Debra A. Standiford

ORCID: 0000-0002-3148-7478
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About
Contact & Profiles
Research Areas
  • Diabetes Management and Research
  • Diabetes and associated disorders
  • Diabetes Treatment and Management
  • Pancreatic function and diabetes
  • Childhood Cancer Survivors' Quality of Life
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Diabetes Management and Education
  • Diet, Metabolism, and Disease
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Adolescent and Pediatric Healthcare
  • Obesity, Physical Activity, Diet
  • Nutritional Studies and Diet
  • Cardiovascular Function and Risk Factors
  • Artificial Intelligence in Healthcare
  • Environmental Justice and Health Disparities
  • Health and Lifestyle Studies
  • Urban Transport and Accessibility
  • Pain Mechanisms and Treatments
  • Heart Rate Variability and Autonomic Control
  • Diet and metabolism studies
  • Blood Pressure and Hypertension Studies
  • Data-Driven Disease Surveillance
  • Cardiovascular and exercise physiology
  • Liver Disease Diagnosis and Treatment
  • Consumer Attitudes and Food Labeling

Cincinnati Children's Hospital Medical Center
2011-2021

Hyattsville Community Development Corporation
2019-2020

University of Cincinnati
2012-2018

Wake Forest University
2008-2013

University of Colorado Denver
2008-2013

University of North Carolina at Chapel Hill
2008-2013

RELX Group (Netherlands)
2012

Health and Human Development (2HD) Research Network
2012

Kaiser Permanente
2008-2011

Fulda University of Applied Sciences
2011

OBJECTIVE To forecast the number of U.S. individuals aged <20 years with type 1 diabetes mellitus (T1DM) or 2 (T2DM) through 2050, accounting for changing demography and incidence. RESEARCH DESIGN AND METHODS We used Markov modeling framework to generate yearly forecasts in each three states (diabetes, no diabetes, death). 2001 prevalence 2002 incidence T1DM T2DM from SEARCH Diabetes Youth study Census Bureau population demographic projections. Two scenarios were considered incidence:...

10.2337/dc12-0669 article EN cc-by-nc-nd Diabetes Care 2012-11-14

To estimate temporal changes in the prevalence of diabetic ketoacidosis (DKA) at diagnosis type 1 or 2 diabetes youth and to explore factors associated with its occurrence.Five centers identified incident cases among aged 0 19 years starting 2002. DKA presence was defined as a bicarbonate level <15 mmol/L and/or pH <7.25 (venous) <7.30 (arterial capillary) mention medical records. We assessed trends over 3 time periods (2002-2003, 2004-2005, 2008-2010). Logistic regression used determine...

10.1542/peds.2013-2795 article EN PEDIATRICS 2014-04-01

The objective of this study was to determine if depressed mood among youth with diabetes associated type and duration diabetes, mean glycosylated hemoglobin (HbA1c) level, the frequency diabetic ketoacidosis (DKA) hypoglycemic episodes, hospitalizations, emergency department (ED) visits.A total 2672 (aged 10-21 years) who had for a 5 years completed SEARCH visit, in which their HbA1c measured information about demographic characteristics, duration, episodes DKA, hypoglycemia, ED visits over...

10.1542/peds.2005-1398 article EN PEDIATRICS 2006-04-01

Among youth with diabetes mellitus, elevated blood pressure represents one of the most common comorbidities. Hence, exploring dietary factors that may help prevent or control hypertension in this population is paramount importance. We investigated whether adherence to Dietary Approaches Stop Hypertension (DASH) diet associated mellitus from SEARCH for Diabetes Youth Study. Between 2001 and 2005, 2830 aged 10 22 years (2440 type 1 390 2 mellitus) completed a study visit. For each 8 DASH food...

10.1161/hypertensionaha.108.116665 article EN Hypertension 2008-11-25

The SEARCH for Diabetes in Youth Study prospectively identified youth aged &amp;lt;20 years with physician-diagnosed diabetes. Annual type 1 diabetes (T1D) incidence per 100,000 person-years (95% CI) overall, by age-group, and sex were calculated at-risk non-Hispanic white (NHW) from 2002 through 2009. Joinpoint Poisson regression models used to test temporal trends. age- sex-adjusted of T1D increased 24.4/100,000 CI 23.9–24.8) 27.4/100,000 (26.9–27.9) 2009 (P trend = 0.0008). relative...

