Literature DB >> 29188884

Model Construction for Biological Age Based on a Cross-Sectional Study of a Healthy Chinese Han population.

W Zhang1, L Jia, G Cai, F Shao, H Lin, Z Liu, F Liu, D Zhao, Z Li, X Bai, Z Feng, X Sun, X Chen.   

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.

Entities:  

Keywords:  Biological age; chronological age; principal component analysis

Mesh:

Year:  2017        PMID: 29188884     DOI: 10.1007/s12603-017-0874-7

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


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