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

Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis.
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基于FITBIT的健康生活方式干预措施:系统评价和荟萃分析。

DOI:
10.2196/23954
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发表时间:
2020-10-12
影响因子:
7.4
通讯作者:
Kitsiou S
Kitsiou S
中科院分区:
医学2区
文献类型:
--
作者:
Ringeval M;Wagner G;Denford J;Paré G;Kitsiou S

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不健康的行为,如缺乏身体活动、久坐的生活方式和不健康的饮食,仍然非常普遍,对改善心血管健康的努力构成了巨大的挑战。虽然促进健康生活方式的传统干预措施既昂贵又有效,但可穿戴追踪器,尤其是 Fitbit 设备,可以提供一种低成本的替代方案,可以有效帮助大量个人变得更加健康,从而保持良好的健康状态。本荟萃分析的目的是 (1) 评估包含 Fitbit 设备的干预措施对健康生活方式结果(例如步数、中度至剧烈身体活动和体重)的有效性,以及 (2) 确定哪些额外干预措施或研究特征对于改善健康生活方式结果最有效。我们进行了系统评价,检索了 2007 年至 2019 年的以下数据库:MEDLINE、EMBASE、CINAHL 和 CENTRAL (Cochrane)。如果 (1) 是随机对照试验,(2) 干预涉及使用 Fitbit 设备,以及 (3) 报告的结果与健康生活方式相关,则研究被纳入。主要结果指标与体力活动、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。我们进行了一项随机效应荟萃分析,以评估包含 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),以进一步理清干预成分的影响。我们的最终样本包含 41 篇文章,报告了 37 项研究的结果。对于基于 Fitbit 的干预措施,我们发现每日步数显着增加(平均差 [MD] 950.54,95% CI 475.89-1425.18;P<.001)和中度至剧烈体力活动(MD 6.16,95% CI 2.80-9.51;P<.001),体重显着下降(MD -1.48,P<.001)。 95% CI -2.81 至 -0.14;P=.03),客观评估和自我报告的久坐行为无显着下降(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)。一般来说,除了表现偏倚之外,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。在干预中使用 Fitbit 设备有可能促进身体活动和体重方面的健康生活方式。 Fitbit 设备可能有助于健康专业人员进行患者监测和支持。 PROSPERO 国际前瞻性系统评价登记册 CRD42019145450; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450
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. 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. 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. 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. 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. PROSPERO International Prospective Register of Systematic Reviews CRD42019145450; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450
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