Association Between Triglyceride‐Glucose‐Body Mass Index and Depression in Elderly Diabetic Individuals: A Population‐Based Study

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Authors: Hong Qian, Shanglin Song, Zhengyu Zhang, Yuan Yuan, Dean Wu
Cited by: 0
References: 34

Abstract

Background: Although the association between insulin resistance (IR) and depression has been extensively studied, the relationship between triglyceride-glucose-body mass index (TyG-BMI) and depressive symptoms in elderly patients with diabetes remains unclear. This study aimed to investigate the association between TyG-BMI and depression risk in older adults with diabetes using data from the National Health and Nutrition Examination Survey (NHANES). Methods: This retrospective cross-sectional study included a total of 2584 participants aged ≥ s65 years with diabetes from NHANES (2005-2018). Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9), with a score ≥ 10 defining clinically significant depression. Multivariable logistic regression and restricted cubic spline models were employed to analyze the TyG-BMI-depression association, adjusting for sociodemographic, lifestyle, and disease-related covariates. In addition, subgroup analyses were also conducted. Results: > 0.05). Conclusion: Elevated TyG-BMI is independently associated with increased depression risk in elderly diabetic patients, highlighting its potential as a biomarker for metabolic-psychiatric comorbidity. Further studies are warranted to validate TyG-BMI's utility in early depression screening and intervention strategies.

Fields of Study & Subjects

Diabetes Cardiovascular Risks and Lipoproteins Diabetes Management and Education Skin Diseases and Diabetes

Publication details

Journal / source
International Journal of Endocrinology
Volume
2026
Issue
1
Pages
3433631–3433631
Publication date
1 January 2026
Language
EN