title: Identification of self-management patterns in pediatric type 1 diabetes using cluster analysis.
abstract: OBJECTIVE
  This study identified three distinct patterns of self-management groups for a sample of 239 youth (9-11 years) with type 1 diabetes and their maternal and paternal caregivers, and assessed their relationship to glycemic control (HbA1c).
  
  
  METHODS
  Youth and their maternal and paternal caregivers were administered the diabetes self-management profile (DSMP) to assess self-management. Glycemic control was based on hemoglobin A1c.
  
  
  RESULTS
  Two-step cluster analysis identified three different self-management groups based on youth, maternal, and paternal reports. Analysis of variance indicated that the pattern of less optimal diabetes self-management was associated with worse glycemic control.
  
  
  CONCLUSIONS
  Our results objectively describe differences in patterns of self-management in youth with type 1 diabetes, that relate to glycemic control. Interventions based on these specific patterns of self-management may improve diabetes management and enhance glycemic control in children and adolescents with type 1 diabetes.
authors: Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA. Jennifer.Rohan@cchmc.org
authors: Jennifer M
authors: JM
authors: Rohan
authors: Alan
authors: A
authors: Delamater
authors: Jennifer Shroff
authors: JS
authors: Pendley
authors: Lawrence
authors: L
authors: Dolan
authors: Grafton
authors: G
authors: Reeves
authors: Dennis
authors: D
authors: Drotar
mesh_terms: D002648:Child; D016000:Cluster Analysis; D003922:Diabetes Mellitus, Type 1 / Q000097:blood / Q000628:therapy*; D005260:Female; D006442:Glycated Hemoglobin / Q000378:metabolism*; D006801:Humans; D008297:Male; D012648:Self Care / Q000706:statistics & numerical data*
chemical_list: D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human