PDF(Pubmed)
Abstract：
BACKGROUND: The Triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been implicated in the risk of ischemic stroke. However, the interplay between TyG levels, lifestyle factors, and their collective impact on stroke risk in non-diabetic populations remains inadequately explored. This study aims to evaluate the association of ischemic stroke with the joint development of the TyG index and lifestyle in the non-diabetic population.
METHODS: In this prospective cohort study, data was collected across three consecutive biennial surveys of the Kailuan Study from 2006 to 2011. The dual-trajectory model was used to determine the temporal development of TyG levels and lifestyle scores. Statistical analysis involved Cox regression models to evaluate the association between TyG-lifestyle trajectories and ischemic stroke risk, adjusting for potential confounders.
RESULTS: A total of 44,403 participants were included, with five distinct TyG levels and lifestyle scores trajectory subtypes identified. In the multivariable-adjusted analyses, significant differences in ischemic stroke risk among the trajectory subtypes. Group 5, characterized by the highest TyG levels and moderate lifestyle scores, exhibited the greatest ischemic stroke risk (HR = 1.81, 95% CI: 1.51-2.18), while group 4, with moderate TyG levels and higher lifestyle scores, demonstrated the lowest risk (HR = 1.19, 95% CI: 1.04-1.37), compared with group 3. Participants with elevated TyG levels were at an increased risk of ischemic stroke in cases of pronounced insulin resistance, even with a healthy lifestyle.
CONCLUSIONS: This study reveals the significant associations between the identified TyG and lifestyle trajectories and the stratification of ischemic stroke risk among non-diabetics. The TyG index is a valuable indicator for assessing insulin resistance. However, the potential benefits of lifestyle changes for those with significantly high TyG levels need to be clarified by more research to develop more effective stroke prevention strategies.
METHODS: In this prospective cohort study, data was collected across three consecutive biennial surveys of the Kailuan Study from 2006 to 2011. The dual-trajectory model was used to determine the temporal development of TyG levels and lifestyle scores. Statistical analysis involved Cox regression models to evaluate the association between TyG-lifestyle trajectories and ischemic stroke risk, adjusting for potential confounders.
RESULTS: A total of 44,403 participants were included, with five distinct TyG levels and lifestyle scores trajectory subtypes identified. In the multivariable-adjusted analyses, significant differences in ischemic stroke risk among the trajectory subtypes. Group 5, characterized by the highest TyG levels and moderate lifestyle scores, exhibited the greatest ischemic stroke risk (HR = 1.81, 95% CI: 1.51-2.18), while group 4, with moderate TyG levels and higher lifestyle scores, demonstrated the lowest risk (HR = 1.19, 95% CI: 1.04-1.37), compared with group 3. Participants with elevated TyG levels were at an increased risk of ischemic stroke in cases of pronounced insulin resistance, even with a healthy lifestyle.
CONCLUSIONS: This study reveals the significant associations between the identified TyG and lifestyle trajectories and the stratification of ischemic stroke risk among non-diabetics. The TyG index is a valuable indicator for assessing insulin resistance. However, the potential benefits of lifestyle changes for those with significantly high TyG levels need to be clarified by more research to develop more effective stroke prevention strategies.
摘要：
背景：甘油三酯-葡萄糖（TyG）指数，胰岛素抵抗的替代标志，与缺血性中风的风险有关。然而,TyG水平之间的相互作用，生活方式因素，它们对非糖尿病人群卒中风险的集体影响仍未充分探索。本研究旨在评估非糖尿病人群中缺血性卒中与TyG指数和生活方式联合发展的关系。
方法：在这项前瞻性队列研究中，数据收集自2006年至2011年对开luan研究进行的连续3个两年期调查.双轨迹模型用于确定TyG水平和生活方式得分的时间发展。统计分析涉及Cox回归模型，以评估TyG生活方式轨迹与缺血性卒中风险之间的关联。调整潜在的混杂因素。
结果：共纳入44,403名参与者，确定了五种不同的TyG水平和生活方式得分轨迹亚型。在多变量调整分析中，轨迹亚型之间缺血性卒中风险的显着差异。第5组，以最高的TyG水平和中等的生活方式得分为特征，表现出最大的缺血性卒中风险(HR=1.81，95%CI：1.51-2.18)，而第4组，TyG水平中等，生活方式得分较高，风险最低(HR=1.19，95%CI：1.04-1.37)，与第3组相比。在胰岛素抵抗明显的情况下，TyG水平升高的参与者患缺血性卒中的风险增加。即使有健康的生活方式。
结论：本研究揭示了在非糖尿病患者中确定的TyG和生活方式与缺血性卒中风险分层之间的显著关联。TyG指数是评估胰岛素抵抗的有价值的指标。然而,对于TyG水平显著高的人群,改变生活方式的潜在益处需要通过更多研究来阐明,以制定更有效的卒中预防策略.
方法：在这项前瞻性队列研究中，数据收集自2006年至2011年对开luan研究进行的连续3个两年期调查.双轨迹模型用于确定TyG水平和生活方式得分的时间发展。统计分析涉及Cox回归模型，以评估TyG生活方式轨迹与缺血性卒中风险之间的关联。调整潜在的混杂因素。
结果：共纳入44,403名参与者，确定了五种不同的TyG水平和生活方式得分轨迹亚型。在多变量调整分析中，轨迹亚型之间缺血性卒中风险的显着差异。第5组，以最高的TyG水平和中等的生活方式得分为特征，表现出最大的缺血性卒中风险(HR=1.81，95%CI：1.51-2.18)，而第4组，TyG水平中等，生活方式得分较高，风险最低(HR=1.19，95%CI：1.04-1.37)，与第3组相比。在胰岛素抵抗明显的情况下，TyG水平升高的参与者患缺血性卒中的风险增加。即使有健康的生活方式。
结论：本研究揭示了在非糖尿病患者中确定的TyG和生活方式与缺血性卒中风险分层之间的显著关联。TyG指数是评估胰岛素抵抗的有价值的指标。然而,对于TyG水平显著高的人群,改变生活方式的潜在益处需要通过更多研究来阐明,以制定更有效的卒中预防策略.
