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. 2025 Apr 21;25(1):108.
doi: 10.1186/s12902-025-01927-y.

Association between triglyceride glucose index and depression in polycystic ovary syndrome

Guili Chen #  1 , Lin Zhu #  1 , Ying Lou  1 , Yingyun Wu  1 , Lanying Wang  1 , Weirong Mao  1 , Jianting Ma  2
Affiliations

Association between triglyceride glucose index and depression in polycystic ovary syndrome

Guili Chen et al. BMC Endocr Disord. .

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.

Keywords: Depression; Insulin resistance(IR); Polycystic ovary syndrome (PCOS); Triglyceride glucose (TyG) index.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: The study was approved by the Ethics Committee of Yuyao People’s Hospital (protocol code: 2022-03-014), and informed consent was obtained from participants. The Protocol of the current study was performed in accordance with the Declaration of Helsinki standards. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. Supplementary information: The online version contains supplementary material available at https://www.scidb.cn/anonymous/TmZNM1ly .

Figures

Fig. 1
Fig. 1
ROC curves of single-factor and multi-factor validation models. Figure A shows the ROC curve of the TyG index. Figure B shows the ROC curve of the TyG index and multi-factor prediction model
Fig. 2
Fig. 2
ROC curves of single-factor and multi-factor validation models. Figure C shows the ROC curve of the HOMA-IR. Figure D shows the ROC curve of the HOMA-IR and multi-factor prediction model
See this image and copyright information in PMC

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