Exploring relevant factors of cognitive impairment in the elderly Chinese population using Lasso regression and Bayesian networks

作者全名：Chen, Qiao; Zhou, Tianyi; Zhang, Cong; Zhong, Xiaoni

作者地址：[Chen, Qiao; Zhou, Tianyi; Zhang, Cong; Zhong, Xiaoni] Chongqing Med Univ, Coll Publ Hlth, Chongqing 400016, Peoples R China; [Chen, Qiao] Chongqing Med Univ, Res Ctr Med & Social Dev, Chongqing, Peoples R China

通信作者：Zhong, XN (通讯作者)，Chongqing Med Univ, Coll Publ Hlth, Chongqing 400016, Peoples R China.

来源：HELIYON

ESI学科分类：　

WOS号：WOS:001204134300001

JCR分区：Q1

影响因子：3.4

年份：2024

卷号：10

期号：5

开始页：　

结束页：　

文献类型：Article

关键词：Cognitive impairment; Older adults; CHALRS; Lasso; Bayesian networks

摘要：Older adults are highly susceptible to developing cognitive impairment(CI). Various factors contribute to the prevalence of CI, but the potential relationships among these factors remain unclear. This study aims to explore the relevant factors associated with CI in Chinese older adults and analyze the potential relationships between CI and these factors.We analyzed the data on 6886 older adults aged >= 60 from the China Health and Retirement Longitudinal Study (CHARLS) 2018. Lasso regression was initially used to screening variables. Bayesian Networks(BNs) were used to identify the correlates of CI and potential associations between factors. After screening with Lasso regression, 11 variables were finally included in the BNs. The BNs, by establishing a complex network relationship, revealed that age, education, and indoor air pollution were the direct correlates affecting the occurrence of CI in older adults. It also indicated that marital status indirectly influenced CI through age, and residence indirectly linked to CI through two pathways: indoor air pollution and education.Our findings underscore the effectiveness of BNs in unveiling the intricate network linkages among CI and its associated factors, holding promising applications. It can serve as a reference for public health departments to address the prevention of CI in the elderly.

基金机构：National Key Project for Infectious Diseases of the Ministry of Science and Technology of China; Healthcare Technology Innovation Project of Shijiazhuang Science and Technology Department [211201253]

基金资助正文：This research was funded by the National Key Project for Infectious Diseases of the Ministry of Science and Technology of China (Grant No.2018ZX10721102-005) and the Healthcare Technology Innovation Project of Shijiazhuang Science and Technology Department (Grant No. 211201253) .