ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!

We propose a latent structural model framework where phenotypic aging is a latent variable influenced by chronological age, genes and environment. Within this framework, phenotypic age influences aging-related outcomes and is reflected by latent domains of aging (body composition, energetics, homeos...

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Autores principales: Shardell, Michelle, Kuo, Pei-Lun, Schrack, Jennifer, Simonsick, Eleanor M, Resnick, Susan M, Levine, Morgan E, Ferrucci, luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846545/
http://dx.doi.org/10.1093/geroni/igz038.2148
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author Shardell, Michelle
Shardell, Michelle
Kuo, Pei-Lun
Schrack, Jennifer
Simonsick, Eleanor M
Resnick, Susan M
Levine, Morgan E
Ferrucci, luigi
author_facet Shardell, Michelle
Shardell, Michelle
Kuo, Pei-Lun
Schrack, Jennifer
Simonsick, Eleanor M
Resnick, Susan M
Levine, Morgan E
Ferrucci, luigi
author_sort Shardell, Michelle
collection PubMed
description We propose a latent structural model framework where phenotypic aging is a latent variable influenced by chronological age, genes and environment. Within this framework, phenotypic age influences aging-related outcomes and is reflected by latent domains of aging (body composition, energetics, homeostasis, and neural functioning) reflected by biomarkers. First, we validate the framework by selecting age-associated domain-specific biomarkers and assessing internal consistency and convergent construct validity (Cronbach’s alpha). Using data from the Baltimore Longitudinal Study of Aging, within-domain Cronbach’s alphas ranged from 0.80 to 0.92, supporting convergent construct validity. Second, we evaluate two broad methods for combining biomarkers into one phenotypic age measure customized to different objectives: 1) confirmatory factor analysis of chronological age-adjusted biomarkers to create a measure to identify pleiotropic genetic and environmental mechanisms, and 2) machine-learning methods to create a measure optimizing predictive and concurrent criterion validity. This framework will enable evaluation of candidate biological mechanisms of aging.
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spelling pubmed-68465452019-11-18 ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST! Shardell, Michelle Shardell, Michelle Kuo, Pei-Lun Schrack, Jennifer Simonsick, Eleanor M Resnick, Susan M Levine, Morgan E Ferrucci, luigi Innov Aging Session 3040 (Symposium) We propose a latent structural model framework where phenotypic aging is a latent variable influenced by chronological age, genes and environment. Within this framework, phenotypic age influences aging-related outcomes and is reflected by latent domains of aging (body composition, energetics, homeostasis, and neural functioning) reflected by biomarkers. First, we validate the framework by selecting age-associated domain-specific biomarkers and assessing internal consistency and convergent construct validity (Cronbach’s alpha). Using data from the Baltimore Longitudinal Study of Aging, within-domain Cronbach’s alphas ranged from 0.80 to 0.92, supporting convergent construct validity. Second, we evaluate two broad methods for combining biomarkers into one phenotypic age measure customized to different objectives: 1) confirmatory factor analysis of chronological age-adjusted biomarkers to create a measure to identify pleiotropic genetic and environmental mechanisms, and 2) machine-learning methods to create a measure optimizing predictive and concurrent criterion validity. This framework will enable evaluation of candidate biological mechanisms of aging. Oxford University Press 2019-11-08 /pmc/articles/PMC6846545/ http://dx.doi.org/10.1093/geroni/igz038.2148 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session 3040 (Symposium)
Shardell, Michelle
Shardell, Michelle
Kuo, Pei-Lun
Schrack, Jennifer
Simonsick, Eleanor M
Resnick, Susan M
Levine, Morgan E
Ferrucci, luigi
ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!
title ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!
title_full ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!
title_fullStr ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!
title_full_unstemmed ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!
title_short ANALYTICAL CONSIDERATIONS OF DEVELOPING A PHENOTYPIC AGING MEASURE: THE CONCEPTUAL FRAMEWORK MUST COME FIRST!
title_sort analytical considerations of developing a phenotypic aging measure: the conceptual framework must come first!
topic Session 3040 (Symposium)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846545/
http://dx.doi.org/10.1093/geroni/igz038.2148
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