Yuting Tang, Xian Guo, Xinyuan Liu, Junqiang Qiu, Junchao Yang
{"title":"基于移动健康的生活方式干预对超重/肥胖成年人体重减轻的影响：一项系统荟萃分析","authors":"Yuting Tang, Xian Guo, Xinyuan Liu, Junqiang Qiu, Junchao Yang","doi":"10.1007/s11606-025-09841-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Obesity is a global health challenge and increases the risk of chronic diseases. Mobile health technologies (mHealth) have emerged as a personalized and multimodal intervention for weight management. This meta-analysis evaluated the effectiveness of mHealth-based lifestyle interventions on weight loss and BMI reduction in overweight and obese adults.</p><p><strong>Methods: </strong>A total of 42 randomized controlled trials were identified and included from five major databases. Analyses were conducted using RevMan 5.4. Primary and secondary outcomes were changes in body weight and BMI, respectively.</p><p><strong>Results: </strong>The meta-analysis showed that mHealth-based lifestyle interventions significantly reduced body weight (MD = - 1.79 kg, p < 0.00001) and BMI (MD = - 0.65 kg/m<sup>2</sup>, p < 0.00001). Subgroup analyses revealed that mobile applications interventions significantly declined both body weight (MD = - 1.97 kg, p < 0.00001) and BMI (MD = - 1.20 kg/m<sup>2</sup>, p = 0.002). Wearable-based technologies interventions also significantly reduced body weight (MD = - 1.08 kg, p = 0.0006) and BMI (MD = - 0.44 kg/m<sup>2</sup>, p < 0.00001). Web-based technologies interventions significantly decreased body weight loss (MD = - 1.99 kg, p < 0.00001), but no BMI (MD = - 0.44 kg/m<sup>2</sup>, p = 0.09). Health education based on mHealth interventions significantly lowered body weight (MD = - 0.78 kg, p = 0.01) and BMI (MD = - 0.44 kg/m<sup>2</sup>, p = 0.0003). Furthermore, intelligent management based on mHealth interventions significantly dropped body weight (MD = - 0.70 kg, p < 0.0001) and BMI (MD = - 0.38 kg/m<sup>2</sup>, p < 0.00001). No significant difference was found between mHealth-based online interventions and face-to-face interventions for body weight (MD = - 1.73 kg, p = 0.11) or BMI (MD = - 0.88 kg/m<sup>2</sup>, p = 0.10).</p><p><strong>Conclusion: </strong>mHealth-based lifestyle interventions are effective in reducing body weight and BMI in overweight and obese adults. 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This meta-analysis evaluated the effectiveness of mHealth-based lifestyle interventions on weight loss and BMI reduction in overweight and obese adults.</p><p><strong>Methods: </strong>A total of 42 randomized controlled trials were identified and included from five major databases. Analyses were conducted using RevMan 5.4. Primary and secondary outcomes were changes in body weight and BMI, respectively.</p><p><strong>Results: </strong>The meta-analysis showed that mHealth-based lifestyle interventions significantly reduced body weight (MD = - 1.79 kg, p < 0.00001) and BMI (MD = - 0.65 kg/m<sup>2</sup>, p < 0.00001). Subgroup analyses revealed that mobile applications interventions significantly declined both body weight (MD = - 1.97 kg, p < 0.00001) and BMI (MD = - 1.20 kg/m<sup>2</sup>, p = 0.002). Wearable-based technologies interventions also significantly reduced body weight (MD = - 1.08 kg, p = 0.0006) and BMI (MD = - 0.44 kg/m<sup>2</sup>, p < 0.00001). Web-based technologies interventions significantly decreased body weight loss (MD = - 1.99 kg, p < 0.00001), but no BMI (MD = - 0.44 kg/m<sup>2</sup>, p = 0.09). Health education based on mHealth interventions significantly lowered body weight (MD = - 0.78 kg, p = 0.01) and BMI (MD = - 0.44 kg/m<sup>2</sup>, p = 0.0003). Furthermore, intelligent management based on mHealth interventions significantly dropped body weight (MD = - 0.70 kg, p < 0.0001) and BMI (MD = - 0.38 kg/m<sup>2</sup>, p < 0.00001). No significant difference was found between mHealth-based online interventions and face-to-face interventions for body weight (MD = - 1.73 kg, p = 0.11) or BMI (MD = - 0.88 kg/m<sup>2</sup>, p = 0.10).</p><p><strong>Conclusion: </strong>mHealth-based lifestyle interventions are effective in reducing body weight and BMI in overweight and obese adults. 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引用次数: 0
