Baseline and follow-up change of cholesterol levels predict dementia risk and progression in older adults: a U-shaped relationship

作者
Pai-Yi Chiu,Hongming Chen,Hsin-Te Chang
出处
期刊:Alzheimer's Research & Therapy [BioMed Central]
标识
DOI:10.1186/s13195-025-01910-8
摘要

Abstract Introduction Previous studies on serum lipid levels and cognitive outcomes have shown inconsistent results, partly due to differences in timing of lipid assessment, cognitive status, and lack of longitudinal data. This study aimed to examine both baseline and longitudinal changes in lipid profiles in relation to dementia onset and cognitive progression across different stages of cognitive impairment. Methods A retrospective cohort study was conducted using data from the History-Based Artificial Intelligent Clinical Dementia Diagnostic System (HAICDDS), a multicenter memory clinic registry in Taiwan. Among 2,452 adults aged ≥ 60 years, lipid levels (total cholesterol, low-density lipoprotein cholesterol [LDL-c], high-density lipoprotein cholesterol [HDL-c], and triglycerides [TG]) were assessed at baseline and follow-up. Participants were stratified into subjective cognitive decline, mild cognitive impairment, or dementia. Cox proportional hazards models were used to evaluate associations with incident dementia or cognitive progression. Results U-shaped associations were observed between lipid levels and cognitive outcomes. After adjusting for demographic and vascular risk factors, both low baseline values and extreme reductions—particularly in HDL-c and TG—were significantly associated with increased risk of dementia onset or progression. Conclusion Lipid instability, especially in HDL-c and TG, may serve as a marker of cognitive vulnerability. These findings suggest that longitudinal changes in serum cholesterol should be carefully monitored in older adults at risk of cognitive decline.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
哈皮兔完成签到 ,获得积分10
刚刚
2秒前
向阳发布了新的文献求助10
2秒前
小曹医生发布了新的文献求助10
3秒前
XXXAAA完成签到,获得积分10
3秒前
ding应助xiaoyaczl采纳,获得10
4秒前
4秒前
大个应助Lee采纳,获得10
5秒前
科研通AI2S应助小宋采纳,获得10
5秒前
liming发布了新的文献求助10
5秒前
6秒前
赵云龙完成签到,获得积分20
7秒前
7秒前
7秒前
影唯完成签到,获得积分10
8秒前
dbc1234完成签到,获得积分10
8秒前
简单的凡儿完成签到,获得积分10
8秒前
Northstar发布了新的文献求助20
9秒前
舒适的天玉完成签到,获得积分10
9秒前
小蘑菇应助YJL采纳,获得10
9秒前
细心尔蓝完成签到,获得积分10
10秒前
tang发布了新的文献求助10
11秒前
春风不语发布了新的文献求助10
11秒前
安静完成签到,获得积分10
11秒前
最爱写论文的我完成签到 ,获得积分10
12秒前
蟹治猿完成签到 ,获得积分10
12秒前
坚强的凝云完成签到,获得积分10
12秒前
14秒前
15秒前
16秒前
春风不语完成签到,获得积分10
18秒前
明亮凡儿发布了新的文献求助10
18秒前
李健的小迷弟应助Lee采纳,获得10
18秒前
木木林发布了新的文献求助10
18秒前
18秒前
啦啦啦完成签到 ,获得积分10
18秒前
X_x完成签到 ,获得积分10
19秒前
科研通AI6.3应助sss采纳,获得10
20秒前
20秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6430607
求助须知:如何正确求助?哪些是违规求助? 8246623
关于积分的说明 17537179
捐赠科研通 5487103
什么是DOI,文献DOI怎么找? 2895938
邀请新用户注册赠送积分活动 1872439
关于科研通互助平台的介绍 1712099