Agreement of Step-Based Metrics From ActiGraph and ActivPAL Accelerometers Worn Concurrently Among Older Adults.

Eric T Hyde, Steve Nguyen, Fatima Tuz-Zahra, Christopher C Moore, Mikael Anne Greenwood-Hickman, Rod L Walker, Loki Natarajan, Dori Rosenberg, John Bellettiere
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引用次数: 0

Abstract

Purpose: Our study evaluated the agreement of mean daily step counts, peak 1-min cadence, and peak 30-min cadence between the hip-worn ActiGraph GT3X+ accelerometer, using the normal filter (AGN) and the low frequency extension (AGLFE), and the thigh-worn activPAL3 micro (AP) accelerometer among older adults.

Methods: Nine-hundred and fifty-three older adults (≥65 years) were recruited to wear the ActiGraph device concurrently with the AP for 4-7 days beginning in 2016. Using the AP as the reference measure, device agreement for each step-based metric was assessed using mean differences (AGN - AP and AGLFE - AP), mean absolute percentage error (MAPE), and Pearson and concordance correlation coefficients.

Results: For AGN - AP, the mean differences and MAPE were: daily steps -1,851 steps/day and 27.2%, peak 1-min cadence -16.2 steps/min and 16.3%, and peak 30-min cadence -17.7 steps/min and 24.0%. Pearson coefficients were .94, .85, and .91 and concordance coefficients were .81, .65, and .73, respectively. For AGLFE - AP, the mean differences and MAPE were: daily steps 4,968 steps/day and 72.7%, peak 1-min cadence -1.4 steps/min and 4.7%, and peak 30-min cadence 1.4 steps/min and 7.0%. Pearson coefficients were .91, .91, and .95 and concordance coefficients were .49, .91, and .94, respectively.

Conclusions: Compared with estimates from the AP, the AGN underestimated daily step counts by approximately 1,800 steps/day, while the AGLFE overestimated by approximately 5,000 steps/day. However, peak step cadence estimates generated from the AGLFE and AP had high agreement (MAPE ≤ 7.0%). Additional convergent validation studies of step-based metrics from concurrently worn accelerometers are needed for improved understanding of between-device agreement.

同时佩戴 ActiGraph 和 ActivPAL 加速计的老年人步数指标的一致性。
目的:我们的研究评估了使用正常滤波器(AGN)和低频扩展(AGLFE)的髋部佩戴式 ActiGraph GT3X+ 加速度计与大腿佩戴式 activPAL3 micro(AP)加速度计之间在日平均步数、1 分钟峰值步频和 30 分钟峰值步频方面的一致性:从 2016 年开始,招募了 953 名老年人(≥65 岁)同时佩戴 ActiGraph 设备和 AP 4-7 天。以AP为参照测量,使用平均差(AGN - AP和AGLFE - AP)、平均绝对百分比误差(MAPE)、皮尔逊相关系数(Pearson)和一致性相关系数(conordance correlation coefficients)评估了每个基于步长的指标的设备一致性:对于 AGN - AP,平均差异和 MAPE 分别为:日步数 -1,851 步/天和 27.2%,1 分钟步速峰值 -16.2 步/分钟和 16.3%,30 分钟步速峰值 -17.7 步/分钟和 24.0%。皮尔逊系数分别为 0.94、0.85 和 0.91,一致性系数分别为 0.81、0.65 和 0.73。对于 AGLFE - AP,平均差异和 MAPE 分别为:日步数 4,968 步/天和 72.7%,1 分钟步速峰值 -1.4 步/分钟和 4.7%,30 分钟步速峰值 1.4 步/分钟和 7.0%。皮尔逊系数分别为.91、.91和.95,一致性系数分别为.49、.91和.94:与 AP 的估计值相比,AGN 低估了每日步数约 1,800 步/天,而 AGLFE 则高估了约 5,000 步/天。不过,AGLFE 和 AP 得出的峰值步速估计值具有很高的一致性(MAPE ≤ 7.0%)。为了更好地了解设备间的一致性,还需要对同时佩戴的加速度计所产生的基于步速的指标进行更多的趋同验证研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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