Exercise Science, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
The Northern Health, Melbourne, Victoria, Australia.
Am J Health Promot. 2020 May;34(4):418-430. doi: 10.1177/0890117119895204. Epub 2019 Dec 20.
To examine whether a fitness tracker (FT) intervention changes physical activity (PA) behavior compared to a control condition or compared to an alternative intervention.
Searches between January 01, 2010, and January 01, 2019, were conducted in PubMed, CINAHL, Cochrane CENTRAL, EMBASE, and PsycINFO.
INCLUSION/EXCLUSION CRITERIA: Randomized clinical trials of adults using an FT to change PA behavior were included. Nonclinical trials, studies that included the delivery of structured exercise, and/or studies that only used the FT to assess PA were excluded.
Extracted features included characteristics of the study population, intervention components, PA outcomes, and results.
Papers were pooled in a statistical meta-analysis using a fixed effects model. Where statistical pooling was not possible, standardized mean difference (SMD) and 95% confidence intervals (CI) were calculated. Findings were presented in a narrative form and tables.
Of 2076 articles found, 21 were included in the review. A small yet significant positive effect (SMD = 0.25, 95% CI = 0.17-0.32; < .01; = 56.9%; = .03) was found in step count for interventions compared to control. A small yet significant negative effect (SMD = -0.11, 95% CI = -0.20 to -0.02; = .02; = 58.2%; = 0.03) was found in moderate-to-vigorous PA for interventions compared to an alternative intervention.
Trackers may enhance PA interventions, as a general positive effect is found in step count compared to a control. However, there is no evidence of a positive effect when interventions are compared to an alternative intervention. It is unknown whether results are due to other intervention components and/or clinical heterogeneity.
检验健身追踪器(FT)干预与对照条件或替代干预相比是否能改变身体活动(PA)行为。
于 2010 年 1 月 1 日至 2019 年 1 月 1 日,在 PubMed、CINAHL、Cochrane CENTRAL、EMBASE 和 PsycINFO 中进行了检索。
纳入/排除标准:纳入了使用 FT 改变 PA 行为的成人随机临床试验。排除了非临床试验、包含结构化运动的研究以及/或仅使用 FT 评估 PA 的研究。
提取的特征包括研究人群特征、干预组成部分、PA 结果和结果。
使用固定效应模型对论文进行了统计学荟萃分析。在无法进行统计学汇总的情况下,计算了标准化均数差(SMD)和 95%置信区间(CI)。结果以叙述形式和表格呈现。
在 2076 篇文章中,有 21 篇被纳入综述。与对照组相比,干预组的步数有一个小但显著的积极影响(SMD=0.25,95%CI=0.17-0.32;<0.01;=56.9%;=0.03)。与替代干预相比,干预组中中度至剧烈 PA 有一个小但显著的负效应(SMD=-0.11,95%CI=-0.20 至-0.02;=0.02;=58.2%;=0.03)。
追踪器可能会增强 PA 干预,因为与对照组相比,步数有一个普遍的积极影响。然而,当干预与替代干预相比时,没有证据表明有积极的影响。不知道结果是由于其他干预组成部分和/或临床异质性造成的。