Submitted:
26 June 2025
Posted:
26 June 2025
You are already at the latest version
Abstract

Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design and Participants
2.2. Assessment of Erectile Dysfunction
2.3. Clinical and Psychosocial Variables
2.4. Sample Size and Power Calculation
2.5. Statistical Analysis
3. Results
3.1. Characteristics of the Study Population by Presence of Erectile Dysfunction
3.2. Independent Risk Factors for Erectile Dysfunction
3.3. Stratified Analysis and Potential Interaction (Effect Modification Analysis)
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Lasker, G.F.; Maley, J.H.; Kadowitz, P.J. A Review of the Pathophysiology and Novel Treatments for Erectile Dysfunction. Adv Pharmacol Sci 2010, 2010, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Safak, Y.; Inal Azizoglu, S.; Alptekin, F.B.; Kuru, T.; Karadere, M.E.; Kurt Kaya, S.N.; Yılmaz, S.; Yıldırım, N.N.; Kılıçtutan, A.; Ay, H.; et al. Antidepressant-Associated Sexual Dysfunction in Outpatients. BMC Psychiatry 2025, 25, 317. [Google Scholar] [CrossRef]
- Kessler, A.; Sollie, S.; Challacombe, B.; Briggs, K.; Van Hemelrijck, M. The Global Prevalence of Erectile Dysfunction: A Review. BJU Int 2019, 124, 587–599. [Google Scholar] [CrossRef]
- Belladelli, F.; Li, S.; Zhang, C.A.; Del Giudice, F.; Basran, S.; Muncey, W.; Glover, F.; Seranio, N.; Fallara, G.; Montorsi, F.; et al. The Association Between Insomnia, Insomnia Medications, and Erectile Dysfunction. Eur Urol Focus 2024, 10, 139–145. [Google Scholar] [CrossRef] [PubMed]
- Taddei-Allen, P. Economic Burden and Managed Care Considerations for the Treatment of Insomnia. Am J Manag Care 2020, 26, S91–S96. [Google Scholar] [CrossRef]
- Canever, J.B.; Zurman, G.; Vogel, F.; Sutil, D.V.; Diz, J.B.M.; Danielewicz, A.L.; Moreira, B. de S.; Cimarosti, H.I.; de Avelar, N.C.P. Worldwide Prevalence of Sleep Problems in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis. Sleep Med 2024, 119, 118–134. [Google Scholar] [CrossRef] [PubMed]
- Morin, C.M.; Jarrin, D.C. Epidemiology of Insomnia. Sleep Med Clin 2022, 17, 173–191. [Google Scholar] [CrossRef]
- Ohayon, M.M. Epidemiological Overview of Sleep Disorders in the General Population. Sleep Med Res 2011, 2, 1–9. [Google Scholar] [CrossRef]
- Zhang, H.; Wang, S.; Ma, S.; Zhang, C.; Wang, Z.; Yan, P. Causal Relationship between Worry, Tension, Insomnia, Sensitivity to Environmental Stress and Adversity, and Erectile Dysfunction: A Study Using Mendelian Randomization. Andrology 2024, 12, 1272–1279. [Google Scholar] [CrossRef]
- Higgins, A.; Nash, M.; Lynch, A.M. Antidepressant-Associated Sexual Dysfunction: Impact, Effects, and Treatment. Drug Healthc Patient Saf 2010, 2, 141–150. [Google Scholar] [CrossRef]
- Montejo, A.L.; Montejo, L.; Baldwin, D.S. The Impact of Severe Mental Disorders and Psychotropic Medications on Sexual Health and Its Implications for Clinical Management. World Psychiatry 2018, 17, 3–11. [Google Scholar] [CrossRef] [PubMed]
- von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies. J Clin Epidemiol 2008, 61, 344–349. [Google Scholar] [CrossRef]
- Vandenbroucke, J.P.; von Elm, E.; Altman, D.G.; Gøtzsche, P.C.; Mulrow, C.D.; Pocock, S.J.; Poole, C.; Schlesselman, J.J.; Egger, M. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration. PLoS Med 2007, 4, e297. [Google Scholar] [CrossRef]
- Rhoden, E.L.; Telöken, C.; Sogari, P.R.; Vargas Souto, C.A. The Use of the Simplified International Index of Erectile Function (IIEF-5) as a Diagnostic Tool to Study the Prevalence of Erectile Dysfunction. Int J Impot Res 2002, 14, 245–250. [Google Scholar] [CrossRef]
- Erazo, M.; Fors, M.; Mullo, S.; González, P.; Viada, C. Internal Consistency of Yesavage Geriatric Depression Scale (GDS 15-Item Version) in Ecuadorian Older Adults. Inquiry (United States) 2020, 57. [Google Scholar] [CrossRef] [PubMed]
- Okajima, I.; Miyamoto, T.; Ubara, A.; Omichi, C.; Matsuda, A.; Sumi, Y.; Matsuo, M.; Ito, K.; Kadotani, H. Evaluation of Severity Levels of the Athens Insomnia Scale Based on the Criterion of Insomnia Severity Index. Int J Environ Res Public Health 2020, 17, 8789. [Google Scholar] [CrossRef] [PubMed]
- Dudley, W.N.; Benuzillo, J.G.; Carrico, M.S. SPSS and SAS Programming for the Testing of Mediation Models. Nurs Res 2004, 53, 59–62. [Google Scholar] [CrossRef]
- Sullivan, K.M.; Dean, A.; Soe, M.M. On Academics : OpenEpi: A Web-Based Epidemiologic and Statistical Calculator for Public Health. Public Health Reports® 2009, 124, 471–474. [Google Scholar] [CrossRef]
- ClinCalc.com » Statistics » Post-hoc Power Calculator Post-Hoc Power Calculator. Evaluate Statistical Power of an Existing Study. Available online: https://clincalc.com/stats/Power.aspx (accessed on 28 April 2023).
