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

Pediatr Diabetes. 2011 Nov;12(7):611-8. doi: 10.1111/j.1399-5448.2010.00752.x. Epub 2011 Mar 29.

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Child
  • Cluster Analysis
  • Diabetes Mellitus, Type 1 / blood
  • Diabetes Mellitus, Type 1 / therapy*
  • Female
  • Glycated Hemoglobin A / metabolism*
  • Humans
  • Male
  • Self Care / statistics & numerical data*

Substances

  • Glycated Hemoglobin A
  • hemoglobin A1c protein, human