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Inter-Device Agreement between Fitbit Flex 1 and 2 for Assessing Sedentary Behavior and Physical Activity

机译:Fitbit Flex 1和2之间的设备间协议用于评估久坐行为和身体活动

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摘要

This study examined the inter-model agreement between the Fitbit Flex (FF) and FF2 in estimating sedentary behavior (SED) and physical activity (PA) during a free-living condition. 33 healthy adults wore the FF and FF2 on non-dominant wrist for 14 consecutive days. After excluding sleep and non-wear time, data from the FF and FF2 was converted to the time spent (min/day) in SED and PA using a proprietary algorithm. Pearson’s correlation was used to evaluate the association between the estimates from FF and FF2. Mean absolute percent errors (MAPE) were used to examine differences and measurement agreement in SED and PA estimates between FF and FF2. Bland-Altman (BA) plots were used to examine systematic bias between two devices. Equivalence testing was conducted to examine the equivalence between the FF and FF2. The FF2 had strong correlations with the FF in estimating SED and PA times. Compared to the FF, the FF2 yielded similar SED and PA estimates along with relatively low measurement discords and did not have significant systematic biases for SED and Moderate-to-vigorous PA estimates. Our findings suggest that researchers may choose FF2 as a measurement of SED and PA when FF is not available in the market during the longitudinal PA research.
机译:本研究在自由生活条件下估算了久坐行为(SED)和体育活动(PA)之间的Fitbit Flex(FF)和FF2之间的模型间协议。 33名健康成年人连续14天戴上非占主导地位的FF和FF2。在排除睡眠和非磨损时间后,使用专有算法将来自FF和FF2和FF2的数据转换为SED和PA的时间(最小/天)。 Pearson的相关性用于评估FF和FF2的估计之间的关联。平均绝对百分比误差(MAPE)用于检查SED和FF2之间的SED和PA估计中的差异和测量协议。 Bland-Altman(BA)地块用于检查两个设备之间的系统偏压。进行等效测试以检查FF和FF2之间的等效性。 FF2与FF估计SED和PA次具有强烈的相关性。与FF相比,FF2产生了类似的SED和PA估计以及相对较低的测量不和谐,并且对于SED和中度至活泼的PA估计没有显着的系统偏差。我们的研究结果表明,研究人员可以选择FF2作为SED和PA的测量,当时在纵向PA研究中市场上不可用。

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