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

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

Jennifer M Rohan  1 , Alan Delamater, Jennifer Shroff Pendley, Lawrence Dolan, Grafton Reeves, Dennis Drotar
Affiliations

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

Jennifer M Rohan et al. Pediatr Diabetes. 2011 Nov.

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.

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Fig. 1.
Fig. 1.. (A)
(A) Low adaptive group (Cluster 1): all reporters. (B) Moderate adaptive group (Cluster 2): all reporters. (C) High adaptive group (Cluster 3): all reporters.
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