与血糖正常个体相比，活动追踪应用程序对糖尿病前期患者身体活动和血糖控制的影响：一项初步研究。

The Effect of Activity Tracking Apps on Physical Activity and Glycemic Control in People with Prediabetes Compared to Normoglycemic Individuals: A Pilot Study.

作者信息

Kalampoki Aikaterini, Ntzani Evangelia E, Asimakopoulos Alexandros-Georgios I, Liberopoulos Evangelos, Tentolouris Nikolaos, Anastasiou Georgia, Adamidis Petros-Spyridonas, Kotsa Kalliopi, Rizos Evangelos C

机构信息

School of Health Sciences, University of Ioannina, St. Niarchou Av, 45500 Ioannina, Greece.

Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, 45500 Ioannina, Greece.

出版信息

Nutrients. 2024 Dec 31;17(1):135. doi: 10.3390/nu17010135.

DOI:10.3390/nu17010135

PMID:39796569

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11722914/

Abstract

UNLABELLED

Introduction-Aim: Adopting a lifestyle that incorporates regular physical activity confers substantial benefits to both physical and mental health and is recommended for prediabetic individuals. The aim of this study is to investigate the impact of activity tracking apps on increasing physical activity and its effect on glycemic control in people with prediabetes.

MATERIALS AND METHODS

This pilot study included 37 participants, 18 in the prediabetic group and 19 in the normoglycemic group matched for age and gender (mean age 53 years, 40% males). Participants used the Google Fit app for 3 months. The number of daily steps was recorded via the app, and blood and urine tests as well as body fat measurements were conducted before and following 3 months of app use. The co-primary outcome was the change in steps, and the change in HbA1c in both groups. Secondary outcomes were the change in fasting plasma glucose (FPG) (main secondary outcome), as well as lipid parameters, body mass index, visceral fat, and kidney function indices among the two groups.

RESULTS

Both groups increased the daily step count following the app intervention, without any statistically significant difference when we compared the steps change between the two groups. We found a statistically significant difference between HbA1c levels in favor of the prediabetic compared to the normoglycemic group [mean difference (MD) 0.16, 95%CI 0.04, 0.28, -value 0.01)], following the 3-month intervention. Additionally, there was a statistically significant difference between FPG levels in favor of the prediabetic compared to the normoglycemic group (MD 9.06, 95%CI 4.16, 13.96, -value 0.001).

CONCLUSIONS

The present study suggests that the use of activity tracking apps, combined with tailored activity goals and monthly supportive phone calls, may contribute to improved glycemic control among individuals with prediabetes.

摘要

未标注

引言-目的：采用包含规律体育活动的生活方式对身心健康都有诸多益处，建议糖尿病前期个体采用。本研究旨在调查活动追踪应用程序对增加糖尿病前期人群身体活动的影响及其对血糖控制的作用。

材料与方法

这项试点研究纳入了37名参与者，糖尿病前期组18人，血糖正常组19人，两组年龄和性别匹配（平均年龄53岁，男性占40%）。参与者使用谷歌健身应用程序3个月。通过该应用程序记录每日步数，并在使用应用程序3个月前后进行血液和尿液检测以及身体脂肪测量。共同主要结局是步数变化以及两组糖化血红蛋白（HbA1c）的变化。次要结局是空腹血糖（FPG）的变化（主要次要结局），以及两组之间的血脂参数、体重指数、内脏脂肪和肾功能指标。

结果

应用程序干预后两组的每日步数均增加，两组之间的步数变化进行比较时无统计学显著差异。在3个月的干预后，我们发现糖化血红蛋白水平在糖尿病前期组与血糖正常组之间存在统计学显著差异，糖尿病前期组更有利[平均差值（MD）0.16，95%置信区间0.04，0.28，P值0.01]。此外，空腹血糖水平在糖尿病前期组与血糖正常组之间存在统计学显著差异，糖尿病前期组更有利（MD 9.06，95%置信区间4.16，13.96，P值0.001）。