. RESEARCH DESIGN AND METHODS We analyzed data from the U.S. MarketScan claims database for 4,988 enrollees aged 3–19 years insured in private fee-for-service plans and newly diagnosed with diabetes during 2010–2016. Youth with a...
1 CitationsSource
#1Jeffrey Powell (Indian Health Service)H-Index: 2
#2Scott IsomH-Index: 24
Last.Dana DabeleaH-Index: 67
view all 13 authors...
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#1Lina Merjaneh (UW: University of Washington)H-Index: 1
#2Catherine Pihoker (UW: University of Washington)H-Index: 39
Last.Davene R. Wright (UW: University of Washington)H-Index: 13
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The significant increase in the complexity of diabetes care over the last two decades is associated with a high economic burden (1), with almost one-quarter of adults with diabetes burdened with significant out of pocket expenses (OOPEs) (2). Little is known about the OOPEs for families of adolescents and young adults with type 1 diabetes. We therefore report the diabetes-related OOPEs for these families from the SEARCH for Diabetes in Youth (SEARCH) study and their association with demographic,...
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#1Henry S. Kahn (CDC: Centers for Disease Control and Prevention)H-Index: 41
#2Jasmin Divers (Wake Forest University)H-Index: 36
Last.Sharon Saydah (CDC: Centers for Disease Control and Prevention)H-Index: 37
view all 8 authors...
The waist-to-height ratio (WHtR) estimates cardiometabolic risk in youth without need for growth charts by sex and age. Questions remain about whether waist circumference measured per protocol of the National Health and Nutrition Examination Survey (WNHAHtR) or World Health Organization (WWHOHtR) can better predict blood pressures and lipid parameters in youth. WHtR was measured under both anthropometric protocols among participants in the SEARCH Study, who were recently diagnosed with diabetes ...
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#1Sharon Saydah (CDC: Centers for Disease Control and Prevention)H-Index: 37
#2Karen R. Siegel (CDC: Centers for Disease Control and Prevention)H-Index: 15
Last.Edward W. Gregg (CDC: Centers for Disease Control and Prevention)H-Index: 81
view all 5 authors...
OBJECTIVE We examined young adults with and young adults without diabetes by using demographic data and cardiometabolic risk profiles and compared the risk profiles of younger versus older (aged ≥45 years) adults with diabetes. RESEARCH DESIGN AND METHODS Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2007–2016. Diabetes was defined by self-report of health care provider diagnosis or by A1C levels of 6.5% or higher among those without a self-reported diagno...
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#1Thaddäus Tönnies (HHU: University of Düsseldorf)H-Index: 3
#2Giuseppina Imperatore (CDC: Centers for Disease Control and Prevention)H-Index: 54
Last.Ralph Brinks (HHU: University of Düsseldorf)H-Index: 14
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Abstract Background Most surveillance efforts in childhood diabetes have focused on incidence, while prevalence is rarely reported. The aim of this study was to assess whether a mathematical illness-death model accurately estimated future prevalence from baseline prevalence and incidence rates in children. Methods SEARCH for Diabetes in Youth is an on-going population-based surveillance study of prevalence and incidence of diabetes and its complications among youth in the U.S. We used age-, sex-...
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#1Tanushree Banerjee (UCSF: University of California, San Francisco)H-Index: 16
#2Deidra C. Crews (Johns Hopkins University)H-Index: 28
Last.Neil R. Powe (UCSF: University of California, San Francisco)H-Index: 100
view all 11 authors...
Acid retention associated with reduced glomerular filtration rate (GFR) exacerbates nephropathy progression in partial nephrectomy models of chronic kidney disease (CKD) and might be reflected in p...
2 CitationsSource
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