我们如何判断糖尿病护理和技术的进步是否有助于减轻人们的束缚感?介绍糖尿病约束量表。

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
William H Polonsky, Emily C Soriano, Lisa A Strycker, Lawrence Fisher
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引用次数: 0

摘要

背景:糖尿病护理和技术的最新进展,如实时连续血糖监测,可以帮助人们更自由、更灵活、更少约束地生活,从而提高生活质量(QOL)。到目前为止,还没有有效的方法来测量这一关键的心理维度。我们开发了糖尿病约束量表(DCS)来评估与糖尿病自我管理有关的感知约束。方法:采用定性访谈法(20例成人2型糖尿病[T2D], 8例成人1型糖尿病[T1D])编制6个项目。项目被纳入一项T2D成人研究(N = 458)和一项T1D成人研究(N = 574)。采用探索性因子分析对各研究进行量表信度分析。评估DCS与关键社会心理和血糖变量之间的关系。结果:在两项研究中,因子分析均显示单一因素,具有足够的内部信度(Cronbach's alpha >.80)。两项研究均显示DCS与总体幸福感、糖尿病特异性生活质量和糖尿病痛苦之间的预期方向有显著相关性(均P < 0.001)。在两项研究中,DCS与错过胰岛素剂量的次数和严重低血糖发作的频率呈正相关(T1D均P < 0.001;T2D组均P < 0.005), T1D组仅伴HbA1c (P < 0.001)。结论:DCS是一种可靠、有效的方法,可以确定成人糖尿病患者受疾病约束或限制的程度。它可以作为一种有用的工具来评估新的干预措施如何帮助个人在面对糖尿病的需求时感到更自由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Might We Tell if Advances in Diabetes Care and Technology are Helping People to Feel Less Constrained? Introducing the Diabetes Constraints Scale.

Background: Recent advances in diabetes care and technology, such as real-time continuous glucose monitoring, can help people live more freely, with more flexibility and fewer constraints, thereby enhancing quality of life (QOL). To date, there has been no validated means for measuring this key psychological dimension. We developed the Diabetes Constraints Scale (DCS) to assess perceived constraints pertaining to diabetes self-management.

Methods: Six items were developed from qualitative interviews (20 adults with type 2 diabetes [T2D], 8 adults with type 1 diabetes [T1D]). Items were included in one study with T2D adults (N = 458) and one with T1D adults (N = 574). Scale reliability was analyzed for each study using exploratory factor analyses. Associations between DCS and key psychosocial and glycemic variables were assessed.

Results: In both studies, factor analyses revealed a single factor, with adequate internal reliability (Cronbach's alpha >.80). Both studies demonstrated significant associations in the expected direction between DCS and overall well-being, diabetes-specific QOL, and diabetes distress (all P < .001). In both studies, DCS was positively linked with the number of missed insulin boluses and the frequency of severe hypoglycemic episodes (T1D both P < .001; T2D both P < .005) and-in the T1D group only-with HbA1c (P < .001).

Conclusions: The DCS is a reliable and valid method to determine the degree to which adults with diabetes feel constrained or limited by the disease. It may serve as a useful tool for assessing how new interventions can help individuals feel freer in the face of the demands of diabetes.

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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