Back to Search Start Over

Data-driven physical actigraphy patterns relate to cognitive and vascular health in older adults

Authors :
Emily W. Paolillo
Shannon Y. Lee
Anna VandeBunte
Rowan Saloner
Leslie S. Gaynor
Nina Djukic
Torie Tsuei
Yann Cobigo
Joel H. Kramer
Kaitlin B. Casaletto
Source :
Experimental Gerontology, Vol 178, Iss , Pp 112231- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Health benefits of physical activity (PA) are well known; however, specific PA patterns that relate most strongly to cognitive aging outcomes are poorly understood. We characterized latent profiles of PA among older adults and examined associations with cognition and vascular burden. 124 functionally normal older adults wore a Fitbit™ for 30 days. Daily average step count, sedentary time (0 steps/min), and high-intensity time (≥120 steps/min) were calculated. Participants completed neurocognitive testing assessing cognitive domains of executive functioning and memory; medical history, from which vascular burden (i.e., a count of cardiovascular conditions) was calculated; and brain MRI (n = 44). Subgroups with similar PA patterns were identified via latent profile analysis. Three latent PA classes emerged: Class 1Low PA (n = 49), Class 2Average PA (n = 59), and Class 3High-intensity PA (n = 16). PA class related to executive functioning and vascular burden, driven by better outcomes in Class 3 than Class 1. Sex-stratified analyses revealed these associations were strongest in males. Post hoc analyses showed a positive association between high-intensity PA and white matter integrity among males. High-intensity PA related to better cognitive and vascular health, particularly among males. Findings inform physical activity-specific and person-specific recommendations for optimal cognitive aging.

Details

Language :
English
ISSN :
18736815
Volume :
178
Issue :
112231-
Database :
Directory of Open Access Journals
Journal :
Experimental Gerontology
Publication Type :
Academic Journal
Accession number :
edsdoj.90cdd77448934ebfab3619e834689f9c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.exger.2023.112231