- Morishita, S. Clonazepam as a Therapeutic Adjunct to Improve the Management of Depression: A Brief Review. Human Psychopharmacology: Clinical and Experimental 2009, 24, 191–198. [Google Scholar] [CrossRef]
- Osis, L.; Bishop, J.R. Pharmacogenetics of SSRIs and Sexual Dysfunction. Pharmaceuticals 2010, 3, 3614–3628. [Google Scholar] [CrossRef]
- Hosseinimehr, S.J.; Khorasani, G.; Azadbakht, M.; Zamani, P.; Ghasemi, M.; Ahmadi, A. Effect of Aloe Cream versus Silver Sulfadiazine for Healing Burn Wounds in Rats. Acta Dermatovenerol Croat 2010, 18, 2–7. [Google Scholar] [PubMed]
- Fossey, M.D.; Hamner, M.B. Clonazepam-Related Sexual Dysfunction in Male Veterans with PTSD. Anxiety 1994, 1, 233–236. [Google Scholar] [CrossRef] [PubMed]
- Jing, E.; Straw-Wilson, K. Sexual Dysfunction in Selective Serotonin Reuptake Inhibitors (SSRIs) and Potential Solutions: A Narrative Literature Review. Mental Health Clinician 2016, 6, 191–196. [Google Scholar] [CrossRef] [PubMed]
- Rossman, J. Cognitive-Behavioral Therapy for Insomnia: An Effective and Underutilized Treatment for Insomnia. Am J Lifestyle Med 2019, 13, 544–547. [Google Scholar] [CrossRef]
| Erectile dysfunction | ||||
|---|---|---|---|---|
| Variable | All | No (n=83) |
Yes (n=100) | p |
| Age (years) | 75.12+7.24 | 74.51+7.09 | 75.62+7.36 | 0.305 |
| ≥75 years old | 52.50% | 49.40% | 55.00% | 0.462 |
| Diabetes | 51.4% | 51.8% | 51.0% | 0.999 |
| Hypertension | 61.7% | 65.1% | 59.0% | 0.447 |
| Tobacco use | 55.20% | 56.60% | 54.00% | 0.766 |
| Alcohol use | 27.9% | 27.7% | 28.0% | 0.999 |
| Insomnia | 50.3% | 41.00% | 58.00% | 0.026 |
| Depression | 46.4% | 41.00% | 51.00% | 0.184 |
| Antidepressant use | 47.0% | 37.3% | 55.0% | 0.018 |
| Data are presented as mean±standard deviation or percentage, as appropriate. Comparisons between groups were performed using Student’s t test for continuous variables and Fisher’s exact test for categorical variables. | ||||
| Biivariate model | Multivariate model | |||||||
|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | p | AdOR | 95% CI | p | |||
| Lower | Upper | Lower | Upper | |||||
| >75 years old | 1.25 | 0.70 | 2.24 | 0.450 | ||||
| Type 2 Diabetes (DM2) | 0.97 | 0.54 | 1.73 | 0.913 | ||||
| Hypertension (HAS) | 0.77 | 0.42 | 1.41 | 0.401 | ||||
| Tobacco use | 0.90 | 0.50 | 1.62 | 0.722 | ||||
| Alcohol use | 1.29 | 0.71 | 2.35 | 0.408 | ||||
| Depression | 1.50 | 0.83 | 2.70 | 0.176 | ||||
| Insomnia | 1.99 | 1.10 | 3.59 | 0.022 | 1.98 | 1.09 | 3.60 | 0.026 |
| Antidepressant use | 2.05 | 1.13 | 3.71 | 0.018 | 2.04 | 1.12 | 3.72 | 0.021 |
| OR = odds ratio; aOR = adjusted odds ratio; CI = confidence interval; DM2 = type 2 diabetes mellitus; HAS = systemic arterial hypertension. In the multivariate model, only insomnia and antidepressant use remained statistically significant (p< 0.05). | ||||||||
| Group | n | Insomnia | Antidepressant use | % with ED | AdOR | 95% CI | P | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| 1 Reference | 50 | No | No | 36.0% | Reference | |||
| 2 Insomnia only | 47 | Yes | No | 57.4% | 2.40 | 1.06 | 5.43 | 0.036 |
| 3 Antidepressants only | 41 | No | Yes | 58.5% | 2.51 | 1.07 | 5.86 | 0.033 |
| 4 Combined effects | 45 | Yes | Yes | 68.9% | 3.94 | 1.67 | 9.26 | 0.002 |
| aOR = adjusted odds ratio; CI = confidence interval. The reference group (no insomnia and no antidepressant use) served as the comparator. The combined effect of both exposures was additive, with no statistically significant synergistic interaction observed (RERI ≈ 0.03; S ≈ 1.01). | ||||||||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).