Evidence map›Paper›PMID 40295965›Full record

ArticleBMC cardiovascular disorders2025

LDL-C/HDL-C ratio as a predictor of atherosclerosis in the Japanese population: insights from a cross-sectional study.

Yan Jiang, Lina Zhang, Zhifeng Gu

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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yan JiangDalian Medical University, Dalian, Liaoning, China.
Lina ZhangDepartment of Cardiology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226000, China.
Zhifeng GuDalian Medical University, Dalian, Liaoning, China. guzf@ntu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis is a major contributor to cardiovascular disease, and dyslipidemia, particularly low-density lipoprotein cholesterol (LDL-C)/ high-density lipoprotein cholesterol (HDL-C) ratio, plays a critical role in its pathogenesis. Although extensive research has been conducted in Western populations, the relationship between LDL-C/HDL-C ratio and atherosclerosis in the Japanese population remains underexplored. The aim of this study was to investigate the association between LDL-C/HDL-C ratio and atherosclerosis, as measured by brachial-ankle pulse wave velocity (baPWV), in a Japanese cohort.

methodsThis secondary analysis used data from a cross-sectional study involving 912 participants. LDL-C/HDL-C ratio was calculated from fasting blood samples and baPWV was used to assess atherosclerosis. Univariate and multivariate analyses were performed to evaluate the association between LDL-C/HDL-C ratio and baPWV, adjusting for age, sex, body mass index (BMI), and other potential confounders. Subgroup analyses were performed to explore variations by demographic and clinical factors.

resultsThe mean age of the study population was 51.1 years, and 64.9% were male. Significant differences were observed across LDL-C/HDL-C ratio tertiles for age, sex, BMI, blood pressure, liver enzymes, lipid profiles and lifestyle factors (p < 0.001 for most). Univariate analyses showed strong associations between atherosclerosis and age, sex, BMI, blood pressure, liver function markers, metabolic factors and lifestyle behaviours (p < 0.001 for most). Multivariate linear regression models were used to examine the association between LDL-C/HDL-C ratio and baPWV, adjusting for factors such as age, sex, BMI, and other metabolic variables. Subgroup analyses showed significant associations between LDL-C/HDL-C ratio and baPWV in women (p = 0.036), participants aged < 55 years (p = 0.009), and those with BMI < 25 kg/m² (p = 0.044). No significant interactions were observed between subgroups (p for interaction > 0.05).

conclusionsLDL-C/HDL-C ratio is significantly associated with atherosclerosis in the Japanese population, with varying strength in different demographic and clinical subgroups. These findings highlight the importance of LDL-C/HDL-C ratio as a predictor of atherosclerosis and underscore the need for targeted interventions to manage cardiovascular risk in this population. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AtherosclerosisCholesterol, HDLCholesterol, LDLDyslipidemiasAdultAgedAnkle Brachial IndexBiomarkersCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanMaleMiddle AgedPredictive Value of TestsBiomarkersCholesterol, HDLCholesterol, LDLArterial stiffnessAtherosclerosisBrachial-ankle pulse wave velocity (baPWV)Cardiovascular riskJapanese populationLDL-C/HDL-C ratio

Identifiers

PMID40295965
PMCPMC12039290

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.