Evidence map›Paper›PMID 38890653›Full record

ArticleBMC public health2024

U-shaped relationship between non-high-density lipoprotein cholesterol and cognitive impairment in Chinese middle-aged and elderly: a cross-sectional study.

Lei Li, Lingdan Zhuang, Zichen Xu, Luqing Jiang, Ying Zhai, Daoqin Liu, Qiwen Wu

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

18 citing papers in PubMed.

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  5. Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and cognitive impairment in middle-aged and elderly Chinese population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  13. Dyslipidemia and cerebral atrophy among health check-up individuals: A cross-sectional study.International journal of cardiology. Cardiovascular risk and prevention · 2025
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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.

Lei Li *Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China.
Lingdan Zhuang *Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China.
Zichen Xu *Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China.
Luqing JiangClinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China.
Ying ZhaiClinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China.
Daoqin LiuDepartment of Kidney Medicine, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China. liudaoqincom@163.com.
Qiwen WuClinical Laboratory, The First Affiliated Hospital of Wannan Medical College, No. 2, West Zheshan Road, Wuhu, Anhui, 241001, China. yjslab@163.com.

Funding

Education Department of Anhui Province No.2022AH051221Wannan Medical College No.LAB2022 04
6 · The paper itself

Abstract

backgroundThe relationship between blood lipids and cognitive function has long been a subject of interest, and the association between serum non-high-density lipoprotein cholesterol (non-HDL-C) levels and cognitive impairment remains contentious.

methodsWe utilized data from the 2011 CHARLS national baseline survey, which after screening, included a final sample of 10,982 participants. Cognitive function was assessed using tests of episodic memory and cognitive intactness. We used multiple logistic regression models to estimate the relationship between non-HDL-C and cognitive impairment. Subsequently, utilizing regression analysis results from fully adjusted models, we explored the nonlinear relationship between non-HDL-C as well as cognitive impairment using smooth curve fitting and sought potential inflection points through saturation threshold effect analysis.

resultsThe results showed that each unit increase in non-HDL-C levels was associated with a 5.5% reduction in the odds of cognitive impairment (OR = 0.945, 95% CI: 0.897-0.996; p < 0.05). When non-HDL-C was used as a categorical variable, the results showed that or each unit increase in non-HDL-C levels, the odds of cognitive impairment were reduced by 14.2%, 20.9%, and 24% in the Q2, Q3, and Q4 groups, respectively, compared with Q1. In addition, in the fully adjusted model, analysis of the potential nonlinear relationship by smoothed curve fitting and saturation threshold effects revealed a U-shaped relationship between non-HDL-C and the risk of cognitive impairment, with an inflection point of 4.83. Before the inflection point, each unit increase in non-HDL-C levels was associated with a 12.3% decrease in the odds of cognitive impairment. After the tipping point, each unit increase in non-HDL-C levels was associated with an 18.8% increase in the odds of cognitive impairment (All p < 0.05).

conclusionThere exists a U-shaped relationship between non-HDL-C and the risk of cognitive impairment in Chinese middle-aged and elderly individuals, with statistical significance on both sides of the turning points. This suggests that both lower and higher levels of serum non-high-density lipoprotein cholesterol increase the risk of cognitive impairment in middle-aged and elderly individuals.

Indexed as

Cognitive DysfunctionAgedChinaCholesterolCholesterol, HDLCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedRisk FactorsCholesterolCholesterol, HDLCHARLSCognitive impairmentNon-HDL-CU-shaped relationship

Identifiers

PMID38890653
PMCPMC11186169

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Registered trials

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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.