郑州大学学报（医学版）2025，Vol.60Issue(4)：452-455,4.DOI:10.13705/j.issn.1671-6825.2025.04.212
基于多种临床常规标志物的中国人群生物学年龄模型的构建
Construction of biological age model based on multiple routine clinical biomarkers for the Chinese population
摘要
Abstract
Aim:To construct biological age(BA)models using multiple routine clinical biomarkers.Methods:A total of 8 133 individuals aged 20-79 years were selected from the 2009 China Health and Nutrition Survey database,with 3 788 males and 4 345 females.Twelve biomarkers comprising clinical blood biochemical indicators and anthropometric measure-ment indicators were combined,Klemera-Doubal method(KDM)was applied to construct biological age(KDM-BA)for each combination.The combination of all 12 biomarkers was identified as the optimal model,and its estimated BA was designated KDM-BA12.KDM-BA with a difference of less than 3 years from KDM-BA12 was taken as the superior model.The difference between KDM-BA12 and chronological age was taken as the KDM-BA12 acceleration.Pearson correlation analysis was used to evaluate the correlation between the superior KDM-BA and KDM-BA12.Generalized linear regression was conducted to as-sess the association of smoking,alcohol consumption with the KDM-BA12 acceleration.Results:A total of 4 083 combina-tions of the 12 biomarkers were generated,668 were superior models,and the correlation coefficient with KDM-BA12 of 232 superior models was greater than 0.990.The results of generalized linear regression showed that smoking and alcohol con-sumption were significantly associated with KDM-BA12 acceleration,β(95％CI)was 0.77(0.67-0.86)and 0.59(0.49-0.68),respectively.Conclusion:KDM-BA model based on multiple routine clinical biomarkers has been successfully con-structed.关键词
生物学年龄/Klemera-Doubal方法/动态组合筛选/衰老Key words
biological age/Klemera-Doubal method/dynamic combination filtering/aging分类
医药卫生引用本文复制引用
李梦涵,高晨阳,秦琅,赵祥凯,谷志广,王彭彭,王威,刘足云..基于多种临床常规标志物的中国人群生物学年龄模型的构建[J].郑州大学学报（医学版）,2025,60(4):452-455,4.基金项目
国家自然科学基金项目(81872597,82171584) （81872597,82171584）
河南省中原英才计划基础研究领军人才项目(33220026) （33220026）
浙江大学医学院老化病防治研究中心项目(2022010002) （2022010002）
