移动健康应用程序参与与2型糖尿病和前驱糖尿病患者体重减轻和血糖控制之间的关系(D'LITE研究):前瞻性队列研究

Q2 Medicine JMIR Diabetes Pub Date : 2022-09-30 DOI:10.2196/35039
Su Lin Lim, Melissa Hui Juan Tay, Kai Wen Ong, Jolyn Johal, Qai Ven Yap, Yiong Huak Chan, Genevieve Kai Ning Yeo, Chin Meng Khoo, Alison Yaxley
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引用次数: 2

摘要

背景:移动健康应用程序越来越多地被用作早期干预,以支持糖尿病预防和控制的行为改变,其总体目标是降低总体疾病负担。目的:这项在新加坡进行的前瞻性队列研究旨在调查应用程序参与功能及其与糖尿病和前驱糖尿病患者体重减轻和血糖控制改善的关系,该研究来自糖尿病生活方式干预使用技术赋权随机对照试验的干预部分。方法:纳入糖尿病和前驱糖尿病参与者(N=171),中位年龄52岁,BMI为29.3 kg/m2,糖化血红蛋白(HbA1c)水平为6.5%,并分配了营养师巴迪糖尿病应用程序。在基线、3个月和6个月时测量体重和HbA1c。通过后端仪表板和开发者报告,我们可以追踪到476,300个数据点的每日应用粘性。应用粘性数据通过四分位数和周均值(以每周天数表示)进行分析。使用线性混合模型分析来确定应用程序参与与百分比权重和糖化血红蛋白变化之间的关系。结果:6个月后,整体应用粘性中位数维持在90%以上。积极参与≥5个应用程序功能的参与者与基线的最大总体体重减轻10.6%相关(平均差值为-6,95% CI为-8.9至-3.2;每周P5.9天和每周选择健康食品>4.3天的影响最大,导致体重减轻9.1%(平均差为-5.2,95% CI为-8.2至-2.2;P=.001)和8.8%(平均差异-4.2,95% CI -7.1至-1.3;分别P = .005)。在糖尿病患者中,每周有完整膳食记录>5.1天或每周保持碳水化合物限制>5.9天的患者,HbA1c均降低1.2% (SD 1.3%;SD 1.5%),与0.2% (SD 1%;SD 0.6%)。结论:在超重或肥胖合并2型糖尿病或前驱糖尿病的成年人中,应用参与度越高,体重减轻和HbA1c降低的效果越好。试验注册:澳大利亚新西兰临床试验注册中心(ANZCTR) ACTRN12617001112358;https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12617001112358。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D'LITE Study): Prospective Cohort Study.

Background: Mobile health apps are increasingly used as early intervention to support behavior change for diabetes prevention and control, with the overarching goal of lowering the overall disease burden.

Objective: This prospective cohort study conducted in Singapore aimed to investigate app engagement features and their association with weight loss and improved glycemic control among adults with diabetes and prediabetes from the intervention arm of the Diabetes Lifestyle Intervention using Technology Empowerment randomized controlled trial.

Methods: Diabetes and prediabetes participants (N=171) with a median age of 52 years, BMI of 29.3 kg/m2, and glycated hemoglobin (HbA1c) level of 6.5% and who were being assigned the Nutritionist Buddy Diabetes app were included. Body weight and HbA1c were measured at baseline, 3 months, and 6 months. A total of 476,300 data points on daily app engagement were tracked via the backend dashboard and developer's report. The app engagement data were analyzed by quartiles and weekly means expressed in days per week. Linear mixed model analysis was used to determine the associations between the app engagements with percentage weight and HbA1c change.

Results: The median overall app engagement rate was maintained above 90% at 6 months. Participants who were actively engaged in ≥5 app features were associated with the greatest overall weight reduction of 10.6% from baseline (mean difference -6, 95% CI -8.9 to -3.2; P<.001) at 6 months. Adhering to the carbohydrate limit of >5.9 days per week and choosing healthier food options for >4.3 days per week had the most impact, eliciting weight loss of 9.1% (mean difference -5.2, 95% CI -8.2 to -2.2; P=.001) and 8.8% (mean difference -4.2, 95% CI -7.1 to -1.3; P=.005), respectively. Among the participants with diabetes, those who had a complete meal log for >5.1 days per week or kept within their carbohydrate limit for >5.9 days per week each achieved greater HbA1c reductions of 1.2% (SD 1.3%; SD 1.5%), as compared with 0.2% (SD 1%; SD 0.6%). in the reference groups who used the features <1.1 or ≤2.5 days per week, respectively.

Conclusions: Higher app engagement led to greater weight loss and HbA1c reduction among adults with overweight or obesity with type 2 diabetes or prediabetes.

Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12617001112358; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12617001112358.

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来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
期刊最新文献
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