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身体活动、久坐行为和睡眠监测:一种新型测量系统的开发与可行性评估方案

The Surveillance of Physical Activity, Sedentary Behavior, and Sleep: Protocol for the Development and Feasibility Evaluation of a Novel Measurement System.

作者信息

Crowley Patrick, Ikeda Erika, Islam Sheikh Mohammed Shariful, Kildedal Rasmus, Schade Jacobsen Sandra, Roslyng Larsen Jon, Johansson Peter J, Hettiarachchi Pasan, Aadahl Mette, Mork Paul Jarle, Straker Leon, Stamatakis Emmanuel, Holtermann Andreas, Gupta Nidhi

机构信息

The National Research Centre for the Working Environment, Copenhagen, Denmark.

Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.

出版信息

JMIR Res Protoc. 2022 Jun 6;11(6):e35697. doi: 10.2196/35697.

DOI:10.2196/35697
PMID:35666571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9210205/
Abstract

BACKGROUND

There is increasing recognition of the need for more comprehensive surveillance data, including information on physical activity of all intensities, sedentary behavior, and sleep. However, meeting this need poses significant challenges for current surveillance systems, which are mainly reliant on self-report.

OBJECTIVE

The primary objective of this project is to develop and evaluate the feasibility of a sensor-based system for use in the surveillance of physical activity, sedentary behavior, and sleep (SurPASS) at a national level in Denmark.

METHODS

The SurPASS project involves an international, multidisciplinary team of researchers collaborating with an industrial partner. The SurPASS system consists of (1) a thigh-worn accelerometer with Bluetooth connectivity, (2) a smartphone app, (3) an integrated back end, facilitating the automated upload, analysis, storage, and provision of individualized feedback in a manner compliant with European Union regulations on data privacy, and (4) an administrator web interface (web application) to monitor progress. The system development and evaluation will be performed in 3 phases. These phases will include gathering user input and specifications (phase 1), the iterative development, evaluation, and refinement of the system (phase 2), and the feasibility evaluation (phase 3).

RESULTS

The project started in September 2020 and completed phase 2 in February 2022. Phase 3 began in March 2022 and results will be made available in 2023.

CONCLUSIONS

If feasible, the SurPASS system could be a catalyst toward large-scale, sensor-based surveillance of physical activity, sedentary behavior, and sleep. It could also be adapted for cohort and interventional research, thus contributing to the generation of evidence for both interventions and public health policies and recommendations.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35697.

摘要

背景

人们越来越认识到需要更全面的监测数据,包括各种强度身体活动、久坐行为和睡眠方面的信息。然而,满足这一需求对当前主要依赖自我报告的监测系统构成了重大挑战。

目的

本项目的主要目标是开发并评估一种基于传感器的系统在丹麦全国范围内用于监测身体活动、久坐行为和睡眠(SurPASS)的可行性。

方法

SurPASS项目涉及一个国际多学科研究团队与一个行业合作伙伴合作。SurPASS系统包括:(1)一款具有蓝牙连接功能的大腿佩戴式加速度计;(2)一个智能手机应用程序;(3)一个集成后端,以符合欧盟数据隐私法规的方式促进自动上传、分析、存储和提供个性化反馈;(4)一个管理员网络界面(网络应用程序)以监测进展情况。系统开发和评估将分三个阶段进行。这些阶段将包括收集用户输入和规格(第一阶段)、系统的迭代开发、评估和完善(第二阶段)以及可行性评估(第三阶段)。

结果

该项目于2020年9月启动,并于2022年2月完成第二阶段。第三阶段于2022年3月开始,结果将于2023年公布。

结论

如果可行,SurPASS系统可能成为大规模基于传感器的身体活动、久坐行为和睡眠监测的催化剂。它还可适用于队列研究和干预性研究,从而有助于为干预措施以及公共卫生政策和建议提供证据。

国际注册报告识别号(IRRID):DERR1-10.2196/35697。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/453a8d336c6d/resprot_v11i6e35697_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/b76d93238eef/resprot_v11i6e35697_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/3a533594fb17/resprot_v11i6e35697_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/b7c4ae054711/resprot_v11i6e35697_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/453a8d336c6d/resprot_v11i6e35697_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/b76d93238eef/resprot_v11i6e35697_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/3a533594fb17/resprot_v11i6e35697_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/b7c4ae054711/resprot_v11i6e35697_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97b6/9210205/453a8d336c6d/resprot_v11i6e35697_fig4.jpg

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Sensors (Basel). 2021 Jan 29;21(3):904. doi: 10.3390/s21030904.
3
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Sensors (Basel). 2024 Oct 18;24(20):6705. doi: 10.3390/s24206705.
4
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5
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6
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PLoS One. 2023 Oct 3;18(10):e0292261. doi: 10.1371/journal.pone.0292261. eCollection 2023.
7
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7
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