Abstract
OBJECTIVE: The relationship between the triglyceride glucose (TyG) index and the incidence of depression in populations with polycystic ovary syndrome (PCOS) remains unclear. This study aims to investigate the relationship between the TyG index and depression incidence in PCOS populations. METHODS: We conducted a study on 725 women aged 18 to 45 who visited our hospital from January 2021 to December 2023. Demographic and anthropometric data were collected, and serum assays were performed. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess the past week's feelings and determine depression status. Statistical methods such as binary logistic regression analysis were used to analyze the relationship between the TyG index, Homeostatic model assessment insulin resistance index(HOMA-IR), and depression in PCOS patients. The TyG index, HOMA-IR, was tested for its ability to predict depression using receiver operating characteristic (ROC) curves. RESULTS: In logistic regression models, a significant positive association was observed between the TyG index and depression after the adjusted analysis(4.552(2.975 ∼ 6.966), P<0.001). Compared to HOMA-IR(1.224(1.122 ∼ 1.336), P<0.001), the TyG index was a more significant risk factor for depression. ROC analysis showed that the AUC of the TyG index(0.724, 0.684 ∼ 0.765) was higher than the HOMA-IR(0.698,0.656~0.74). CONCLUSIONS: A high TyG index was associated with higher odds of having depression in the population with PCOS. This indicated that the TyG index may be an independent predictor of depression development. CLINICAL TRIAL NUMBER: Not applicable.