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移动应用程序干预与 2 型糖尿病患者体重减轻:一项荟萃分析。

Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta-Analysis.

机构信息

School of Nursing, Peking University, Beijing, China.

Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.

出版信息

Obesity (Silver Spring). 2020 Mar;28(3):502-509. doi: 10.1002/oby.22715. Epub 2020 Jan 22.


DOI:10.1002/oby.22715
PMID:31965748
Abstract

OBJECTIVE: This meta-analysis aimed to assess the effect of mobile application (app) interventions on weight loss in patients with type 2 diabetes. METHODS: Electronic databases were searched for randomized controlled trials examining the use of mobile app interventions with outcomes on weight loss evaluated by body weight or other measures such as BMI or waist circumference. A random-effects model was applied to obtain weight mean differences and 95% CIs. RESULTS: Fourteen studies enrolling 2,129 patients with type 2 diabetes were included. Mobile app interventions could significantly reduce body weight (weight mean difference, -0.84 kg; 95% CI: -1.51 to -0.17 kg) and lower waist circumference (-1.35 cm; 95% CI: -2.16 to -0.55 cm) but may not decrease BMI (-0.08 kg/m ; 95% CI: -0.41 to 0.25 kg/m ). The reductions appeared to be more pronounced in patients with obesity or among studies using mobile app interventions combined with other behavior components. However, weight loss was not moderated by the functionalities of the mobile apps (all P  > 0.05) or by the intervention duration (all P > 0.87). CONCLUSIONS: Mobile app interventions lead to weight loss in patients with type 2 diabetes and are worth recommending for weight loss promotion.

摘要

目的:本荟萃分析旨在评估移动应用程序(app)干预措施对 2 型糖尿病患者体重减轻的影响。

方法:检索电子数据库,以寻找评估体重减轻的移动应用程序干预措施的随机对照试验,这些试验使用体重或其他指标(如 BMI 或腰围)来评估体重。采用随机效应模型获得体重均数差值和 95%置信区间。

结果:共纳入 14 项研究,涉及 2129 例 2 型糖尿病患者。移动应用程序干预措施可显著降低体重(体重均数差值,-0.84kg;95%置信区间:-1.51 至 -0.17kg)和腰围(-1.35cm;95%置信区间:-2.16 至 -0.55cm),但可能不会降低 BMI(-0.08kg/m;95%置信区间:-0.41 至 0.25kg/m)。在肥胖患者或在使用移动应用程序干预措施与其他行为成分相结合的研究中,这种降低似乎更为明显。然而,体重减轻未受移动应用程序功能(均 P>0.05)或干预持续时间(均 P>0.87)的调节。

结论:移动应用程序干预措施可导致 2 型糖尿病患者体重减轻,值得推荐用于促进体重减轻。

相似文献

[1]
Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta-Analysis.

Obesity (Silver Spring). 2020-1-22

[2]
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引用本文的文献

[1]
Behavior Change Resources Used in Mobile App-Based Interventions Addressing Weight, Behavioral, and Metabolic Outcomes in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

JMIR Mhealth Uhealth. 2025-8-19

[2]
Efficacy of a Mobile Health-Based Behavioral Treatment for Lifestyle Modification in Type 2 Diabetes Self-Management: Greenhabit Randomized Controlled Trial.

J Med Internet Res. 2025-1-22

[3]
Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses.

Lancet Digit Health. 2024-11

[4]
Managing cardiovascular risk factors with telemedicine in primary care: A systematic review and meta-analysis of patients with arterial hypertension and type 2 diabetes.

Chronic Illn. 2025-3

[5]
The effectiveness of mobile app usage in facilitating weight loss: An observational study.

Obes Sci Pract. 2024-5-13

[6]
Weight Loss in Short-Term Interventions for Physical Activity and Nutrition Among Adults With Overweight or Obesity: A Systematic Review and Meta-Analysis.

Prev Chronic Dis. 2024-4-4

[7]
Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico.

Sci Rep. 2024-3-14

[8]
Barriers and Enablers to the Adoption of a Healthier Diet Using an App: Qualitative Interview Study With Patients With Type 2 Diabetes Mellitus.

JMIR Diabetes. 2023-12-19

[9]
An umbrella review of effectiveness and efficacy trials for app-based health interventions.

NPJ Digit Med. 2023-12-16

[10]
An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study.

J Med Internet Res. 2023-9-6

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