Objective <p>To investigate the association of triglyceride-glucose index (TyG) and uric acid to high-density lipoprotein cholesterol ratio (UHR) with the prevalence of uterine fibroids (UF), and to evaluate the dose-response relationship and differences in different subgroups.</p> Methods <p>This cross-sectional study employed real-world data from 40,529 adult female participants who underwent health examinations at Hebei Province Health Examination Center between January 1 and December 31, 2024. This study used multiple logistic regression analysis to determine the independent association between standardized TyG index, UHR, and UF risk. The dose-response relationship was evaluated with restricted cubic spline (RCS), and stratified analysis was conducted according to BMI, diabetes and menopause status.</p> Results <p>Among 40,529 participants, the prevalence of UF was 29.8% (12,081 cases). The results of the fully adjusted model (Model 3) showed that both the standardized TyG index and UHR were significantly positively correlated with UF risk: for every 1 standard deviation (SD) increase in TyG, UF risk increased by 2.068 times (OR = 3.068); For every 1 SD increase in UHR, the risk increased by 11.7% (OR = 1.117). RCS analysis revealed that both the TyG index and UHR exhibited significant nonlinear associations with the risk of UF (<i>P</i>_overall &lt; 0.001). Hierarchical analysis showed that TyG maintained significant correlation in all subgroups, while the effect of UHR was weakened in people with BMI ≥ 25&#xa0;kg/m<sup>2</sup> and diabetes (<i>P</i> &gt; 0.05).</p> Conclusion <p>Elevated TyG index and UHR are significantly correlated with an increased prevalence risk of UF in women, and exhibit a non-linear dose-response relationship. The TyG index demonstrated a relatively significant association with UF risk, and the findings remained robust, supporting its utility as a simple indicator for capturing the relationship between metabolic abnormalities and UF risk.</p>

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The association of triglyceride-glucose index and uric acid-high-density lipoprotein cholesterol ratio with the risk of uterine fibroids: a real-world analysis based on health examination data

  • Weilan Liu,
  • Xiaoyan Duan,
  • Luyang Su,
  • Yan Jiang,
  • Shixia Zhao,
  • Qian Nie

摘要

Objective

To investigate the association of triglyceride-glucose index (TyG) and uric acid to high-density lipoprotein cholesterol ratio (UHR) with the prevalence of uterine fibroids (UF), and to evaluate the dose-response relationship and differences in different subgroups.

Methods

This cross-sectional study employed real-world data from 40,529 adult female participants who underwent health examinations at Hebei Province Health Examination Center between January 1 and December 31, 2024. This study used multiple logistic regression analysis to determine the independent association between standardized TyG index, UHR, and UF risk. The dose-response relationship was evaluated with restricted cubic spline (RCS), and stratified analysis was conducted according to BMI, diabetes and menopause status.

Results

Among 40,529 participants, the prevalence of UF was 29.8% (12,081 cases). The results of the fully adjusted model (Model 3) showed that both the standardized TyG index and UHR were significantly positively correlated with UF risk: for every 1 standard deviation (SD) increase in TyG, UF risk increased by 2.068 times (OR = 3.068); For every 1 SD increase in UHR, the risk increased by 11.7% (OR = 1.117). RCS analysis revealed that both the TyG index and UHR exhibited significant nonlinear associations with the risk of UF (P_overall < 0.001). Hierarchical analysis showed that TyG maintained significant correlation in all subgroups, while the effect of UHR was weakened in people with BMI ≥ 25 kg/m2 and diabetes (P > 0.05).

Conclusion

Elevated TyG index and UHR are significantly correlated with an increased prevalence risk of UF in women, and exhibit a non-linear dose-response relationship. The TyG index demonstrated a relatively significant association with UF risk, and the findings remained robust, supporting its utility as a simple indicator for capturing the relationship between metabolic abnormalities and UF risk.