摘要
背景：肥胖是一个全球性的健康挑战，并增加了慢性疾病的风险。移动健康技术（mHealth）已经成为一种个性化的、多模式的体重管理干预手段。本荟萃分析评估了基于移动健康的生活方式干预对超重和肥胖成年人体重减轻和BMI降低的有效性。方法：从5个主要数据库中选取42项随机对照试验。使用RevMan 5.4进行分析。主要和次要结局分别是体重和BMI的变化。结果：荟萃分析显示，以移动健康为基础的生活方式干预可显著降低体重（MD = - 1.79 kg, p 2, p 2, p = 0.002）。基于可穿戴技术的干预也显著降低了体重（MD = - 1.08 kg, p = 0.0006）和BMI （MD = - 0.44 kg/m2, p = 2, p = 0.09）。基于移动健康干预的健康教育显著降低了体重（MD = - 0.78 kg, p = 0.01）和BMI （MD = - 0.44 kg/m2, p = 0.0003）。此外，基于移动健康干预的智能管理显著降低了体重（MD = - 0.70 kg, p 2, p 2, p = 0.10）。结论：以移动健康为基础的生活方式干预可以有效降低超重和肥胖成年人的体重和BMI。需要进一步优化以提高长期有效性和用户依从性。
Impact of mHealth-Based Lifestyle Interventions on Weight Loss in Overweight/Obese Adults: A Systematic Meta-Analysis.
Background: Obesity is a global health challenge and increases the risk of chronic diseases. Mobile health technologies (mHealth) have emerged as a personalized and multimodal intervention for weight management. This meta-analysis evaluated the effectiveness of mHealth-based lifestyle interventions on weight loss and BMI reduction in overweight and obese adults.
Methods: A total of 42 randomized controlled trials were identified and included from five major databases. Analyses were conducted using RevMan 5.4. Primary and secondary outcomes were changes in body weight and BMI, respectively.
Results: The meta-analysis showed that mHealth-based lifestyle interventions significantly reduced body weight (MD = - 1.79 kg, p < 0.00001) and BMI (MD = - 0.65 kg/m2, p < 0.00001). Subgroup analyses revealed that mobile applications interventions significantly declined both body weight (MD = - 1.97 kg, p < 0.00001) and BMI (MD = - 1.20 kg/m2, p = 0.002). Wearable-based technologies interventions also significantly reduced body weight (MD = - 1.08 kg, p = 0.0006) and BMI (MD = - 0.44 kg/m2, p < 0.00001). Web-based technologies interventions significantly decreased body weight loss (MD = - 1.99 kg, p < 0.00001), but no BMI (MD = - 0.44 kg/m2, p = 0.09). Health education based on mHealth interventions significantly lowered body weight (MD = - 0.78 kg, p = 0.01) and BMI (MD = - 0.44 kg/m2, p = 0.0003). Furthermore, intelligent management based on mHealth interventions significantly dropped body weight (MD = - 0.70 kg, p < 0.0001) and BMI (MD = - 0.38 kg/m2, p < 0.00001). No significant difference was found between mHealth-based online interventions and face-to-face interventions for body weight (MD = - 1.73 kg, p = 0.11) or BMI (MD = - 0.88 kg/m2, p = 0.10).
Conclusion: mHealth-based lifestyle interventions are effective in reducing body weight and BMI in overweight and obese adults. Further optimization is needed to enhance long-term effectiveness and user adherence.
期刊介绍：
The Journal of General Internal Medicine is the official journal of the Society of General Internal Medicine. It promotes improved patient care, research, and education in primary care, general internal medicine, and hospital medicine. Its articles focus on topics such as clinical medicine, epidemiology, prevention, health care delivery, curriculum development, and numerous other non-traditional themes, in addition to classic clinical research on problems in internal medicine.
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