Literature DB >> 7011818

The measurement of biological age.

F C Ludwig, M E Smoke.   

Abstract

One of the objectives of gerontological research is to achieve, reproducibly and at will, a verifiable discrepancy between the chronological and biological age of organisms. To accomplish this, the experimenter must be in a position to measure biological age independently. In theory, this can be done in the three ways: by actuarial analysis of large populations, assessment of overall morbidity, or observation of chronic degenerative changes that can be actually measured or graded according to a scale. Of these three approaches, only the last appears to be promising in experimental research. However, not all progressive degenerative changes represent practically useful parameters of biological age. Criteria for their evaluation are presented, and their theoretical prerequisites as well as concrete applications discussed. In a more general way, one has to be aware that biological age is a statistical entity. It cannot be directly observed but only inferred from quantifiable epiphenomena, and is, as such, not measurable like temperature or weight.

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Substances:

Year:  1980        PMID: 7011818     DOI: 10.1080/03610738008258384

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


  13 in total

1.  Prescription use disorders in older adults.

Authors:  Raj K Kalapatapu; Maria A Sullivan
Journal:  Am J Addict       Date:  2010-09-21

Review 2.  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 3.  Has the Rate of Human Aging Already Been Modified?

Authors:  S Jay Olshansky
Journal:  Cold Spring Harb Perspect Med       Date:  2015-12-01       Impact factor: 6.915

4.  A pilot study of neurocognitive function in older and younger cocaine abusers and controls.

Authors:  Raj K Kalapatapu; Nehal P Vadhan; Eric Rubin; Gillinder Bedi; Wendy Y Cheng; Maria A Sullivan; Richard W Foltin
Journal:  Am J Addict       Date:  2011-03-17

Review 5.  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 6.  Molecular and physiological manifestations and measurement of aging in humans.

Authors:  Sadiya S Khan; Benjamin D Singer; Douglas E Vaughan
Journal:  Aging Cell       Date:  2017-05-23       Impact factor: 9.304

7.  Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors.

Authors:  James H Cole
Journal:  Neurobiol Aging       Date:  2020-04-08       Impact factor: 4.673

8.  Predicting all-cause mortality from basic physiology in the Framingham Heart Study.

Authors:  William B Zhang; Zachary Pincus
Journal:  Aging Cell       Date:  2015-10-08       Impact factor: 9.304

9.  Brain-age in midlife is associated with accelerated biological aging and cognitive decline in a longitudinal birth cohort.

Authors:  Maxwell L Elliott; Daniel W Belsky; Annchen R Knodt; David Ireland; Tracy R Melzer; Richie Poulton; Sandhya Ramrakha; Avshalom Caspi; Terrie E Moffitt; Ahmad R Hariri
Journal:  Mol Psychiatry       Date:  2019-12-10       Impact factor: 15.992

Review 10.  Brain age and other bodily 'ages': implications for neuropsychiatry.

Authors:  James H Cole; Riccardo E Marioni; Sarah E Harris; Ian J Deary
Journal:  Mol Psychiatry       Date:  2018-06-11       Impact factor: 15.992

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