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Surveying predictors of late-life longitudinal change in daily activity energy expenditure
BACKGROUND: Total daily energy expenditure (TEE) is composed of resting metabolic rate (RMR), post-prandial thermogenesis and activity energy expenditure (AEE). Higher AEE is strongly associated with lower mortality and physical limitations among older adults, but factors that predict changes in AEE...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5645098/ https://www.ncbi.nlm.nih.gov/pubmed/29040301 http://dx.doi.org/10.1371/journal.pone.0186289 |
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author | Valiani, Vincenzo Sourdet, Sandrine Schoeller, Dale A. Mackey, Dawn C. Bauer, Douglas C. Glynn, Nancy W. Yamada, Yosuke Harris, Tamara B. Manini, Todd M. |
author_facet | Valiani, Vincenzo Sourdet, Sandrine Schoeller, Dale A. Mackey, Dawn C. Bauer, Douglas C. Glynn, Nancy W. Yamada, Yosuke Harris, Tamara B. Manini, Todd M. |
author_sort | Valiani, Vincenzo |
collection | PubMed |
description | BACKGROUND: Total daily energy expenditure (TEE) is composed of resting metabolic rate (RMR), post-prandial thermogenesis and activity energy expenditure (AEE). Higher AEE is strongly associated with lower mortality and physical limitations among older adults, but factors that predict changes in AEE in septu and octogenarians are not clearly understood. OBJECTIVE: To identify factors associated with late-life longitudinal change in AEE. DESIGN: Energy expenditure was re-assessed in 83 participants (average age at baseline, 74.4±3.2 years)—an average of 7.5±0.54 years since the baseline measure. RMR was measured using indirect calorimetry and the thermic effect of meals was estimated at 10% of TEE. AEE was calculated as: TEE(0.9)-RMR. Participants were categorized into two groups according to the estimated day-to-day precision of the doubly-labeled water technique. Those who were within 10% or increased relative to their initial AEE measurement were categorized as having preserved AEE. Participants who declined greater than 10% of their initial measurement were categorized as having reduced AEE. A variety of socio-demographic, functional and mental factors, body composition, community and personal behaviors, blood measurements and health conditions were evaluated between groups at baseline and changes during follow-up. RESULTS: Daily AEE declined 106.61±293.25 kcal, which equated to a 14.63±40.57 kcal/d decrease per year. Fifty-nine percent (n = 49) preserved their AEE and 41% (n = 34) declined. Those who demonstrated a decline in AEE were older, had lower walking speed at baseline and showed a higher lean mass loss during follow up. Otherwise, groups were similar for socio-demographic characteristics, body composition, mental and physical function, health conditions and community and personal behaviors at baseline and change in these factors during follow-up. CONCLUSIONS: This study demonstrates that AEE declines through the 8(th) decade of life and is associated with age, lower walking speed at baseline and lean mass loss. Additionally, there are a significant number of individuals who appear to be resilient to these declines despite having health events that are expected to have a negative impact on their physical activity. |
format | Online Article Text |
id | pubmed-5645098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56450982017-10-30 Surveying predictors of late-life longitudinal change in daily activity energy expenditure Valiani, Vincenzo Sourdet, Sandrine Schoeller, Dale A. Mackey, Dawn C. Bauer, Douglas C. Glynn, Nancy W. Yamada, Yosuke Harris, Tamara B. Manini, Todd M. PLoS One Research Article BACKGROUND: Total daily energy expenditure (TEE) is composed of resting metabolic rate (RMR), post-prandial thermogenesis and activity energy expenditure (AEE). Higher AEE is strongly associated with lower mortality and physical limitations among older adults, but factors that predict changes in AEE in septu and octogenarians are not clearly understood. OBJECTIVE: To identify factors associated with late-life longitudinal change in AEE. DESIGN: Energy expenditure was re-assessed in 83 participants (average age at baseline, 74.4±3.2 years)—an average of 7.5±0.54 years since the baseline measure. RMR was measured using indirect calorimetry and the thermic effect of meals was estimated at 10% of TEE. AEE was calculated as: TEE(0.9)-RMR. Participants were categorized into two groups according to the estimated day-to-day precision of the doubly-labeled water technique. Those who were within 10% or increased relative to their initial AEE measurement were categorized as having preserved AEE. Participants who declined greater than 10% of their initial measurement were categorized as having reduced AEE. A variety of socio-demographic, functional and mental factors, body composition, community and personal behaviors, blood measurements and health conditions were evaluated between groups at baseline and changes during follow-up. RESULTS: Daily AEE declined 106.61±293.25 kcal, which equated to a 14.63±40.57 kcal/d decrease per year. Fifty-nine percent (n = 49) preserved their AEE and 41% (n = 34) declined. Those who demonstrated a decline in AEE were older, had lower walking speed at baseline and showed a higher lean mass loss during follow up. Otherwise, groups were similar for socio-demographic characteristics, body composition, mental and physical function, health conditions and community and personal behaviors at baseline and change in these factors during follow-up. CONCLUSIONS: This study demonstrates that AEE declines through the 8(th) decade of life and is associated with age, lower walking speed at baseline and lean mass loss. Additionally, there are a significant number of individuals who appear to be resilient to these declines despite having health events that are expected to have a negative impact on their physical activity. Public Library of Science 2017-10-17 /pmc/articles/PMC5645098/ /pubmed/29040301 http://dx.doi.org/10.1371/journal.pone.0186289 Text en © 2017 Valiani et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Valiani, Vincenzo Sourdet, Sandrine Schoeller, Dale A. Mackey, Dawn C. Bauer, Douglas C. Glynn, Nancy W. Yamada, Yosuke Harris, Tamara B. Manini, Todd M. Surveying predictors of late-life longitudinal change in daily activity energy expenditure |
title | Surveying predictors of late-life longitudinal change in daily activity energy expenditure |
title_full | Surveying predictors of late-life longitudinal change in daily activity energy expenditure |
title_fullStr | Surveying predictors of late-life longitudinal change in daily activity energy expenditure |
title_full_unstemmed | Surveying predictors of late-life longitudinal change in daily activity energy expenditure |
title_short | Surveying predictors of late-life longitudinal change in daily activity energy expenditure |
title_sort | surveying predictors of late-life longitudinal change in daily activity energy expenditure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5645098/ https://www.ncbi.nlm.nih.gov/pubmed/29040301 http://dx.doi.org/10.1371/journal.pone.0186289 |
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