Evidence map›Paper›PMID 40119954›Full record

ArticleBiogerontology2025

Triglycerides, high-density lipoprotein and cognitive function in middle-aged and older adults: a cross-sectional analysis.

Lanying Xie, Huanhuan Luo, Yajie Zhao, Yuqing Hao, Jie Gao, Chao Sun, Huixiu Hu

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Article in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lanying Xie *School of Nursing, Beijing University of Chinese Medicine, Beijing, China.
Huanhuan Luo *Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Yajie ZhaoDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Yuqing HaoDepartment of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Jie GaoSchool of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chao SunDepartment of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China. sunchaobjyy@163.com.
Huixiu HuDepartment of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China. 18610145247@163.com.

Funding

Fundamental Research Funds for the Central Universities 3332023093National Natural Science Foundation of China 72304046National Natural Science Foundation of China 72474032Peking Union Medical College Central Universities' Basic Research Operating Expenses Project 3332023093
6 · The paper itself

Abstract

As China's population continues to age, addressing cognitive decline related to aging has become increasingly important. Simultaneously, rapid economic development has led to rising concerns about lipid metabolism disorders, particularly those involving blood lipids. Identifying modifiable risk factors early is critical to enhancing cognitive function in older adults. Thus, this study focuses on the relationship between triglycerides (TG), high-density lipoprotein (HDL), and cognitive performance to investigate potential mechanisms. A cross-sectional study was conducted using data from the 2015 China Health and Retirement Longitudinal Study (CHARLS) survey. Cognitive function was assessed across three domains: global cognition, episodic memory, and mental status. Fasting blood samples were analyzed for triglycerides and high-density lipoprotein (HDL) levels. The relationship between triglycerides, HDL, and cognitive function was examined using restricted cubic spline (RCS) analysis, multivariate linear regression, and mediation analysis. The analysis identifies a non-linear, inverse U-shaped relationship between triglycerides and both global cognition and episodic memory, with significant inflection points at a triglyceride (TG) level of 202.65 for global cognition and 115.04 for episodic memory. No non-linear relationship was observed between High-Density Lipoprotein (HDL) and cognitive outcomes, including global cognition, episodic memory, or mental status (p > 0.05). Linear mixed models indicate that HDL has a positive association with episodic memory, as shown by HDLQ1 (B = 0.0033, 95% CI: 0, 0.569), HDLQ2 (B = 0.039, 95% CI: 0.051, 0.594), and HDLQ3 (B = 0.033, 95% CI: 0.004, 0.556) compared to HDLQ4. A combined analysis of TG and HDL on episodic memory further demonstrated that the ''High-TG-low-HDL'' group (B = 0.036, 95% CI: 0.043, 0.578) had a significantly positive effect compared to the "High-HDL-low-TG" group. Mediation analysis revealed that Body Mass Index (BMI) indirectly mediated the HDL-episodic memory relationship, with a mediation effect size of 22.2%. In conclusion, this study explored the interplay between triglyceride levels, high-density lipoprotein cholesterol (HDL-C) levels, and cognitive function among middle-aged and elderly individuals in China. The findings reveal a U-shaped inverse relationship between triglyceride concentrations and cognitive ability, underscoring the need to maintain optimal triglyceride levels for cognitive health. Additionally, lower HDL levels (HDLQ1-Q3) were found to positively affect cognitive function, particularly in overall cognition and episodic memory, compared to higher HDL levels (HDLQ4). Importantly, body mass index (BMI) mediated the influence of HDL on episodic memory, with an effect size of 22.2%.

Indexed as

AgingCognitionCognitive DysfunctionLipoproteins, HDLTriglyceridesAgedChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMemory, EpisodicMiddle AgedRisk FactorsLipoproteins, HDLTriglyceridesCognitive functionHigh-density lipoproteinIntermediary analysisMiddle-agedOlder adultsTriglycerides

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.