Literature DB >> 6967883

Assessment of biological age using a profile of physical parameters.

G A Borkan, A H Norris.   

Abstract

The present study describes a new approach to the assessment of biological age in adults using a profile of physical parameters. The investigation was based on data from 1086 adult male participants in the aging study of the Gerontology Research Ctr., Baltimore, MD. For each of 24 age-related variables, data were transformed into biological age scores reflecting a man's status relative to his chronological age peers. Analysis of the mean biological age profiles of men who were estimated by physicians as looking older than their age showed them to be biologically older on the profile parameters as well. Comparison of age-corrected scores of 166 men who have died with those of survivors reveals the deceased group to have been biologically older than the survivors at the time they were measured. These results suggest the value of this technique in investigating interindividual variation in the aging process.

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Year:  1980        PMID: 6967883     DOI: 10.1093/geronj/35.2.177

Source DB:  PubMed          Journal:  J Gerontol        ISSN: 0022-1422


  36 in total

1.  Age variation in the upper limit of hearing.

Authors:  S Takeda; I Morioka; K Miyashita; A Okumura; Y Yoshida; K Matsumoto
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

2.  Measurements of age-related changes of physiological processes that predict lifespan of Caenorhabditis elegans.

Authors:  Cheng Huang; Chengjie Xiong; Kerry Kornfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-12       Impact factor: 11.205

Review 3.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

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

4.  Mortality is Written on the Face.

Authors:  David Andrew Gunn; Lisbeth Aagaard Larsen; Jaspal Singh Lall; Helle Rexbye; Kaare Christensen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-08-11       Impact factor: 6.053

5.  Macro- and micro-level predictors of age categorization: results from the European Social Survey.

Authors:  Liat Ayalon; Israel Doron; Ehud Bodner; Noit Inbar
Journal:  Eur J Ageing       Date:  2013-05-22

6.  C57BL/6 neuromuscular healthspan scoring system.

Authors:  Ted G Graber; Lisa Ferguson-Stegall; Jong-Hee Kim; LaDora V Thompson
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-04-12       Impact factor: 6.053

7.  Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

Authors:  Emma Pierson; Pang Wei Koh; Tatsunori Hashimoto; Daphne Koller; Jure Leskovec; Nicholas Eriksson; Percy Liang
Journal:  Proc Mach Learn Res       Date:  2019-04

8.  Age-related differences in healing of superficial skin wounds in humans.

Authors:  G L Grove
Journal:  Arch Dermatol Res       Date:  1982       Impact factor: 3.017

9.  Perceived age as clinically useful biomarker of ageing: cohort study.

Authors:  Kaare Christensen; Mikael Thinggaard; Matt McGue; Helle Rexbye; Jacob V B Hjelmborg; Abraham Aviv; David Gunn; Frans van der Ouderaa; James W Vaupel
Journal:  BMJ       Date:  2009-12-10

10.  Why some women look young for their age.

Authors:  David A Gunn; Helle Rexbye; Christopher E M Griffiths; Peter G Murray; Amelia Fereday; Sharon D Catt; Cyrena C Tomlin; Barbara H Strongitharm; Dave I Perrett; Michael Catt; Andrew E Mayes; Andrew G Messenger; Martin R Green; Frans van der Ouderaa; James W Vaupel; Kaare Christensen
Journal:  PLoS One       Date:  2009-12-01       Impact factor: 3.240

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