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Temporal Dynamics and Associations of Device-based Activity Distribution Metrics and Everyday Cognition in Older Adults

Award Number: R03AG087445
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 05/01/2024
PERIOD OF PERFORMANCE END DATE: 04/30/2026

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Temporal Dynamics and Associations of Device-based Activity Distribution Metrics and Everyday Cognition in Older Adults - The escalating incidence of Alzheimer’s disease and related dementias (ADRD) places a tremendous economic burden on society and families across the globe. To date, medical approaches for preventing and treating AD/ADRD have yielded limited success. Preventive strategies, such as physical activity, hold promise for sustaining cognition and thus reducing AD/ADRD risks in older adults. However, this literature has focused exclusively on the effects of the total amount of time or volume of higher-intensity physical activity (or exercise) on cognitive health. Beyond the total volume amount performed, older adults accumulate their physical activity through irregular lifestyle activity bouts (e.g., intermittent short periods of walking activities) throughout the day. How these lifestyle activity bouts are accumulated and allocated from day-to-day may represent a scalable and relatively more achievable behavioral target that may generate cognitive benefits. When older adults’ cognition is sustained on a daily basis without drastic variations over time, their risks for developing AD/ADRD can be reduced as a result. Thus, the proposed study is designed to bridge the knowledge gap by determining whether the distribution of lifestyle physical activity bouts is associated with the mean level and the variability in older adults’ daily cognitive function. This study will leverage mobile technology to collect data on daily physical activity bouts and daily cognitive function using a research-grade accelerometer and validated cognitive assessment smartphone app. To achieve our study objectives, we will recruit older adults who have higher risks for developing AD/ADRD and will repeatedly measure their daily physical activity bouts and performance- based cognitive function. A total of 84 high-risk older adults (ages 60+, 40% African American or other races besides White/Non-Hispanic) will be recruited from the local community. Eligible participants will wear the lightweight activPAL accelerometer for 21 days to capture the distribution of their daily bouts of physical activity. During the same 21-day period, they will also complete up to five ultra-brief cognitive tests delivered by the NIH-funded M2C2 app during waking time each day. We will apply intensive longitudinal data analysis via an NIH-funded statistical program to answer our research questions. This study will determine if specific distributions of lifestyle physical activity bouts represent a promising behavioral target that can be engaged in future efficacy trials for sustaining cognitive health in everyday life. Findings will also provide an evidence- based foundation for advancing ADRD preventive science to reduce AD/ADRD risks or slowing down the pathological process during the long pre-clinical AD/ADRD phase.


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: 2024 ( Subtotal = $287,416 )
2024	2024	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Aging Research	000	1	4/19/2024	NEW	$287,416
														Subtotal = $287,416

Grand Total All Awards = $287,416

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Temporal Dynamics and Associations of Device-based Activity Distribution Metrics and Everyday Cognition in Older Adults

Award Number: R03AG087445

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 05/01/2024

PERIOD OF PERFORMANCE END DATE: 04/30/2026

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