一种新的儿科糖尿病知识测验——M-WIKAD的开发与因素分析。

Q2 Medicine European Endocrinology Pub Date : 2019-04-01 Epub Date: 2019-04-12 DOI:10.17925/EE.2019.15.1.1
Sarah Tsai, Susana Patton, Stephen DeLurgio, David D Williams, Kavitha Dileepan, Alexander Karmazin, Melinda Storm, Mark Clements
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引用次数: 3

摘要

目的:本研究的目的是根据当代管理标准,制定一种针对年轻人的1型糖尿病(T1DM)知识测量方法。方法:88项测试来自美国糖尿病教育者协会7项自我护理行为。结果:一个多学科团队选择了最好的49个项目,在119名年轻人(59名男性,年龄12-18岁,糖化血红蛋白(A1C)的平均值±标准差为9.9%±1.80(84.7±19.7 mmol/mol)的样本中进行了试点。使用最小绝对点双序列相关系数0.250,从最初的88个问题中选择49个项目。然后使用分类主成分分析来确定由19个项目组成的5个因素组成的最佳因素分析模型。这五个因素解释了57%的项目差异。因素与潜在变量相关:高级解决问题、低血糖预防和管理、服用胰岛素/药物、日常管理和健康积极生活。结论:基于专家意见和实证测试结构,将一项新的青少年T1D知识测试从88题细化为49题。然后,基于探索性因素分析,该工具被细化为19个项目。未来的目标是在另一个队列中验证这一因素模型,并根据年轻人的糖化血红蛋白和依从性行为确认同时有效性。我们新的T1DM知识测量作为一种新的临床和研究工具,最初看起来是有效和有前景的。
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A New Paediatric Diabetes Knowledge Test - M-WIKAD Development and Factor Analysis.

Purpose: The purpose of this study was to develop a measure of type 1 diabetes mellitus (T1DM) knowledge that is aimed at youth and is based on contemporary management standards. Methods: An 88-item test was derived from the American Association of Diabetes Educators 7 Self-Care Behaviors. Results: A multidisciplinary team selected the best 49 items which were piloted in a sample of 119 youths (59 males, aged 12-18, having a mean ± standard deviation glycated haemoglobin (A1C) of 9.9%±1.80 (84.7±19.7 mmol/mol). A minimum absolute point-biserial correlation coefficient of 0.250 was used to choose 49 items from the original 88 questions. Categorical principal component analysis was then used to identify the best factor analytical model that consisted of five factors composed of 19 items. These five factors explained 57% of item variances. Factors were associated with the latent variables: advanced problem-solving, hypoglycaemia prevention and management, taking insulin/medication administration, daily management and healthy active living. Conclusion: A new T1D knowledge test for youth was refined from 88 to 49 questions based on expert opinion and empirical test construction. The instrument was then refined to 19 items based on exploratory factor analysis. Future goals are to validate this factor model with another cohort and confirm concurrent validity based on youth's glycated haemoglobin and adherence behaviours. Our new T1DM knowledge measure initially appears valid and promising as a new clinical and research tool.

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European Endocrinology
European Endocrinology Medicine-Endocrinology, Diabetes and Metabolism
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