ArticleFrontiers in endocrinology2025
Associations between different triglyceride glucose index-related obesity indices and sarcopenia: a cross-sectional study.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association of the triglyceride-glucose index with the risk of sarcopenia: a meta-analysis with clinical implications.BMC endocrine disorders · 2026Pooled it
- Pooled it
- Association between triglyceride-glucose index and sarcopenia in older adults without either dysglycemia or central obesity: a cross-sectional study from CHARLS.Open medicine (Warsaw, Poland) · 2026Article
- Development and validation of a machine learning-based sarcopenia prediction model using the triglyceride glucose-frailty index.The Journal of international medical research · 2026Article
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7 authors.
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Abstract
Background: The relationship of triglyceride glucose (TyG) index-related obesity indices with sarcopenia has not been studied in the U.S. population. Methods: This cross-sectional survey utilizes data collected from the National Health and Nutrition Examination Survey spanning 2011 to 2018. The correlation between TyG-waist-to-height ratio (TyG-WHtR), TyG-weight-adjusted waist index (TyG-WWI), TyG-waist circumference (TyG-WC), TyG-body mass index (TyG-BMI), and sarcopenia was analyzed by weighted multivariate logistic regression using smoothed curves fitted to the observed nonlinear relationships and subgroup analysis were performed as well as an interaction test. Ultimately, the diagnostic validity of the four indices was evaluated in comparison with the TyG index for sarcopenia utilizing receiver operating characteristic (ROC) analysis. Results: This study included a total of 4804 participants, with 428 of those diagnosed with sarcopenia. The study illustrated that TyG-WHtR, TyG-WWI, TyG-BMI, and TyG-WC demonstrated a notable positive association with odds of sarcopenia prevalence [TyG-WHtR: OR (95% CI): 1.51(1.33, 1.72); TyG-WWI: OR (95% CI): 1.21 (1.18, 1.24); TyG-BMI: OR (95% CI): 1.15 (1.13, 1.18), TyG-WC: OR(95%CI):1.70(1.55, 1.87)]. Compared to the lowest quartile, the top quartile had a higher prevalence of sarcopenia, such as TyG-WWI (OR= 81.89, 95% CI: 38.49, 174.22). Subgroup analysis uncovered notable disparities in the relationship between four indices with sarcopenia., across gender and BMI≥30 strata. The association between the four distinct indices and sarcopenia is nonlinear. The ROC analysis demonstrated that four indices exhibited superior diagnostic efficacy to TyG. In addition, the diagnostic validity of TyG-WWI was optimal [TyG: AUC(95%CI):0.668(0.642,0.694); TyG-WHtR: AUC(95%CI):0.714(0.688,0.739); TyG-WC: AUC(95%CI):0.715(0.691,0.739); TyG-BMI: AUC(95%CI):0.737(0.714,0.761); TyG-WWI: AUC (95%CI):0.802(0.783,0.821)]. Conclusions: TyG-WWI, TyG-WHtR, TyG-BMI, and TyG-WC are significantly positively linked to the prevalence of sarcopenia and outperform the TyG index in predicting this disorder. The TyG-related obesity indices, specifically the TyG-WWI index, have potential as reliable indicators for assessing and predicting sarcopenia.
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