基于指南的数字运动干预在超重和肥胖成人中减少体重和脂肪并促进身体活动:系统回顾和荟萃分析

IF 1.9 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Mohamad Motevalli, Clemens Drenowatz, Derrick Tanous, Gerhard Ruedl, Werner Kirschner, Markus Schauer, Thomas Rosemann, Katharina Wirnitzer
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引用次数: 0

摘要

背景:数字化的体育锻炼干预措施在解决肥胖流行病方面越来越受欢迎。然而,它们在降低体重(BW)和体脂方面的功效仍然存在不确定性,这可能至少部分是由于研究设计的差异和对国际体育活动(PA)指南的不一致遵守。目的:本研究旨在评估基于PA指南的数字运动干预在超重或肥胖成人中降低体重和脂肪的有效性,以及它们对PA相关因素的影响。方法:本综述遵循PRISMA(系统评价和荟萃分析首选报告项目)指南进行。综合检索于2024年10月在PubMed、Cochrane Library、Web of Science和Ovid MEDLINE数据库中进行。符合条件的研究包括客观证实超重或肥胖的成年人(年龄≥18岁),并使用符合国际PA指南的数字干预措施。使用Cochrane随机对照试验的偏倚风险(版本2)工具和非随机干预研究的非随机研究的偏倚风险评估。采用R软件进行Hartung-Knapp调整的随机效应meta分析。结果:在4948项研究中,188项(3.8%)研究被完全筛选,30项(0.6%)研究符合入选标准。干预时间从8周到24个月不等(平均6.4个月,标准差5.5个月)。荟萃分析显示,与对照组相比,基于指南的数字运动干预显著降低了体重(平均差[MD]=-1.17 kg;P = .003;I2=0.0%),亚组分析显示主动(非数字)对照组(MD=-1.23 kg;I2=7.5%)与被动(等候名单)对照(MD=-0.52 kg;I2 = 0.0%)。BMI显著降低(MD=-0.50 kg/m2;P= 0.003),尽管存在很大的异质性(I2=70.0%),亚组分析显示与被动对照组相比,效果更大(MD=-0.70 kg/m2;I2=43.1%)而不是主动对照(MD=-0.45 kg/m2;I2 = 74.5%)。总体体脂率无显著影响(MD=-0.08%;P =点;I2 = 7.4%)。定性分析(包括非比较研究的结果)表明,基于指南的数字运动干预导致体重显著降低(22/ 25,88%的研究;-1.3至-8.4公斤);BMI(19/23, 83%的研究;-0.4至-3.4 kg/m2);腰围(15/16,94%的研究;范围-2.1到-9.2 cm),体脂率(9/9,100%的研究;-0.3%至-4.1%);脂肪量(7/7,100%的研究;范围为-0.4至-6.5 kg),而腰臀比和PA结果的研究结果不一致。结论:基于指南的数字PA和运动干预显示出减少超重或肥胖成人多余体重的潜力,与非数字干预相比,效果更强。然而,在BMI和身体成分方面,它们是否优于传统方法尚不确定。研究设计上的巨大差异给得出有效的数字锻炼工具的具体特征的明确结论带来了挑战。试验注册:PROSPERO CRD42024620020;https://www.crd.york.ac.uk/PROSPERO/view/CRD42024620020。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Guideline-Based Digital Exercise Interventions for Reducing Body Weight and Fat and Promoting Physical Activity in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis.

Guideline-Based Digital Exercise Interventions for Reducing Body Weight and Fat and Promoting Physical Activity in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis.

Guideline-Based Digital Exercise Interventions for Reducing Body Weight and Fat and Promoting Physical Activity in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis.

Guideline-Based Digital Exercise Interventions for Reducing Body Weight and Fat and Promoting Physical Activity in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis.

Background: Digitally delivered physical exercise interventions are becoming increasingly popular in addressing the obesity epidemic. However, there remains uncertainty on their efficacy regarding the reduction of body weight (BW) and body fat, which may, at least partly, be due to variations in study designs and inconsistent adherence to international physical activity (PA) guidelines.

Objective: This study aimed to evaluate the effectiveness of digital exercise interventions based on PA guidelines in reducing BW and fat in adults with overweight or obesity, as well as their impact on PA-related factors.

Methods: This review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Comprehensive searches were performed in October 2024 across PubMed, Cochrane Library, Web of Science, and Ovid MEDLINE databases. Eligible studies included adults (aged ≥18 years) with objectively confirmed overweight or obesity who used digital interventions aligned with international PA guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias (version 2) tool for randomized controlled trials and the Risk of Bias in Nonrandomized Studies of Interventions tool for nonrandomized studies. A random-effects meta-analysis with Hartung-Knapp adjustment was performed using R software.

Results: Out of 4948 studies identified, 188 (3.8%) were screened in full and 30 (0.6%) met the eligibility criteria. Intervention durations ranged from 8 weeks to 24 months (average 6.4, SD 5.5 months). Meta-analysis showed that guideline-based digital exercise interventions significantly reduced BW compared to controls (mean difference [MD]=-1.17 kg; P=.003; I2=0.0%), with subgroup analysis revealing greater effects in active (nondigital) controls (MD=-1.23 kg; I2=7.5%) compared to passive (waitlist) controls (MD=-0.52 kg; I2=0.0%). A significant reduction in BMI was observed (MD=-0.50 kg/m2; P=.003), although with substantial heterogeneity (I2=70.0%), and subgroup analysis showed greater effects compared to passive controls (MD=-0.70 kg/m2; I2=43.1%) rather than to active controls (MD=-0.45 kg/m2; I2=74.5%). No significant effect was observed for body fat percentage overall (MD=-0.08%; P=.84; I2=7.4%). Qualitative analysis (including findings from noncomparative studies) showed that guideline-based digital exercise interventions led to significant reductions in BW (22/25, 88% studies; range -1.3 to -8.4 kg); BMI (19/23, 83% of studies; range -0.4 to -3.4 kg/m2); waist circumference (15/16, 94% of studies; range -2.1 to -9.2 cm), body fat percentage (9/9, 100% of studies; range -0.3% to -4.1%); and fat mass (7/7, 100% of studies; range -0.4 to -6.5 kg), while findings for waist-to-hip ratio and PA outcomes were inconsistent.

Conclusions: Guideline-based digital PA and exercise interventions show potential in reducing excess BW in adults with overweight or obesity, with stronger effects when compared to nondigital interventions. However, their superiority over traditional methods is uncertain for BMI and body composition. Substantial variations in study designs present challenges in drawing definitive conclusions on specific characteristics of effective digital exercise tools.

Trial registration: PROSPERO CRD42024620020; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024620020.

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来源期刊
Interactive Journal of Medical Research
Interactive Journal of Medical Research MEDICINE, RESEARCH & EXPERIMENTAL-
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