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Calibrating free-living physical activity characteristics across functionally-limited populations using machine-learned accelerometer approaches

Award Number: R01CA215318
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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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.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2023 ( Subtotal = $0 )
2023	2021	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	000	5	1/24/2023	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $475,626 )
2021	2021	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	000	5	3/25/2021	NON-COMPETING CONTINUATION	$475,626
														Subtotal = $475,626

Issue Date FY: 2020 ( Subtotal = $572,773 )
2020	2020	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	000	4	3/11/2020	NON-COMPETING CONTINUATION	$638,266
2020	2020	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	001	4	4/3/2020	NON-COMPETING CONTINUATION	-$65,493
2020	2018	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	002	2	4/6/2020	NON-COMPETING CONTINUATION	$0
														Subtotal = $572,773

Issue Date FY: 2019 ( Subtotal = $613,264 )
2019	2019	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	000	3	3/21/2019	NON-COMPETING CONTINUATION	$613,264
														Subtotal = $613,264

Issue Date FY: 2018 ( Subtotal = $673,206 )
2018	2018	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	001	2	5/31/2018	NON-COMPETING CONTINUATION	$57,364
2018	2018	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	000	2	3/22/2018	NON-COMPETING CONTINUATION	$516,293
2018	2018	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	002	2	7/27/2018	NON-COMPETING CONTINUATION	$99,549
														Subtotal = $673,206

Issue Date FY: 2017 ( Subtotal = $566,219 )
2017	2017	UNIVERSITY OF WISCONSIN SYSTEM	3203 N DOWNER AVE STE 273	MILWAUKEE	WI	53211	MILWAUKEE	USA	Cancer Cause and Prevention Research	000	1	2/28/2017	NEW	$566,219
														Subtotal = $566,219

Grand Total All Awards = $2,901,088

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Calibrating free-living physical activity characteristics across functionally-limited populations using machine-learned accelerometer approaches

Award Number: R01CA215318

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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