评估Fitbit Charge 2准确预测VO2max的能力。

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES mHealth Pub Date : 2019-09-21 DOI:10.21037/mhealth.2019.09.07
K. Freeberg, Brett R Baughman, T. Vickey, J. Sullivan, Brandon J Sawyer
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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. 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引用次数: 9

摘要

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