Biological age models based on a healthy Han Chinese population

• DOI: 10.1016/j.archger.2022.104905
• Publication Date: 2022-12-14T07:24:29Z
• Authors: Zhe Li; Weiguang Zhang; Yuting Duan; Yue Niu; Yan He; Yizhi Chen; Xiaomin Liu; Zheyi Dong; Ying Zheng; Xizhao Chen; Zhe Feng; Yong Wang; Delong Zhao; Xuefeng Sun; Guangyan Cai; Hongwei Jiang; Xiangmei Chen
• Keywords: 0301 basic medicine; Aging; 03 medical and health sciences; Multivariate Analysis; East Asian People; Linear Models; Humans; Blood Pressure; Models, Biological

Biological age (BA) may reflect the actual aging state in humans better than chronological age (CA). The study aimed to construct BA models suitable for the Chinese Han population by selecting appropriate aging markers and evaluation methods.A total of 1207 individuals (21∼91 years) from the Han Chinese population in Beijing were examined for essential organ functions, and 156 cardiovascular, pulmonary function, and atherosclerotic indices and clinical and genetic factors were used as candidate markers of aging. BA models were constructed using multiple linear regression (MLR), principal component analysis (PCA), and the Klemera and Doubal method (KDM). Models were internally and externally validated using cross-validation and disease populations.Nine aging markers were selected. Two MLR, three PCA, and three KDM models were successfully constructed. External validation showed that the difference between CA and BA was most significant in the PCA3 and KDM2 models, while there was no significant difference in the MLR1 and MLR2 models; the fitted lines for BA in the disease population were higher than those in the healthy population in the MLR1, MLR2, KDM1, and KDM2 models, while the other models showed the opposite.Based on a healthy population in Beijing, nine markers representing multiple organ/system functions were screened from the candidate markers, eight methods were successfully used to construct BA models, and the KDM2 model was found to potentially be more appropriate for assessing BA in the Chinese Han population.