• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用消费监测器估算青少年的能量消耗。

Use of consumer monitors for estimating energy expenditure in youth.

机构信息

Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN 37996, USA.

Department of Kinesiology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

出版信息

Appl Physiol Nutr Metab. 2020 Feb;45(2):161-168. doi: 10.1139/apnm-2019-0129. Epub 2019 Jul 3.

DOI:10.1139/apnm-2019-0129
PMID:31269409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7251475/
Abstract

The purpose of this study was to compare energy expenditure (EE) estimates from 5 consumer physical activity monitors (PAMs) to indirect calorimetry in a sample of youth. Eighty-nine youth (mean (SD); age, 12.3 (3.4) years; 50% female) performed 16 semi-structured activities. Activities were performed in duplicate across 2 visits. Participants wore a Cosmed K4b (criterion for EE), an Apple Watch 2 (left wrist), Mymo Tracker (right hip), and Misfit Shine 2 devices (right hip; right shoe). Participants were randomized to wear a Samsung Gear Fit 2 or a Fitbit Charge 2 on the right wrist. Oxygen consumption was converted to EE by subtracting estimated basal EE (Schofield's equation) from the measured gross EE. EE from each visit was summed across the 2 visit days for comparison with the total EE recorded from the PAMs. All consumer PAMs estimated gross EE, except for the Apple Watch 2 (net Active EE). Paired tests were used to assess differences between estimated (PAM) and measured (K4b) EE. Mean absolute percent error (MAPE) was used to assess individual-level error. The Mymo Tracker was not significantly different from measured EE and was within 15.9 kcal of measured kilocalories ( = 0.764). Mean percent errors ranged from 3.5% (Mymo Tracker) to 48.2% (Apple Watch 2). MAPE ranged from 16.8% (Misfit Shine 2 - right hip) to 49.9% (Mymo Tracker). Only the Mymo Tracker was not significantly different from measured EE but had the greatest individual error. The Misfit Shine 2 - right hip had the lowest individual error. Caution is warranted when using consumer PAMs in youth for tracking EE.

摘要

本研究旨在比较 5 种消费者体能活动监测器(PAMs)与间接测热法在青少年群体中的能量消耗(EE)估计值。89 名青少年(平均(标准差);年龄,12.3(3.4)岁;50%为女性)进行了 16 项半结构化活动。两次就诊时重复进行活动。参与者佩戴 Cosmed K4b(EE 测定的标准)、Apple Watch 2(左手腕)、Mymo Tracker(右髋部)和 Misfit Shine 2 设备(右髋部;右鞋)。参与者随机佩戴三星 Gear Fit 2 或 Fitbit Charge 2 在右手腕上。通过从测量的总 EE 中减去估计的基础 EE(Schofield 方程)来将耗氧量转换为 EE。将两次就诊日的 EE 相加,与从 PAMs 记录的总 EE 进行比较。除了 Apple Watch 2(净主动 EE)之外,所有消费者 PAMs 均估计了总 EE。使用配对 t 检验评估估计值(PAM)和测量值(K4b)之间的差异。平均绝对百分比误差(MAPE)用于评估个体水平的误差。Mymo Tracker 与测量 EE 无显著差异,与测量千卡相差 15.9 kcal(=0.764)。平均百分比误差范围为 3.5%(Mymo Tracker)至 48.2%(Apple Watch 2)。MAPE 范围为 16.8%(Misfit Shine 2-右髋部)至 49.9%(Mymo Tracker)。仅 Mymo Tracker 与测量 EE 无显著差异,但个体误差最大。Misfit Shine 2-右髋部的个体误差最小。在青少年中使用消费者 PAMs 追踪 EE 时需要谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5453/7251475/8489276c6078/nihms-1590036-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5453/7251475/bc6c8a190a01/nihms-1590036-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5453/7251475/8489276c6078/nihms-1590036-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5453/7251475/bc6c8a190a01/nihms-1590036-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5453/7251475/8489276c6078/nihms-1590036-f0002.jpg

相似文献

1
Use of consumer monitors for estimating energy expenditure in youth.利用消费监测器估算青少年的能量消耗。
Appl Physiol Nutr Metab. 2020 Feb;45(2):161-168. doi: 10.1139/apnm-2019-0129. Epub 2019 Jul 3.
2
Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors.评估来自消费者多传感器身体活动监测器的实验室和每日能量消耗估计值。
PLoS One. 2017 Feb 24;12(2):e0171720. doi: 10.1371/journal.pone.0171720. eCollection 2017.
3
Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study.Apple Watch 在心血管疾病患者的心率和能量消耗测量中的准确性:横断面研究。
JMIR Mhealth Uhealth. 2019 Mar 19;7(3):e11889. doi: 10.2196/11889.
4
Comparative evaluation of heart rate-based monitors: Apple Watch vs Fitbit Charge HR.基于心率监测器的比较评估:苹果手表与Fitbit Charge HR对比
J Sports Sci. 2018 Aug;36(15):1734-1741. doi: 10.1080/02640414.2017.1412235. Epub 2017 Dec 6.
5
Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study.消费者可穿戴心率测量在 24 小时内的准确性:个体内验证研究。
JMIR Mhealth Uhealth. 2019 Mar 11;7(3):e10828. doi: 10.2196/10828.
6
Accuracy of the Apple Watch Series 4 and Fitbit Versa for Assessing Energy Expenditure and Heart Rate of Wheelchair Users During Treadmill Wheelchair Propulsion: Cross-sectional Study.苹果手表Series 4和Fitbit Versa在评估轮椅使用者在跑步机上推动轮椅时的能量消耗和心率方面的准确性:横断面研究。
JMIR Form Res. 2024 May 7;8:e52312. doi: 10.2196/52312.
7
Comprehensive comparison of Apple Watch and Fitbit monitors in a free-living setting.在自由生活环境下,对 Apple Watch 和 Fitbit 监测器的综合比较。
PLoS One. 2021 May 26;16(5):e0251975. doi: 10.1371/journal.pone.0251975. eCollection 2021.
8
Comparison of four Fitbit and Jawbone activity monitors with a research-grade ActiGraph accelerometer for estimating physical activity and energy expenditure.比较四种 Fitbit 和 Jawbone 活动监测器与研究级 ActiGraph 加速度计,以估计身体活动和能量消耗。
Br J Sports Med. 2018 Jul;52(13):844-850. doi: 10.1136/bjsports-2016-096990. Epub 2017 May 8.
9
Validity of Wearable Activity Monitors during Cycling and Resistance Exercise.可穿戴活动监测器在骑行和抗阻运动中的有效性。
Med Sci Sports Exerc. 2018 Mar;50(3):624-633. doi: 10.1249/MSS.0000000000001471.
10
Validity of Consumer-Based Physical Activity Monitors for Specific Activity Types.基于消费者的身体活动监测器对特定活动类型的有效性。
Med Sci Sports Exerc. 2016 Aug;48(8):1619-28. doi: 10.1249/MSS.0000000000000933.

引用本文的文献

1
Calibration and Validation of Machine Learning Models for Physical Behavior Characterization: Protocol and Methods for the Free-Living Physical Activity in Youth (FLPAY) Study.用于身体行为特征描述的机器学习模型的校准与验证:青少年自由生活身体活动(FLPAY)研究的方案与方法
JMIR Res Protoc. 2025 Apr 16;14:e65968. doi: 10.2196/65968.
2
Using Fitness Tracker Data to Overcome Pressure Insole Wear Time Challenges for Remote Musculoskeletal Monitoring.利用健身追踪器数据克服远程肌肉骨骼监测中压力鞋垫磨损时间的挑战。
Sensors (Basel). 2024 Dec 3;24(23):7717. doi: 10.3390/s24237717.
3
Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors.

