||5R01CA215318-04 Interpret this number
||University Of Wisconsin Milwaukee
||Calibrating Free-Living Physical Activity Characteristics Across Functionally-Limited Populations Using Machine-Learned Accelerometer Approaches
PROJECT SUMMARY/ ABSTRACT
One in 5 U.S. adults are thought to be living with a disability/impairment, a complex and multifaceted condition
affecting movement patterns with related medical care costs exceeding $300 billion annually. Precise and
accurate assessment of physical activity (PA) and sedentary behavior (SB) in individuals with disabiliy/
impairment is essential to accurately measure PA/SB prevalence rates and effectiveness of behavioral based
PA/SB interventions, and to fully elucidate PA/SB dose-response health relationships. Scientific progress has
been made in this area with advanced analytics and data processing techniques applied to wearable
accelerometers from laboratory calibration studies. There is a scientific need to extend calibration studies from
fixed-duration laboratory simulated activities of daily living to free-living calibrations with natural observation
and accelerometer algorithm training and validation. The aims of this proposal fill this essential scientific
knowledge gap. The specific aims are: 1) To evaluate and refine machine-learned algorithms to predict energy
cost and activity type during a 24-hr respiratory calorimeter stay; 2) To validate machine-learned accelerometer
algorithms with field-derived, video-recorded direct observation; and 3) To validate machine-learned algorithms
using the doubly labeled water technique. Our highly qualified research team will address the above aims by
using brief translatable functional tests to cluster movement-impaired populations into groups of healthy,
upper-body impairment, lower-body impairment, and upper- and lower-body impairment. Best practice free-
living calibration protocols will then be used to train, refine, and evaluate functional clustered-specific
accelerometer algorithms for predicting activity energy cost, activity type, activity transitions, and activity
domain. The results of these proposed studies will for the first time provide an innovative and translatable
approach to categorize and assess free-living PA/SB in persons with disability and movement impairment.
Wearables for Promoting Physical Activity.
, Rowley T.W.
Clinical chemistry, 2018 01; 64(1), p. 53-63.
Individualized Estimation of Physical Activity in Older Adults with Type 2 Diabetes.
, Alexander N.B.
, Swartz A.M.
, Miller N.E.
, Twardzik E.
, Strath S.J.
Medicine and science in sports and exercise, 2017 Nov; 49(11), p. 2185-2190.