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Background <p>Stroke is the second leading cause of disability and mortality worldwide. A body shape index (ABSI) is calculated as waist circumference / (body mass index 2/3 × height 1/2). The TyG-ABSI is calculated as the product of the triglyceride-glucose index (TyG) and ABSI. To date, no studies have investigated the relationship between TyG-ABSI and stroke. Therefore, the purpose of this study is to fill this gap.</p> Methods <p>This multi-centre cross-sectional study included 14,394 participants from the National Health and Nutrition Examination Survey (NHANES) cycles 2007–2018 and 10,869 participants from the China Health and Retirement Longitudinal Study (CHARLS) performed from 2015–2016. The potential association between TyG-ABSI and stroke was investigated using multivariable logistic regression, supplemented by subgroup analyses, restricted cubic spline (RCS) regression and threshold effect analyses. Pearson correlation analyses and Boruta’s algorithm were applied to select features. Subsequently, the discriminative ability of TyG-ABSI for stroke was assessed using seven machine learning models and the SHAP algorithm.</p> Results <p>After adjusting for sufficient covariates, the Odds Ratio (OR) for TyG-ABSI was 1.186 (95% CI: 1.027–1.370) in NHANES and 1.189 (95% CI: 1.058–1.336) in CHARLS. Subgroup analyses revealed that this association was more pronounced in non-elderly individuals without hypertension in NHANES. The RCS regression showed a linear relationship between TyG-ABSI and stroke, but no threshold effect was observed in two populations. Among the seven machine learning models, the Gradient Boosting Machine (GBM) performed the best, with an Area Under the Curve (AUC) of 0.784 (95%CI:0.751 − 0.817) in NHANES and 0.651(95%CI:0.604 − 0.699) in CHARLS.</p> Conclusion <p>This study demonstrates a positive association between TyG-ABSI and stroke. The results suggest that TyG-ABSI is a relatively valuable indicator associated with stroke and can improve the development of public health policies.</p>

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The value of triglyceride-glucose-body shape index (TyG-ABSI) in evaluating stroke: a multi-centre cross-sectional study

  • 期刊论文

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  • 发表日期：

    2026年3月3日

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  • Hanlin Liu,
  • Mingxiao Li,
  • Ziyi Zhang,
  • Yu Duan,
  • Ke Yang,
  • Jiang Liu

摘要

Background

Stroke is the second leading cause of disability and mortality worldwide. A body shape index (ABSI) is calculated as waist circumference / (body mass index 2/3 × height 1/2). The TyG-ABSI is calculated as the product of the triglyceride-glucose index (TyG) and ABSI. To date, no studies have investigated the relationship between TyG-ABSI and stroke. Therefore, the purpose of this study is to fill this gap.

Methods

This multi-centre cross-sectional study included 14,394 participants from the National Health and Nutrition Examination Survey (NHANES) cycles 2007–2018 and 10,869 participants from the China Health and Retirement Longitudinal Study (CHARLS) performed from 2015–2016. The potential association between TyG-ABSI and stroke was investigated using multivariable logistic regression, supplemented by subgroup analyses, restricted cubic spline (RCS) regression and threshold effect analyses. Pearson correlation analyses and Boruta’s algorithm were applied to select features. Subsequently, the discriminative ability of TyG-ABSI for stroke was assessed using seven machine learning models and the SHAP algorithm.

Results

After adjusting for sufficient covariates, the Odds Ratio (OR) for TyG-ABSI was 1.186 (95% CI: 1.027–1.370) in NHANES and 1.189 (95% CI: 1.058–1.336) in CHARLS. Subgroup analyses revealed that this association was more pronounced in non-elderly individuals without hypertension in NHANES. The RCS regression showed a linear relationship between TyG-ABSI and stroke, but no threshold effect was observed in two populations. Among the seven machine learning models, the Gradient Boosting Machine (GBM) performed the best, with an Area Under the Curve (AUC) of 0.784 (95%CI:0.751 − 0.817) in NHANES and 0.651(95%CI:0.604 − 0.699) in CHARLS.

Conclusion

This study demonstrates a positive association between TyG-ABSI and stroke. The results suggest that TyG-ABSI is a relatively valuable indicator associated with stroke and can improve the development of public health policies.