Validity and Utility of Consumer-based Wearable Fitness Trackers to Monitor Free-Living Physical Activity Energy Expenditure and Sleep in Children 5-12 Years Old
基于消费者的可穿戴健身追踪器监测 5-12 岁儿童自由体力活动能量消耗和睡眠的有效性和实用性
基本信息
- 批准号:10596651
- 负责人:
- 金额:$ 63.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-01 至 2027-01-31
- 项目状态:未结题
- 来源:
- 关键词:12 year oldAccelerationAccelerometerAdultAgeAlgorithmsBehaviorBiometryChestChildClinicalCollectionComplexDataDevicesElderlyElectrocardiogramEnergy MetabolismEpidemiologyEquationGait abnormalityGoalsHealthHeart RateHourIndirect CalorimetryInterventionIntervention StudiesLaboratoriesLearningLinkMachine LearningMeasurementMeasuresMethodsMonitorMovementNatureOutcomeOutputPatternPersonsPhotoplethysmographyPhysical activityPhysical assessmentPolysomnographyPopulationProcessProtocols documentationResearchResearch PersonnelResearch PrioritySeriesSignal TransductionSleepSleep DisordersStatistical ModelsTechniquesTechnologyTelemetryTestingTimeUnited States National Institutes of HealthValidationVisionYouthactigraphyapplication programming interfacebattery lifedesigndesign verificationepidemiology studyexperiencefitbitfitnessimprovedinnovationmotion sensorneuromuscularonline repositoryopen sourcesedentarysleep behaviorvalidation studieswearable devicewearable sensor technology
项目摘要
Accurate measurement of free-living physical activity (PA), energy expenditure (EE), and sleep of children (5-12yrs) is
complex, with no single method free of limitations. Validation studies of PA, EE, and sleep have demonstrated that
combining HR and accelerometry data (e.g., steps, counts, raw signal) provides the most accurate estimate of PA, EE,
and sleep. Unfortunately, the simultaneous collection of HR and accelerometry over routine monitoring timeframes (e.g.,
7 days) has been limited because historically measuring HR has relied on uncomfortable chest strap telemetry.
Advancements in wearable technology have eliminated this issue by incorporating the noninvasive assessment of HR
via photoplethysmography in widely-available consumer wearable devices (e.g., FitBits, Garmin) that also include
accelerometry. Studies have shown that HR estimates from consumer wearables are comparable to those collected via
ECG or chest strap telemetry. However, validation studies of consumer wearables have focused almost exclusively on
proprietary activity output (e.g., steps) and have mostly been conducted on healthy adults, older adults, or clinical
populations (e.g., people with neuromuscular or gait abnormalities). Consumer wearables hold promise for collecting
PA, EE, and sleep data with children 5 to 12yrs, yet no studies have been conducted to establish their validity and
utility/feasibility in this population. The objectives of the proposed project are to conduct a series of studies that include
both laboratory and field-based protocols to evaluate the reliability, validity and utility/feasibility of consumer wearables
for measuring children’s PA, EE, and sleep in free-living conditions. We will evaluate the different features of the devices
(e.g., PA, HR) in the lab and in real-world conditions. In addition, we will evaluate the utility/feasibility of consumer
wearables for multi-day wear compliance. We will accomplish the following aims. Aim 1. Develop and validate open-
source equations to estimate PAEE and time spent physically active using the activity and HR data from consumer
wearables compared to the PAEE output from the consumer wearables’ proprietary processing algorithms and a
criterion measure of PAEE (i.e., indirect calorimetry). Aim 2. Develop and validate open-source equations to estimate
total sleep time, sleep efficiency, and timing from consumer wearables using their activity and HR data compared to the
sleep output from the consumer wearables’ proprietary processing algorithms and a criterion measure of sleep (i.e.,
PSG and actigraphy). Aim 3. Evaluate the validity of the PAEE and sleep equation estimates from the algorithms created
in Aim 1 & 2 against a criterion (i.e., Actiheart) under free-living conditions. This project is significant because it will be
among the first to establish the validity of consumer wearables for PAEE and sleep monitoring of children. This project
is innovative as it will use advanced statistical modeling techniques, including machine learning, to systematically test
the validity and utility/feasibility of consumer wearables for children. Our vision is to leverage the biometric data collected
across consumer wearables to produce estimates of PAEE and sleep in children. This will allow practitioners and
researchers alike to more accurately measure 24-hour movement behaviors in children.
准确测量儿童(5- 12岁)的自由生活体力活动(PA)、能量消耗(EE)和睡眠,
复杂,没有一种方法是没有局限性的。PA、EE和睡眠的验证研究表明,
组合HR和加速度测量数据(例如,步骤、计数、原始信号)提供PA、EE
睡觉不幸的是,在常规监测时间范围内同时收集HR和加速度测量(例如,
7天),因为历史上测量HR依赖于不舒服的胸带遥测。
可穿戴技术的进步已经通过纳入HR的非侵入性评估消除了这个问题
经由广泛可用的消费者可穿戴设备中的光电体积描记术(例如,FitBits、Garmin),其中还包括
加速度测量法研究表明,来自消费者可穿戴设备的人力资源估计与通过
心电图或胸带遥测。然而,消费者可穿戴设备的验证研究几乎完全集中在
专有活动输出(例如,步骤),并且大多在健康成人、老年人或临床
群体(例如,有神经肌肉或步态异常的人)。消费者可穿戴设备有望收集
5至12岁儿童的PA、EE和睡眠数据,但尚未进行研究以确定其有效性,
在这一人群中的实用性/可行性。拟议项目的目标是进行一系列研究,包括
实验室和现场协议,以评估消费者可穿戴设备的可靠性,有效性和实用性/可行性
用于测量儿童在自由生活条件下的PA、EE和睡眠。我们将评估设备的不同功能
(e.g., PA,HR)在实验室和现实世界条件下。此外,我们将评估消费者的实用性/可行性
可穿戴设备,实现多日佩戴合规性。我们将实现以下目标。目标1。开发和验证开放式-
使用来自消费者的活动和HR数据估计PAEE和体力活动时间的源方程
与消费者可穿戴设备专有处理算法的PAEE输出相比,
PAEE的标准测量(即,间接量热法)。目标2.开发并验证开源方程,
总睡眠时间,睡眠效率,以及消费者可穿戴设备使用其活动和HR数据与
来自消费者可穿戴设备的专有处理算法的睡眠输出和睡眠的标准测量(即,
PSG和体动计)。目标3。根据创建的算法评估PAEE和睡眠方程估计值的有效性
在目标1和目标2中,在自由生活的条件下。这个项目意义重大,因为它将是
是第一批确定消费者可穿戴设备对PAEE和儿童睡眠监测的有效性的公司之一。这个项目
具有创新性,因为它将使用先进的统计建模技术(包括机器学习)来系统地测试
儿童可穿戴消费品的有效性和实用性/可行性。我们的愿景是利用收集到的生物特征数据
在消费者可穿戴设备中进行测试,以评估PAEE和儿童睡眠。这将使从业人员和
研究人员希望更准确地测量儿童24小时的运动行为。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Robert G Weaver其他文献
Attributable costs and length of stay of hospital-acquired Clostridioides difficile: A population-based matched cohort study in Alberta, Canada
医院获得性艰难梭菌的可归因费用和住院时间:加拿大艾伯塔省一项基于人群的匹配队列研究
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:4.5
- 作者:
J. Leal;J. Conly;Robert G Weaver;James P. Wick;E. Henderson;B. Manns;P. Ronksley - 通讯作者:
P. Ronksley
Access to primary care and other health care use among western Canadians with chronic conditions: a population-based survey.
