Observational studyFrontiers in endocrinology2024
The circadian syndrome is a better predictor for psoriasis than the metabolic syndrome via an explainable machine learning method - the NHANES survey during 2005-2006 and 2009-2014.
Observational study in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Prospective association between circadian syndrome and incident chronic lung disease in the CHARLS and ELSA cohorts.Scientific reports · 2026Article
- The influence of physical activity on circadian syndrome: a nationwide prospective study based on the CHARLS cohort.BMC public health · 2026Article
- Dual zeitgeber axes in psoriasis: a chronobiological framework for immune jet lag.Frontiers in immunology · 2026Review
- Integrated bioinformatics and machine learning identify early diagnostic biomarkers for MAFLD with comorbid psoriasis.Frontiers in immunology · 2026Article
- Association of circadian-metabolic syndrome with incident chronic liver disease in middle-aged and elderly Chinese adults: a prospective cohort study on mediation by cardiovascular disease.European journal of medical research · 2025Article
- Metabolic risk stratification of night shift workers in a large retail workplace through clustering and SHAP interpretation.Frontiers in public health · 2025Article
- Serum lipids, oxidative stress, and systemic inflammation mediate the association between circadian syndrome and periodontitis.Frontiers in nutrition · 2025Article
- Testosterone Deficiency and Sleep Deprivation as Risk Factors for Psoriasis: Insights From the National Health and Nutrition Examination Survey (NHANES) 2011-2014.Clinical, cosmetic and investigational dermatology · 2025Article
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Authors and funding
6 authors.
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Abstract
Objective: To explore the association between circadian syndrome (CircS) and Metabolic Syndrome (MetS) with psoriasis. Compare the performance of MetS and CircS in predicting psoriasis. Methods: An observational study used data from the NHANES surveys conducted in 2005-2006 and 2009-2014. We constructed three multiple logistic regression models to investigate the relationship between MetS, CircS, and their components with psoriasis. The performance of MetS and CircS in predicting psoriasis was compared using five machine-learning algorithms, and the best-performing model was explained via SHAP. Then, bidirectional Mendelian randomization analyses with the inverse variance weighted (IVW) as the primary method were employed to determine the causal effects of each component. Result: A total of 9,531 participants were eligible for the study. Both the MetS (OR = 1.53, 95%CI: 1.07-2.17, Conclusion: CircS demonstrated superior predictive ability for prevalent psoriasis compared to MetS, with elevated blood pressure, depression symptoms, and elevated WC contributing more to the prediction.
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