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Cited by 124Sexual function and dysfunction studiesHormonal and reproductive studiesSperm and Testicular Function

Low Levels of Androgens in Men with Erectile Dysfunction and Obesity

Corona, Giovanni, Mannucci, Edoardo, Fisher, Alessandra D., Lotti, Francesco, Petrone, Luisa, Balercia, Giancarlo, Bandini, Elisa, Forti, Gianni +1 more·2008·The Journal of Sexual Medicine
DOI 10.1111/j.1743-6109.2008.00856.x
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Abstract

Introduction: The relationship between obesity and erectile dysfunction (ED) has not been completely clarified. Aim: The aim of this study is to investigate the association between different obesity class (the World Health Organization definition) with several hormonal and instrumental parameters, in a large sample of patients with ED. Methods: A consecutive series of 2,435 (mean age 52.1 ± 13.0 years) male patients with ED was investigated. Main Outcome Measures: Several hormonal and biochemical parameters were studied, along with a structured interview on erectile dysfunction (SIEDY), a psychometric questionnaire (Middle Hospital Questionnaire), and penile doppler ultrasound (PDU). Results: Among patients studied, 41.5% were normal weight, while 42.4%, 12.1% and 4.0% showed a BMI of 25–29.9, 30–34.9 and 35 kg/m2 or higher, respectively. Androgen levels (including sex hormone-binding globuline bound and unbound testosterone) decreased as a function of obesity class, while luteinising hormone levels did not show any significant change. Obesity was significantly associated with a higher organic contribution to ED (as assessed by SIEDY scale 1 score), and worse PDU parameters. At multivariate linear regression analysis, after adjustment for confounders (including metabolic syndrome), low androgens remained associated with BMI, while both basal and dynamic (after prostaglandin E1 [PGE1] stimulation) peak systolic velocity (PSV) at PDU resulted significantly associated with age and elevated blood pressure (Adj. r = −0.179, −0.285 and −0.094, −0.071 for age, hypertension and for basal and dynamic PSV, respectively; all P < 0.05). Conclusion: Obesity is characterized by low levels of androgens in men with ED, after adjustment for comorbidities. Obesity associated comorbidities, particularly hypertension, are the most important determinants of arteriogenic obesity–associated ED.

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Authors
Corona, G., Mannucci, E., Fisher, A. D., Lotti, F., Petrone, L., Balercia, G., Bandini, E., Forti, G., & Maggi, M.
Affiliations
  • Ospedale Bellaria (IT)
  • University of Florence (IT)
  • Marche Polytechnic University (IT)
Corresponding author
Maggi, Mario
ORCID
Venue
The Journal of Sexual Medicine
Publisher
Oxford University Press (OUP)
Published
2008-10-01
Volume
5
Issue
10
Pages
2454-2463
ISSN
  • 1743-6095 (ISSN-L)
  • 1743-6109
DOI
10.1111/j.1743-6109.2008.00856.x
OpenAlex
W2152498564
Cited by
124
References
10
Citations by year
2026: 2 · 2025: 6 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 6 · 2018: 6 · 2017: 6 · 2016: 2 · 2015: 6 · 2014: 11 · 2013: 8 · 2012: 9
FWCI
12.41
Type
journal article
Language
en
Open access
closed
Licence
academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations
  • The Journal of Sexual Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Florence Research (University of Florence) (submittedVersion)
Funders
Rilevante Interesse Nazionale
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Sexual function and dysfunction studies
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hormonal and reproductive studies
  • Health Sciences › Medicine › Reproductive Medicine › Sperm and Testicular Function
Keywords
erectile dysfunction, obesity, androgens, testosterone, sex hormone-binding globulin, obesity class, luteinizing hormone, organic erectile dysfunction, penile blood flow, peak systolic velocity, hypertension, metabolic syndrome, prostaglandin E1
MeSH terms
Analysis of Variance, Androgens, Humans, Hypogonadism, Erectile Dysfunction, Italy, Male, Middle Aged, Obesity, Psychometrics, Surveys and Questionnaires, Risk Factors, Severity of Illness Index, Body Mass Index, Multivariate Analysis, Linear Models

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