<p>Research has shown inconsistent links between triglyceride and glucose related indexes (TyG-related indexes) and metabolic dysfunction-associated fatty liver disease (MAFLD) across various groups and areas. Our research focuses on exploring these connections to improve early identification and prevention of MAFLD among rural residents in Xinjiang, China. A total of 10,703 rural residents were included in this cohort study. Cox regression modeling, receiver operating characteristic curves (ROC), restricted cubic spline (RCS) scores, subgroup analyses, and sensitivity analyses were used to conduct the study. Over a 5.7-year follow-up, 5.6% of participants developed MAFLD. Higher TyG-related indexes were linked to increased MAFLD risk after adjusting for confounders (<i>P</i> &lt; 0.05). TyG-WHtR increased significantly in both sexes. The top quartile of TyG, TyG-BMI, TyG-WC, and TyG-WHtR had higher MAFLD risk compared to the bottom quartile, with TyG-BMI being the strongest predictor, particularly in unmarried individuals aged 18–30. Nonlinear relationships were observed for most TyG-related indexes and MAFLD risk, except for male TyG. ROC analysis confirmed the diagnostic value of TyG-related indexes for predicting MAFLD. TyG-related indexes were independently associated with MAFLD, with a stronger association observed in females. Furthermore, TyG-related indexes demonstrated predictive value for MAFLD, with TyG-BMI exhibiting the most robust predictive performance, particularly among unmarried individuals aged 18–30.</p>

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Relationship between triglyceride and glucose related indexes and MAFLD in rural populations of northwest China

  • Shipeng Gao,
  • Xinyu Peng,
  • Shijie Zhang,
  • Jing Yang,
  • Shuxia Guo,
  • Yu Li,
  • Rulin Ma,
  • Yunhua Hu,
  • Keerman Mulatibieke,
  • Xianghui Zhang,
  • Xinping Wang,
  • Jia He,
  • Heng Guo

摘要

Research has shown inconsistent links between triglyceride and glucose related indexes (TyG-related indexes) and metabolic dysfunction-associated fatty liver disease (MAFLD) across various groups and areas. Our research focuses on exploring these connections to improve early identification and prevention of MAFLD among rural residents in Xinjiang, China. A total of 10,703 rural residents were included in this cohort study. Cox regression modeling, receiver operating characteristic curves (ROC), restricted cubic spline (RCS) scores, subgroup analyses, and sensitivity analyses were used to conduct the study. Over a 5.7-year follow-up, 5.6% of participants developed MAFLD. Higher TyG-related indexes were linked to increased MAFLD risk after adjusting for confounders (P < 0.05). TyG-WHtR increased significantly in both sexes. The top quartile of TyG, TyG-BMI, TyG-WC, and TyG-WHtR had higher MAFLD risk compared to the bottom quartile, with TyG-BMI being the strongest predictor, particularly in unmarried individuals aged 18–30. Nonlinear relationships were observed for most TyG-related indexes and MAFLD risk, except for male TyG. ROC analysis confirmed the diagnostic value of TyG-related indexes for predicting MAFLD. TyG-related indexes were independently associated with MAFLD, with a stronger association observed in females. Furthermore, TyG-related indexes demonstrated predictive value for MAFLD, with TyG-BMI exhibiting the most robust predictive performance, particularly among unmarried individuals aged 18–30.