Construction Formula of Biological Age Using the Principal Component Analysis

Joint Authors

Chen, Xiangmei
Jia, Linpei
Zhang, Weiguang
Jia, Rufu
Zhang, Hongliang

Source

BioMed Research International

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-12-06

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biological markers of ageing.

Different from traditional concepts, the BA equation does not emphasize the importance of a golden index but focuses on using indices of vital organs to represent the senescence of whole body.

This model has been used to assess the ageing process in a more precise way and may predict possible diseases better as compared with the chronological age (CA).

The principal component analysis (PCA) is applied as one of the common and frequently used methods in the construction of the BA formula.

Compared with other methods, PCA has its own study procedures and features.

Herein we summarize the up-to-date knowledge about the BA formula construction and discuss the influential factors, so as to give an overview of BA estimate by PCA, including composition of samples, choices of test items, and selection of ageing biomarkers.

We also discussed the advantages and disadvantages of PCA with reference to the construction mechanism, accuracy, and practicability of several common methods in the construction of the BA formula.

American Psychological Association (APA)

Jia, Linpei& Zhang, Weiguang& Jia, Rufu& Zhang, Hongliang& Chen, Xiangmei. 2016. Construction Formula of Biological Age Using the Principal Component Analysis. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1097874

Modern Language Association (MLA)

Jia, Linpei…[et al.]. Construction Formula of Biological Age Using the Principal Component Analysis. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1097874

American Medical Association (AMA)

Jia, Linpei& Zhang, Weiguang& Jia, Rufu& Zhang, Hongliang& Chen, Xiangmei. Construction Formula of Biological Age Using the Principal Component Analysis. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1097874

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1097874