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

预印本 超重 指南 荟萃分析 心理干预 医学 晋升(国际象棋) 体力活动 肥胖 物理疗法 减肥 老年学 内科学 计算机科学 政治学 护理部 病理 法学 政治 万维网
作者
Mohamad Motevalli,Clemens Drenowatz,Derrick R. Tanous,Gerhard Ruedl,Werner Kirschner,Markus Schauer,Thomas Rosemann,Katharina Wirnitzer
出处
期刊:Interactive journal of medical research [JMIR Publications]
卷期号:14: e73656-e73656 被引量:2
标识
DOI:10.2196/73656
摘要

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
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
lize5493完成签到,获得积分10
2秒前
耍酷激光豆完成签到,获得积分10
2秒前
汐总完成签到,获得积分10
2秒前
谷胱甘肽关注了科研通微信公众号
3秒前
上官若男应助ReYosakura采纳,获得10
3秒前
云淡风轻完成签到,获得积分10
3秒前
Lanx完成签到,获得积分10
4秒前
一篮子青柠檬完成签到,获得积分10
4秒前
6666应助科研采纳,获得10
4秒前
5秒前
老天师一巴掌完成签到 ,获得积分0
5秒前
wushuqi666完成签到,获得积分10
5秒前
年糕发布了新的文献求助10
5秒前
科研通AI6.2应助seven采纳,获得10
5秒前
ChemTSAI完成签到,获得积分10
5秒前
韦智杰完成签到,获得积分10
5秒前
5秒前
SciGPT应助地精术士采纳,获得10
6秒前
6秒前
iwan完成签到,获得积分10
6秒前
6秒前
7秒前
ling发布了新的文献求助10
7秒前
高数数完成签到 ,获得积分10
7秒前
7秒前
开朗书双完成签到,获得积分10
8秒前
搜集达人应助jzzj采纳,获得10
9秒前
9秒前
丘比特应助初a采纳,获得10
9秒前
10秒前
10秒前
10秒前
谨慎蝴蝶发布了新的文献求助10
11秒前
开朗书双发布了新的文献求助20
11秒前
寒战完成签到,获得积分10
11秒前
塔莉娅发布了新的文献求助10
12秒前
YUN完成签到,获得积分20
12秒前
12秒前
初景发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7756867
求助须知:如何正确求助?哪些是违规求助? 9303333
关于积分的说明 20273662
捐赠科研通 7340345
什么是DOI,文献DOI怎么找? 3311642
关于科研通互助平台的介绍 2462540
邀请新用户注册赠送积分活动 2325267