Evidence Hub

Association between triglyceride glucose index and odds of hip fracture in patients with or without type 2 diabetes: a cross-sectional study

Zhao D, Bai H, Zhao C, Tian J, Bo Y

Frontiers in endocrinology, 2026

935 participants

Abstract

Background: The triglyceride-glucose (TyG) index, an indicator of insulin resistance, has demonstrated variable correlations with fracture risk. This study sought to examine the correlation between TyG and the odds of hip fractures in Chinese individuals, both with and without type 2 diabetes (T2D).

Methods: This retrospective cross-sectional study was performed at Changzhou Second People's Hospital and involved 935 Chinese individuals, including 248 patients with hip fractures. TyG was calculated based on fasting glucose and triglyceride levels. Multivariate logistic regression models were used to investigate the association between TyG and the odds of hip fracture.

Results: The odds of hip fractures was identical in both T2D and non-T2D groups (27.5% vs 26.3%, P = 0.734). After adjusting for all confounders, increasing TyG significantly reduced the odds of hip fracture in the group without T2D (odds ratio [OR] = 0.45; 95% confidence interval [CI]:0.25-0.83), but not in the T2D group (OR = 1.90; 95% CI:0.81-4.46). A significant multiplicative interaction was observed between T2D and TyG on the odds of hip fracture (p for interaction 0.05).

Conclusion: Significant elevations in TyG were independently associated with a reduced odds of hip fractures in Chinese individuals without T2D, but not in those with T2D. These findings underscore the necessity of considering diabetes status when evaluating the TyG index as a metabolic determinant of hip fracture odds in clinical…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 935 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free