ArticleInternational journal of impotence research2024
Association between cardiometabolic index and erectile dysfunction among US adults: a cross-sectional analysis of the National Health and Nutrition Examination Survey 2001-2004.
Article in International journal of impotence research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Association between modified cardiometabolic index and cardiometabolic multimorbidity in middle-aged and older adults: evidence from two nationwide cohort studies.Scientific reports · 2026Article
- Association between social determinants of health and erectile dysfunction: insights from a nationally representative US sample.Translational andrology and urology · 2025Article
- Comparison of the predictive value of 17 anthropometric in-dices for the prevalence of metabolic syndrome among Chinese residents: a cross-sectional study.Diabetology & metabolic syndrome · 2025Article
- Gender differences in the relationship between cardiometabolic index and all-cause and specific mortality in the United States adults: a national study.Frontiers in endocrinology · 2025Article
- Association between erectile dysfunction and the predicted 10-year risk for atherosclerosis cardiovascular disease among U.S. men: a population-based study from the NHANES 2001-2004.Frontiers in endocrinology · 2024Article
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7 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to assess the association between a new metabolic index, the cardiometabolic index (CMI) and erectile dysfunction (ED). The data for this study relied on the National Health and Nutrition Examination Survey (NHANES), a cross-sectional database, between 2001 and 2004. The CMI was calculated as the following formula: Triglyceride (TG) (mmol/L)/ High density lipid-cholesterol (HDL-C) (mmol/L) ×waist-height ratio (WHtR). The multivariate logistic regression analyses were conducted to assess the association between CMI and ED, supplemented by subgroup analysis and dose-response curves. Finally, a total of 1367 adult male participants were identified, and the mean CMI was 0.83 ± 0.02. Multivariate logistic regression analysis showed that in model 2 controlling for all potential confounders, 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 (Tertiles). The results showed that male participants in CMI Tertile 3 group had a higher risk of ED than those in Tertile 1 group in model 2 (OR = 2.07, 95% CI: 1.12, 3.83, P = 0.024). The subgroup analysis of model 2 demonstrated that CMI was significantly associate with ED in participants aged ≥50 y (OR = 2.31, 95% CI: 1.35, 3.95, P = 0.005), body mass index (BMI) > 30 kg/m
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