ArticleFrontiers in nutrition2026
Association of novel triglyceride-glucose index-derived indices with hyperuricemia among oilfield workers.
Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- TyG-BMI as a Marker of Metabolic Status and Its Association with Bone Quality and Mineral Metabolism: A Sex-Specific Analysis.Journal of clinical medicine · 2026Article
- Is Acrylamide a Hidden Threat to Muscle Health? Integrative Evidence From Epidemiological and Mechanistic Investigations.Food science & nutrition · 2026Article
- Combined associations of tea consumption and smoking with accelerated biological aging among oilfield workers.Frontiers in nutrition · 2026Article
- Socioeconomic stratification in the association between tea consumption and skeletal muscle mass among oilfield workers.Frontiers in nutrition · 2026Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The association and predictive value of newer triglyceride-glucose (TyG)-derived anthropometric indices for hyperuricemia have not been systematically evaluated. Methods: Logistic regression, restricted cubic spline (RCS) modeling, subgroup analyses, and multiple sensitivity assessments were used to evaluate dose-response patterns and the robustness of findings. Discriminatory performance was further assessed using receiver operating characteristic curves. Results: All five TyG-derived indicators showed positive associations with hyperuricemia. Each one-standard deviation increase in triglyceride-glucose-a body shape index (TyG-ABSI), triglyceride-glucose-weight-adjusted waist index (TyG-WWI), triglyceride-glucose-conicity index (TyG-CI), triglyceride-glucose-body roundness index (TyG-BRI), and triglyceride-glucose-Chinese visceral adiposity index (TyG-CVAI) corresponded to 62, 45, 68, 82, and 88% higher odds, respectively. Similar trends appeared in categorical analyses, where the highest quartile exhibited markedly elevated risks compared with the lowest, ranging from 1.61-fold for TyG-WWI to 2.29-fold for TyG-CVAI. RCS analyses confirmed non-linear patterns, and subgroup findings across age, sex, and shift-work strata were largely consistent. Sensitivity analyses further supported the robustness of the results. Among all indicators, TyG-CVAI provided the greatest discriminative ability, with an AUC of 0.735 and statistically superior performance relative to the other indices. Conclusion: TyG-derived anthropometric metrics, particularly TyG-CVAI, exhibit robust associations with hyperuricemia and demonstrate promising utility for metabolic risk stratification.
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