An empirical comparative study on biological age estimation algorithms with an application of Work Ability Index (WAI)

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In this study, we described the characteristics of five different biological age (BA) estimation algorithms, including (i) multiple linear regression, (ii) principal component analysis, and somewhat unique methods developed by (iii) Hochschild, (iv) Klemera and Doubal, and (v) a variant of Klemera and Doubal's method. The objective of this study is to find the most appropriate method of BA estimation by examining the association between Work Ability Index (WAI) and the differences of each algorithm's estimates from chronological age (CA). The WAI was found to be a measure that reflects an individual's current health status rather than the deterioration caused by a serious dependency with the age. Experiments were conducted on 200 Korean male participants using a BA estimation system developed principally under the concept of non-invasive, simple to operate and human function-based. Using the empirical data, BA estimation as well as various analyses including correlation analysis and discriminant function analysis was performed. As a result, it had been confirmed by the empirical data that Klemera and Doubal's method with uncorrelated variables from principal component analysis produces relatively reliable and acceptable BA estimates. (C) 2009 Elsevier Ireland Ltd. All rights reserved.
Publisher
ELSEVIER IRELAND LTD
Issue Date
2010-02
Language
English
Article Type
Article
Keywords

REGRESSION-ANALYSIS; FUNCTIONAL AGE; BIOMARKERS; PARAMETERS; MODEL; PRECISION; TESTS

Citation

MECHANISMS OF AGEING AND DEVELOPMENT, v.131, no.2, pp.69 - 78

ISSN
0047-6374
DOI
10.1016/j.mad.2009.12.001
URI
http://hdl.handle.net/10203/94878
Appears in Collection
IE-Journal Papers(저널논문)
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