Suppr超能文献

一滴 | iPhone和Apple Watch上的移动应用:对与自我护理跟踪相关的糖化血红蛋白改善情况的评估

One Drop | Mobile on iPhone and Apple Watch: An Evaluation of HbA1c Improvement Associated With Tracking Self-Care.

作者信息

Osborn Chandra Y, van Ginkel Joost R, Marrero David G, Rodbard David, Huddleston Brian, Dachis Jeff

机构信息

Informed Data Systems Inc, New York, NY, United States.

Leiden University, Leiden, Netherlands.

出版信息

JMIR Mhealth Uhealth. 2017 Nov 29;5(11):e179. doi: 10.2196/mhealth.8781.

Abstract

BACKGROUND

The One Drop | Mobile app supports manual and passive (via HealthKit and One Drop's glucose meter) tracking of self-care and glycated hemoglobin A (HbA).

OBJECTIVE

We assessed the HbA change of a sample of people with type 1 diabetes (T1D) or type 2 diabetes (T2D) using the One Drop | Mobile app on iPhone and Apple Watch, and tested relationships between self-care tracking with the app and HbA change.

METHODS

In June 2017, we identified people with diabetes using the One Drop | Mobile app on iPhone and Apple Watch who entered two HbA measurements in the app 60 to 365 days apart. We assessed the relationship between using the app and HbA change.

RESULTS

Users had T1D (n=65) or T2D (n=191), were 22.7% (58/219) female, with diabetes for a mean 8.34 (SD 8.79) years, and tracked a mean 2176.35 (SD 3430.23) self-care activities between HbA entries. There was a significant 1.36% or 14.9 mmol/mol HbA reduction (F=62.60, P<.001) from the first (8.72%, 71.8 mmol/mol) to second HbA (7.36%, 56.9 mmol/mol) measurement. Tracking carbohydrates was independently associated with greater HbA improvement (all P<.01).

CONCLUSIONS

Using One Drop | Mobile on iPhone and Apple Watch may favorably impact glycemic control.

摘要

背景

“一滴”移动应用程序支持手动和被动(通过健康应用程序和一滴血糖仪)跟踪自我护理和糖化血红蛋白A(HbA)。

目的

我们使用适用于iPhone和Apple Watch的“一滴”移动应用程序评估了1型糖尿病(T1D)或2型糖尿病(T2D)患者样本的HbA变化,并测试了该应用程序的自我护理跟踪与HbA变化之间的关系。

方法

2017年6月,我们通过适用于iPhone和Apple Watch的“一滴”移动应用程序识别出糖尿病患者,这些患者在该应用程序中输入了间隔60至365天的两次HbA测量值。我们评估了使用该应用程序与HbA变化之间的关系。

结果

用户患有T1D(n = 65)或T2D(n = 191),女性占22.7%(58/219),糖尿病平均病程为8.34年(标准差8.79),在两次HbA记录之间平均跟踪了2176.35次(标准差3430.23)自我护理活动。从第一次HbA测量值(8.72%,71.8 mmol/mol)到第二次测量值(7.36%,56.9 mmol/mol),HbA显著降低了1.36%或14.9 mmol/mol(F = 62.60,P <.001)。跟踪碳水化合物摄入量与HbA的更大改善独立相关(所有P <.01)。

结论

在iPhone和Apple Watch上使用“一滴”移动应用程序可能对血糖控制产生积极影响。

相似文献

2
One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement.
JMIR Diabetes. 2017 Aug 24;2(2):e21. doi: 10.2196/diabetes.8039.
4
One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial.
JMIR Mhealth Uhealth. 2020 Sep 17;8(9):e16745. doi: 10.2196/16745.
5
A Mobile App for Synchronizing Glucometer Data: Impact on Adherence and Glycemic Control Among Youths With Type 1 Diabetes in Routine Care.
J Diabetes Sci Technol. 2017 May;11(3):461-467. doi: 10.1177/1932296817691302. Epub 2017 Feb 9.
6
7
A Diabetes Mobile App With In-App Coaching From a Certified Diabetes Educator Reduces A1C for Individuals With Type 2 Diabetes.
Diabetes Educ. 2018 Jun;44(3):226-236. doi: 10.1177/0145721718765650. Epub 2018 Mar 24.

引用本文的文献

1
Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control.
Front Endocrinol (Lausanne). 2024 Nov 20;15:1485464. doi: 10.3389/fendo.2024.1485464. eCollection 2024.
4
One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial.
JMIR Mhealth Uhealth. 2020 Sep 17;8(9):e16745. doi: 10.2196/16745.
9
Improving patient self-care using diabetes technologies.
Ther Adv Endocrinol Metab. 2019 Jan 28;10:2042018818824215. doi: 10.1177/2042018818824215. eCollection 2019.
10
The Influence of the Smart Glucose Manager Mobile Application on Diabetes Management.
J Diabetes Sci Technol. 2019 Jan;13(1):75-81. doi: 10.1177/1932296818804522. Epub 2018 Sep 28.

本文引用的文献

1
Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives.
JMIR Diabetes. 2017 Jan 23;2(1):e2. doi: 10.2196/diabetes.6643.
2
Mobile Apps for the Management of Diabetes.
Diabetes Care. 2017 Oct;40(10):e145-e146. doi: 10.2337/dc17-0853. Epub 2017 Aug 3.
3
Reliability and Validity of Ten Consumer Activity Trackers Depend on Walking Speed.
Med Sci Sports Exerc. 2017 Apr;49(4):793-800. doi: 10.1249/MSS.0000000000001146.
5
Digital Diabetes Communication: There's an App for That.
J Diabetes Sci Technol. 2016 Aug 22;10(5):1003-5. doi: 10.1177/1932296816660210. Print 2016 Sep.
7
8
Intensive Diabetes Treatment and Cardiovascular Outcomes in Type 1 Diabetes: The DCCT/EDIC Study 30-Year Follow-up.
Diabetes Care. 2016 May;39(5):686-93. doi: 10.2337/dc15-1990. Epub 2016 Feb 9.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验