AI Article Synopsis
- Biological age (BA) provides a more reliable assessment of aging than chronological age (CA), but there’s no consensus on its measurement for lifespan and healthspan.
- The study analyzed 68 biomarkers from 2,844 Chinese Singaporeans, using various algorithms to estimate BA and explore connections to frailty and mortality, revealing that certain biomarkers, particularly kidney function and lung capacity, are crucial indicators.
- The findings confirm that BA is significantly better than CA in predicting health outcomes, with biologically older individuals showing higher frailty and mortality rates, regardless of their chronological age.
Article Abstract
Background: Biological age (BA) is a more accurate measure of the rate of human aging than chronological age (CA). However, there is limited consensus regarding measures of BA in life span and healthspan.
Methods: This study investigated measurement sets of 68 physiological biomarkers using data from 2,844 Chinese Singaporeans in two age subgroups (55-70 and 71-94 years) in the Singapore Longitudinal Aging Study (SLAS-2) with 8-year follow-up frailty and mortality data. We computed BA estimate using three commonly used algorithms: Principal Component Analysis (PCA), Multiple Linear Regression (MLR), and Klemera and Doubal (KD) method, and additionally, explored the use of machine learning methods for prediction of mortality and frailty. The most optimal algorithmic estimate of BA compared to CA was evaluated for their associations with risk factors and health outcome.
Results: Stepwise selection procedures resulted in the final selection of 8 biomarkers in males and 10 biomarkers in females. The highest-ranking biomarkers were estimated glomerular filtration rate for both genders, and the forced expiratory volume in 1 second in males and females. The BA estimates robustly predicted frailty and mortality and outperformed CA. The best performing KD measure of BA was notably predictive in the younger group (aged 55-70 years). BA estimates obtained using a machine learning train-test method were not more accurate than conventional BA estimates in predicting mortality and frailty in most situations. Biologically older people with the same CA as biologically younger individuals had higher prevalence of frailty and 8-year mortality, and worse health, behavioral, and functional characteristics.
Conclusions: BA is better than CA for measuring life span (mortality) and healthspan (frailty). This measurement set of physiological markers of biological aging among Chinese robustly differentiate biologically old from younger individuals with the same CA.
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| http://dx.doi.org/10.1093/gerona/glz146 | DOI Listing |
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