Hutchesson M J, Rollo M E, Krukowski R, Ells L, Harvey J, Morgan P J, Callister R, Plotnikoff R, Collins C E
School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia.
Obes Rev. 2015 May;16(5):376-92. doi: 10.1111/obr.12268. Epub 2015 Mar 5.
A systematic review of randomized controlled trials was conducted to evaluate the effectiveness of eHealth interventions for the prevention and treatment of overweight and obesity in adults. Eight databases were searched for studies published in English from 1995 to 17 September 2014. Eighty-four studies were included, with 183 intervention arms, of which 76% (n = 139) included an eHealth component. Sixty-one studies had the primary aim of weight loss, 10 weight loss maintenance, eight weight gain prevention, and five weight loss and maintenance. eHealth interventions were predominantly delivered using the Internet, but also email, text messages, monitoring devices, mobile applications, computer programs, podcasts and personal digital assistants. Forty percent (n = 55) of interventions used more than one type of technology, and 43.2% (n = 60) were delivered solely using eHealth technologies. Meta-analyses demonstrated significantly greater weight loss (kg) in eHealth weight loss interventions compared with control (MD -2.70 [-3.33,-2.08], P < 0.001) or minimal interventions (MD -1.40 [-1.98,-0.82], P < 0.001), and in eHealth weight loss interventions with extra components or technologies (MD 1.46 [0.80, 2.13], P < 0.001) compared with standard eHealth programmes. The findings support the use of eHealth interventions as a treatment option for obesity, but there is insufficient evidence for the effectiveness of eHealth interventions for weight loss maintenance or weight gain prevention.
开展了一项随机对照试验的系统评价，以评估电子健康干预措施对成人超重和肥胖预防及治疗的有效性。检索了八个数据库，查找1995年至2014年9月17日以英文发表的研究。纳入了84项研究，共183个干预组，其中76%（n = 139）包含电子健康成分。61项研究的主要目标是减肥，10项是维持体重减轻，8项是预防体重增加，5项是减肥及维持体重。电子健康干预主要通过互联网实施，但也包括电子邮件、短信、监测设备、移动应用程序、计算机程序、播客和个人数字助理。40%（n = 55）的干预使用了不止一种技术类型，43.2%（n = 60）仅通过电子健康技术实施。荟萃分析表明，与对照组（MD -2.70 [-3.33, -2.08]，P < 0.001）或最小干预组（MD -1.40 [-1.98, -0.82]，P < 0.001）相比，电子健康减肥干预措施导致的体重减轻（千克）显著更多；与标准电子健康计划相比，具有额外成分或技术的电子健康减肥干预措施（MD 1.46 [0.80, 2.13]，P < 0.001）导致的体重减轻也显著更多。研究结果支持将电子健康干预措施作为肥胖的一种治疗选择，但对于电子健康干预措施在维持体重减轻或预防体重增加方面的有效性，证据不足。
