Frontiers in Endocrinology, Год журнала: 2025, Номер 16

Опубликована: Март 5, 2025

Depression is highly prevalent among individuals with type 2 diabetes mellitus (T2DM), often compounded by multiple chronic conditions. This study aimed to identify the key factors influencing depression in this population, a particular focus on relationship between Cumulative Illness Rating Scale (CIRS) score and depression, evaluate predictive value of model incorporating sex, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), CIRS score. A total 308 hospitalized patients from Quzhou Hospital, Wenzhou Medical University were enrolled. Their clinical biochemical data collected, alongside assessments comorbidities depressive symptoms using Self-Rating (SDS), respectively. LASSO regression 10-fold cross-validation was used optimal variables for model. Multivariate analysis performed assess independent associations BMI, LDL-C, depression. The scores further explored across various subgroups. model's assessed through ROC curve analysis. Female sex (OR: 2.48, 95% CI: 1.50-4.10, p < 0.001), lower BMI 0.92, 0.86-0.98, = 0.015), LDL-C 0.77, 0.61-0.98, 0.031), higher 1.11, 1.05-1.18, 0.001) independently linked after adjusting variables. strong association observed, particularly males, under 60 years old, those disease duration less than 5 years, no history smoking or alcohol consumption. Additionally, demonstrated high accuracy identifying at risk Female, associated diabetes. appeared be more effective predicting people who male, younger, shorter DM duration, drinking. comprehensive prediction could help clinicians are

Язык: Английский