Evaluating Biological Age Metrics in Aging
Author Information
Author(s): Stephens Elizabeth, Stubbs Brianna, Senadheera Chatura, Alexander Laura, Silverman-Martin Wendie, Peralta Sawyer, Diaz Stephanie Roa, Newman John
Primary Institution: Buck Institute for Research on Aging
Hypothesis
Can biological age metrics reliably predict aging processes in a clinical cohort?
Conclusion
Klemera-Doubal Method and PhenoAge are validated as reliable biological age metrics that can be used in clinical settings to assess aging and predict health outcomes.
Supporting Evidence
- Klemera-Doubal Method and PhenoAge showed strong correlations with chronological age.
- Homeostatic Dysregulation exhibited minimal correlation with chronological age.
- Several significant predictors of biological age were identified using LASSO regression models.
Takeaway
This study looked at how well certain age measurements can tell us about health in older people, and found that some methods work really well.
Methodology
A 12-week, randomized, parallel group, double-blind, placebo-controlled pilot study.
Participant Demographics
23 participants, 14 male and 9 female, aged 76 years on average, with a range of 65 to 90 years.
Digital Object Identifier (DOI)
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