[Biological Aging Affects the Rate of Cognitive Decline in Middle-aged and Elderly Populations: A Cohort Study Based on CHARLS].

Q3 Medicine

四川大学学报(医学版) Pub Date : 2025-03-20 DOI:10.12182/20250360203

Huiyu He, Mengling Wei, Jiao Zhong, Juan Wang, Lei Huang, Yajia Lan, Yang Zhang

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引用次数: 0

Abstract

Objective: To investigate the relationship between biological aging and the rate of cognitive decline in middle-aged and elderly populations.

Methods: Longitudinal tracking data of cognitive function were obtained from the China Health and Retirement Longitudinal Study (CHARLS). We employed the Klemera and Doubal method (KDM) to estimate biological age (BA), and calculate the biological aging index (BAI) and biological aging type (BAT). A multivariate linear regression model was employed to analyze the relationships between baseline BAI, BAT, and cognitive function scores. Based on the baseline analysis, a mixed-effects model was used to examine the longitudinal associations between baseline BAI, BAT, and cognitive function during follow-up.

Results: A total of 5897 participants were included in the study. BAI was found to be negatively associated with baseline cognitive function scores, with the partial regression coefficient (β) (95% CI) being －0.185 (－0.231, －0.139) (P < 0.001). Compared with the lagged aging group, the premature aging group had lower cognitive function scores (β [95% CI]: －0.741 [－0.966, －0.516]). For age and sex, for each additional year of baseline BAI, cognitive function scores declined by an average of 0.012 (95% CI: －0.019, －0.005) points per year after adjusting for age and sex, and declined by 0.011 (95% CI: －0.018, －0.004) points per year after adjusting for other covariates. Compared with participants with lagged aging, those with premature aging experienced, on average, an additional decline of 0.042 (95% CI: －0.075, 0.009) points per year in cognitive function scores after adjusting for age and sex alone, and by 0.039 (95% CI: －0.072, －0.007) points per year after adjusting for other covariates.

Conclusion: Biological aging affects the rate of cognitive decline in middle-aged and elderly populations. A higher BAI is associated with a faster decline in cognitive function. Compared with those with lagged aging, individuals with premature aging exhibit a more rapid rate of cognitive decline.

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[生物衰老影响中老年人群认知能力下降的速度：基于CHARLS的队列研究]。

目的：探讨生物老化与中老年人群认知能力下降的关系。方法：认知功能的纵向跟踪数据来源于中国健康与退休纵向研究（CHARLS）。采用Klemera和double法（KDM）估算生物年龄（BA），并计算生物老化指数（BAI）和生物老化类型（BAT）。采用多元线性回归模型分析基线BAI、BAT和认知功能评分之间的关系。在基线分析的基础上，采用混合效应模型检查随访期间基线BAI、BAT和认知功能之间的纵向关联。结果：本研究共纳入5897名受试者。BAI与基线认知功能评分呈负相关，部分回归系数（β）（95% CI）为-0.185 (-0.231,-0.139)（P < 0.001）。与滞后衰老组相比，早衰组认知功能评分较低（β [95% CI]: -0.741[-0.966, -0.516]）。对于年龄和性别，基线BAI每增加一年，在调整年龄和性别后，认知功能评分每年平均下降0.012 （95% CI: -0.019, -0.005）点，在调整其他协变量后，每年平均下降0.011 （95% CI: -0.018, -0.004）点。与滞后衰老的参与者相比，那些过早衰老的参与者在单独调整年龄和性别后，认知功能得分平均每年额外下降0.042 （95% CI: -0.075, 0.009）分，在调整其他协变量后，每年平均下降0.039 （95% CI: -0.072, -0.007）分。结论：生物老化影响中老年人群认知能力下降的速度。较高的BAI与认知功能的快速下降有关。与滞后衰老的个体相比，过早衰老的个体表现出更快的认知衰退速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

四川大学学报(医学版) Biochemistry, Genetics and Molecular Biology-Molecular Biology

CiteScore

0.70

自引率

0.00%

发文量

8695

期刊介绍： "Journal of Sichuan University (Medical Edition)" is a comprehensive medical academic journal sponsored by Sichuan University, a higher education institution directly under the Ministry of Education of the People's Republic of China. It was founded in 1959 and was originally named "Journal of Sichuan Medical College". In 1986, it was renamed "Journal of West China University of Medical Sciences". In 2003, it was renamed "Journal of Sichuan University (Medical Edition)" (bimonthly). "Journal of Sichuan University (Medical Edition)" is a Chinese core journal and a Chinese authoritative academic journal (RCCSE). It is included in the retrieval systems such as China Science and Technology Papers and Citation Database (CSTPCD), China Science Citation Database (CSCD) (core version), Peking University Library's "Overview of Chinese Core Journals", the U.S. "Index Medica" (IM/Medline), the U.S. "PubMed Central" (PMC), the U.S. "Biological Abstracts" (BA), the U.S. "Chemical Abstracts" (CA), the U.S. EBSCO, the Netherlands "Abstracts and Citation Database" (Scopus), the Japan Science and Technology Agency Database (JST), the Russian "Abstract Magazine", the Chinese Biomedical Literature CD-ROM Database (CBMdisc), the Chinese Biomedical Periodical Literature Database (CMCC), the China Academic Journal Network Full-text Database (CNKI), the Chinese Academic Journal (CD-ROM Edition), and the Wanfang Data-Digital Journal Group.