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使用健身追踪器改变成年人身体活动行为:系统评价和荟萃分析。

Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis.

机构信息

Exercise Science, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.

The Northern Health, Melbourne, Victoria, Australia.

出版信息

Am J Health Promot. 2020 May;34(4):418-430. doi: 10.1177/0890117119895204. Epub 2019 Dec 20.

Abstract

OBJECTIVE

To examine whether a fitness tracker (FT) intervention changes physical activity (PA) behavior compared to a control condition or compared to an alternative intervention.

DATA SOURCE

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.

DATA EXTRACTION

Extracted features included characteristics of the study population, intervention components, PA outcomes, and results.

DATA SYNTHESIS

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.

RESULTS

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.

CONCLUSION

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.

摘要

目的

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。

资料来源

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。

资料提取

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。

资料综合

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。

结果

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)。

结论

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。

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