Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project

Aron S. Buchman*, Tianhao Wang, Shahram Oveisgharan, Andrea R. Zammit, Lei Yu, Peng Li, Kun Hu, Jeffrey M. Hausdorff, Andrew S.P. Lim, David A. Bennett

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study characterized person-specific rates of change of total daily physical activity (TDPA) and identified correlates of this change. TDPA metrics were extracted from multiday wrist-sensor recordings from 1083 older adults (average age 81 years; 76% female). Thirty-two covariates were collected at baseline. A series of linear mixed-effect models were used to identify covariates independently associated with the level and annual rate of change of TDPA. Though, person-specific rates of change varied during a mean follow-up of 5 years, 1079 of 1083 showed declining TDPA. The average decline was 16%/year, with a 4% increased rate of decline for every 10 years of age older at baseline. Following variable selection using multivariate modeling with forward and then backward elimination, age, sex, education, and 3 of 27 non-demographic covariates including motor abilities, a fractal metric, and IADL disability remained significantly associated with declining TDPA accounting for 21% of its variance (9% non-demographic and 12% demographics covariates). These results show that declining TDPA occurs in many very old adults. Few covariates remained correlated with this decline and the majority of its variance remained unexplained. Further work is needed to elucidate the biology underlying TDPA and to identify other factors that account for its decline.

Original languageEnglish
Article number4152
JournalSensors
Volume23
Issue number8
DOIs
StatePublished - Apr 2023

Funding

FundersFunder number
National Institutes of HealthR01AG56352, R01AG79133, R01AG75728, RF1AG64312, RF1AG59867, K01AG054700, R01AG17917
National Institutes of Health
BrightFocus FoundationA202886
BrightFocus Foundation

    Keywords

    • aging
    • linear mixed-effect model
    • multivariate modeling
    • physical activity
    • wearable sensors

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