多种族 2 型糖尿病成人血糖变化的个人和社会环境因素:使用生态学瞬间评估、连续血糖监测和行动仪的研究方案。

IF 2.1 4区 医学 Q2 NURSING
Research in Nursing & Health Pub Date : 2024-12-01 Epub Date: 2024-09-07 DOI:10.1002/nur.22420
Soohyun Nam, Sangchoon Jeon, Garrett I Ash, Stuart Weinzimer, Genevieve F Dunton, Niyati Parekh, Margaret Grey, Kai Chen, Minjung Lee, Anna Sajdlowska, Robin Whittemore
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引用次数: 0

摘要

血糖变异性(GV)--一定时间内血糖水平的波动程度--正逐渐成为动态血糖控制的一个重要参数。据报道,反复的血糖振荡与糖尿病并发症有关。这项前瞻性观察研究旨在:(1) 确定与高血糖振荡相关的多层次风险因素(个人和社会环境因素);(2) 利用人内数据确定高血糖振荡的 "人内预测因素",为未来的个性化糖尿病干预措施提供信息;(3) 在患有 2 型糖尿病(T2D)的不同成年人中,研究哪些生活方式因素可以调节或缓和情绪健康与高血糖振荡之间的关系。我们将在社区招募 200 名成人 2 型糖尿病患者。所有参与者都将完成基线调查,评估人口统计学、生活方式、社会环境和临床因素。将使用连续血糖监测仪(CGM)测量实时动态血糖水平。睡眠、体力活动、饮食和情绪健康状况将通过行动记录仪和实时自我报告工具(生态瞬间评估 [EMA])进行测量,为期 14 天。将通过在线视频通话收集两个 24 小时的饮食回忆数据。为实现研究目的,将建立广义线性模型、多层次模型和结构方程模型。研究结果将确定哪些高 GV 高危人群可从 CGM 中获益,从而改善糖尿病预后,并为今后开发针对生活方式行为的个性化及时干预措施提供依据,同时增加对 GV 的了解,并为医疗保健提供者的临床决策提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personal and Social-Built Environmental Factors of Glucose Variability Among Multiethnic Groups of Adults With Type 2 Diabetes: Research Protocol Using Ecological Momentary Assessment, Continuous Glucose Monitoring, and Actigraphy.

Glucose variability (GV)-the degree of fluctuation in glucose levels over a certain period of time-is emerging as an important parameter of dynamic glycemic control. Repeated glycemic oscillations have been reported to be the link to diabetes complications. This prospective observational study aims to: (1) identify multilevel risk factors (personal and social-built environmental factors) associated with high GV; (2) identify "within-person predictors" of high GV leveraging the intra-person data to inform future personalized diabetes interventions; and (3) examine which lifestyle factors either mediate or moderate the relationship between emotional well-being and GV among diverse adults with type 2 diabetes (T2D). We will recruit 200 adults with T2D from the community. All participants will complete baseline surveys assessing demographics, lifestyle, social-built environmental, and clinical factors. Real-time dynamic glucose levels will be measured using continuous glucose monitoring (CGM). Sleep, physical activity, diet/eating, and emotional well-being will be measured with an actigraphy device and a real-time self-report tool (ecological momentary assessment [EMA]) across 14 days. Two 24-h dietary recall data will be collected by online video calls. Generalized linear models, multilevel models, and structural equation models will be developed to achieve the study aims. The findings from the study will identify high-risk groups of high GV who would benefit from CGM to improve diabetes outcomes and inform the future development of personalized just-in-time interventions targeting lifestyle behaviors with an increased understanding of GV and by supporting healthcare providers' clinical decisions.

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来源期刊
CiteScore
3.90
自引率
0.00%
发文量
73
审稿时长
6-12 weeks
期刊介绍: Research in Nursing & Health ( RINAH ) is a peer-reviewed general research journal devoted to publication of a wide range of research that will inform the practice of nursing and other health disciplines. The editors invite reports of research describing problems and testing interventions related to health phenomena, health care and self-care, clinical organization and administration; and the testing of research findings in practice. Research protocols are considered if funded in a peer-reviewed process by an agency external to the authors’ home institution and if the work is in progress. Papers on research methods and techniques are appropriate if they go beyond what is already generally available in the literature and include description of successful use of the method. Theory papers are accepted if each proposition is supported by research evidence. Systematic reviews of the literature are reviewed if PRISMA guidelines are followed. Letters to the editor commenting on published articles are welcome.
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