2026-10-15T03:26:28Z https://www.scidb.cn/oai

10.57760/sciencedb.j00253.02270 2026-05-27T10:58:03Z

2026-05-27 Association of TyG-BMI with Depression Risk: Insights from a CKM Syndrome Population and Clinical Implications doi:10.57760/sciencedb.j00253.02270 en Objective To investigate the association between the triglyceride glucose-body mass index (TyG-BMI) and depressive symptoms in individuals with cardiovascular-kidney-metabolic (CKM) syndrome, and to explore potential heterogeneity across subgroups.Methods This study utilized data from a rural health survey conducted in Yichang, Hubei Province (August 2023). A total of 2,089 participants were included, with TyG-BMI calculated using fasting triglycerides, glucose, and body mass index. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression was employed to examine the TyG-BMI–depression association, followed by stratified analyses by age, sex, smoking/alcohol status, and CKM stages (0–3). Restricted cubic spline (RCS) regression was used to evaluate potential nonlinear relationships.Results The mean age of participants was 56.97 ± 10.41 years, with 50.8% being female. After full adjustment, each 10-unit increase in TyG-BMI was associated with a 4.9% reduction in depression risk (95% CI: 0.903–0.999). Subgroup analyses revealed stronger protective effects in individuals aged ≥60 years (OR = 0.989, 95% CI: 0.980–0.998) and those at CKM stage 0 (OR = 0.979, 95% CI: 0.962–0.996). RCS analysis indicated a U-shaped nonlinear relationship between TyG-BMI and depression.Conclusion TyG-BMI was inversely associated with depression risk in CKM syndrome, particularly in metabolically healthy individuals (CKM stage 0). However, extremely low or high TyG-BMI may elevate depression risk. These findings suggest TyG-BMI as a potential screening marker for depression in CKM populations, warranting further longitudinal validation. Cardiovascular-kidney-metabolic syndrome; Triglyceride glucose-body mass index (TyG-BMI); Depression Huiyan.Qu Xinyi.Zhang Ling.Zhang zhiying.Yu Jie.Zhu Jiajuan.Yang RESTRICTED dataset Science Data Bank