Evidence mapPaperPMID 40787237Full record

ArticleJournal of diabetes and metabolic disorders2025

Association between Remnant Cholesterol and Metabolic Syndrome beyond Conventional Lipid Parameters in Middle Age and Elderly Population: Bushehr Elderly Health (BEH) cohort.

Shahnaz Esmaeili, Nooshin Fahimfar, Behnaz Esmaeili, Mostafa Rezaei Tavirani, Farideh Razi, Fatemeh Bandarian

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Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shahnaz EsmaeiliDepartment of Basic Sciences/Medical Surgical Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Nooshin FahimfarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Behnaz EsmaeiliDepartment of Basic Medical Sciences, Khoy University of Medical Sciences, Khoy, Iran.
Mostafa Rezaei TaviraniProteomics Research center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farideh RaziDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Fatemeh BandarianMetabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-0359-3043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Given the established role of dyslipidemia in the pathogenesis of metabolic diseases, we aimed to evaluate the association between lipid parameters and metabolic syndrome (MetS), especially highlighting the relationship between remnant cholesterol (RC) and MetS in middle-aged and elderly people. Methods: This cross-sectional study included 1918 middle-aged and elderly participants. Of them, 1131 had metabolic syndrome. After measuring lipid parameters, to calculate RC levels, we subtracted LDL-C and HDL-C from total cholesterol. Then, we assessed the relationship between lipid parameters and MetS using multiple logistic regression analysis. Results: The average age of the participants was 62.10 ± 8.05 years. Multiple logistic regression analysis demonstrated that in addition to traditional lipid indicators such as TGs, RC levels were also associated with the Mets. Meanwhile, RC levels showed the strongest relationship (odds ratio [OR]: 2.68; 95% confidence interval [CI] 2.22-3.23), followed by TG levels (OR: 1.01; 95% CI 1.01-1.02). The association of RC with this disease was stronger among males than females. Conclusion: The relationship between remnant particle levels and MetS is considerable and beyond traditional lipid parameters.

Indexed as

DyslipidemiaLipid profileLipidsMetabolic syndromeRemnant cholesterol

Identifiers

PMID40787237
PMCPMC12328864

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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.