Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Graduate school, Beijing University of Chinese Medicine, Beijing, China.
Cardiovasc Diabetol. 2024 Nov 18;23(1):415. doi: 10.1186/s12933-024-02511-9.
Existing researches have predominantly focused on the implications of dynamic alterations in the triglyceride-glucose (TyG) index and traditional obesity measures for cardiovascular disease (CVD) risk. However, the application of the weight-adjusted waist index (WWI), which incorporates the dynamically changing body composition factors of weight and waist circumference, alongside the TyG index for predicting CVD risk, remains unexplored. This study explores the relationships between baseline TyG-WWI index and its dynamic changes with CVD risk.
Subjects were drawn from the China Health and Retirement Longitudinal Study. Logistic regression analyses were conducted to determine the relationships between baseline and longitudinal changes in the TyG-WWI index and CVD risk, quantified through odds ratios (ORs) and 95% confidence intervals (CIs). The robustness of results was confirmed via subgroup analyses and E-values. Additionally, restricted cubic spline and quartile-based methods evaluated the relationships between baseline and cumulative TyG-WWI indices and CVD risk.
Over two survey waves, 613 CVD events were recorded. Analysis using adjusted multivariable models demonstrated a significant relationship between the cumulative TyG-WWI index and increased CVD risk, with an adjusted OR (95% CI) of 1.005 (1.000, 1.009). Class 2 of the TyG-WWI index change showed greater risk of CVD compared to Class 1, with ORs of 1.270 (1.008, 1.605). However, no significant connection was observed between the baseline TyG-WWI index and CVD risk (OR = 1.007, 95% CI: 0.996, 1.019). These findings were corroborated through extensive sensitivity analyses.
现有研究主要集中在甘油三酯-葡萄糖(TyG)指数和传统肥胖指标的动态变化对心血管疾病(CVD)风险的影响。然而,体重调整腰围指数(WWI)的应用,该指数结合了体重和腰围等动态变化的身体成分因素,以及 TyG 指数在预测 CVD 风险方面的应用,仍有待探索。本研究探讨了基线 TyG-WWI 指数及其与 CVD 风险之间的动态变化之间的关系。
研究对象来自中国健康与退休纵向研究。采用逻辑回归分析确定基线和纵向 TyG-WWI 指数变化与 CVD 风险之间的关系,通过比值比(OR)和 95%置信区间(CI)来量化。通过亚组分析和 E 值确认结果的稳健性。此外,受限立方样条和四分位法评估了基线和累积 TyG-WWI 指数与 CVD 风险之间的关系。
在两次调查中,记录了 613 例 CVD 事件。使用调整后的多变量模型分析表明,累积 TyG-WWI 指数与 CVD 风险增加之间存在显著关系,调整后的 OR(95%CI)为 1.005(1.000,1.009)。与 Class 1 相比,TyG-WWI 指数变化的 Class 2 显示出更高的 CVD 风险,OR 为 1.270(1.008,1.605)。然而,基线 TyG-WWI 指数与 CVD 风险之间没有显著关联(OR=1.007,95%CI:0.996,1.019)。这些发现通过广泛的敏感性分析得到了证实。