Literature DB >> 8872080

Measuring human functional age: a review of empirical findings.

K J Anstey1, S R Lord, G A Smith.   

Abstract

A review of empirical functional age studies published in English was conducted. Types of biomarkers used in functional age studies included sensorimotor, cognitive, psychosocial, behavioral, anthropometric, biomedical, physiological, and dental variables. Previous criticisms of the validity and utility of functional age research were evaluated with reference to empirical studies. While some of these criticisms remain valid, areas of research currently using established biomarkers to predict functional outcomes were identified, including driving, falls, and cognitive functioning. It was concluded that the success of functional age research is dependent on the relevance of biomarkers to specific functional outcomes.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8872080     DOI: 10.1080/03610739608254010

Source DB:  PubMed          Journal:  Exp Aging Res        ISSN: 0361-073X            Impact factor:   1.645


  19 in total

Review 1.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

Authors:  David Karasik
Journal:  Age (Dordr)       Date:  2010-07-02

2.  Linking biological and cognitive aging: toward improving characterizations of developmental time.

Authors:  Stuart W S MacDonald; Correne A DeCarlo; Roger A Dixon
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-07       Impact factor: 4.077

3.  Contrasting olfaction, vision, and audition as predictors of cognitive change and impairment in non-demented older adults.

Authors:  Stuart W S MacDonald; Connor J C Keller; Paul W H Brewster; Roger A Dixon
Journal:  Neuropsychology       Date:  2018-05       Impact factor: 3.295

Review 4.  BioAge: toward a multi-determined, mechanistic account of cognitive aging.

Authors:  Correne A DeCarlo; Holly A Tuokko; Dorothy Williams; Roger A Dixon; Stuart W S MacDonald
Journal:  Ageing Res Rev       Date:  2014-09-30       Impact factor: 10.895

Review 5.  Disentangling the genetic determinants of human aging: biological age as an alternative to the use of survival measures.

Authors:  David Karasik; Serkalem Demissie; L Adrienne Cupples; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-05       Impact factor: 6.053

Review 6.  Measuring biological age using omics data.

Authors:  Jarod Rutledge; Hamilton Oh; Tony Wyss-Coray
Journal:  Nat Rev Genet       Date:  2022-06-17       Impact factor: 53.242

Review 7.  Deep learning for biological age estimation.

Authors:  Syed Ashiqur Rahman; Peter Giacobbi; Lee Pyles; Charles Mullett; Gianfranco Doretto; Donald A Adjeroh
Journal:  Brief Bioinform       Date:  2021-03-22       Impact factor: 11.622

8.  Immune function parameters as markers of biological age and predictors of longevity.

Authors:  Irene Martínez de Toda; Ianire Maté; Carmen Vida; Julia Cruces; Mónica De la Fuente
Journal:  Aging (Albany NY)       Date:  2016-11-28       Impact factor: 5.682

9.  Genetic and Environmental Influences on Longitudinal Trajectories of Functional Biological Age: Comparisons Across Gender.

Authors:  Deborah Finkel; Ola Sternäng; Åke Wahlin
Journal:  Behav Genet       Date:  2017-05-27       Impact factor: 2.805

Review 10.  Managing an Older Adult with Cancer: Considerations for Radiation Oncologists.

Authors:  Sanders Chang; Nathan E Goldstein; Kavita V Dharmarajan
Journal:  Biomed Res Int       Date:  2017-12-13       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.