患有慢性病的加拿大西部人获得初级保健和其他医疗保健的情况:一项基于人口的调查。
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Robert G Weaver;B. Manns;M. Tonelli;C. Sanmartin;D. Campbell;P. Ronksley;R. Lewanczuk;T. Braun;Deirdre A. Hennessy;B. Hemmelgarn - 通讯作者:
B. Hemmelgarn
Derivation and Internal Validation of a Clinical Risk Prediction Tool for Hyperkalemia-Related Emergency Department Encounters Among Hemodialysis Patients
血液透析患者高钾血症相关急诊科临床风险预测工具的推导和内部验证
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:1.7
- 作者:
P. Ronksley;J. Wick;M. Elliott;Robert G Weaver;B. Hemmelgarn;A. McRae;M. James;T. Harrison;J. MacRae - 通讯作者:
J. MacRae
Out-of-pocket spending on drugs and pharmaceutical products and cost-related prescription non-adherence among Canadians with chronic disease.
患有慢性病的加拿大人在药品和医药产品上的自付费用以及与成本相关的处方不遵守情况。
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:5
- 作者:
Deirdre A. Hennessy;C. Sanmartin;P. Ronksley;Robert G Weaver;D. Campbell;B. Manns;M. Tonelli;B. Hemmelgarn - 通讯作者:
B. Hemmelgarn
A Cost Analysis and Cost-Utility Analysis of a Community Pharmacist-Led Intervention on Reducing Cardiovascular Risk: The Alberta Vascular Risk Reduction Community Pharmacy Project (RxEACH).
社区药剂师主导的降低心血管风险干预措施的成本分析和成本效用分析:艾伯塔省降低血管风险社区药房项目 (RxEACH)。
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:4.5
- 作者:
H. Tam‐Tham;F. Clement;B. Hemmelgarn;B. Manns;S. Klarenbach;M. Tonelli;R. Tsuyuki;Yazid N. Al Hamarneh;J. Penko;C. Weaver;Flora Au;Robert G Weaver;Charlotte A Jones;K. McBrien - 通讯作者:
K. McBrien
Robert G Weaver的其他文献
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{{ truncateString('Robert G Weaver', 18)}}的其他基金
Identifying the Ideal Dose of Structured Summer Programming for Mitigating Accelerated Summer BMI Gain
确定结构化夏季计划的理想剂量,以缓解夏季体重指数加速增长
- 批准号:
10653609 - 财政年份:2023
- 资助金额:
$ 63.48万 - 项目类别:
Increasing Low-income Children's Access to Healthy Structured Programming to Reduce Obesity
增加低收入儿童获得健康结构化规划的机会以减少肥胖
- 批准号:
10654378 - 财政年份:2023
- 资助金额:
$ 63.48万 - 项目类别:
Identifying Patterns of BMI Development and Associated Behavioral, Social, Environmental, Genetic, and Biological Factors for Children from 3-10 Years
确定 3-10 岁儿童的 BMI 发展模式以及相关行为、社会、环境、遗传和生物因素
- 批准号:
10713863 - 财政年份:2023
- 资助金额:
$ 63.48万 - 项目类别:
Validity and Utility of Consumer-based Wearable Fitness Trackers to Monitor Free-Living Physical Activity Energy Expenditure and Sleep in Children 5-12 Years Old
基于消费者的可穿戴健身追踪器监测 5-12 岁儿童自由体力活动能量消耗和睡眠的有效性和实用性
- 批准号:
10443327 - 财政年份:2022
- 资助金额:
$ 63.48万 - 项目类别:
Prevention of Unhealthy Weight Gain in Children from Economically Disadvantaged Circumstances: Reducing Obesogenic Behaviors and Increasing Self-Regulation
预防经济困难儿童的不健康体重增加:减少肥胖行为并增强自我调节
- 批准号:
10361409 - 财政年份:2020
- 资助金额:
$ 63.48万 - 项目类别:
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