Association Between Triglyceride-Glucose Index and Hypertension: A Meta-Analysis

Abstract

Background: Triglyceride-glucose (TyG) index is a recently proposed surrogate indicator of insulin resistance. Previous studies evaluating the association between TyG index and hypertension risk in general adult population showed inconsistent results. We performed a meta-analysis to systematically evaluate this association.Methods: Observational studies, which evaluated the independent association between TyG index and hypertension in the general adult population, were identified by systematic search of PubMed, Embase, Web of Science, Wanfang data, and Chinese National Knowledge Infrastructure databases. A random-effect model, which incorporated the potential intra-study heterogeneity, was used for the meta-analysis.Results: Eight observational studies including 200,044 participants were included. Results showed that compared with those with the lowest category of TyG index, subjects with the highest category of TyG index were associated with higher odds of hypertension [adjusted risk ratio (RR): 1.53, 95% confidence interval (CI): 1.26–1.85, I2 = 54%, P < 0.001]. Sensitivity analysis by excluding one dataset at a time showed consistent result (adjusted RR: 1.44–1.62, P all < 0.001). Results of univariate meta-regression analysis showed that differences in sample size, mean age, male proportion, mean body mass index, and study quality score among the included studies did not have significant influence on the association between TyG index and hypertension (P values all > 0.10), suggesting that differences in these characteristics may not be the major source of heterogeneity. Subgroup analyses showed that study characteristics such as study design, participant ethnicity, age, or sex of the participants did not significantly affect the association (P for subgroup difference all >0.05).Conclusions: Higher TyG index may be associated with higher odds of hypertension in general adult population. Large-scale prospective cohort studies are needed to validate these findings, and further studies are needed to elucidate the potential pathophysiological mechanisms underlying the association between TyG index and hypertension.

Triglyceride-Glucose Index and the Risk of Stroke: A Systematic Review and Dose-Response Meta-Analysis

“…Third, IR increases blood coagulability by promoting the activation, adhesion, and aggregation of platelet [29][30][31], while the unstable plaques and impaired vascular autonomic regulation caused by arteriosclerosis increase the chance of thrombosis. Fourth, Studies also reported that the TyG index was involved in the onset and development of hypertension [32], diabetes [6], and hyperuricemia [33], while stroke is often the combined effect of these risk factors.…”

Triglyceride-Glucose Index and the Prognosis of Patients with Acute Ischemic Stroke: A Meta-Analysis

“…All of these factors have been associated with poor clinical outcomes in patients with acute IS. Moreover, a higher TyG index has been related to many risk factors of IS, such as hypertension [35] ▶table 2 Quality evaluation of the included cohort studies via the NOS. and diabetes [36], which may also partly explain the relationship between TyG index and poor prognosis in the patients with acute IS.…”

“…All of these factors have been associated with poor clinical outcomes in patients with acute IS. Moreover, a higher TyG index has been related to many risk factors of IS, such as hypertension 35 and diabetes 36 , which may also partly explain the relationship between TyG index and poor prognosis in the patients with acute IS. However, these may not be the predominant mechanisms because multivariate analyses with adjustment of the comorbidities were applied in all of the included studies when the association between TyG index and outcomes of patients with acute IS was presented.…”

Skipping Breakfast Is Associated with Hypertension in Adults: A Meta-Analysis

“…Studies were identified via systematic search of electronic databases of PubMed and Embase via the following terms: (1) “breakfast” OR “morning meal” OR “eating patterns” OR “meal frequency” OR “skipping meals” and (2) “hypertension” OR “blood pressure” OR “hypertensive.” The search strategies were developed based on previous meta-analyses of “skipping breakfast” [ 8 ] and “hypertension” [ 25 ], respectively, which have been validated in these previous meta-analyses. The search was limited to human studies published in English.…”