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Quantitative measures of healthy aging and biological age

Numerous genetic and non-genetic factors contribute to aging. To facilitate the study of these factors, various descriptors of biological aging, including ‘successful aging’ and ‘frailty’, have been put forth as integrative functional measures of aging. A separate but related quantitative approach i...

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Detalles Bibliográficos
Autores principales: Kim, Sangkyu, Jazwinski, S. Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440677/
https://www.ncbi.nlm.nih.gov/pubmed/26005669
http://dx.doi.org/10.12715/har.2015.4.26
Descripción
Sumario:Numerous genetic and non-genetic factors contribute to aging. To facilitate the study of these factors, various descriptors of biological aging, including ‘successful aging’ and ‘frailty’, have been put forth as integrative functional measures of aging. A separate but related quantitative approach is the ‘frailty index’, which has been operationalized and frequently used. Various frailty indices have been constructed. Although based on different numbers and types of health variables, frailty indices possess several common properties that make them useful across different studies. We have been using a frailty index termed FI(34) based on 34 health variables. Like other frailty indices, FI(34) increases non-linearly with advancing age and is a better indicator of biological aging than chronological age. FI(34) has a substantial genetic basis. Using FI(34), we found elevated levels of resting metabolic rate linked to declining health in nonagenarians. Using FI(34) as a quantitative phenotype, we have also found a genomic region on chromosome 12 that is associated with healthy aging and longevity.