Key result
A higher TyG index was significantly associated with an increased risk of hypertension in middle-aged and elderly Chinese adults, with the highest tertile showing an OR of 1.74 compared to the lowest.
Why the study?
The effect of diabetes on the relationship between the TyG index and hypertension has not been extensively studied.
Does a higher TyG index associate with an increased risk of hypertension in middle-aged and elderly Chinese individuals?
Cross-Sectional (n=9,695)
Yes
Does a higher TyG index associate with an increased risk of hypertension in middle-aged and elderly Chinese individuals?
Odds Ratio: 1.74 (95% CI 1.54–1.97)
Absolute Event Rate: 43.4% vs 24.7%
p-value: p=<0.001
A higher TyG index is independently and non-linearly associated with an increased risk of hypertension in middle-aged and elderly Chinese individuals, particularly in women and non-diabetic patients.
Should not yet inform hypertension risk assessment; leaves open prospective validation of TyG as a predictor.
BACKGROUND: The TyG index is thought to be a trustworthy substitute indicator of insulin resistance. Increasing research evidence shows the correlation between TyG and various cardiovascular and cerebrovascular diseases and adverse prognosis. However, the effect of diabetes on the connection between TyG and hypertension has not been extensively studied. In order to identify high-risk individuals, our research aimed to investigate the potential relationship between the TyG index and the risk of hypertension in middle-aged and elderly Chinese individuals. METHODS: This study analyzed and collected information of the middle-aged and elderly population from the 2015 China Health and Retirement Longitudinal Study (CHARLS) database, and three groups were created based on the tertiles of TyG. First, the clinical characteristics of patients in different groups were analyzed univariately, and logistic regression analysis and RCS model were utilized to further clarify the relationship between the TyG index and hypertension. Finally, subgroup analysis was performed to distinguish the effects of different baseline characteristics on the connection between TyG and hypertension. RESULTS: 9695 patients in all were enrolled, including 4548 males (46.9%) and 5147 females (53.1%). The incidence of hypertension in all patients was 33.7%. As displayed in Table 1, as the TyG index rises, the incidence of Diabetes, Heart disease, and Stroke in patients increased accordingly. Similarly, in terms of laboratory indicators, White blood cell, Platelets, Triglycerides, Uricacid, and Hbg increased with the rises of TyG; while the incidence of lung diseases, BUN, and HDL levels showed a downward trend. The RCS model showed that there was a statistically significant nonlinear association between TyG and hypertension (p value <0.001, nonlinear p = 0.008); Subgroup analysis showed that different baseline characteristics may influence the association between TyG and hypertension risk. CONCLUSION: Our study's findings demonstrate a substantial correlation between TyG index and hypertension, showing a positive correlation in both adjusted and unadjusted logistic regression models, which may help identify individuals at risk for hypertension and have great potential through early improvement of blood pressure management. It has great potential to reduce the occurrence related to cardiovascular and cerebrovascular disorders.
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Wang et al. (2025) conducted a cross-sectional in Hypertension (n=9,695). TyG index vs. Lowest TyG index tertile (Q1) was evaluated on Hypertension (OR 1.74, 95% CI 1.54-1.97, p=<0.001). A higher TyG index was significantly associated with an increased risk of hypertension in middle-aged and elderly Chinese adults, with the highest tertile showing an OR of 1.74 compared to the lowest.
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