Health Education and Health Promotion Department, Faculty of Health, Tabriz University of Medical Sciences, Azadi Street, Golgasht Street, Tabriz, Iran; Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Drug Applied Research Center, Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran.
Public Health. 2017 Nov;152:36-46. doi: 10.1016/j.puhe.2017.06.005. Epub 2017 Jul 20.
It was estimated that approximately 60% of the world's population is classified as inactive or insufficiently active. This meta-analysis investigated the effect of web-based interventions on different types of physical activity (PA) measurements in general population and potential moderating variables.
PubMed, CINAHL, EBSCOhost, PsycINFO, Scopus, Ovid, and ScienceDirect literature searches were conducted to identify studies investigating the effect of web-based interventions on PA.
Randomized controlled trials on PA changes reported in moderate to vigorous intensity, walking, and step count in the intervention group in comparison with the control group were pooled with a fixed-effects model separately.
A total of 22 studies comprising 16,476 and 14,475 subjects in intervention and control groups respectively were included. Web-based interventions had positive and significant effect on increasing PA. Of 14 trials reporting moderate to vigorous physical activity (MVPA), five showed a significant increase in the MVPA level after the intervention. There was significant heterogeneity between studies (P < 0.001 and I = 67.8%). Of six trials that reported the number of steps by using the pedometer, three showed a significant increase for the step counts in intervention groups (P < 0.001 and I = 93.3%), of 14 trials assessed PA level by reporting walking minutes per week, four studies showed a significant increase in walking minutes. There was significant heterogeneity between studies (P < 0.001, I = 68.1%). Overall, the effect of web-based interventions seemed to be influenced by the characteristics of mean age of participants, trial duration, and study quality (P < 0.05).
The web-based PA interventions had a positive significant effect on increasing all the three types of PA among the general population. However, the effects appear to depend on the design of the study, age, and duration of studies.
据估计，全球约有 60%的人口被归类为不活跃或活动不足。本荟萃分析研究了基于网络的干预措施对一般人群中不同类型身体活动（PA）测量的影响及其潜在的调节变量。
通过 PubMed、CINAHL、EBSCOhost、PsycINFO、Scopus、Ovid 和 ScienceDirect 文献检索，确定了研究基于网络的干预措施对 PA 影响的研究。
分别采用固定效应模型对干预组与对照组中中度到剧烈强度、步行和步数变化的 PA 变化进行汇总。
共纳入 22 项研究，干预组和对照组分别有 16476 名和 14475 名受试者。基于网络的干预措施对增加 PA 有积极且显著的效果。在 14 项报告中等到剧烈身体活动（MVPA）的试验中，有 5 项显示干预后 MVPA 水平显著增加。研究之间存在显著的异质性（P<0.001，I=67.8%）。在 6 项使用计步器报告步数的试验中，有 3 项显示干预组的步数显著增加（P<0.001，I=93.3%），在 14 项通过报告每周步行分钟数评估 PA 水平的试验中，有 4 项研究显示步行分钟数显著增加。研究之间存在显著的异质性（P<0.001，I=68.1%）。总体而言，基于网络的干预措施的效果似乎受到参与者的平均年龄、试验持续时间和研究质量的特征的影响（P<0.05）。
基于网络的 PA 干预措施对提高一般人群中所有三种类型的 PA 均有显著的积极影响。然而，这些效果似乎取决于研究的设计、年龄和研究的持续时间。
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