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ORIGINAL RESEARCH article

Front. Physiol.

Sec. Metabolic Physiology

Volume 16 - 2025 | doi: 10.3389/fphys.2025.1552269

Correlation between Cardiometabolic Index (CMI) and psoriasis: a cross-sectional analysis using NHANES data

Provisionally accepted
Mengxue Li Mengxue Li *Yixiao Gan Yixiao Gan Hong Cheng Hong Cheng Zhicheng Wang Zhicheng Wang
  • Fudan University, Shanghai, China

The final, formatted version of the article will be published soon.

    Psoriasis is closely associated with metabolic health. The Cardiometabolic Index (CMI) is an innovative and easily obtainable metric employed to assess cardiometabolic health. This study aims to examine the possible relationship between CMI and psoriasis.Data from four successive cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 2003-2004 and 2009-2014 were employed. This encompassed adults with self-reported psoriasis diagnoses and comprehensive information necessary for calculating the CMI. The calculation formula for CMI is Triglycerides (TG) / Highdensity lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference / height). A multivariable logistic regression model was utilized to examine the linear relationship between CMI and psoriasis. Subgroup analyses were conducted to investigate potential contributing factors. The linear relationship was further established using smooth curve fitting.This study, utilizing NHANES data, comprised a cohort of 7,327 American adults. The multivariable logistic regression analysis indicated that in the fully adjusted model, people with the greatest CMI had a 71% increased probability of psoriasis relative to those with the lowest CMI (OR = 1.71; 95% CI, 1.11-2.61, P < 0.05). Smooth curve fitting demonstrated a linear connection between CMI and psoriasis (P < 0.05). The subgroup analysis revealed no significant interactions between CMI and specific subgroups (all interactions P > 0.05).Our research indicates a substantial linear correlation between CMI and psoriasis in American adults. This method facilitates the identification of groups at increased risk for psoriasis, therefore guiding therapeutic solutions and public health activities to improve metabolic and dermatological health outcomes.

    Keywords: Cardiometabolic index, Psoriasis, Cross-sectional study, NHANES, Multivariate logic analysis

    Received: 27 Dec 2024; Accepted: 27 Feb 2025.

    Copyright: © 2025 Li, Gan, Cheng and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mengxue Li, Fudan University, Shanghai, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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