本文引用的文献

1
How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies.活动监测器在多大程度上能准确估计能量消耗?当前技术有效性的系统评价和荟萃分析。
Br J Sports Med. 2020 Mar;54(6):332-340. doi: 10.1136/bjsports-2018-099643. Epub 2018 Sep 7.
2
Utility of the Youth Compendium of Physical Activities.《青少年体育活动简编》的效用
Res Q Exerc Sport. 2018 Sep;89(3):273-281. doi: 10.1080/02701367.2018.1487754. Epub 2018 Jul 18.
3
A Youth Compendium of Physical Activities: Activity Codes and Metabolic Intensities.
原始光电容积脉搏波图作为研究级可穿戴活动监测器的增强功能。
JMIR Mhealth Uhealth. 2024 Sep 27;12:e57158. doi: 10.2196/57158.
4
Accuracy of the Apple Watch Oxygen Saturation Measurement in Adults: A Systematic Review.成人中Apple Watch血氧饱和度测量的准确性:一项系统评价。
Cureus. 2023 Feb 23;15(2):e35355. doi: 10.7759/cureus.35355. eCollection 2023 Feb.
5
"suMus," a novel digital system for arm movement metrics and muscle energy expenditure.“suMus”,一种用于手臂运动指标和肌肉能量消耗的新型数字系统。
Front Physiol. 2023 Jan 26;14:1057592. doi: 10.3389/fphys.2023.1057592. eCollection 2023.
6
Are Wrist-Worn Activity Trackers and Mobile Applications Valid for Assessing Physical Activity in High School Students? Wearfit Study.腕戴活动追踪器和移动应用程序在评估高中生身体活动方面是否有效?Wearfit 研究。
J Sports Sci Med. 2022 Sep 1;21(3):356-375. doi: 10.52082/jssm.2022.356. eCollection 2022 Sep.
7
Validation of the Apple Watch for Estimating Moderate-to-Vigorous Physical Activity and Activity Energy Expenditure in School-Aged Children.验证 Apple Watch 估算学龄儿童中等到剧烈身体活动和活动能量消耗的有效性。
Sensors (Basel). 2021 Sep 25;21(19):6413. doi: 10.3390/s21196413.
8
Evaluating the Performance of Sensor-based Bout Detection Algorithms: The Transition Pairing Method.评估基于传感器的发作检测算法的性能:转换配对方法。
J Meas Phys Behav. 2020 Sep;3(3):219-227. doi: 10.1123/jmpb.2019-0039. Epub 2020 May 20.
9
Determining Physical Activity Characteristics from Wristband Data for Use in Automated Insulin Delivery Systems.从腕带数据中确定身体活动特征以用于自动胰岛素输送系统。
IEEE Sens J. 2020 Nov;20(21):12859-12870. doi: 10.1109/jsen.2020.3000772. Epub 2020 Jun 8.
10
Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children.商业多传感器可穿戴设备(Fitbit Charge HR)在测量健康儿童身体活动和睡眠方面的性能。
PLoS One. 2020 Sep 4;15(9):e0237719. doi: 10.1371/journal.pone.0237719. eCollection 2020.
《青少年体力活动纲要:活动代码与代谢强度》。
Med Sci Sports Exerc. 2018 Feb;50(2):246-256. doi: 10.1249/MSS.0000000000001430.
4
Energy Cost Expression for a Youth Compendium of Physical Activities: Rationale for Using Age Groups.《青少年体力活动简编》的能量消耗表达式:使用年龄组的基本原理。
Pediatr Exerc Sci. 2018 Feb 1;30(1):142-149. doi: 10.1123/pes.2016-0249. Epub 2017 Nov 11.
5
Youth Oriented Activity Trackers: Comprehensive Laboratory- and Field-Based Validation.面向青少年的活动追踪器:基于实验室和实地的综合验证
J Med Internet Res. 2017 Jul 19;19(7):e250. doi: 10.2196/jmir.6360.
6
A Bit of Fit: Minimalist Intervention in Adolescents Based on a Physical Activity Tracker.适度运动:基于身体活动追踪器对青少年进行的极简干预。
JMIR Mhealth Uhealth. 2017 Jul 6;5(7):e92. doi: 10.2196/mhealth.7647.
7
Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors.评估来自消费者多传感器身体活动监测器的实验室和每日能量消耗估计值。
PLoS One. 2017 Feb 24;12(2):e0171720. doi: 10.1371/journal.pone.0171720. eCollection 2017.
8
How consumer physical activity monitors could transform human physiology research.消费者身体活动监测设备如何改变人体生理学研究。
Am J Physiol Regul Integr Comp Physiol. 2017 Mar 1;312(3):R358-R367. doi: 10.1152/ajpregu.00349.2016. Epub 2017 Jan 4.
9
Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions.消费者级和研究级加速度计在自由生活条件下的身体活动评估:一项比较研究。
JMIR Mhealth Uhealth. 2016 Sep 19;4(3):e110. doi: 10.2196/mhealth.6281.
10
Accuracy of Consumer Monitors for Estimating Energy Expenditure and Activity Type.用于估计能量消耗和活动类型的消费级监测器的准确性。
Med Sci Sports Exerc. 2017 Feb;49(2):371-377. doi: 10.1249/MSS.0000000000001090.