ArticleThe journal of nutrition, health & aging2017
Model Construction for Biological Age Based on a Cross-Sectional Study of a Healthy Chinese Han population.
Article in The journal of nutrition, health & aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Artificial intelligence approaches in biological age prediction: current status and challenges.British journal of biomedical science · 2026Review
- A sex-adjusted 7-biomarker clinical aging clock for translational preventative medicine.Scientific reports · 2025Article
- Association of clinical biomarker-based biological age and aging trajectory with cardiovascular disease and all-cause mortality in Chinese adults: a population-based cohort study.BMC public health · 2025Article
- Article
- Progress in the study of aging marker criteria in human populations.Frontiers in public health · 2024Review
- Review
- HIV-Infected Patients as a Model of Aging.Microbiology spectrum · 2023Article
- Progress in biological age research.Frontiers in public health · 2023Review
- Development and Validation of 2 Composite Aging Measures Using Routine Clinical Biomarkers in the Chinese Population: Analyses From 2 Prospective Cohort Studies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study.Frontiers in medicine · 2021Article
- A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development.JMIR research protocols · 2020Article
- Application of biological age assessment of Chinese population in potential anti-ageing technology.Immunity & ageing : I & A · 2018Article
- Common methods of biological age estimation.Clinical interventions in aging · 2017Review
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesBiological 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.
methodsA 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.
resultsThe 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).
conclusionThis BA formula can reflect health condition changes of aging better than CA in a Chinese Han population.
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