The Effectiveness of Digital Health Lifestyle Interventions on Weight Loss in People With Prediabetes: A Systematic Review, Meta-Analysis, and Meta-Regression.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Tanja Fredensborg Holm, Flemming Witt Udsen, Iben Engelbrecht Giese, Kristine Færch, Morten Hasselstrøm Jensen, Bernt Johan von Scholten, Stine Hangaard
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Abstract

Background: Digital health lifestyle interventions (DHLI) may offer scalable solutions to manage prediabetes in clinical practice; however, their effectiveness on people with prediabetes has not been systematically investigated and reviewed. Hence, in this systematic review, meta-analysis, and meta-regression the effectiveness of DHLI on prediabetes-related outcomes was investigated.

Methods: Four databases were searched to identify randomized controlled trials investigating the effectiveness of DHLI on adults with prediabetes published before 23 February 2024. The primary outcome was the change in body weight, with secondary outcomes including, among others, glycemic status, body composition, and feasibility outcomes. Meta-analyses were conducted to provide overall effect estimates of outcomes. In addition, meta-regressions on the primary outcome were conducted. The study quality was assessed using the Cochrane Risk of Bias tool, and the certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

Results: A total of 33 studies were included (n = 14 398). The study duration ranged from 3 to 60 months. The digital interventions varied from in-person meetings combined with pedometers and telephone calls to fully digital interventions. The overall estimated treatment difference in change in body weight favored the intervention (mean difference: -1.74 kg; 95% confidence interval: -2.37, -1.11; P < .01) with moderate certainty. Statistically significant overall effect estimates favoring the intervention were also found for secondary outcomes with very low to moderate certainty.

Conclusion: Digital health lifestyle interventions can result in statistically significant change in body weight and other secondary outcomes among people with prediabetes.

数字健康生活方式干预对糖尿病前期患者减肥的效果:系统综述、元分析和元回归。
背景:数字健康生活方式干预(DHLI)可为临床实践中管理糖尿病前期提供可扩展的解决方案;然而,其对糖尿病前期患者的有效性尚未得到系统的调查和审查。因此,在本系统综述、荟萃分析和荟萃回归中,研究了 DHLI 对糖尿病前期相关结果的有效性:方法:检索了四个数据库,以确定 2024 年 2 月 23 日之前发表的调查 DHLI 对成年糖尿病前期患者疗效的随机对照试验。主要结果为体重变化,次要结果包括血糖状况、身体成分和可行性结果等。进行了元分析以提供结果的总体效应估计值。此外,还对主要结果进行了元回归分析。研究质量采用 Cochrane 偏倚风险工具进行评估,证据的确定性采用建议评估、发展和评价分级法(GRADE)进行评估:共纳入 33 项研究(n = 14 398)。研究持续时间从 3 个月到 60 个月不等。数字化干预措施多种多样,从结合计步器和电话的面谈到完全数字化的干预措施。体重变化的总体估计治疗差异倾向于干预(平均差异:-1.74 千克;95% 置信区间:-2.37,-1.11;P .01),确定性中等。在次要结果中也发现了具有统计学意义的总体效果估计值,这些估计值有利于干预措施,但确定性为极低到中等:数字健康生活方式干预可使糖尿病前期患者的体重和其他次要结果发生统计学意义上的显著变化。
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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.
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