Relative Fat Mass, A Better Predictor of Erectile Dysfunction
Insights From the NHANES 2001–2004
Bibliographic Data
| ID | 21748815 |
|---|---|
| Authors | Bowen Yang (0009-0007-5608-6260, Oncology, Dongguan Hospital of Guangzhou, University of Chinese Medicine, Dongguan, China), Ban Seok Yang (0009-0006-6824-2673, Guangzhou University of Chinese Medicine), Hanyu Wang (0009-0009-8019-7192, Chengdu University of Traditional Chinese Medicine), Luyi Tang (Guangzhou University), JiuHuan Feng (Guangzhou University of Chinese Medicine), Shufang Hou (0009-0002-0867-853X, Guangzhou University of Chinese Medicine, corresponding author) |
| Year | 2025 |
| Volume | 19 |
| Issue | 1 |
| Pages | 15579883241311218-15579883241311218 |
| Publication date | 2025-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Men s Health (JOURNAL) |
| Journal identifiers | ISSN: 1557-9883 • E-ISSN: 1557-9891 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/15579883241311218 |
| PMID | 39930794 |
| OpenAlex | W4407375294 |
| Language | EN |
| Citations received | 1 |
| References cited | 50 |
Obesity is a significant factor contributing to erectile dysfunction (ED). Early detection of ED generally results in improved treatment outcomes. Our study aims to elucidate the association between relative fat mass (RFM) and ED by analyzing data from the National Health and Nutrition Inspection Survey (NHANES) spanning 2001 to 2004. We used data from NHANES 2001–2004, employing weighted, multivariable-adjusted logistic regression to assess the relationship between RFM and the risk of ED. Additional analyses included subgroup analysis, smooth curve fitting, and threshold effect analysis. Subsequently, the predictive utility of RFM, body mass index (BMI), and waist circumference (WC) for ED was evaluated using the receiver operating characteristic curve and area under the curve (AUC) calculations. A total of 3,947 American male participants were included in this retrospective study within NHANES. Weighted multivariate logistic regression analysis indicated that, after adjusting for potential confounding factors, RFM was positively associated with the risk of ED (OR = 1.03, 95% CI = 1.01-1.05, p .05). In addition, RFM demonstrated superior predictive capability for ED (AUC = 0.644) compared with BMI (AUC = 0.525) and WC (AUC = 0.612). Our findings suggest that higher RFM levels are associated with an increased risk of ED, highlighting its potential utility as a predictive marker for this condition
Area under the curve · Body mass index · Confounding · Environmental health · Erectile dysfunction · Logistic regression · Multivariate statistics · National Health and Nutrition Examination Survey · Obesity · Population · Receiver operating characteristic · Statistics · Waist · Demography · Hormonal and reproductive studies · Mathematics · Medicine · Sexual function and dysfunction studies · Sexuality, Behavior, and Technology · Internal Medicine
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |