Multifactorial Issues Associated with Sexual Dysfunction in Men
James Um1, Shivam Patel, M.D.2 Michael D. Lutz, M.D.2,3
1B.S. Oakland University William Beaumont School of Medicine
2Department of Urology Corewell Health William Beaumont University Hospital
3Michigan Institute of Urology
Introduction
Aims and Objectives
1. To understand the demographics of the participants who completed the Michigan Institute of Urology’s Men’s Health Questionnaire. The Men’s Health Foundation since its inception has been dedicated to the efforts to assist the men in the greater Detroit metropolitan area to become advocates for their own health. �
2. To explore the relationship between behavioral/lifestyle choices of men presenting with sexual dysfunction without any other comorbidities (Cardiovascular Disease, Stroke, Diabetes, obesity, cancer)
Methods
Cross-Sectional Survey Based Study:
Completed Health Questionnaires from Men’s Health Event 2023 (Detroit, MI) �(n ≈ 711 participants)
Study Population Selection
Data Collection/Structured Questionnaires assessing:
Statistical Analysis:
Results
Table 1. Demographics
Characteristic | Value (N=711) |
Race | |
Black/African American | 351 (49.4%) |
White/Caucasian | 312 (43.9%) |
Asian | 18 (2.5%) |
Other / Multiracial | 30 (4.2%) |
Ethnicity | |
Non-Hispanic or Latino | 680 (95.6%) |
Hispanic or Latino | 31 (4.4%) |
Age | |
≤40 | 111 (15.6%) |
41–50 | 94 (13.2%) |
51–60 | 201 (28.3%) |
61–70 | 196 (27.6%) |
71–80 | 100 (14.1%) |
≥81 | 9 (1.3%) |
Table 2. Association Between Lifestyle Factors and Sexual Desire/Libido
Lifestyle Factors | Full Cohort p-value | Excluded Cohort p-value |
Alcohol Intake | 0.2345 | 0.7426 |
E-cigarette Use | 0.0073* (↑) | 0.0360* (↑) |
Marijuana Use | 0.0254* (↑) | 0.6584 |
Resistance Training (>3x/week) | 0.0001* (↑) | 0.2273 |
Aerobic Exercise (>3x/week) | 0.0045* (↑) | 0.0445* (↑) |
Red Meat Consumption (>3x/week) | 0.0026* (↓) | 0.1483 |
Smoking | 0.7237 | 0.9955 |
Fast Food (>3x/week) | 0.0881 | 0.0049* (↑) |
Caffeine Intake | 0.0595 | 0.3039 |
Sleep Duration | 0.0087* (↑) | 0.8132 |
Spiritual/Religious | 0.7613 | 0.4320 |
Prayer/Meditation | 0.3386 | 0.4987 |
Chi-square test; significance defined as p < 0.05 * Indicates statistically significant, ↑ indicates positive correlation, ↓ indicates negative correlation | ||
Table 3. Association Between Lifestyle Factors and Sexual Activity Frequency
Lifestyle Factors | Full Cohort p-value | Excluded Cohort p-value |
Alcohol Intake | 0.0157* (↑) | 0.0605 |
E-cigarette Use | 0.0131* (↑) | 0.2455 |
Marijuana Use | 0.0436* (↑) | 0.1194 |
Resistance Training (>3x/week) | 0.0014* (↑) | 0.1332 |
Aerobic Exercise (>3x/week) | 0.0160* (↑) | 0.1162 |
Red Meat Consumption (>3x/week) | 0.1121 | 0.0126* (↓) |
Smoking | 0.0792 | 0.2603 |
Fast Food (>3x/week) | 0.2853 | 0.2076 |
Caffeine Intake | 0.1539 | 0.1165 |
Sleep Duration | 0.3456 | 0.7936 |
Spiritual/Religious | 0.6134 | 0.3557 |
Prayer/Meditation | 0.5395 | 0.2739 |
Chi-square test; significance defined as p < 0.05 * Indicates statistically significant, ↑ indicates positive correlation, ↓ indicates negative correlation | ||
Summary of Findings
Several lifestyle factors were associated with both sexual activity frequency and libido on bivariate analysis, including substance use and exercise-related behaviors. However, after exclusion of patients with comorbidities, most associations were attenuated. For sexual activity frequency, only red meat consumption remained significant (p=0.0126), while for libido, e-cigarette use (p=0.0360), aerobic exercise (p=0.0445), and fast food consumption (p=0.0049) remained significant. These findings suggest that observed relationships between lifestyle factors and sexual function may be influenced by underlying health status.
Conclusions
This study demonstrates that modifiable lifestyle behaviors are meaningfully associated with male sexual function. The attenuation of several associations following comorbidity exclusion suggests that men with underlying conditions may benefit most from targeted lifestyle intervention as a non-pharmacological adjunct to standard management of sexual dysfunction. Notably, red meat consumption more than three times per week was independently associated with decreased sexual activity frequency after comorbidity exclusion, highlighting the relevance of diet in men without traditional risk factors. Resistance training, aerobic exercise, and dietary modification emerge as the most clinically actionable recommendations for sexual health management.
References
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Acknowledgements
We would like to thank the Department of Urology at Corewell Health William Beaumont University Hospital for their mentorship and support. We also acknowledge the Michigan Institute of Urology for providing access to shared data utilized in this study. We are grateful to the patients and participating sites in the Detroit Metropolitan Area for their contributions.