10.2337/db13-1891 article EN Diabetes 2014-06-05

We have shown that adherence to the Dietary Approaches Stop Hypertension (DASH) diet is related blood pressure in youth with type 1 and 2 diabetes mellitus. explored impact of DASH on other cardiovascular disease risk factors.Between 2001 2005, data total cholesterol, low-density lipoprotein high-density triglycerides, particle density, apolipoprotein B, body mass index, waist circumference, adipocytokines were ascertained 2130 aged 10 22 years physician-diagnosed intake was assessed by food...

10.1161/circulationaha.110.955922 article EN Circulation 2011-03-22

OBJECTIVE To estimate the prevalence of and risk factors for diabetic peripheral neuropathy (DPN) in a pilot study among youth participating SEARCH Diabetes Youth study. RESEARCH DESIGN AND METHODS DPN was assessed using Michigan Neuropathy Screening Instrument (MNSI) (examination foot abnormalities, distal vibration perception, ankle reflexes). An MNSI exam (MNSIE) score &amp;gt;2 is diagnostic DPN. RESULTS The MNSIE completed 399 subjects, including 329 with type 1 diabetes (mean age 15.7...

10.2337/dc13-1213 article EN cc-by-nc-nd Diabetes Care 2013-10-22

<h3>Objective</h3> To identify physical, behavioral, and environmental features of adolescents (aged 11-17 years) with type 2 diabetes mellitus their families to define the involvement known risk factors a profile at-risk individuals. <h3>Design Methods</h3> A total 42 subjects from 11 an adolescent in whom was previously diagnosed participated. All underwent anthropometric measurement completed food frequency eating disorder questionnaires, were classified according the<i>Diagnostic...

10.1001/archpedi.153.10.1063 article EN Archives of Pediatrics and Adolescent Medicine 1999-10-01

Background Neonatal diabetes mellitus (NDM) is defined as with onset before 6 months of age. Nearly half individuals NDM are affected by permanent neonatal (PNDM). Mutations in KATP channel genes (KCNJ11, ABCC8) and the insulin gene (INS) most common causes PNDM. Objective To estimate prevalence PNDM among SEARCH for Diabetes Youth (SEARCH) study participants (2001–2008) to identify genetic mutations causing Methods a multicenter population-based youth <20 yr Participants diagnosed age were...

10.1111/pedi.12003 article EN Pediatric Diabetes 2012-10-01

10.1016/s2352-4642(18)30309-2 article EN The Lancet Child & Adolescent Health 2018-11-06

To describe demographic and clinical characteristics associated with self-reported receipt of tests measurements recommended by the American Diabetes Association (ADA) for children youths diabetes.

10.1542/peds.2010-3641 article EN PEDIATRICS 2011-08-23

OBJECTIVE: To estimate the prevalence of asthma among youth with types 1 and 2 diabetes examine associations between glycemic control. METHODS: This was a cross-sectional analysis data from SEARCH for Diabetes in Youth study, which included diagnosed type (n = 1683) 311) 2002 through 2005. Asthma status medications were ascertained medical records self-administered questionnaires, control assessed hemoglobin A1c measured at study visit. RESULTS: Prevalence all 10.9% (95% confidence interval...

10.1542/peds.2010-3636 article EN PEDIATRICS 2011-09-27

Abstract Background There is increasing interest in the study of place effects on health, facilitated part by geographic information systems. Incomplete or missing address reduces geocoding success. Several imputation methods have been suggested to overcome this limitation. Accuracy evaluation these can be focused at level individuals and higher group-levels (e.g., spatial distribution). Methods We evaluated accuracy eight geo-imputation for allocation from ZIP codes census tracts individual...

10.1186/1476-072x-8-54 article EN cc-by International Journal of Health Geographics 2009-10-08
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