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

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...

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Autores principales: Buchman, Aron S., Wang, Tianhao, Oveisgharan, Shahram, Zammit, Andrea R., Yu, Lei, Li, Peng, Hu, Kun, Hausdorff, Jeffrey M., Lim, Andrew S. P., Bennett, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142139/
https://www.ncbi.nlm.nih.gov/pubmed/37112493
http://dx.doi.org/10.3390/s23084152
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author Buchman, Aron S.
Wang, Tianhao
Oveisgharan, Shahram
Zammit, Andrea R.
Yu, Lei
Li, Peng
Hu, Kun
Hausdorff, Jeffrey M.
Lim, Andrew S. P.
Bennett, David A.
author_facet Buchman, Aron S.
Wang, Tianhao
Oveisgharan, Shahram
Zammit, Andrea R.
Yu, Lei
Li, Peng
Hu, Kun
Hausdorff, Jeffrey M.
Lim, Andrew S. P.
Bennett, David A.
author_sort Buchman, Aron S.
collection PubMed
description 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.
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spelling pubmed-101421392023-04-29 Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project Buchman, Aron S. Wang, Tianhao Oveisgharan, Shahram Zammit, Andrea R. Yu, Lei Li, Peng Hu, Kun Hausdorff, Jeffrey M. Lim, Andrew S. P. Bennett, David A. Sensors (Basel) Article 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. MDPI 2023-04-21 /pmc/articles/PMC10142139/ /pubmed/37112493 http://dx.doi.org/10.3390/s23084152 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Buchman, Aron S.
Wang, Tianhao
Oveisgharan, Shahram
Zammit, Andrea R.
Yu, Lei
Li, Peng
Hu, Kun
Hausdorff, Jeffrey M.
Lim, Andrew S. P.
Bennett, David A.
Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project
title Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project
title_full Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project
title_fullStr Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project
title_full_unstemmed Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project
title_short Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project
title_sort correlates of person-specific rates of change in sensor-derived physical activity metrics of daily living in the rush memory and aging project
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142139/
https://www.ncbi.nlm.nih.gov/pubmed/37112493
http://dx.doi.org/10.3390/s23084152
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