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基于 Fitbit 的健康生活方式干预措施的效果:系统评价和荟萃分析。

Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis.

机构信息

École des Sciences de la Gestion, Université du Québec à Montréal, Montreal, QC, Canada.

Research Chair in Digital Health, HEC Montreal, Montreal, QC, Canada.

出版信息

J Med Internet Res. 2020 Oct 12;22(10):e23954. doi: 10.2196/23954.

Abstract

BACKGROUND

Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent, posing formidable challenges in efforts to improve cardiovascular health. While traditional interventions to promote healthy lifestyles are both costly and effective, wearable trackers, especially Fitbit devices, can provide a low-cost alternative that may effectively help large numbers of individuals become more physically fit and thereby maintain a good health status.

OBJECTIVE

The objectives of this meta-analysis are (1) to assess the effectiveness of interventions that incorporate a Fitbit device for healthy lifestyle outcomes (eg, steps, moderate-to-vigorous physical activity, and weight) and (2) to identify which additional intervention components or study characteristics are the most effective at improving healthy lifestyle outcomes.

METHODS

A systematic review was conducted, searching the following databases from 2007 to 2019: MEDLINE, EMBASE, CINAHL, and CENTRAL (Cochrane). Studies were included if (1) they were randomized controlled trials, (2) the intervention involved the use of a Fitbit device, and (3) the reported outcomes were related to healthy lifestyles. The main outcome measures were related to physical activity, sedentary behavior, and weight. All the studies were assessed for risk of bias using Cochrane criteria. A random-effects meta-analysis was conducted to estimate the treatment effect of interventions that included a Fitbit device compared with a control group. We also conducted subgroup analysis and fuzzy-set qualitative comparative analysis (fsQCA) to further disentangle the effects of intervention components.

RESULTS

Our final sample comprised 41 articles reporting the results of 37 studies. For Fitbit-based interventions, we found a statistically significant increase in daily step count (mean difference [MD] 950.54, 95% CI 475.89-1425.18; P<.001) and moderate-to-vigorous physical activity (MD 6.16, 95% CI 2.80-9.51; P<.001), a significant decrease in weight (MD -1.48, 95% CI -2.81 to -0.14; P=.03), and a nonsignificant decrease in objectively assessed and self-reported sedentary behavior (MD -10.62, 95% CI -35.50 to 14.27; P=.40 and standardized MD -0.11, 95% CI -0.48 to 0.26; P=.56, respectively). In general, the included studies were at low risk for bias, except for performance bias. Subgroup analysis and fsQCA demonstrated that, in addition to the effects of the Fitbit devices, setting activity goals was the most important intervention component.

CONCLUSIONS

The use of Fitbit devices in interventions has the potential to promote healthy lifestyles in terms of physical activity and weight. Fitbit devices may be useful to health professionals for patient monitoring and support.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42019145450; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450.

摘要

背景

不健康行为,如身体活动不足、久坐不动的生活方式和不健康的饮食,仍然非常普遍,这对改善心血管健康的努力构成了巨大挑战。虽然传统的促进健康生活方式的干预措施既昂贵又有效,但可穿戴追踪器,特别是 Fitbit 设备,可以提供一种低成本的替代方案,可能有效地帮助大量个人变得更加健康,从而保持良好的健康状态。

目的

本荟萃分析的目的是 (1) 评估包含 Fitbit 设备的干预措施在健康生活方式结果(如步数、中等到剧烈的身体活动和体重)方面的有效性,以及 (2) 确定哪些额外的干预措施或研究特征最能有效改善健康生活方式结果。

方法

进行了系统综述,从 2007 年到 2019 年在以下数据库中进行搜索:MEDLINE、EMBASE、CINAHL 和 CENTRAL(Cochrane)。如果研究符合以下标准,就会被纳入:(1) 它们是随机对照试验,(2) 干预措施涉及使用 Fitbit 设备,以及 (3) 报告的结果与健康生活方式有关。主要结局指标与身体活动、久坐行为和体重有关。所有研究均使用 Cochrane 标准评估偏倚风险。采用随机效应荟萃分析估计包含 Fitbit 设备的干预措施与对照组相比的治疗效果。我们还进行了亚组分析和模糊集定性比较分析(fsQCA),以进一步厘清干预措施的效果。

结果

我们的最终样本包括 41 篇文章,报告了 37 项研究的结果。对于基于 Fitbit 的干预措施,我们发现每日步数(平均差异 [MD] 950.54,95%CI 475.89-1425.18;P<.001)和中等到剧烈的身体活动(MD 6.16,95%CI 2.80-9.51;P<.001)有统计学意义的增加,体重(MD-1.48,95%CI-2.81 至-0.14;P=.03)有显著下降,客观评估和自我报告的久坐行为(MD-10.62,95%CI-35.50 至 14.27;P=.40 和标准化 MD-0.11,95%CI-0.48 至 0.26;P=.56)无显著下降。一般来说,除了绩效偏差外,纳入的研究偏倚风险较低。亚组分析和 fsQCA 表明,除了 Fitbit 设备的影响外,设定活动目标是最重要的干预措施。

结论

在促进健康生活方式方面,使用 Fitbit 设备在身体活动和体重方面具有潜在作用。Fitbit 设备可能对健康专业人员监测和支持患者有用。

注册

PROSPERO 国际前瞻性系统评价注册中心 CRD42019145450;https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9831/7589007/80bb004443a8/jmir_v22i10e23954_fig1.jpg

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