Exploring the association between relative fat mass and psoriasis risk: insights from the NHANES data
This research demonstrates that RFM outperforms traditional anthropometric methods in predicting risk. It also presents the initial evidence establishing a positive link between RFM and the likelihood of developing psoriasis.The psoriasis risk prediction model underscores RFM's effectiveness as a valuable approach in both clinical and public health domains, aiming to alleviate the impact of psoriasis-related issues by offering a practical instrument for early risk assessment and personalized clinical strategies.
Authors
- J. Wang
- Yanqiu Ou (ORCID: https://orcid.org/0000-0002-1102-5030)
- Yuling Chen (ORCID: https://orcid.org/0000-0002-6976-4055)
- Xiaotong Chen (ORCID: https://orcid.org/0000-0003-0836-6229)
- Zeru Chen
- Honglei Chen (ORCID: https://orcid.org/0000-0003-3446-7779)
Institutions
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Lipids in Health and Disease
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1186/s12944-025-02615-5
- Citations
- 3
- Primary Topic
- Psoriasis: Treatment and Pathogenesis
- Type
- article
- Field-Weighted Citation Impact
- 2.39
Funders
- National Natural Science Foundation of China