Cognitive and physical age gaps in relation to mild cognitive impairment and behavioral phenotypes.

ABSTRACT: We can study how fast our biological aging clocks tick by calculating the difference (i.e., age gaps) between machine learning estimations of biological age and chronological age. While this approach has been increasingly used to study various aspects of aging, few had applied this approach to study cognitive and physical age gaps; not much is known about the behavioral and neurocognitive factors associated with these age gaps. In the present study, we examined these age gaps in relation to behavioral phenotypes and mild cognitive impairment (MCI) among community-dwelling older adults. Participants (N = 822, Age_mean = 67.6) were partitioned into equally-sized training and testing samples. Cognitive and physical age-prediction models were fitted using nine cognitive and eight phy

SUBMITTER: Yu J 

PROVIDER: S-EPMC10828169 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature