Unraveling the prevalence and key influencers of metabolic syndrome in Drug-Naïve, first-episode major depressive disorder patients with psychotic symptoms: A decision tree modeling approach
MetS is prevalent in FEDN-PMD patients. The decision tree model highlighted the importance of TSH, duration of disease, A-TPO, and age in predicting MetS risk. These insights could lead to personalized interventions, potentially mitigating the risk of MetS and enhancing patient outcomes.
Authors
- Yuejiao Ma (ORCID: https://orcid.org/0000-0001-7237-0527)
- Dongfang Wang (ORCID: https://orcid.org/0000-0003-3449-3811)
- Xiangyang Zhang (ORCID: https://orcid.org/0000-0003-3326-382X)
- Xiaoe Lang
Institutions
- Shanxi Medical University (CN)
- Anhui Medical University (CN)
- Sir Run Run Shaw Hospital (CN)
- Shenzhen KangNing Hospital (CN)
- First Hospital of Shanxi Medical University (CN)
- Anhui Mental Health Center (CN)
- Fourth Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Psychiatry Research
- Published
- 2025-04-12
- DOI
- https://doi.org/10.1016/j.psychres.2025.116494
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science, Technology and Innovation Commission of Shenzhen Municipality
- Shenzhen Science and Technology Innovation Program