Skip to content
Open access · CC-BY via OpenAlex

Frailty and Biological Age

Lixin Ji, S. Michal Jazwinski, Sangkyu Kim

Annals of Geriatric Medicine and Research · 2021 · ▲ 56 citations

Abstract

A reliable model of biological age is instrumental in the field of geriatrics and gerontology. This model should account for the heterogeneity and plasticity of aging and also accurately predict aging-related adverse outcomes. Epigenetic age models are based on DNA methylation levels at selected genomic sites and can be significant predictors of mortality and healthy/unhealthy aging. However, the biological function of DNA methylation at selected sites is yet to be determined. Frailty is a syndrome resulting from decreased physiological reserves and resilience. The frailty index is a probability-based extension of the concept of frailty. Defined as the proportion of health deficits, the frailty index quantifies the progression of unhealthy aging. The frailty index is currently the best predictor of mortality. It is associated with various biological factors and provides insight into the biological processes of aging. Investigation of the multi-omics factors associated with the frailty index will provide further insight.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
OpenAlex
DOI
10.4235/agmr.21.0080
Canonical
link ↗
Fetched
2026-06-22 MST

Cite this

APA
Ji, L., Jazwinski, S.M., &amp; Kim, S. (2021). Frailty and Biological Age. <em>Annals of Geriatric Medicine and Research</em>. https://doi.org/10.4235/agmr.21.0080
Vancouver
Ji L, Jazwinski SM, Kim S. Frailty and Biological Age. Annals of Geriatric Medicine and Research. 2021. doi:10.4235/agmr.21.0080.
BibTeX
@article{lixin2021Frailt, title = {Frailty and Biological Age}, author = {Lixin Ji and S. Michal Jazwinski and Sangkyu Kim}, journal = {Annals of Geriatric Medicine and Research}, year = {2021}, doi = {10.4235/agmr.21.0080}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings