Association between body size and composition and erectile dysfunction in older men: Osteoporotic Fractures in Men Study

Semen quality and metabolic profile in people with type 1 diabetes with and without erectile dysfunction: a cross-sectional study

PURPOSE

The aim of the present study is to evaluate the association of metabolic and glycemic variables with semen parameters in patients with type 1 diabetes (T1D) with and without erectile dysfunction (ED).

METHODS

The study population included 88 adults with T1D using a continuous glucose monitoring, of whom 28 with ED (ED group) and 60 without it (NO ED group). All men completed the International Index of Erectile Function (IIEF-5) and underwent body composition analysis (BIA) and semen analysis.

RESULTS

ED group showed worse HbA1c levels [median (IQR), 8.4 (7.7, 9.9) vs 7.4 (7, 8.2) %, P < 0.001)], higher insulin dose [60 (51, 65) vs 45 (38, 56) UI/die, P = 0.004)] and a higher total body water and intracellular water as compared with ED group. Men in the ED group presented higher semen volume [2.8 (2.6, 4.2) vs 2.5 (2.2, 2.7) mL, P < 0.001] and sperm concentration [24 (19, 29) vs 20 (12, 23) mil/mL, P = 0.010], but reduced sperm progressive motility [28 (25, 35) vs 35 (25, 36) %, P = 0.011], higher rate of non-progressive motility [15 (10, 15) vs 10 (5, 10) %, P < 0.001] and higher rate of typical morphology [7(5, 8) vs 5 (4, 5) %, P = 0.001]. Based on multivariate logistic regression analysis performed to assess the association between clinical variables and ED, intracellular water (OR 3.829, 95% CI 1.205, 12.163, P = 0.023) resulted as the only independent predictor of ED.

CONCLUSION

Men with T1D and ED showed worse metabolic profile which is associated with poor semen quality, as compared with those without ED.

Semen quality and metabolic profile in people with type 1 diabetes with and without erectile dysfunction: a cross-sectional study

Purpose

The aim of the present study is to evaluate the association of metabolic and glycemic variables with semen parameters in patients with type 1 diabetes (T1D) with and without erectile dysfunction (ED).

Methods

The study population included 88 adults with T1D using a continuous glucose monitoring, of whom 28 with ED (ED group) and 60 without it (NO ED group). All men completed the International Index of Erectile Function (IIEF-5) and underwent body composition analysis (BIA) and semen analysis.

Results

ED group showed worse HbA1c levels [median (IQR), 8.4 (7.7, 9.9) vs 7.4 (7, 8.2) %, P < 0.001)], higher insulin dose [60 (51, 65) vs 45 (38, 56) UI/die, P = 0.004)] and a higher total body water and intracellular water as compared with ED group. Men in the ED group presented higher semen volume [2.8 (2.6, 4.2) vs 2.5 (2.2, 2.7) mL, P < 0.001] and sperm concentration [24 (19, 29) vs 20 (12, 23) mil/mL, P = 0.010], but reduced sperm progressive motility [28 (25, 35) vs 35 (25, 36) %, P = 0.011], higher rate of non-progressive motility [15 (10, 15) vs 10 (5, 10) %, P < 0.001] and higher rate of typical morphology [7(5, 8) vs 5 (4, 5) %, P = 0.001]. Based on multivariate logistic regression analysis performed to assess the association between clinical variables and ED, intracellular water (OR 3.829, 95% CI 1.205, 12.163, P = 0.023) resulted as the only independent predictor of ED.

Conclusion

Men with T1D and ED showed worse metabolic profile which is associated with poor semen quality, as compared with those without ED.

Effects of obesity-related anthropometric indices and body composition on erectile dysfunction mediated by coronary artery disease: A Mendelian randomization study

BACKGROUND

The causal relationship between obesity-related anthropometric indicators/body composition and erectile dysfunction has not been established in previous observational studies.

METHOD

We screened single nucleotide polymorphisms significantly associated with exposure from genome-wide association studies as instrumental variables (p < 5.0 × 10-8 ). The summary statistics for erectile dysfunction were collected from a genome-wide association study with a sample size of 223,805. Exposure and outcome populations included are of European ancestry. We used univariate and multivariate Mendelian randomization (i) to investigate the causal relationship between genetically predicted obesity-related anthropometric indicators/body composition and erectile dysfunction and (ii) to examine the mediating role of coronary artery disease. Mendelian randomization analysis was conducted using an inverse variance weighted method. A series of sensitivity analyses validated the results of the Mendelian randomization analysis. Causal estimates are expressed as odds ratios with 95% confidence intervals.

RESULTS

Obesity-related anthropometric indicators/body composition were associated with an increased risk of erectile dysfunction in univariate Mendelian randomization analyses. For the 1-SD increase in body mass index, the odds ratio was 1.841 (95% confidence interval: 1.049-1.355, p = 0.006). For the 1-SD increase in waist circumference and hip circumference, the odds ratios were 1.275 (95% confidence interval: 1.101-1.478, p = 0.001) and 1.156 (95% confidence interval: 1.015-1.317, p = 0.009), respectively. The odds ratio for the 1-SD increase in whole body fat mass was 1.221 (95% confidence interval: 1.047-1.388, p = 0.002). For the 1-SD increase in leg fat percentage (left and right), the odds ratios were 1.256 (95% confidence interval: 1.006-1.567, p = 0.044) and 1.285 (95% confidence interval: 1.027-1.608, p = 0.028), respectively. For the 1-SD increase in leg fat mass (left and right), the odds ratios were 1.308 (95% confidence interval: 1.108-1.544, p = 0.001) and 1.290 (95% confidence interval: 1.091-1.524, p = 0.003), respectively. For the 1-SD increase in arm fat mass (left and right), the odds ratios were 1.269 (95% confidence interval: 1.113-1.447, p < 0.001) and 1.254, respectively. Multivariate Mendelian randomization analysis showed that after adjusting for coronary artery disease, some genetic predispositions to obesity-related anthropometric indicators and body composition were still associated with an increased risk of erectile dysfunction. Significant associations were found for waist circumference-erectile dysfunction (odds ratio: 1.218, 95% confidence interval: 1.036-1.432), leg fat percentage (left)-erectile dysfunction (odds ratio: 1.245, 95% confidence interval: 1.035-1.497), leg fat mass (left)-erectile dysfunction (odds ratio: 1.264, 95% confidence interval: 1.051-1.521), arm fat mass (right)-erectile dysfunction (odds ratio: 1.186, 95% confidence interval: 1.024-1.373), and arm fat mass (left)-erectile dysfunction (odds ratio: 1.17, 95% confidence interval: 1.018-1.360). Meanwhile, coronary artery disease mediated the effects of fat on erectile dysfunction, and the proportion of coronary artery disease-mediated cases ranged from 10% to 22%.

CONCLUSION

There is a potential causal relationship between obesity-related anthropometric indicators/body composition and erectile dysfunction. Higher waist circumference, leg fat percentage, and arm fat mass may increase the risk of erectile dysfunction, and coronary artery disease partly mediates this overall effect. Understanding the causal relationship between obesity and erectile dysfunction and the mediating role of coronary artery disease may provide more information for erectile dysfunction intervention and prevention strategies.

Prevalence of and risk factors for erectile dysfunction in young nondiabetic obese men: results from a regional study

Erectile dysfunction (ED), a condition closely related to cardiovascular morbidity and mortality, is frequently associated with obesity. In this study, we aimed to determine the prevalence of ED and evaluate the associated risk factors in a cohort of 254 young (18-49 years) nondiabetic obese (body mass index [BMI] ≥ 30 kg m^-2) men from primary care. Erectile function (International Index of Erectile Function [IIEF-5] questionnaire), quality of life (Aging Males' Symptoms [AMS scale]), and body composition analysis (Tanita MC-180MA) were determined. Total testosterone was determined using high-performance liquid chromatography-mass spectrometry. Multivariate logistic regression analysis was used to study the factors associated with ED. ED prevalence was 42.1%. Subjects with ED presented higher BMI, waist circumference, number of components of the metabolic syndrome, AMS score, insulin resistance, and a more unfavorable body composition than those without ED. Multivariate logistic regression analysis showed that a pathological AMS score (odds ratio [OR]: 4.238, P < 0.001), degree of obesity (BMI ≥ 40 kg m^-2, OR: 2.602, P = 0.005, compared with BMI 30-34.9 kg m^-2), high-density lipoprotein (HDL)-cholesterol levels (OR: 0.956, P = 0.004), and age (OR: 1.047, P = 0.016) were factors independently associated with ED. In conclusion, we demonstrate that, in a primary care-based cohort of nondiabetic young obese men, ED affected >40% of subjects. A pathological AMS score, the degree of obesity, and age were positively associated with ED, while elevated HDL-cholesterol levels were inversely associated with the odds of presenting ED. Further prospective studies are needed to evaluate the long-term consequences of ED in this population.

