Silva Genevieve S, Yang Heidi, Collins Jamie E, Losina Elena
Brigham and Women's Hospital Boston Massachusetts.
Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
ACR Open Rheumatol. 2019 Oct 11;1(9):585-592. doi: 10.1002/acr2.11080. eCollection 2019 Nov.
We sought to evaluate the performance of Fitbit in estimating ActiGraph-derived moderate-to-vigorous physical activity (MVPA) and sedentary time in the knee osteoarthritis (OA) population.
We used data from two weeks of Fitbit and ActiGraph wear among knee OA subjects. In primary analyses, we used literature-based ActiGraph thresholds of 200 and 1924 counts/min (triaxial vector magnitude) for sedentary and MVPA time as the gold standard to which we compared three sets of Fitbit thresholds informed by literature and data (Youden index). We also considered personalized, stride length-based Fitbit thresholds. In sensitivity analyses, we used uniaxial, vertical axis-based as well as personalized, BMI-based ActiGraph thresholds. We calculated agreement, sensitivity, and specificity of Fitbit in classifying sedentary and MVPA time.
In the primary analysis (vector magnitude thresholds), maximum agreement for sedentary and MVPA time was 67.0% from the Youden index-based and 91.1% from the stride length-based Fitbit thresholds. For sedentary time, the 20 strides/min threshold had the highest sensitivity (97.6%), and Youden-derived 1 stride/min had the highest specificity (51.6%). For MVPA, Youden-derived 14 strides/min yielded 72.8% sensitivity, and using stride length yielded 98.6% specificity. MVPA time ranged from 49-323 min/d, depending on threshold used, with literature-based and personalized thresholds leading to more conservative estimates of MVPA than Youden-derived thresholds.
Using Fitbit for MVPA and sedentary time assessment may lead to inaccurate estimates of both. Fitbit MVPA estimates were generally more conservative than ActiGraph estimates. Incorporating individuals' characteristics did not meaningfully improve Fitbit performance. Caution should be exercised when measuring activity using Fitbit.
我们旨在评估Fitbit在估计膝关节骨关节炎(OA)人群中源自ActiGraph的中度至剧烈身体活动(MVPA)和久坐时间方面的表现。
我们使用了膝关节OA受试者佩戴Fitbit和ActiGraph两周的数据。在主要分析中,我们将基于文献的ActiGraph久坐和MVPA时间阈值(三轴矢量大小分别为200和1924计数/分钟)作为金标准,与三组基于文献和数据(约登指数)得出的Fitbit阈值进行比较。我们还考虑了基于步幅长度的个性化Fitbit阈值。在敏感性分析中,我们使用了基于单轴垂直轴以及基于个性化BMI的ActiGraph阈值。我们计算了Fitbit在分类久坐和MVPA时间方面的一致性、敏感性和特异性。
在主要分析(矢量大小阈值)中,久坐和MVPA时间的最大一致性在基于约登指数的Fitbit阈值中为67.0%,在基于步幅长度的Fitbit阈值中为91.1%。对于久坐时间,20步/分钟的阈值具有最高敏感性(97.6%),基于约登指数得出的1步/分钟具有最高特异性(51.6%)。对于MVPA,基于约登指数得出的14步/分钟产生72.8%的敏感性,使用步幅长度产生98.6%的特异性。MVPA时间范围为49 - 323分钟/天,具体取决于所使用的阈值,基于文献和个性化的阈值导致对MVPA的估计比基于约登指数得出的阈值更保守。
使用Fitbit评估MVPA和久坐时间可能会导致两者的估计不准确。Fitbit对MVPA的估计通常比ActiGraph的估计更保守。纳入个体特征并不能显著改善Fitbit的性能。使用Fitbit测量活动时应谨慎。