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Dataset Information

Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging.


ABSTRACT: To define metrics of phenotypic aging, it is essential to identify biological and environmental factors that influence the pace of aging. Previous attempts to develop aging metrics were hampered by cross-sectional designs and/or focused on younger populations. In the Baltimore Longitudinal Study of Aging (BLSA), we collected longitudinally across the adult age range a comprehensive list of phenotypes within four domains (body composition, energetics, homeostatic mechanisms and neurodegeneration/neuroplasticity) and functional outcomes. We integrated individual deviations from population trajectories into a global longitudinal phenotypic metric of aging and demonstrate that accelerated longitudinal phenotypic aging is associated with faster physical and cognitive decline, faster accumulatio

SUBMITTER: Kuo PL 

PROVIDER: S-EPMC9997119 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature