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基于互联网的肥胖行为干预:一项更新的系统评价。

Internet-based behavioral interventions for obesity: an updated systematic review.

作者信息

Manzoni Gian Mauro, Pagnini Francesco, Corti Stefania, Molinari Enrico, Castelnuovo Gianluca

机构信息

Istituto Auxologico Italiano IRCCS, Psychology Research Laboratory, Ospedale San Giuseppe, Verbania, Italy.

出版信息

Clin Pract Epidemiol Ment Health. 2011 Mar 4;7:19-28. doi: 10.2174/1745017901107010019.

Abstract

The objective of this systematic review is to update a previous systematic review on the effectiveness of internet-based interventions for weight loss and weight loss maintenance in overweight and obese people with new or additional studies. A literature search from 2008 to March 2010 was conducted. Studies were eligible for inclusion if: participants were adults with a body mass index ≤ 25, at least one study arm involved an internet-based intervention and the primary aims were weight loss or maintenance. Eight additional studies over the eighteen included in the previous review met the inclusion criteria. Data were extracted on sample characteristics, attrition, weight loss, duration of treatment and maintenance of weight loss. Effect sizes (Hedges g) and relative 95% confidence intervals were calculated for all two-way comparisons within each study. No attempt was made to pool the data in a meta-analysis because of the great heterogeneity of designs among studies. An examination of effect sizes show that the higher significant effects pertain studies that found a superiority of behavioral internet-based programs enhanced by features such as tailored feedback on self-monitoring of weight, eating and activity over education only internet-based interventions. However, control groups are very different among studies and this heterogeneity probably accounts for much of the variance in effect sizes. Hence, questions still remain as to the effectiveness of web-based interventions in achieving weight loss or maintenance. Implications for further research include using a "real" control group in order to make meta-analysis possible and developing multi-factorial design in order to separate components of interventions and identify which of them or patterns of them are keys to success.

摘要

本系统评价的目的是通过新的或补充性研究,更新之前关于基于互联网的干预措施对超重和肥胖人群体重减轻及体重维持效果的系统评价。我们进行了2008年至2010年3月的文献检索。符合纳入标准的研究需满足以下条件:参与者为体重指数≤25的成年人,至少有一个研究组采用基于互联网的干预措施,且主要目的是体重减轻或维持。在前次评价纳入的18项研究基础上,又有8项研究符合纳入标准。我们提取了样本特征、损耗情况、体重减轻、治疗持续时间以及体重维持的数据。对每项研究中的所有双向比较计算效应量(Hedges g)和相对95%置信区间。由于各研究设计存在很大异质性,未尝试进行荟萃分析合并数据。对效应量的检查表明,较高的显著效应出现在那些发现基于互联网的行为项目具有优势的研究中,这些项目通过诸如对体重、饮食和活动自我监测的量身定制反馈等特征得到增强,优于仅基于互联网的教育干预措施。然而,各研究中的对照组差异很大,这种异质性可能是效应量差异的主要原因。因此,基于网络的干预措施在实现体重减轻或维持方面的有效性仍然存在疑问。对进一步研究的启示包括使用“真实”对照组以便进行荟萃分析,并开展多因素设计以分离干预措施的各个组成部分,确定其中哪些或哪些模式是成功的关键。

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