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DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING

An operational definition of ‘well-aged’ is integral to research identifying biological, psychological and behavioral parameters that predict and/or support healthy aging but remarkably few measures exist. A major challenge is incorporating age-related physiologic decline – a normal feature of healt...

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Autores principales: Simonsick, Eleanor, Moore, Ann, Tanaka, Toshiko, Tian, Qu, Ferrucci, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770642/
http://dx.doi.org/10.1093/geroni/igac059.1235
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author Simonsick, Eleanor
Moore, Ann
Tanaka, Toshiko
Tian, Qu
Ferrucci, Luigi
author_facet Simonsick, Eleanor
Moore, Ann
Tanaka, Toshiko
Tian, Qu
Ferrucci, Luigi
author_sort Simonsick, Eleanor
collection PubMed
description An operational definition of ‘well-aged’ is integral to research identifying biological, psychological and behavioral parameters that predict and/or support healthy aging but remarkably few measures exist. A major challenge is incorporating age-related physiologic decline – a normal feature of healthy aging. We defined well-aged using fast 400m walk performance, a measure of cardiovascular fitness and hallmark of healthy aging. We determined the sex-specific, age-normalized 75th percentile using 4000+ observations collected over 15 years from BLSA participants aged 50-96y (51% women). In 1257 BLSA participants mean age 68.9y (52% women) we compared well-aged to average-aged (25th-75th percentile) adjusting for age, sex and race, and found more favorable WBC, triglycerides, CRP, depressive symptoms, waist/height ratio, eGFR and FEV1 z-score distinguished concurrent well-aged status (all p<.003). Waist/height ratio and pulse-wave velocity (both p<.001) predicted retained well-aged status 2-plus years later. Future work aims to identify physiologic and behavioral facilitators of healthy aging.
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spelling pubmed-97706422022-12-22 DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING Simonsick, Eleanor Moore, Ann Tanaka, Toshiko Tian, Qu Ferrucci, Luigi Innov Aging Abstracts An operational definition of ‘well-aged’ is integral to research identifying biological, psychological and behavioral parameters that predict and/or support healthy aging but remarkably few measures exist. A major challenge is incorporating age-related physiologic decline – a normal feature of healthy aging. We defined well-aged using fast 400m walk performance, a measure of cardiovascular fitness and hallmark of healthy aging. We determined the sex-specific, age-normalized 75th percentile using 4000+ observations collected over 15 years from BLSA participants aged 50-96y (51% women). In 1257 BLSA participants mean age 68.9y (52% women) we compared well-aged to average-aged (25th-75th percentile) adjusting for age, sex and race, and found more favorable WBC, triglycerides, CRP, depressive symptoms, waist/height ratio, eGFR and FEV1 z-score distinguished concurrent well-aged status (all p<.003). Waist/height ratio and pulse-wave velocity (both p<.001) predicted retained well-aged status 2-plus years later. Future work aims to identify physiologic and behavioral facilitators of healthy aging. Oxford University Press 2022-12-20 /pmc/articles/PMC9770642/ http://dx.doi.org/10.1093/geroni/igac059.1235 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Simonsick, Eleanor
Moore, Ann
Tanaka, Toshiko
Tian, Qu
Ferrucci, Luigi
DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING
title DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING
title_full DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING
title_fullStr DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING
title_full_unstemmed DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING
title_short DEVELOPING A FITNESS AGE-NORMALIZED PERCENTILE-BASED APPROACH TO DEFINE EXCEPTIONAL AGING
title_sort developing a fitness age-normalized percentile-based approach to define exceptional aging
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770642/
http://dx.doi.org/10.1093/geroni/igac059.1235
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