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推荐用于确定消费者可穿戴设备和智能手机计步有效性的标准:INTERLIVE 网络的专家声明和清单。

Recommendations for determining the validity of consumer wearable and smartphone step count: expert statement and checklist of the INTERLIVE network.

机构信息

Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.

School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.

出版信息

Br J Sports Med. 2021 Jul;55(14):780-793. doi: 10.1136/bjsports-2020-103147. Epub 2020 Dec 24.

DOI:10.1136/bjsports-2020-103147
PMID:33361276
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8273687/
Abstract

Consumer wearable and smartphone devices provide an accessible means to objectively measure physical activity (PA) through step counts. With the increasing proliferation of this technology, consumers, practitioners and researchers are interested in leveraging these devices as a means to track and facilitate PA behavioural change. However, while the acceptance of these devices is increasing, the validity of many consumer devices have not been rigorously and transparently evaluated. The Towards Intelligent Health and Well-Being Network of Physical Activity Assessment (INTERLIVE) is a joint European initiative of six universities and one industrial partner. The consortium was founded in 2019 and strives to develop best-practice recommendations for evaluating the validity of consumer wearables and smartphones. This expert statement presents a best-practice consumer wearable and smartphone step counter validation protocol. A two-step process was used to aggregate data and form a scientific foundation for the development of an optimal and feasible validation protocol: (1) a systematic literature review and (2) additional searches of the wider literature pertaining to factors that may introduce bias during the validation of these devices. The systematic literature review process identified 2897 potential articles, with 85 articles deemed eligible for the final dataset. From the synthesised data, we identified a set of six key domains to be considered during design and reporting of validation studies: target population, criterion measure, index measure, validation conditions, data processing and statistical analysis. Based on these six domains, a set of key variables of interest were identified and a 'basic' and 'advanced' multistage protocol for the validation of consumer wearable and smartphone step counters was developed. The INTERLIVE consortium recommends that the proposed protocol is used when considering the validation of any consumer wearable or smartphone step counter. Checklists have been provided to guide validation protocol development and reporting. The network also provide guidance for future research activities, highlighting the imminent need for the development of feasible alternative 'gold-standard' criterion measures for free-living validation. Adherence to these validation and reporting standards will help ensure methodological and reporting consistency, facilitating comparison between consumer devices. Ultimately, this will ensure that as these devices are integrated into standard medical care, consumers, practitioners, industry and researchers can use this technology safely and to its full potential.

摘要

消费者可穿戴设备和智能手机为客观测量身体活动 (PA) 提供了一种便捷的方法,通过计步来实现。随着这项技术的日益普及,消费者、从业者和研究人员都有兴趣利用这些设备来跟踪和促进 PA 行为的改变。然而,尽管这些设备的接受度在不断提高,但许多消费者设备的有效性还没有经过严格和透明的评估。INTERLIVE(身体活动评估智能健康与福祉网络)是一个由六所大学和一家工业合作伙伴组成的联合欧洲倡议。该联盟成立于 2019 年,旨在为评估消费者可穿戴设备和智能手机的有效性制定最佳实践建议。本专家声明提出了一个最佳实践的消费者可穿戴设备和智能手机计步器验证方案。该方案采用两步法来汇总数据并为开发最佳和可行的验证方案奠定科学基础:(1) 系统文献回顾和 (2) 对与这些设备验证过程中可能引入偏差相关的更广泛文献的额外搜索。系统文献回顾过程确定了 2897 篇潜在文章,其中 85 篇被认为符合最终数据集的标准。从综合数据中,我们确定了在设计和报告验证研究时需要考虑的六个关键领域:目标人群、标准测量、指标测量、验证条件、数据处理和统计分析。基于这六个领域,确定了一组感兴趣的关键变量,并为消费者可穿戴设备和智能手机计步器的验证开发了一个“基本”和“高级”多阶段方案。INTERLIVE 联盟建议在考虑验证任何消费者可穿戴设备或智能手机计步器时使用该方案。已提供检查表以指导验证方案的开发和报告。该网络还为未来的研究活动提供指导,突出强调迫切需要开发可行的替代“金标准”自由生活验证标准。遵守这些验证和报告标准将有助于确保方法学和报告的一致性,促进消费者设备之间的比较。最终,这将确保这些设备被整合到标准医疗护理中时,消费者、从业者、行业和研究人员可以安全地使用这项技术并充分发挥其潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/b728af3fd532/bjsports-2020-103147f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/d148aab5a0bd/bjsports-2020-103147f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/68b797df2a65/bjsports-2020-103147f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/b728af3fd532/bjsports-2020-103147f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/d148aab5a0bd/bjsports-2020-103147f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/68b797df2a65/bjsports-2020-103147f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf6f/8273687/b728af3fd532/bjsports-2020-103147f03.jpg

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