使用聚类分析识别儿科 1 型糖尿病的自我管理模式。
Identification of self-management patterns in pediatric type 1 diabetes using cluster analysis.
机构信息
Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
出版信息
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.
摘要
目的
本研究通过对 239 名（9-11 岁）1 型糖尿病患儿及其父母的样本进行分析，识别出三种不同的自我管理模式，并评估其与血糖控制（HbA1c）的关系。
方法
对患儿及其父母进行糖尿病自我管理量表（DSMP）评估自我管理。血糖控制基于血红蛋白 A1c。
结果
基于两步聚类分析，根据患儿、母亲和父亲的报告，确定了三种不同的自我管理模式。方差分析表明，糖尿病自我管理较差的模式与血糖控制较差相关。
结论
我们的结果客观地描述了 1 型糖尿病患儿自我管理模式的差异，这些差异与血糖控制有关。基于这些特定自我管理模式的干预措施可能会改善儿童和青少年 1 型糖尿病的管理，增强血糖控制。
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