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ABSTRACT: Background
Individual differences in the rate of aging and susceptibility to disease are not accounted for by chronological age alone. These individual differences are better explained by biological age, which may be estimated by biomarker prediction models. In the light of the aging demographics of the global population and the increase in lifestyle-related morbidities, it is interesting to invent a new biological age model to be used for health promotion.Objective
This study aims to develop a model that estimates biological age based on physiological biomarkers of healthy aging.Methods
Carefully selected physiological variables from a healthy study population of 100 women and men were used as biomarkers to establish an estimate of biological age. Principal compone
SUBMITTER: Husted KLS
PROVIDER: S-EPMC9131142 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature