title: Glycemic control in youth with diabetes: the SEARCH for diabetes in Youth Study.
abstract: OBJECTIVE
  To assess correlates of glycemic control in a diverse population of children and youth with diabetes.
  
  
  METHODS
  This was a cross-sectional analysis of data from a 6-center US study of diabetes in youth, including 3947 individuals with type 1 diabetes (T1D) and 552 with type 2 diabetes (T2D), using hemoglobin A(1c) (HbA(1c)) levels to assess glycemic control.
  
  
  RESULTS
  HbA(1c) levels reflecting poor glycemic control (HbA(1c) >or= 9.5%) were found in 17% of youth with T1D and in 27% of those with T2D. African-American, American Indian, Hispanic, and Asian/Pacific Islander youth with T1D were significantly more likely to have higher HbA(1c) levels compared with non-Hispanic white youth (with respective rates for poor glycemic control of 36%, 52%, 27%, and 26% vs 12%). Similarly poor control in these 4 racial/ethnic groups was found in youth with T2D. Longer duration of diabetes was significantly associated with poorer glycemic control in youth with T1D and T2D.
  
  
  CONCLUSIONS
  The high percentage of US youth with HbA(1c) levels above the target value and with poor glycemic control indicates an urgent need for effective treatment strategies to improve metabolic status in youth with diabetes.
authors: Biomedical Informatics, Arizona State University, Phoenix, AZ, USA.
authors: Diana B
authors: DB
authors: Petitti
authors: Georgeanna J
authors: GJ
authors: Klingensmith
authors: Ronny A
authors: RA
authors: Bell
authors: Jeanette S
authors: JS
authors: Andrews
authors: Dana
authors: D
authors: Dabelea
authors: Giuseppina
authors: G
authors: Imperatore
authors: Santica
authors: S
authors: Marcovina
authors: Catherine
authors: C
authors: Pihoker
authors: Debra
authors: D
authors: Standiford
authors: Beth
authors: B
authors: Waitzfelder
authors: Elizabeth
authors: E
authors: Mayer-Davis
mesh_terms: D000293:Adolescent; D000704:Analysis of Variance; D001786:Blood Glucose / Q000032:analysis / Q000187:drug effects / Q000378:metabolism*; D015992:Body Mass Index; D002648:Child; D003430:Cross-Sectional Studies; D048909:Diabetes Complications / Q000517:prevention & control; D003922:Diabetes Mellitus, Type 1 / Q000097:blood* / Q000175:diagnosis / Q000188:drug therapy* / Q000208:ethnology; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000175:diagnosis / Q000188:drug therapy* / Q000208:ethnology; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D005500:Follow-Up Studies; D006442:Glycated Hemoglobin / Q000032:analysis*; D006801:Humans; D007004:Hypoglycemic Agents / Q000627:therapeutic use; D015994:Incidence; D016014:Linear Models; D008297:Male; D015999:Multivariate Analysis; D011336:Probability; D012042:Registries; D018570:Risk Assessment; D012720:Severity of Illness Index; D014481:United States; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin; D007004:Hypoglycemic Agents