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Purpose <p>This study aimed to explore the association between triglyceride-glucose (TyG) related indices and the metabolic syndrome (MetS).</p> Methods <p>A cross-sectional study was conducted involving 10,431 individuals who participated the medical examination for the elderly in 2023 at Shanghai Jiading Nanxiang Community Health Service Center. We compared 4 indicators, TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), and metabolic score for insulin resistance (MetS-IR) — to assess their ability to predict MetS. Logistic regression analysis and subgroup analysis were performed to investigate the relationship between these four indices and the risk of MetS in normal weight, overweight and obese group. And we conducted the receiver operating characteristic curves (ROC) to definite predictive utility for identifying MetS in the elderly individuals across diverse BMI groups.</p> Results <p>In this study, all the studied markers were significantly associated with MetS. TyG showed the highest area under the curve (AUC) for identifying MetS across different BMI groups (AUC = 0.855–0.903), indicating its discriminative ability for predicting MetS. Additionally, significant interactions were observed between the biomarkers and MetS across different subgroups adjusted by confounders, which suggested that TyG and MetS-IR showed stronger associations with MetS in females than in males. Meanwhile, BMI stratification demonstrated that TyG showed highest OR in obese group (OR = 10.55) while MetS-IR (OR = 11.93) performed better in normal weight group.</p> Conclusion <p>These results suggested that the TyG index and its related markers are valuable tools for predicting MetS across different BMI categories in a large community-based population, with particularly high utility observed in older adults and individuals with obesity.</p>

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Assessing the role of the Triglyceride-glucose related indices in identifying metabolic syndrome risk across body mass index categories

  • 期刊论文

  • 发表日期：

    2025年12月29日

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  • Chengcheng Qian,
  • Liling Mao,
  • Yu Liu,
  • Xinxin Zhao,
  • Jin Li,
  • Fei Sheng,
  • Haoming Song

摘要

Purpose

This study aimed to explore the association between triglyceride-glucose (TyG) related indices and the metabolic syndrome (MetS).

Methods

A cross-sectional study was conducted involving 10,431 individuals who participated the medical examination for the elderly in 2023 at Shanghai Jiading Nanxiang Community Health Service Center. We compared 4 indicators, TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), and metabolic score for insulin resistance (MetS-IR) — to assess their ability to predict MetS. Logistic regression analysis and subgroup analysis were performed to investigate the relationship between these four indices and the risk of MetS in normal weight, overweight and obese group. And we conducted the receiver operating characteristic curves (ROC) to definite predictive utility for identifying MetS in the elderly individuals across diverse BMI groups.

Results

In this study, all the studied markers were significantly associated with MetS. TyG showed the highest area under the curve (AUC) for identifying MetS across different BMI groups (AUC = 0.855–0.903), indicating its discriminative ability for predicting MetS. Additionally, significant interactions were observed between the biomarkers and MetS across different subgroups adjusted by confounders, which suggested that TyG and MetS-IR showed stronger associations with MetS in females than in males. Meanwhile, BMI stratification demonstrated that TyG showed highest OR in obese group (OR = 10.55) while MetS-IR (OR = 11.93) performed better in normal weight group.

Conclusion

These results suggested that the TyG index and its related markers are valuable tools for predicting MetS across different BMI categories in a large community-based population, with particularly high utility observed in older adults and individuals with obesity.