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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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. |
format | Online Article Text |
id | pubmed-9770642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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