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mHealth technologies to influence physical activity and sedentary behaviors: behavior change techniques, systematic review and meta-analysis of randomized controlled trials

机译:影响身体活动和久坐行为的mHealth技术:行为改变技术,随机对照试验的系统评价和荟萃分析

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摘要

mHealth programs offer potential for practical and cost-effective delivery of interventions capable of reaching many individuals. To (1) compare the effectiveness of mHealth interventions to promote physical activity (PA) and reduce sedentary behavior (SB) in free-living young people and adults with a comparator exposed to usual care/minimal intervention; (2) determine whether, and to what extent, such interventions affect PA and SB levels and (3) use the taxonomy of behavior change techniques (BCTs) to describe intervention characteristics. A systematic review and meta-analysis following PRISMA guidelines was undertaken to identify randomized controlled trials (RCTs) comparing mHealth interventions with usual or minimal care among individuals free from conditions that could limit PA. Total PA, moderate-to-vigorous intensity physical activity (MVPA), walking and SB outcomes were extracted. Intervention content was independently coded following the 93-item taxonomy of BCTs. Twenty-one RCTs (1701 participants-700 with objectively measured PA) met eligibility criteria. SB decreased more following mHealth interventions than after usual care (standardised mean difference (SMD) -0.26, 95 % confidence interval (CI) -0.53 to -0.00). Summary effects across studies were small to moderate and non-significant for total PA (SMD 0.14, 95 % CI -0.12 to 0.41); MVPA (SMD 0.37, 95 % CI -0.03 to 0.77); and walking (SMD 0.14, 95 % CI -0.01 to 0.29). BCTs were employed more frequently in intervention (mean = 6.9, range 2 to 12) than in comparator conditions (mean = 3.1, range 0 to 10). Of all BCTs, only 31 were employed in intervention conditions. Current mHealth interventions have small effects on PA/SB. Technological advancements will enable more comprehensive, interactive and responsive intervention delivery. Future mHealth PA studies should ensure that all the active ingredients of the intervention are reported in sufficient detail.
机译:mHealth计划为切实可行和具有成本效益的干预措施提供了潜力,能够使许多人受益。 (1)比较在接受一般护理/最低干预措施的比较者的情况下,mHealth干预措施在自由活动的年轻人和成年人中促进身体活动(PA)和减少久坐行为(SB)的有效性; (2)确定此类干预措施是否以及在多大程度上影响PA和SB的水平,以及(3)使用行为改变技术(BCT)的分类法来描述干预措施的特征。遵循PRISMA指南进行了系统的回顾和荟萃分析,以识别随机对照试验(RCT),以比较在没有可能限制PA的疾病的个体中,将mHealth干预与常规或最小护理进行比较。提取总PA,中度至剧烈强度的体育活动(MVPA),步行和SB结果。干预内容按照BCT的93个项目分类标准进行了独立编码。符合资格标准的二十一RCT(1701名参与者-700名具有客观测量的PA)。经过mHealth干预后,SB的下降要比平常护理后下降更多(标准平均差(SMD)-0.26,95%置信区间(CI)-0.53至-0.00)。整个研究的总影响从小到中等,对总PA的影响不显着(SMD 0.14,95%CI -0.12至0.41); MVPA(SMD 0.37,95%CI -0.03至0.77);和步行(SMD 0.14,95%CI -0.01至0.29)。 BCT在干预措施中的使用频率(平均值= 6.9,范围2到12)比在比较者条件下(平均值= 3.1,范围0到10)更频繁。在所有BCT中,只有31个被雇用用于干预条件。当前的mHealth干预措施对PA / SB的影响很小。技术的进步将使更全面,交互式和响应迅速的干预交付成为可能。未来的mHealth PA研究应确保足够详细地报告干预措施的所有有效成分。

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