Objective:To explore the correlation between triglyceride-glucose (TyG) index-body mass index (BMI) product (TyG-BMI) and hypertension.Methods:Based on the cross-sectional survey data of adult hypertension prevalence in Hunan Province from June 2013 to May 2014, 4 012 subjects aged ≥18 years with complete key data were included. Binary logistic regression analysis was used to analyze the correlation between TyG-BMI and hypertension, and receiver operating characteristic (ROC) curve was used to compare the ability of TyG index and TyG-BMI to identify hypertension.Results:A total of 4 012 subjects were included in this study, with an average age of (54.6±12.6)years, and males accounted for 40.98%(1 644/4 012). The prevalence of hypertension was 38.33%(1 538/4 012). Logistic regression analysis showed that elevated TyG-BMI was an independent risk factor for hypertension ( P<0.05). In the fully adjusted model, each 1/4 increase in TyG-BMI was associated with a 1.017-fold increase in the risk of hypertension ( OR=1.017, 95% CI: 1.014-1.019). Compared with the lowest quartile group (Q 1), the higher quartile groups (Q 2, Q 3, Q 4) of TyG-BMI had a higher risk of hypertension, with OR values of 1.841, 2.265, and 4.386, respectively. Restricted cubic spline plot showed a linear dose-response relationship between TyG-BMI and the risk of hypertension (overall trend P<0.001). In subgroup analyses stratified by age, gender, smoking and drinking status, TyG-BMI was positively correlated with hypertension. In addition, ROC curve analysis showed that TyG-BMI had better diagnostic value for hypertension compared with TyG index. Conclusions:TyG-BMI is an independent risk factor for hypertension. Excessively high TyG-BMI or gradual increase of TyG-BMI will increase the risk of hypertension, and TyG-BMI has higher value in identifying hypertension compared with TyG index.

Objective:To explore the correlation between triglyceride-glucose (TyG) index-body mass index (BMI) product (TyG-BMI) and hypertension.Methods:Based on the cross-sectional survey data of adult hypertension prevalence in Hunan Province from June 2013 to May 2014, 4 012 subjects aged ≥18 years with complete key data were included. Binary logistic regression analysis was used to analyze the correlation between TyG-BMI and hypertension, and receiver operating characteristic (ROC) curve was used to compare the ability of TyG index and TyG-BMI to identify hypertension.Results:A total of 4 012 subjects were included in this study, with an average age of (54.6±12.6)years, and males accounted for 40.98%(1 644/4 012). The prevalence of hypertension was 38.33%(1 538/4 012). Logistic regression analysis showed that elevated TyG-BMI was an independent risk factor for hypertension ( P<0.05). In the fully adjusted model, each 1/4 increase in TyG-BMI was associated with a 1.017-fold increase in the risk of hypertension ( OR=1.017, 95% CI: 1.014-1.019). Compared with the lowest quartile group (Q 1), the higher quartile groups (Q 2, Q 3, Q 4) of TyG-BMI had a higher risk of hypertension, with OR values of 1.841, 2.265, and 4.386, respectively. Restricted cubic spline plot showed a linear dose-response relationship between TyG-BMI and the risk of hypertension (overall trend P<0.001). In subgroup analyses stratified by age, gender, smoking and drinking status, TyG-BMI was positively correlated with hypertension. In addition, ROC curve analysis showed that TyG-BMI had better diagnostic value for hypertension compared with TyG index. Conclusions:TyG-BMI is an independent risk factor for hypertension. Excessively high TyG-BMI or gradual increase of TyG-BMI will increase the risk of hypertension, and TyG-BMI has higher value in identifying hypertension compared with TyG index.