ArticleFrontiers in public health2023
Association between kidney function and biological age: a China Health and Retirement Longitudinal Study.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Recognizing and Mitigating the Effects of Medication on Heat-Related Illness in Older Adults: A Scoping Review.Pharmacy (Basel, Switzerland) · 2026Review
- Biological age acceleration, longitudinal change and mortality risk in the Dutch Lifelines cohort.GeroScience · 2026Article
- Associations of accelerated biological aging with intraoperative hypotension in major surgery: a multicenter cohort study of 116,996 patients.Annals of medicine · 2025Article
- Joint association of frailty index and biological age with chronic obstructive pulmonary disease: a cohort study from CHARLS.Scientific reports · 2025Article
- Article
- Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study.JMIR aging · 2025Article
- Interaction of household air pollution and healthy lifestyle on the risk of sarcopenia: China Health and Retirement Longitudinal Study.Environmental health and preventive medicine · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Introduction: The chronological age (CA) cannot precisely reflect the health status. Our study aimed to establish a model of kidney biological age to evaluate kidney function more elaborately. Methods: The modeling group was used to establish the model, consisting of 1,303 respondents of the China Health and Retirement Longitudinal Study (CHARLS). The biological age of the kidney (BA) was constructed by principal component analysis (PCA) and Klemera and Doubal's method (KDM) with the 1,303 health respondents. Results: PCA was chosen as the best method for our research step by step. The test group was used to apply the model. (a) BA of the kidney can distinguish respondents with from without kidney disease. (b) BA of the kidney was significantly different in various levels of kidney function. The BA of the eGFR <60 group and 60 ≤ eGFR <90 group were older than GFR ≥90 group. (c) The group with younger BA of kidney at baseline had a lower risk of kidney function decreased. (d) The risk of decreased kidney function caused by increasing BA every additional year is higher than Discussion: The BA of the kidney is a parameter negatively correlated with decreased kidney function and fills the blank of evaluation among people in the middle of heathy and kidney diseases.
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