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探究性分析评估 1 型糖尿病青少年治疗依从性和血糖控制的不同方法之间的关系。

Exploratory analysis of the relationships among different methods of assessing adherence and glycemic control in youth with type 1 diabetes mellitus.

机构信息

Child and Adolescent Psychiatry and Behavioral Medicine, Children's Hospital of Wisconsin, Milwaukee, WI 53201-1997, USA.

出版信息

Health Psychol. 2012 Jan;31(1):35-42. doi: 10.1037/a0024704. Epub 2011 Jul 18.

Abstract

OBJECTIVES

The present study examined four methods of assessing diabetes adherence (self-report, diary measure, electronic monitoring, and provider rating) within a population of youth with Type I Diabetes Mellitus (T1DM).

METHODS

Comparisons were conducted among the four methods of assessing diabetes adherence. Associations among the seven different measures of blood glucose monitoring (BGM) and HbA1c were examined. An exploratory stepwise regression analysis was conducted to determine the best predictors of glycemic control (i.e., Hemoglobin A1c; HbA1c) while controlling for relevant demographic variables.

RESULTS

The adherence measures appeared to be interrelated. The relationships between many of the BGM measures and HbA1c demonstrated a medium effect size. The Self Care Inventory (SCI) adjusted global score was the strongest predictor of HbA1c, even after taking the demographic variables into account.

CONCLUSIONS

The SCI is a robust, easy-to-use, and cost-efficient measure of adherence that has a strong relationship to HbA1c. Demographic variables are important to examine within the context of different methods of assessing adherence. The research methodology utilized to assess both general diabetes adherence and more specific behavioral measurements of BGM should be clearly documented in future studies to ensure accurate interpretation of results.

摘要

目的

本研究在患有 1 型糖尿病(T1DM)的青年人群中,考察了四种评估糖尿病治疗依从性(自我报告、日记测量、电子监测和提供者评估)的方法。

方法

比较了评估糖尿病治疗依从性的四种方法。考察了七种不同血糖监测(BGM)和糖化血红蛋白(HbA1c)测量方法之间的相关性。进行了探索性逐步回归分析,以确定在控制相关人口统计学变量的情况下,血糖控制(即血红蛋白 A1c;HbA1c)的最佳预测因子。

结果

依从性测量方法似乎相互关联。许多 BGM 测量方法与 HbA1c 之间的关系显示出中等效应大小。自我护理量表(SCI)调整后的全球评分是 HbA1c 的最强预测因子,即使考虑到人口统计学变量也是如此。

结论

SCI 是一种强大、易用且具有成本效益的依从性测量方法,与 HbA1c 具有很强的相关性。在评估不同依从性评估方法时,人口统计学变量很重要。在未来的研究中,应明确记录用于评估一般糖尿病依从性和更具体的 BGM 行为测量的研究方法,以确保对结果的准确解释。

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