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

01-12-2017

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

Authors: 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

Published in: The journal of nutrition, health & aging | Issue 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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Metadata
Title
Model construction for biological age based on a cross-sectional study of a healthy Chinese han population
Authors
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
Publication date
01-12-2017
Publisher
Springer Paris
Published in
The journal of nutrition, health & aging / Issue 10/2017
Print ISSN: 1279-7707
Electronic ISSN: 1760-4788
DOI
https://doi.org/10.1007/s12603-017-0874-7

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