ArticleFrontiers in physiology2025
Correlation between cardiometabolic index and psoriasis: a cross-sectional analysis using NHANES data.
Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Association of Body Roundness Index, Lipid Accumulation Product, and Triglyceride-Glucose Index With Psoriasis: A Systematic Review of Observational Studies.Health science reports · 2026Review
- Baseline Clinical and Metabolic Predictors of 52-Week Durability of Secukinumab Response in Moderate-to-Severe Plaque Psoriasis.Clinical, cosmetic and investigational dermatology · 2026Article
- Social Determinants of Health as a Predictor of Psoriasis Risk: Preliminary Findings from a National Survey.Clinical, cosmetic and investigational dermatology · 2026Article
- Effectiveness and safety of acupoint catgut embedding for patients with mild psoriasis and overweight: study protocol of a multicenter double-blind randomized controlled trial.Frontiers in medicine · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: 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. Methods: 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)/High-density 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. Results: 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). Conclusion: 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.
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