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Risk Factors for Erectile Dysfunction in a Population Based Cohort

Login to Access Video or Poster Abstract: MP84-13
Sources of Funding: None

Introduction

Multiple disease states and medications have been correlated with erectile dysfunction, however, few studies have evaluated risk factors in a population-based model. We sought to evaluate risk factors for erectile dysfunction using a population-based database.

Methods

The Olmstead County Study of Urinary Symptoms and Health Status among Men represents a prospective, ongoing study of men aged 40 and older and living in Olmsted County, Minnesota. The database includes detailed information on demographics, laboratory testing, medications, and comorbid conditions as well as assessments of erectile function using the Brief Male Sexual Inventory (BMSI) beginning in 2002. Men without a sexual partner or those with prior pelvic surgery were excluded. Univariate and multivariate analyses were performed of medical conditions and medication use to assess relationships with BMSI scores. Additional models were used to compare the impact of severity of disease as indirectly measured by the number of medications used for that condition (i.e. hypertension with one, two, three, or more medications)

Results

937 men met inclusion criteria, with a mean age of 61 years (SD 8.7). Mean BMSI score was 7.4 (3.6). Univariate analysis demonstrated age, hypertension, hyperlipidemia, diabetes, chronic kidney disease, myocardial infarction (MI), stroke, coronary artery disease (CAD), and benign prostatic hyperplasia were all associated with lower BMSI scores (p<0.05). When controlling for all significant univariate risk factors, only age (parameter estimate [PE] -0.2/year over age 40), cardiovascular disease (MI, stroke, CAD; PE -0.7), diabetes (PE -0.7), insulin (PE -2.0), and beta-blocker use (PE -0.6) maintained significance (p<0.05). In terms of equivalence for factors contributing to erectile dysfunction, this data suggests that cardiovascular disease is equivalent to 3.5 years of aging, diabetes to 3.5 years of aging, insulin use to 10 years of aging, and beta-blocker use to 3 years of aging.

Conclusions

Multiple risk factors are associated with erectile dysfunction. This data can help guide patient counseling regarding modifiable risk factors in the hopes of delaying erectile dysfunction over time.

Funding

None

Authors
George Bailey
Joshua Piotrowski
Tanner Miest
Francisco Maldonado
Ziegelmann Matthew
Brian Montgomery
Landon Trost
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