The Cross-sectional Relationship Between Use of Automatic Insulin Delivery Systems and Eating Styles Among Older Adults With Type 1 Diabetes: An Exploratory Analysis.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2024-11-10 DOI:10.1177/19322968241296842
Anna R Kahkoska, Jessica Sprinkles, Nikhita Gopisetty, Gabriella Ercolino, Angela Fruik, Rashmi Muthukkumar, Xiaorui Qu, Elizabeth J Mayer-Davis, Angelica Cristello Sarteau
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Abstract

Background: The number of older adults with type 1 diabetes (T1D) is increasing. Use of automated insulin delivery (AID) may influence nutrition and eating behaviors. We explored how three eating styles (restrained, external, emotional) differ between older adults with T1D who use and do not use AID.

Methods: We administered a one-time electronic survey from September to November 2023 to adults ≥65 years with T1D receiving care through a university-affiliated hospital system. Clinical and demographic information was collected from medical records. Eating styles were characterized with the Dutch Eating Behavior Questionnaire.

Results: Our sample (n = 77, 95% non-Hispanic white) had mean (SD) age: 71.8 (4.1) years, diabetes duration: 33 (18) years, hemoglobin A1c (HbA1c): 6.83 (1.12%), and body mass index (BMI): 27.3 (4.7) kg/m2. Respondents reported variable eating styles, with the highest median scores for external and restrained eating and lower scores for emotional eating. Older adults using AID systems had higher median scores for emotional and external eating, and more varied restrained eating scores compared to those not using AID systems. Weak correlations were found between eating styles and HbA1c (restrained: r = -0.14; external: r = 0.08; emotional: r = 0.15), as well as between restrained (r = 0.09) and external (r = 0.04) eating with BMI, with a small correlation between emotional eating and BMI (r = 0.27).

Conclusions: Eating styles may vary between older adult AID users and non-users. To our knowledge, this is the first study to characterize eating styles in this population, though generalizability is limited by a non-diverse and small sample with high technology use overall (eg, continuous glucose monitoring, insulin pumps).

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1 型糖尿病老年患者使用胰岛素自动给药系统与饮食方式之间的横断面关系:探索性分析
背景:患有 1 型糖尿病(T1D)的老年人数量正在增加。使用胰岛素自动给药(AID)可能会影响营养和饮食行为。我们探讨了三种饮食方式(克制、外在、情绪)在使用和不使用 AID 的 T1D 老年患者之间有何不同:我们在 2023 年 9 月至 11 月期间对通过大学附属医院系统接受治疗的≥65 岁 T1D 患者进行了一次性电子调查。我们从医疗记录中收集了临床和人口统计学信息。通过荷兰进食行为问卷调查了进食方式的特征:我们的样本(n = 77,95% 为非西班牙裔白人)的平均(标清)年龄为 71.8 (4.1)岁,糖尿病病程为 33 (18) 年,血红蛋白(HCG)为 0.1 (0.1):33 (18) 年,血红蛋白 A1c (HbA1c):6.83 (1.12%)血红蛋白 A1c (HbA1c):6.83 (1.12%),体重指数 (BMI):27.3 (4.7) kg/m2。受访者的饮食方式各不相同,外食和节制饮食的中位数得分最高,而情绪化饮食的得分较低。与不使用 AID 系统的老年人相比,使用 AID 系统的老年人在情绪化进食和外源性进食方面的中位数得分较高,而克制性进食的得分则更为多样。研究发现,进食方式与 HbA1c 之间的相关性较弱(克制型:r = -0.14;外向型:r = 0.08;情绪型:r = 0.15),克制型(r = 0.09)和外向型(r = 0.04)进食与体重指数之间的相关性也较弱,情绪型进食与体重指数之间的相关性较小(r = 0.27):结论:老年 AID 使用者和非使用者的进食方式可能有所不同。据我们所知,这是第一项描述该人群进食方式特征的研究,但由于样本不多样且规模较小,且总体上技术使用率较高(如持续葡萄糖监测、胰岛素泵),因此其推广性受到了限制。
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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.
期刊最新文献
Continuous Glucose Monitoring-Derived Glycemic Phenotyping of Childhood Hypoglycemia due to Hyperinsulinism: A Year-long Prospective Nationwide Observational Study. Diabetes Technology Use in Special Populations: A Narrative Review of Psychosocial Factors. Addressing Inequity in Continuous Glucose Monitoring Access: Leveraging the Hospital in the Continuum of Care. What is the Relationship Between Time in Range, Time in Tight Range, and HbA1c in Youth and Young Adults With Type 1 Diabetes? Results From the German/Austrian/Luxembourgian/Swiss Diabetes Prospective Follow-Up Registry. The Need for Standardization of Continuous Glucose Monitoring Performance Evaluation: An Opinion by the International Federation of Clinical Chemistry and Laboratory Medicine Working Group on Continuous Glucose Monitoring.
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