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Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults

Physical activity (PA) is associated with greater fatigability in older adults; little is known about magnitude, shape, timing and variability of the entire 24-h rest–activity rhythm (RAR) associated with fatigability. We identified which features of the 24-h RAR pattern were independently and joint...

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Autores principales: Graves, Jessica L., Qiao, Yujia (Susanna), Moored, Kyle D., Boudreau, Robert M., Venditti, Elizabeth M., Krafty, Robert T., Shiroma, Eric J., Harezlak, Jaroslaw, Glynn, Nancy W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958607/
https://www.ncbi.nlm.nih.gov/pubmed/33801352
http://dx.doi.org/10.3390/s21051718
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author Graves, Jessica L.
Qiao, Yujia (Susanna)
Moored, Kyle D.
Boudreau, Robert M.
Venditti, Elizabeth M.
Krafty, Robert T.
Shiroma, Eric J.
Harezlak, Jaroslaw
Glynn, Nancy W.
author_facet Graves, Jessica L.
Qiao, Yujia (Susanna)
Moored, Kyle D.
Boudreau, Robert M.
Venditti, Elizabeth M.
Krafty, Robert T.
Shiroma, Eric J.
Harezlak, Jaroslaw
Glynn, Nancy W.
author_sort Graves, Jessica L.
collection PubMed
description Physical activity (PA) is associated with greater fatigability in older adults; little is known about magnitude, shape, timing and variability of the entire 24-h rest–activity rhythm (RAR) associated with fatigability. We identified which features of the 24-h RAR pattern were independently and jointly associated with greater perceived physical fatigability (Pittsburgh Fatigability Scale, PFS, 0–50) in older adults (n = 181, 71.3 ± 6.7 years). RARs were characterized using anti-logistic extended cosine models and 4-h intervals of PA means and standard deviations across days. A K-means clustering algorithm approach identified four profiles of RAR features: “Less Active/Robust”, “Earlier Risers”, “More Active/Robust” and “Later RAR”. Quantile regression tested associations of each RAR feature/profile on median PFS adjusted for age, sex, race, body mass index and depression symptomatology. Later rise times (up mesor; β = 1.38, p = 0.01) and timing of midpoint of activity (acrophase; β = 1.29, p = 0.01) were associated with higher PFS scores. Lower PA between 4 a.m. and 8 a.m. was associated with higher PFS scores (β = −4.50, p = 0.03). “Less Active/Robust” (β = 6.14, p = 0.01) and “Later RAR” (β = 3.53, p = 0.01) patterns were associated with higher PFS scores compared to “Earlier Risers”. Greater physical fatigability in older adults was associated with dampened, more variable, and later RARs. This work can guide development of interventions aimed at modifying RARs to reduce fatigability in older adults.
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spelling pubmed-79586072021-03-16 Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults Graves, Jessica L. Qiao, Yujia (Susanna) Moored, Kyle D. Boudreau, Robert M. Venditti, Elizabeth M. Krafty, Robert T. Shiroma, Eric J. Harezlak, Jaroslaw Glynn, Nancy W. Sensors (Basel) Article Physical activity (PA) is associated with greater fatigability in older adults; little is known about magnitude, shape, timing and variability of the entire 24-h rest–activity rhythm (RAR) associated with fatigability. We identified which features of the 24-h RAR pattern were independently and jointly associated with greater perceived physical fatigability (Pittsburgh Fatigability Scale, PFS, 0–50) in older adults (n = 181, 71.3 ± 6.7 years). RARs were characterized using anti-logistic extended cosine models and 4-h intervals of PA means and standard deviations across days. A K-means clustering algorithm approach identified four profiles of RAR features: “Less Active/Robust”, “Earlier Risers”, “More Active/Robust” and “Later RAR”. Quantile regression tested associations of each RAR feature/profile on median PFS adjusted for age, sex, race, body mass index and depression symptomatology. Later rise times (up mesor; β = 1.38, p = 0.01) and timing of midpoint of activity (acrophase; β = 1.29, p = 0.01) were associated with higher PFS scores. Lower PA between 4 a.m. and 8 a.m. was associated with higher PFS scores (β = −4.50, p = 0.03). “Less Active/Robust” (β = 6.14, p = 0.01) and “Later RAR” (β = 3.53, p = 0.01) patterns were associated with higher PFS scores compared to “Earlier Risers”. Greater physical fatigability in older adults was associated with dampened, more variable, and later RARs. This work can guide development of interventions aimed at modifying RARs to reduce fatigability in older adults. MDPI 2021-03-02 /pmc/articles/PMC7958607/ /pubmed/33801352 http://dx.doi.org/10.3390/s21051718 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Graves, Jessica L.
Qiao, Yujia (Susanna)
Moored, Kyle D.
Boudreau, Robert M.
Venditti, Elizabeth M.
Krafty, Robert T.
Shiroma, Eric J.
Harezlak, Jaroslaw
Glynn, Nancy W.
Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults
title Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults
title_full Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults
title_fullStr Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults
title_full_unstemmed Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults
title_short Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults
title_sort profiles of accelerometry-derived physical activity are related to perceived physical fatigability in older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958607/
https://www.ncbi.nlm.nih.gov/pubmed/33801352
http://dx.doi.org/10.3390/s21051718
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