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首页> 外文期刊>Journal of medical Internet research >Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis
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Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis

机译:基于Web的针对超重和肥胖成年人的减肥和生活方式习惯变化的数字健康干预措施:系统评价和荟萃分析

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BackgroundObesity is a highly prevalent condition with important health implications. Face-to-face interventions to treat obesity demand a large number of human resources and time, generating a great burden to individuals and health system. In this context, the internet is an attractive tool for delivering weight loss programs due to anonymity, 24-hour-accessibility, scalability, and reachability associated with Web-based programs.ObjectiveWe aimed to investigate the effectiveness of Web-based digital health interventions, excluding hybrid interventions and non-Web-based technologies such as text messaging, short message service, in comparison to nontechnology active or inactive (wait list) interventions on weight loss and lifestyle habit changes in individuals with overweight and obesity.MethodsWe searched PubMed or Medline, SciELO, Lilacs, PsychNet, and Web of Science up to July 2018, as well as references of previous reviews for randomized trials that compared Web-based digital health interventions to offline interventions. Anthropometric changes such as weight, body mass index (BMI), waist, and body fat and lifestyle habit changes in adults with overweight and obesity were the outcomes of interest. Random effects meta-analysis and meta-regression were performed for mean differences (MDs) in weight. We rated the risk of bias for each study and the quality of evidence across studies using the Grades of Recommendation, Assessment, Development, and Evaluation approach.ResultsAmong the 4071 articles retrieved, 11 were included. Weight (MD ?0.77 kg, 95% CI ?2.16 to 0.62; 1497 participants; moderate certainty evidence) and BMI (MD ?0.12 kg/m2; 95% CI ?0.64 to 0.41; 1244 participants; moderate certainty evidence) changes were not different between Web-based and offline interventions. Compared to offline interventions, digital interventions led to a greater short-term (<6 months follow-up) weight loss (MD ?2.13 kg, 95% CI ?2.71 to ?1.55; 393 participants; high certainty evidence), but not in the long-term (MD ?0.17 kg, 95% CI ?2.10 to 1.76; 1104 participants; moderate certainty evidence). Meta-analysis was not possible for lifestyle habit changes. High risk of attrition bias was identified in 5 studies. For weight and BMI outcomes, the certainty of evidence was moderate mainly due to high heterogeneity, which was mainly attributable to control group differences across studies ( R ~(2)=79%).ConclusionsWeb-based digital interventions led to greater short-term but not long-term weight loss than offline interventions in overweight and obese adults. Heterogeneity was high across studies, and high attrition rates suggested that engagement is a major issue in Web-based interventions.
机译:背景肥胖症是一种高度流行的疾病,对健康有重要影响。面对肥胖症的面对面干预需要大量的人力资源和时间,给个人和卫生系统带来沉重负担。在这种情况下,由于基于Web的程序具有匿名性,24小时可访问性,可伸缩性和可访问性,因此Internet是提供减肥计划的有吸引力的工具。目的我们旨在研究基于Web的数字健康干预措施的有效性,与针对超重和肥胖个体的减肥和生活方式习惯改变的非技术性活动或非活动性(等待名单)干预措施相比,不包括混合干预措施和非Web技术(例如短信,短信服务),我们搜索PubMed或Medline ,截止至2018年7月的SciELO,Lilacs,PsychNet和Web of Science,以及之前对随机对照试验的评论的参考文献,这些试验将基于Web的数字健康干预与离线干预进行了比较。有趣的是,体重过重和肥胖的成年人的体重,体重指数(BMI),腰围和体脂等人体测量学变化以及生活方式的改变。对体重的均数差(MDs)进行随机效应的荟萃分析和荟萃回归。我们使用推荐,评估,发展和评估等级对每项研究的偏倚风险和证据质量进行了评估。结果共检索到4071篇文章中的11篇。体重(MD≤0.77公斤,95%CI≤2.16至0.62; 1497名参与者;中度确定性证据)和BMI(MD≤0.12 kg / m2; 95%CI≤0.64至0.41; 1244名参与者;中度确定性证据)改变基于Web的干预和脱机干预之间的区别。与离线干预相比,数字干预导致短期(<6个月随访)体重减轻更大(MD≤2.13kg,95%CI≤2.71至≤1.55; 393名参与者;高确定性证据),但并非如此。长期(MD≤0.17kg,95%CI≤2.10至1.76; 1104名参与者;中度确定性证据)。不能对生活方式的改变进行荟萃分析。在5项研究中发现了流失偏倚的高风险。对于体重和BMI结局,证据的确定性中等,主要是由于高度异质性,这主要归因于研究之间的对照组差异(R〜(2)= 79%)。结论基于Web的数字干预导致短期内更大的干预但不是长期减肥,而是对超重和肥胖成年人进行离线干预。跨研究的异质性很高,而且流失率高表明参与是基于Web的干预措施中的主要问题。

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