Literature DB >> 2684676

Improving the precision of biological age determinations. Part 1: A new approach to calculating biological age.

R Hochschild1.   

Abstract

In calculating biological age, almost all prior studies used multiple regression of chronological age on scores of biomarkers of aging. Multiple regression is invalid for this purpose for three, and in some circumstances four, reasons. These are: a) weighting of the contribution of each biomarker's scores according to strength of association with chronological age; b) regression of calculated ages to sample mean age and the inadequacy of proposed corrections; c) frequent occurrence of regression coefficients whose sign equates poorer adult performance on a test to younger biological ages; and d) multicollinearity when lung function scores and height are on the same side of the regression equation. An alternative method for calculating biological age is outlined. Regression to sample mean age and its solution are illustrated on data for highest audible pitch, one of 12 biomarkers measured in a study of 2462 office workers. Prior published studies employing multiple regression to calculate biological age appear to have been in error.

Mesh:

Year:  1989        PMID: 2684676     DOI: 10.1016/0531-5565(89)90002-8

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  8 in total

Review 1.  Frailty biomarkers in humans and rodents: Current approaches and future advances.

Authors:  Alice E Kane; David A Sinclair
Journal:  Mech Ageing Dev       Date:  2019-04-17       Impact factor: 5.432

2.  Heterogeneity of Human Aging and Its Assessment.

Authors:  Arnold Mitnitski; Susan E Howlett; Kenneth Rockwood
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-07-01       Impact factor: 6.053

Review 3.  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

Review 4.  Construction Formula of Biological Age Using the Principal Component Analysis.

Authors:  Linpei Jia; Weiguang Zhang; Rufu Jia; Hongliang Zhang; Xiangmei Chen
Journal:  Biomed Res Int       Date:  2016-12-06       Impact factor: 3.411

5.  Biological age as a useful index to predict seventeen-year survival and mortality in Koreans.

Authors:  Jinho Yoo; Yangseok Kim; Eo Rin Cho; Sun Ha Jee
Journal:  BMC Geriatr       Date:  2017-01-05       Impact factor: 3.921

Review 6.  Common methods of biological age estimation.

Authors:  Linpei Jia; Weiguang Zhang; Xiangmei Chen
Journal:  Clin Interv Aging       Date:  2017-05-11       Impact factor: 4.458

7.  A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study.

Authors:  Xingqi Cao; Guanglai Yang; Xurui Jin; Liu He; Xueqin Li; Zhoutao Zheng; Zuyun Liu; Chenkai Wu
Journal:  Front Med (Lausanne)       Date:  2021-12-01

8.  Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity.

Authors:  Syed Ashiqur Rahman; Donald A Adjeroh
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  8 in total

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