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Erschienen in: The journal of nutrition, health & aging 10/2017

19.01.2017

Model construction for biological age based on a cross-sectional study of a healthy Chinese han population

verfasst von: W. Zhang, L. Jia, G. Cai, F. Shao, H. Lin, Z. Liu, F. Liu, D. Zhao, Z. Li, X. Bai, Z. Feng, XueFeng Sun, Xiang-Mei Chen

Erschienen in: The journal of nutrition, health & aging | Ausgabe 10/2017

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Abstract

Objectives

Biological age (BA) has been proposed to evaluate the aging status in an objective way instead of chronological age (CA). The purpose of our study is to construct a more precise formula of BA in the cross-sectional study based on a largest-ever sample of our studies. This formula aims at better evaluation of body function and exploring the disciplines of aging in different genders and age stages.

Methods

A total of 1,373 healthy Chinese Han (age range, 19-93 years) were recruited from five cities in China, including 581 males and 792 females. Physical examination, blood routine, blood chemistry, and other lab tests were performed to obtain a total of 74 clinical variables. Then, the principal component analysis (PCA) was used to select variables and estimate BA. The BA formula was further validated in a population with some diseases (n=266), including cardiovascular diseases, type 2 diabetes, kidney diseases, pulmonary diseases, cancer and disorders in nervous system.

Results

The BA formula was constructed as follows: BA = 0.358 (pulse pressure) + 0.258 (trail making test)–11.552 (mitral valve E/A peak) + 26.383 (minimum intima-media thickness) + 31.965 (Cystatin C) + 0.163 (CA)–3.902. In validation of the formula, BAs of patients were older than those of healthy persons. The BA accelerates faster in the middle-aged population than in the elderly population (>75 years old).

Conclusion

This BA formula can reflect health condition changes of aging better than CA in a Chinese Han population.
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Metadaten
Titel
Model construction for biological age based on a cross-sectional study of a healthy Chinese han population
verfasst von
W. Zhang
L. Jia
G. Cai
F. Shao
H. Lin
Z. Liu
F. Liu
D. Zhao
Z. Li
X. Bai
Z. Feng
XueFeng Sun
Xiang-Mei Chen
Publikationsdatum
19.01.2017
Verlag
Springer Paris
Erschienen in
The journal of nutrition, health & aging / Ausgabe 10/2017
Print ISSN: 1279-7707
Elektronische ISSN: 1760-4788
DOI
https://doi.org/10.1007/s12603-017-0874-7

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