Predictive factors and risk model for depression in patients with type 2 diabetes mellitus: a comprehensive analysis of comorbidities and clinical indicators
Female, lower BMI, lower LDL-C and higher CIRS score were independently associated with depression in patients with type 2 diabetes. The CIRS score appeared to be more effective in predicting depression risk in people who were male, younger, shorter DM duration, no smoking or no drinking. A more comprehensive prediction model could help clinicians identify patients with type 2 diabetes who are at risk for depression.
Authors
- Yexing Chen (ORCID: https://orcid.org/0009-0000-9139-0988)
- Hui Xu (ORCID: https://orcid.org/0000-0001-5517-3556)
- Dongjuan He
- Xiaoli Chen (ORCID: https://orcid.org/0000-0002-4878-1905)
- Xiaofang Zhang (ORCID: https://orcid.org/0000-0002-8667-0456)
- Shiyu Xu (ORCID: https://orcid.org/0009-0000-4734-1089)
- Chen Duan (ORCID: https://orcid.org/0000-0002-6223-9792)
- Weifeng Jiang
- Cheng Luo (ORCID: https://orcid.org/0009-0008-2257-6066)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Wenzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-03-05
- DOI
- https://doi.org/10.3389/fendo.2025.1555142
- Citations
- 1
- Primary Topic
- Diabetes Management and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.29