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基于消费者的可穿戴活动追踪器可提高身体活动参与度:系统评价和荟萃分析。

Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.

机构信息

School of Health Science, College of Health and Medicine, University of Tasmania, Newnham, Australia.

出版信息

JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819. doi: 10.2196/11819.


DOI:10.2196/11819
PMID:30977740
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6484266/
Abstract

BACKGROUND: The range of benefits associated with regular physical activity participation is irrefutable. Despite the well-known benefits, physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries. Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation; however, physical activity levels tend to decline over time. Consumer-based wearable activity trackers that allow users to objectively monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active. OBJECTIVE: This review aimed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback. METHODS: A systematic review was performed searching the following databases for studies that included the use of a consumer-based wearable activity tracker to improve physical activity participation: Cochrane Controlled Register of Trials, MEDLINE, PubMed, Scopus, Web of Science, Cumulative Index of Nursing and Allied Health Literature, SPORTDiscus, and Health Technology Assessments. Controlled trials of adults comparing the use of a consumer-based wearable activity tracker with other nonactivity tracker-based interventions were included. The main outcome measures were physical activity participation and sedentary behavior. All studies were assessed for risk of bias, and the Grades of Recommendation, Assessment, Development, and Evaluation system was used to rank the quality of evidence. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were followed. A random-effects meta-analysis was completed on the included outcome measures to estimate the treatment effect of interventions that included an activity tracker compared with a control group. RESULTS: There was a significant increase in daily step count (standardized mean difference [SMD] 0.24; 95% CI 0.16 to 0.33; P<.001), moderate and vigorous physical activity (SMD 0.27; 95% CI 0.15 to 0.39; P<.001), and energy expenditure (SMD 0.28; 95% CI 0.03 to 0.54; P=.03) and a nonsignificant decrease in sedentary behavior (SMD -0.20; 95% CI -0.43 to 0.03; P=.08) following the intervention versus control comparator across all studies in the meta-analyses. In general, included studies were at low risk of bias, except for performance bias. Heterogeneity varied across the included meta-analyses ranging from low (I=3%) for daily step count through to high (I=67%) for sedentary behavior. CONCLUSIONS: Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation. As the effects of physical activity interventions are often short term, the inclusion of a consumer-based wearable activity tracker may provide an effective tool to assist health professionals to provide ongoing monitoring and support.

摘要

背景:定期进行身体活动带来的益处是不容置疑的。尽管有明显的益处,但在工业化国家,身体活动不足仍然是导致健康状况不佳的主要因素之一。传统的生活方式干预措施,如小组教育或电话咨询,在增加身体活动参与度方面非常有效;然而,身体活动水平往往会随着时间的推移而下降。现在,消费者可购买的活动追踪器可让用户客观地监测活动水平,这可能是帮助人们保持身体活跃的另一种方法。

目的:本综述旨在确定使用基于消费者的可穿戴活动追踪器的干预措施与不使用活动追踪器反馈的干预措施相比,对身体活动参与度和久坐行为的影响。

方法:系统检索了以下数据库,以查找使用消费者可穿戴活动追踪器来提高身体活动参与度的研究:Cochrane 对照试验注册库、MEDLINE、PubMed、Scopus、Web of Science、护理学和联合健康文献累积索引、SPORTDiscus 和卫生技术评估。纳入了比较使用消费者可穿戴活动追踪器与其他非活动追踪器为基础的干预措施的成人对照试验。主要结局指标是身体活动参与度和久坐行为。所有研究均进行了偏倚风险评估,并使用推荐、评估、开发和评估系统(Grades of Recommendation, Assessment, Development, and Evaluation system)对证据质量进行分级。遵循系统评价和荟萃分析报告的首选项目声明的指南。对纳入的结局指标进行了随机效应荟萃分析,以估计包括活动追踪器的干预措施与对照组相比的治疗效果。

结果:在每日步数(标准化均数差 [SMD] 0.24;95%置信区间 [CI] 0.16 至 0.33;P<.001)、中等到剧烈体力活动(SMD 0.27;95% CI 0.15 至 0.39;P<.001)和能量消耗(SMD 0.28;95% CI 0.03 至 0.54;P=.03)方面,与对照组相比,干预组有显著增加,而在久坐行为方面(SMD -0.20;95% CI -0.43 至 0.03;P=.08)无显著减少。总的来说,除了实施偏倚外,纳入的研究偏倚风险较低。纳入的荟萃分析中的异质性从每日步数的低(I=3%)到久坐行为的高(I=67%)不等。

结论:将基于消费者的可穿戴活动追踪器用作干预措施的主要组成部分或作为更广泛的身体活动干预措施的一部分,有可能增加身体活动参与度。由于身体活动干预措施的效果通常是短期的,因此包括基于消费者的可穿戴活动追踪器可能是一种有效的工具,可以帮助卫生专业人员提供持续的监测和支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/e6fa7eba8771/mhealth_v7i4e11819_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/1f01f7a6f85d/mhealth_v7i4e11819_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/6956991bfa08/mhealth_v7i4e11819_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/cec0d9843877/mhealth_v7i4e11819_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/71521f07a6cf/mhealth_v7i4e11819_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/99d2c78e07d8/mhealth_v7i4e11819_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/e6fa7eba8771/mhealth_v7i4e11819_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/1f01f7a6f85d/mhealth_v7i4e11819_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/6956991bfa08/mhealth_v7i4e11819_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/cec0d9843877/mhealth_v7i4e11819_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/71521f07a6cf/mhealth_v7i4e11819_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/99d2c78e07d8/mhealth_v7i4e11819_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d8/6484266/e6fa7eba8771/mhealth_v7i4e11819_fig6.jpg

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