Literature DB >> 6667706

Toward the behavioral assessment of biological aging in the laboratory mouse: concepts, terminology, and objectives.

D K Ingram.   

Abstract

The thesis is presented that much of the controversy and confusion concerning the measurement of biological aging stems from the lack of agreement on clearly defined objectives, constructs, and methods to validate measures. To alleviate some of the confusion, basic terminology borrowed from psychometrics is offered to provide a conceptual framework within which such issues can be discussed. This psychometric nomenclature is subsequently applied to the development and evaluation of a test battery designed to assess biological aging in laboratory mice at a behavioral level of analysis. Reference is made to the assessment of reliability, content validity, construct validity, and predictive validity of tests of biological aging.

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Year:  1983        PMID: 6667706     DOI: 10.1080/03610738308258457

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


  14 in total

1.  Battery of behavioral tests in mice that models age-associated changes in human motor function.

Authors:  Jamie N Justice; Christy S Carter; Hannah J Beck; Rachel A Gioscia-Ryan; Matthew McQueen; Roger M Enoka; Douglas R Seals
Journal:  Age (Dordr)       Date:  2014-04

Review 2.  Age-related fibrillar deposits in brains of C57BL/6 mice. A review of localization, staining characteristics, and strain specificity.

Authors:  M Jucker; L C Walker; H Kuo; M Tian; D K Ingram
Journal:  Mol Neurobiol       Date:  1994 Aug-Dec       Impact factor: 5.590

3.  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

4.  The effects of aging and oxidative stress on psychomotor and cognitive behavior.

Authors:  B Shukitt-Hale
Journal:  Age (Omaha)       Date:  1999-01

Review 5.  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

6.  Biological age versus physical fitness age.

Authors:  E Nakamura; T Moritani; A Kanetaka
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1989

7.  Aging can be genetically dissected into component processes using long-lived lines of Caenorhabditis elegans.

Authors:  T E Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  1987-06       Impact factor: 11.205

8.  Biological age versus physical fitness age in women.

Authors:  E Nakamura; T Moritani; A Kanetaka
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

9.  Aging in the cerebellum and hippocampus and associated behaviors over the adult life span of CB6F1 mice.

Authors:  J A Kennard; K L Brown; D S Woodruff-Pak
Journal:  Neuroscience       Date:  2013-06-11       Impact factor: 3.590

10.  How long will my mouse live? Machine learning approaches for prediction of mouse life span.

Authors:  William R Swindell; James M Harper; Richard A Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-09       Impact factor: 6.053

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