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2型糖尿病患者参与智能手机提供的饮食教育干预及其与饮食摄入和心血管代谢风险标志物的关系:一项随机对照试验的二次分析

Engagement With a Smartphone-Delivered Dietary Education Intervention and Its Relation to Dietary Intake and Cardiometabolic Risk Markers in People With Type 2 Diabetes: Secondary Analysis of a Randomized Controlled Trial.

作者信息

Sjoblom Linnea, Stenbeck Freja, Trolle Lagerros Ylva, Hantikainen Essi, Bonn Stephanie E

机构信息

Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, T2, Maria Aspmans gata 16, Stockholm, 171 76, Sweden, 46 8-517 791 83.

Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden.

出版信息

JMIR Form Res. 2025 May 30;9:e71408. doi: 10.2196/71408.

Abstract

BACKGROUND

Mobile health (mHealth) interventions offer a promising way to support healthy lifestyle habits, but effectiveness depends on user engagement. Maintaining high user engagement in app-based interventions is important, yet challenging.

OBJECTIVE

We aimed to examine the association between user engagement with an app-based dietary education for people with type 2 diabetes and changes in diet quality, dietary intake, and clinical measures.

METHODS

In this randomized clinical trial, people with type 2 diabetes were recruited within primary care and randomized 1:1 to a 12-week smartphone-delivered app-based dietary education or control group. Participants were followed up after 3, 6, and 12 months. Dietary intake was assessed using a food frequency questionnaire. The control group received the app at the 3-month follow-up. User engagement was analyzed among all participants. Categories of high (100%), moderate (50%-99.9%), and low (<50%) user engagement were created based on the percentage of activities completed in the app. We used paired t tests to compare mean changes in diet quality, dietary intake, and clinical markers within user engagement groups, and fitted linear regression models to analyze differences in change between groups.

RESULTS

Data from 119 participants (60.5%, 72/119 men) were analyzed. The mean age at baseline was 63.2 (SD 10.3) years and mean BMI was 30.1 (SD 5.1) kg/m2. User engagement was high with an average of 77.1% of app activities completed. More than half (53.8%, 64/119) of the users showed high user engagement, 21.8% (26/119) moderate, and 24.4% (29/119) low. Directly following the app-based education, a significant difference in change was seen for whole grains (β=20.4, 95%CI 0.57-40.3) in participants with high user engagement compared to the low user engagement group who decreased their intake (P=.03). At follow-up after 6 to 9 months after completed education, significant differences in change were seen for fiber, wholegrains, carbohydrates, saturated fat, sodium, and total energy in the moderate compared with the low engagement group, and a significant difference in change was seen for carbohydrates in the high, compared with the low, user engagement group.

CONCLUSIONS

User engagement was generally high for the smartphone-based dietary education, suggesting that an app targeting dietary habits is feasible to use. Those with higher user engagement seem to maintain healthier dietary behaviours over time, compared to those with low user engagement. Future mHealth interventions should focus on ways to engage those with low interest.

摘要

背景

移动健康(mHealth)干预为支持健康生活方式习惯提供了一种很有前景的方式,但其有效性取决于用户参与度。在基于应用程序的干预中保持高用户参与度很重要,但也具有挑战性。

目的

我们旨在研究2型糖尿病患者对基于应用程序的饮食教育的用户参与度与饮食质量、饮食摄入量和临床指标变化之间的关联。

方法

在这项随机临床试验中,在初级保健机构招募2型糖尿病患者,并将其按1:1随机分为接受为期12周的基于智能手机应用程序的饮食教育组或对照组。在3个月、6个月和12个月后对参与者进行随访。使用食物频率问卷评估饮食摄入量。对照组在3个月随访时获得该应用程序。对所有参与者的用户参与度进行分析。根据应用程序中完成活动的百分比创建高(100%)、中(50%-99.9%)和低(<50%)用户参与度类别。我们使用配对t检验比较用户参与度组内饮食质量、饮食摄入量和临床指标的平均变化,并拟合线性回归模型分析组间变化差异。

结果

分析了119名参与者(60.5%,72/119为男性)的数据。基线时的平均年龄为63.2(标准差10.3)岁,平均BMI为30.1(标准差5.1)kg/m²。用户参与度较高,平均完成了77.1%的应用程序活动。超过一半(53.8%,64/119)的用户表现出高用户参与度,21.8%(26/119)为中度,24.4%(29/1)为低度。在基于应用程序的教育直接结束后,与摄入量减少的低用户参与度组相比,高用户参与度的参与者在全谷物方面的变化有显著差异(β=20.4,95%CI 0.57-40.3)(P=.)。在完成教育后的6至9个月随访中,与低参与度组相比,中度参与度组在纤维、全谷物、碳水化合物、饱和脂肪、钠和总能量方面的变化有显著差异,与低用户参与度组相比,高用户参与度组在碳水化合物方面的变化有显著差异。

结论

基于智能手机的饮食教育的用户参与度总体较高,这表明针对饮食习惯的应用程序是可行的。与低用户参与度的人相比,用户参与度较高的人似乎随着时间的推移保持更健康的饮食行为。未来的移动健康干预应侧重于提高低兴趣人群参与度的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4794/12168189/ed36b5887e35/formative-v9-e71408-g001.jpg

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