Association between monocyte to high-density lipoprotein cholesterol ratio and stroke prevalence in American adults: A cross-sectional NHANES Study
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: The monocyte to high-density lipoprotein ratio (MHR) is a novel biomarker reflecting systemic inflammation and lipid metabolism disturbances, providing insights into the pathophysiological mechanisms of stroke development. While prior research has established a connection between MHR and cardiovascular outcomes, its association with stroke has yet to be conclusively validated in large-scale, population-based cohorts. METHODS: Data from the 1999-2018 National Health and Nutrition Examination Survey (NHANES) was used for the analysis. Subgroup analyses evaluated association robustness across demographic strata.The study assessed the link between MHR and stroke prevalence using restricted cubic spline regression (RCS) methods. Adjustments were made for demographic characteristics, lifestyle factors, and clinical confounding variables.Subgroup and sensitivity analyses evaluated the robustness of observed associations. RESULTS: Among the 28,238 participants included in the study, 805 individuals (2.08%) experienced a stroke. A comprehensive logistic regression analysis demonstrated that each standard deviation (SD) increase in MHR was associated with 20% higher odds of stroke (OR = 1.20, 95% CI: 1.08-1.33, P < 0.05). RCS analysis indicated a linear association between MHR and stroke(P > 0.05). Subgroup and sensitivity analyses consistently demonstrated a significant positive association between MHR and stroke. This national, cross-sectional study demonstrated a linear positive correlation between the MHR and stroke, highlighting its potential utility as an indicator. However, the cross-sectional design precludes causal inference, which requires verification by prospective studies.
Authors: Jiahui Wang, Guojiang Zheng, Jianhua Xu
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,170
OpenAlex ID: W7127995682
