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Association between triglyceride-glucose-body mass index and depression: a cross-sectional study of rural residents with cardiovascular-kidney-metabolic syndrome in Yichang

Published on Jun. 09, 2026Total Views: 22 timesTotal Downloads: 4 timesDownloadMobile

Author: QU Huiyan 1 ZHANG Xinyi 2, 3 ZHANG Ling 1 YU Zhiying 1 ZHU Jie 1 YANG Jiajuan 1

Affiliation: 1. Yichang Center for Disease Control and Prevention, Yichang 443005, Hubei Province, China 2. School of Public Health, Harbin Medical University, Harbin 150000, China 3. Department of General Practice, The Second Affiliated Hospital of Harbin Medical University, Harbin 150000, China

Keywords: Cardiovascular-kidney-metabolic syndrome Triglyceride glucose-body mass index Depressive symptoms

DOI: 10.12173/j.issn.1004-5511.202511155

Reference: Qu HY, Zhang XY, Zhang L, et al. Association between triglyceride-glucose-body mass index and depression: a cross-sectional study of rural residents with cardiovascular-kidney-metabolic syndrome in Yichang[J]. Yixue Xinzhi Zazhi, 2026, 36(5): 511-518. DOI: 10.12173/j.issn.1004-5511.202511155.[Article in Chinese]

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Abstract

Objective To investigate the association between triglyceride-glucose-body mass index (TyG-BMI) and depressive symptoms in individuals with cardiovascular-kidney-metabolic (CKM) syndrome, and its heterogeneity across different stages.

Methods This study utilized data from a survey on comorbidities among adults in rural communities in Yichang of Hubei province, conducted in August 2023. Participants diagnosed with CKM sundrome were grouped according to baseline TyG-BMI levels. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression was employed to analyze the association between TyG-BMI and depressive symptoms, followed by stratified analysis by age, sex, education level, smoking/alcohol status, and CKM syndrome stage. Restricted cubic spline (RCS) models were used to assess nonlinear relationships.

Results A total of 2,089 patients with CKM sundrome stages 0-3 were included. The mean age of participants was (57.0 ± 10.4) years, with 50.8% being female. After full adjustment for confounding factors, each 10-unit increase in TyG-BMI was associated with a 4.9% reduction in depression risk [OR=0.951, 95%CI (0.903, 0.999)]. Subgroup analysis showed that this negative association was more significant in individuals aged ≥ 60 years [OR=0.989, 95%CI (0.980, 0.998)] and those at CKM syndrome stage 0 [OR=0.978, 95%CI (0.961, 0.996)]. RCS model analysis showed a significant nonlinear relationship trend between TyG-BMI and depression symptoms.

Conclusion The higher TyG-BMI levels were associated with a lower prevalence of depressive symptoms among individuals with CKM syndrome stages 0-3, and this association was more pronounced in metabolically healthy individuals (CKM syndrome stage 0) and individuds aged ≥ 60 years. Nonlinear analysis suggests that moderate levels of TyG-BMI may have neuroprotective effects.

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