Association between triglyceride glucose body mass index and cardiovascular disease in adults: evidence from NHANES 2011- 2020

• Published in: Frontiers in endocrinology (Lausanne) Vol. 15; p. 1362667
• Main Authors: Wang, Run, Cheng, Xiaobing, Tao, Weijun
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 16.07.2024
• Subjects: Adult; Aged; Blood Glucose - analysis; Blood Glucose - metabolism; Body Mass Index; cardiovascular disease; Cardiovascular Diseases - blood; Cardiovascular Diseases - epidemiology; Cardiovascular Diseases - etiology; Cross-Sectional Studies; Endocrinology; Female; Humans; Insulin Resistance; Male; Middle Aged; NHANES; Nutrition Surveys; Prevalence; Risk Factors; Triglycerides - blood; TyG-BMI; United States - epidemiology; United States; TyG-BMI; cardiovascular disease; NHANES; insulin resistance; cross-sectional studies
• ISSN: 1664-2392; 1664-2392
• DOI: 10.3389/fendo.2024.1362667

The association between insulin resistance and cardiovascular diseases (CVD) is of significant interest. However, there is limited published research on the relationship between CVD and the triglyceride glucose-body mass index (TyG-BMI). This study aims to examine the association between TyG-BMI and CVD in US adults. We analyzed data from 11016 adults collected through the 2011-2020 NHANES. Employing weighted generalized linear models, subgroup analysis, sensitivity analysis, and receiver operating characteristic curves, we examined the association between the TyG-BMI index and CVD. Nonlinear associations were investigated using restricted cubic splines. Higher TyG-BMI values were significantly associated with an increased prevalence of CVD (P<0.001). Weighted generalized linear models consistently demonstrated a positive association across all models. Specifically, individuals in the highest tertile of TyG-BMI had a 38% higher CVD prevalence than those in the lowest quartile (OR=1.380; 95% CI=1.080, 1.763). Unweighted logistic regression models further confirmed these findings. Sex, race, education, family income to poverty ratio, smoking, hypertension, and diabetes did not modify this positive association (P for interaction >0.05). Incorporating the TyG-BMI index into traditional risk factor models marginally improved the prediction of CVD prevalence (P for comparison <0.05). The TyG-BMI index, an indicator of insulin resistance, is significantly positive associated with a higher prevalence of CVD. These findings underscore the importance of managing insulin resistance to prevent CVD and highlight the need for further research into the underlying mechanisms of this association.