TIME-OF-DAY MOVEMENT AMOUNT AND VARIABILITY BY COGNITIVE STATUS IN A SAMPLE OF BLACK OLDER ADULTS

Abstract Reduced daily movement, particularly in the mornings, is linked with elevated Alzheimer’s disease risk, yet prior studies have consisted of primarily non-Hispanic White participants. Whether this association exists in Black older adults, who often are underrepresented in research and experience delays in cognitive impairment diagnosis, remains unexplored. Wrist-worn accelerometry was analyzed from 21 Black participants (median age: 73 years, 83% women) referred from the Johns Hopkins Alzheimer’s Disease Research Center who evaluate each participant for mild cognitive impairment (MCI). Separate age and sex adjusted linear regression models estimated movement differences by MCI status in mean: 1) total physical activity amount or variability (counts/d) over 24-hrs and 2) amount or variability of activity (counts/d) from 12am-6am, 6am-12pm, 12pm-6pm, and 6pm-12am. Variability measures were calculated as the SD of minute-level activity during each time period. Thirteen participants (62%) were identified with MCI. Participants with MCI averaged 1,700,927 (SD=721,021.9) counts/d compared to cognitively unimpaired participants who averaged 1,727,588 (SD=841,627.9) counts/d. Amount of activity counts/d did not differ between those living with and without MCI overall or by time-of-day (p for all>0.56). However, there was a significant difference in physical activity variability between 6am-12pm, where variability was higher among those with MCI by 66,451 (95% CI: 883, 132,020) counts/d. Our findings warrant further investigation into whether variability, rather than amount, in everyday movement occurring during early morning hours could serve as a digital biomarker to enhance cognitive impairment screening for Black older adults living independently.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.4094
Primary Topic
Neuroscience and Music Perception
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TIME-OF-DAY MOVEMENT AMOUNT AND VARIABILITY BY COGNITIVE STATUS IN A SAMPLE OF BLACK OLDER ADULTS

Francesca Marino, Amal Asiri Wanigatunga, Marilyn Albert, Marta Karas et al.
1 links
Innovation in Aging
Neuroscience and Music Perception
article

TIME-OF-DAY MOVEMENT AMOUNT AND VARIABILITY BY COGNITIVE STATUS IN A SAMPLE OF BLACK OLDER ADULTS

Francesca Marino, Amal Asiri Wanigatunga, Marilyn Albert, Marta Karas, Nicola M. Shen, Jennifer A. Schrack, Lauren Parker, Fangyu Liu
article en

Abstract

Abstract Reduced daily movement, particularly in the mornings, is linked with elevated Alzheimer’s disease risk, yet prior studies have consisted of primarily non-Hispanic White participants. Whether this association exists in Black older adults, who often are underrepresented in research and experience delays in cognitive impairment diagnosis, remains unexplored. Wrist-worn accelerometry was analyzed from 21 Black participants (median age: 73 years, 83% women) referred from the Johns Hopkins Alzheimer’s Disease Research Center who evaluate each participant for mild cognitive impairment (MCI). Separate age and sex adjusted linear regression models estimated movement differences by MCI status in mean: 1) total physical activity amount or variability (counts/d) over 24-hrs and 2) amount or variability of activity (counts/d) from 12am-6am, 6am-12pm, 12pm-6pm, and 6pm-12am. Variability measures were calculated as the SD of minute-level activity during each time period. Thirteen participants (62%) were identified with MCI. Participants with MCI averaged 1,700,927 (SD=721,021.9) counts/d compared to cognitively unimpaired participants who averaged 1,727,588 (SD=841,627.9) counts/d. Amount of activity counts/d did not differ between those living with and without MCI overall or by time-of-day (p for all>0.56). However, there was a significant difference in physical activity variability between 6am-12pm, where variability was higher among those with MCI by 66,451 (95% CI: 883, 132,020) counts/d. Our findings warrant further investigation into whether variability, rather than amount, in everyday movement occurring during early morning hours could serve as a digital biomarker to enhance cognitive impairment screening for Black older adults living independently.

Innovation in AgingVol. 8(Supplement_1)
Boston University (US), Johns Hopkins University (US), Boston Public Health Commission (US), Johns Hopkins Medicine (US), Takeda (United States) (US)
Openalex Percentile: Top 74%
Neuroscience and Music Perception
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.