Association between cardiometabolic index and erectile dysfunction among US adults: A cross-sectional analysis of the National Health and Nutrition Examination Survey 2001-2004

Abstract

Abstract Background: The cardiometabolic index (CMI), a new metabolic index, has had few studies exploring the relationship with erectile dysfunction (ED). Objective: The aim of this study was to assess the association between CMI and ED in among U.S adult men from the National Health and Nutrition Examination Survey (NHANES). Methods: The data for this study relied on the NHANES database. We used data from two separate NHANES datasets for the analysis: 2001-2002 and 2003-2004. Calculate CMI index: Triglyceride (TG) (mmol/L)/ High density lipid-cholesterol (HDL-C) (mmol/L) ×waist-height ratio (WHtR). We used multivariate logistic regression, subgroup analysis, and dose-response curves to assess the relationship between CMI and ED. Results: From 2001 to 2004, 1367 adult male participants were identified. Multivariate logistic regression analysis showed that in the fully adjusted model 2, CMI was significantly associated with ED (OR=1.49, 95% CI: 1.09, 2.04) (p=0.017). Subsequently, we convert the CMI from a continuous variable to a categorical variable (tertile), the results showed that the risk of ED was significantly increased in the T3 group compared with the T1 group in the adjusted model 2 (OR=2.07, 95% CI: 1.12, 3.83, P=0.024). In the fully adjusted model 2, the results of the subgroup analysis showed that age ≥50 years (OR=2.31, 95% CI: 1.35, 3.95, P=0.005), BMI >30 kg/m2 (OR=1.78, 95% CI: 1.10, 2.90, P=0.023), hypertension (OR=1.89, 95% CI: 1.63, 3.45, P=0.020), diabetes mellitus (OR= 1.67, 95% CI: 1.13, 2.47, P=0.015), cardiovascular disease (CVD) (OR=1.54, 95% CI: 1.12, 2.10, P=0.011) and smoking (OR=2.07, 95% CI: 1.26, 3.39, P=0.007) categories were associated with a higher prevalence of ED Conclusions: This study demonstrates a strong association between CMI and ED and an increased risk of ED with higher CMI levels. More prospective studies with large samples and good designs are needed to validate our results in the future