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Dataset Information

Association between kidney function and biological age: a China Health and Retirement Longitudinal Study.


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 level

SUBMITTER: Peng S 

PROVIDER: S-EPMC10757928 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature