Detecting a Novel Walking-Based Performance Fatigability Marker With Accelerometry in Older Adults

Walking-based performance fatigability measures (e.g., lap-time difference) may not adequately capture performance deterioration as self-pacing is a common compensatory strategy in those with low activity tolerance. To overcome this limitation, we developed a new approach with accelerometry (ActiGra...

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Published in:Innovation in aging 2021-12, Vol.5 (Supplement_1), p.335-336
Main Authors: Qiao, Yujia (Susanna), Harezlak, Jaroslaw, Boudreau, Robert, Urbanek, Jacek, Moored, Kyle, Schrack, Jennifer, Simonsick, Eleanor, Glynn, Nancy W
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container_end_page 336
container_issue Supplement_1
container_start_page 335
container_title Innovation in aging
container_volume 5
creator Qiao, Yujia (Susanna)
Harezlak, Jaroslaw
Boudreau, Robert
Urbanek, Jacek
Moored, Kyle
Schrack, Jennifer
Simonsick, Eleanor
Glynn, Nancy W
description Walking-based performance fatigability measures (e.g., lap-time difference) may not adequately capture performance deterioration as self-pacing is a common compensatory strategy in those with low activity tolerance. To overcome this limitation, we developed a new approach with accelerometry (ActiGraph GT3X+, sampling=80 Hz, non-dominant wrist) during fast-paced 400m-walk (N=57, age=78.7±5.7 years, women=53%). Cadence (steps/second) was estimated using raw accelerometer data (R “ADEPT”). Penalized regression splines (R “mgcv”) were used to estimate the individual-level smoothed cadence trajectories. “Time-to-slow-down” was defined as first time-point where the full confidence interval of change in cadence
doi_str_mv 10.1093/geroni/igab046.1301
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title Detecting a Novel Walking-Based Performance Fatigability Marker With Accelerometry in Older Adults
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