The College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Provincial Key Laboratory of Traditional Chinese Medicine (TCM) Diagnostics, Hunan University of Chinese Medicine, Changsha, China.
Front Endocrinol (Lausanne). 2022 Sep 5;13:999702. doi: 10.3389/fendo.2022.999702. eCollection 2022.
To investigate the effect of multiple eHealth-delivered lifestyle interventions on obesity-related anthropometric outcomes in children and adolescents.
The Medline ( PubMed), Embase, Cochrane Library, Web of Science, CBM, VIP, CNKI, and Wanfang electronic databases were systematically searched from their inception to March 18, 2022, for randomized controlled trials (RCTs). Meta-analyses were performed to investigate the effect of multiple eHealth-delivered lifestyle interventions on obesity-related anthropometric outcomes (body mass index [BMI], BMI Z-score, waist circumference, body weight, and body fat%). Two independent investigators reviewed the studies for accuracy and completeness. All included studies were evaluated using the Cochrane Risk-of-Bias (ROB) Tool.
Forty trials comprising 6,403 patients were selected for the meta-analysis. The eligible trials were published from 2006 to 2022. Compared with the control group, the eHealth-intervention group was more effective in reducing BMI (weighted mean difference [WMD] = -0.32, 95% confidence interval [CI]: -0.50 to -0.13, = 85.9%), BMI Z-score (WMD = -0.08, 95% CI: -0.14 to -0.03, = 89.1%), waist circumference (WMD = -0.87, 95% CI: -1.70 to -0.04, = 43.3%), body weight (WMD = -0.96, 95% CI: -1.55 to -0.37, = 0.0%), and body fat% (WMD = -0.59, 95% CI: -1.08 to -0.10, = 0.0%). The subgroup analysis showed that parental or school involvement (WMD = -0.66, 95% CI: -0.98 to -0.34), eHealth-intervention duration of >12 weeks (WMD = -0.67, 95% CI: -0.96 to -0.38), and mobile-based interventions (WMD = -0.78, 95% CI: -1.13 to -0.43) had a significantly greater intervention effect size on BMI.
This review recommends that multiple eHealth-delivered lifestyle strategies may be useful for preventing or treating overweight and obesity among children and adolescents. However, our results should be cautiously interpreted due to certain limitations in our study.
探讨多种电子健康生活方式干预对儿童和青少年肥胖相关人体测量学结果的影响。
系统检索了从建库至 2022 年 3 月 18 日的 Medline(PubMed)、Embase、Cochrane 图书馆、Web of Science、CBM、VIP、CNKI 和万方电子数据库,以获取随机对照试验(RCT)。采用 Meta 分析研究多种电子健康生活方式干预对肥胖相关人体测量学结果(体重指数[BMI]、BMI Z 评分、腰围、体重和体脂%)的影响。两名独立的研究者对研究进行了准确性和完整性的评估。所有纳入的研究均使用 Cochrane 偏倚风险(ROB)工具进行评估。
共纳入 40 项 RCT 研究,涉及 6403 名患者。合格试验的发表时间为 2006 年至 2022 年。与对照组相比,电子健康干预组在降低 BMI(加权均数差[WMD] = -0.32,95%置信区间[CI]:-0.50 至 -0.13, = 85.9%)、BMI Z 评分(WMD = -0.08,95%CI:-0.14 至 -0.03, = 89.1%)、腰围(WMD = -0.87,95%CI:-1.70 至 -0.04, = 43.3%)、体重(WMD = -0.96,95%CI:-1.55 至 -0.37, = 0.0%)和体脂%(WMD = -0.59,95%CI:-1.08 至 -0.10, = 0.0%)方面更有效。亚组分析显示,父母或学校参与(WMD = -0.66,95%CI:-0.98 至 -0.34)、电子健康干预持续时间>12 周(WMD = -0.67,95%CI:-0.96 至 -0.38)和基于移动设备的干预(WMD = -0.78,95%CI:-1.13 至 -0.43)对 BMI 的干预效果更大。
本综述建议多种电子健康生活方式策略可能有助于预防或治疗儿童和青少年超重和肥胖。然而,由于本研究存在一定的局限性,我们的研究结果应谨慎解释。