Identification of self-management patterns in pediatric type 1 diabetes using cluster analysis

Jennifer M. Rohan, Alan Delamater, Jennifer Shroff Pendley, Lawrence Dolan, Grafton Reeves, Dennis Drotar

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Objectives: 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. Conclusion: 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.

Original languageEnglish (US)
Pages (from-to)611-618
Number of pages8
JournalPediatric Diabetes
Volume12
Issue number7
DOIs
StatePublished - Nov 2011

Keywords

  • Adherence
  • Cluster analysis
  • Pediatrics
  • Self-management
  • Type 1 diabetes

ASJC Scopus subject areas

  • Internal Medicine
  • Pediatrics, Perinatology, and Child Health
  • Endocrinology, Diabetes and Metabolism

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