Assessing the ability of the Fitbit Charge 2 to accurately predict VO2max.

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES
K. Freeberg, Brett R Baughman, T. Vickey, J. Sullivan, Brandon J Sawyer
{"title":"Assessing the ability of the Fitbit Charge 2 to accurately predict VO2max.","authors":"K. Freeberg, Brett R Baughman, T. Vickey, J. Sullivan, Brandon J Sawyer","doi":"10.21037/mhealth.2019.09.07","DOIUrl":null,"url":null,"abstract":"Background\nThe aim of this study was to assess the ability of the Fitbit Charge 2 (FBC2) to accurately estimate VO2max in comparison to both the gold standard VO2max test and a non-exercise VO2max prediction equation.\n\n\nMethods\nThirty healthy subjects (17 men, 13 women) between the ages of 18 and 35 (age =21.7±3.1 years) were given a FBC2 to wear for seven days and followed instructions on how to obtain a cardio fitness score (CFS). VO2max was measured with an incremental test on the treadmill followed by a verification phase. VO2max was predicted via a non-exercise prediction model (N-Ex) using self-reported physical activity level.\n\n\nResults\nMeasured VO2max was significantly lower than FBC2 predicted CFS (VO2max =49.91±6.83; CFS =52.53±8.43, P=0.03). N-Ex prediction was significantly lower than CFS but not significantly lower than measured VO2max (N-Ex =48.79±6.32; CFS vs. N-Ex: P=0.01; VO2max vs. N-Ex: P=0.54). Relationships between both VO2max vs. CFS and VO2max vs. N-Ex were good (ICC: VO2max vs. CFS=0.87, VO2max vs. N-Ex =0.87); Bland-Altman analysis indicated consistency of CFS measurement and lack of bias. The coefficient of variation (CV) and mean absolute percent error (MAPE) were greater with CFS than N-Ex (CV: CFS =6.5%±4.1%, N-Ex =5.6%±3.6%; MAPE: CFS =10.2%±6.7%, N-Ex =7.8%±5.0%). Heart rate (HR) estimated by the FBC2 was lower than estimated (Est) HR for pace based on HR extrapolation (FBC2 =155±18 bpm, Est =183±15 bpm, P<0.001). The difference in CFS and VO2max was inversely correlated with the difference in FBC2 HR and Estimated HR (r =-0.45, P<0.001).\n\n\nConclusions\nThe FBC2 shows consistent, unbiased measurement of CFS while overestimating VO2max in healthy men and women. The non-exercise VO2max prediction equation provides a similar, slightly more accurate, VO2max prediction than the CFS without the need for an exercise test or purchase of a Fitbit.","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"5 1","pages":"39"},"PeriodicalIF":2.2000,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/mhealth.2019.09.07","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"mHealth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/mhealth.2019.09.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 9

Abstract

Background The aim of this study was to assess the ability of the Fitbit Charge 2 (FBC2) to accurately estimate VO2max in comparison to both the gold standard VO2max test and a non-exercise VO2max prediction equation. Methods Thirty healthy subjects (17 men, 13 women) between the ages of 18 and 35 (age =21.7±3.1 years) were given a FBC2 to wear for seven days and followed instructions on how to obtain a cardio fitness score (CFS). VO2max was measured with an incremental test on the treadmill followed by a verification phase. VO2max was predicted via a non-exercise prediction model (N-Ex) using self-reported physical activity level. Results Measured VO2max was significantly lower than FBC2 predicted CFS (VO2max =49.91±6.83; CFS =52.53±8.43, P=0.03). N-Ex prediction was significantly lower than CFS but not significantly lower than measured VO2max (N-Ex =48.79±6.32; CFS vs. N-Ex: P=0.01; VO2max vs. N-Ex: P=0.54). Relationships between both VO2max vs. CFS and VO2max vs. N-Ex were good (ICC: VO2max vs. CFS=0.87, VO2max vs. N-Ex =0.87); Bland-Altman analysis indicated consistency of CFS measurement and lack of bias. The coefficient of variation (CV) and mean absolute percent error (MAPE) were greater with CFS than N-Ex (CV: CFS =6.5%±4.1%, N-Ex =5.6%±3.6%; MAPE: CFS =10.2%±6.7%, N-Ex =7.8%±5.0%). Heart rate (HR) estimated by the FBC2 was lower than estimated (Est) HR for pace based on HR extrapolation (FBC2 =155±18 bpm, Est =183±15 bpm, P<0.001). The difference in CFS and VO2max was inversely correlated with the difference in FBC2 HR and Estimated HR (r =-0.45, P<0.001). Conclusions The FBC2 shows consistent, unbiased measurement of CFS while overestimating VO2max in healthy men and women. The non-exercise VO2max prediction equation provides a similar, slightly more accurate, VO2max prediction than the CFS without the need for an exercise test or purchase of a Fitbit.
评估Fitbit Charge 2准确预测VO2max的能力。
本研究的目的是评估Fitbit Charge 2 (FBC2)与黄金标准VO2max测试和非运动VO2max预测方程相比准确估计VO2max的能力。方法30名年龄在18 ~ 35岁(年龄=21.7±3.1岁)的健康受试者(男17名,女13名)佩戴FBC2 7天,并按照指导获取心血管健康评分(CFS)。VO2max在跑步机上进行增量测试,然后进行验证阶段。VO2max通过非运动预测模型(N-Ex)预测,使用自我报告的身体活动水平。结果测定VO2max显著低于FBC2预测CFS (VO2max =49.91±6.83;CFS =52.53±8.43,p =0.03)。N-Ex预测值显著低于CFS,但不显著低于实测VO2max (N-Ex =48.79±6.32;CFS vs. N-Ex: P=0.01;VO2max vs. N-Ex: P=0.54)。VO2max与CFS、VO2max与N-Ex关系良好(ICC: VO2max与CFS=0.87, VO2max与N-Ex =0.87);Bland-Altman分析显示CFS测量结果一致,无偏倚。CFS组的变异系数(CV)和平均绝对百分比误差(MAPE)均大于N-Ex组(CV: CFS =6.5%±4.1%,N-Ex =5.6%±3.6%;MAPE: CFS =10.2%±6.7%,N-Ex =7.8%±5.0%)。FBC2估算的心率(HR)低于基于心率外推法估算的心率(Est) (FBC2 =155±18 bpm, Est =183±15 bpm, P<0.001)。CFS和VO2max的差异与FBC2 HR和Estimated HR的差异呈负相关(r =-0.45, P<0.001)。结论FBC2在高估健康男性和女性VO2max的同时,显示了CFS的一致、公正的测量。与CFS相比,非运动时的最大摄氧量预测方程提供了类似的、稍微更准确的最大摄氧量预测,而无需进行运动测试或购买Fitbit。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.40
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信