Associations between body mass index, waist circumference and erectile dysfunction: a systematic review and META-analysis

Growing evidence reports that obesity might play a role in erectile dysfunction (ED), but limited knowledge is available. We conducted a meta-analysis to estimate the prevalence of ED in overweight men and men with obesity. We performed a systematic review up to 01/04/2019 to investigate the associations between obesity and ED. Applying a random-effect model, we calculated the prevalence of ED, the odds ratio (OR) for the presence of ED by Body Mass Index (BMI) categories and the mean differences between ED and controls in BMI and Waist Circumference (WC). Among 3409 studies, we included 45 articles with 42,489 men (mean age = 55 years). Taking normal weight men as reference, the prevalence of ED was significantly higher in overweight (OR = 1.31; 95%CI: 1.13-1.51; I² = 72%) and in men with obesity (OR = 1.60; 95%CI: 1.29-1.98; I² = 79%). Adjusting our analyses for potential confounders, the results were confirmed in men with obesity (OR = 1.46; 95%CI: 1.24-1.72; I² = 72%). ED was associated with significant higher values of BMI (MD = 0.769; 95%CI: 0.565-0.973 Kg/m²; I² = 78%) and WC (MD = 5.251 cm; 95%CI: 1.295-9.208; I² = 96%). Considering the high prevalence of ED among men with obesity, clinicians should screen for this clinical condition in this population. Findings from the present study suggest that reducing adiposity is a crucial approach in patients with ED who are affected by obesity.

Does underestimated penile size impact erectile function in healthy men?

The aim of this study is to assess the impact of objective (stretched) and subjective penile size in the erectile function in a urological check-up program on a cross-sectional study including 689 men aged 35-70 years. IIEF-5 questionnaire, physical examination (penile length, prostate volume, blood pressure, body mass index-BMI), metabolic syndrome (MS), comorbidities, habits (sexual intercourse frequency, physical activity, alcohol, and tobacco use), level of education, serum glucose, total testosterone, estradiol, PSA, lipid profile, and self-perceptions (ejaculation time and subjective penile size) were examined in multivariate models using logistic and linear regressions. Penile objective mean length was 13.08 cm ± 2.32 and 67 (9.72%) patients referred small penis self-perception. Seventy-six (11.03%) participants had severe erectile dysfunction (ED), 75 (10.88%) had mild to moderate and moderate ED, 112 (16.25%) had mild ED and 426 (61.83%) had no ED. Risk factors for ED that held statistical significance were self-perceived small penis (OR = 2.23, 95% CI 1.35-3.69, p = .0017), sexual intercourse frequency (per week) (OR = 0.45, 95% CI 0.38-0.52, p < .0001), satisfactory ejaculation time (no vs. yes, OR = 2.06, 95% CI 1.46-2.92, p < .0001), comorbidity (yes vs. no, OR = 2.01, 95% CI 1.46-2.76, p < .0001), age >65 years (OR = 2.93, 95% CI 1.53-5.61, p < .0001), tobacco use (yes vs. no, OR = 1.41, 95% CI 1.02-1.96, p < .0375), regular physical activity (no vs. yes, OR = 1.59, 95% CI 1.13-2.23, p < .0083), serum total testosterone < 200 ng/dl (OR = 3.48, 95% CI 1.69-7.16, p = 0.0009), serum glucose > 100 mg/dl (OR = 1.69, 95% CI 1.18-2.43, p = 0.0044) and systolic blood pressure > 130 mmHg (OR = 1.60, 95% CI 1.16-2.19, p = 0.0037). Results suggest that in addition to previously reported risk factors, patient's subjective impressions of penile size negatively impacts sexual life in about 10% of men considered healthy, while objective penile length does not play significant role in erectile function.

Association of Sleep Disordered Breathing with Erectile Dysfunction in Community Dwelling Older Men

PURPOSE

We investigated the association between sleep disordered breathing and erectile dysfunction in older men.

MATERIALS AND METHODS

We performed a cross-sectional analysis of community dwelling men age 67 years or older enrolled in the Osteoporotic Fractures in Men Sleep Study. Participants underwent overnight polysomnography (2003 to 2005) and completed sexual health questionnaires (2005 to 2006). We defined sleep disordered breathing using the apnea-hypopnea index or nocturnal hypoxemia. Erectile dysfunction was defined using the MMAS (Massachusetts Male Aging Study) scale and, in sexually active men, the International Index of Erectile Function. We used logistic regression to examine the association between sleep disordered breathing and erectile dysfunction.

RESULTS

Mean participant age was 76±5 years. Of the 2,676 men completing the MMAS, 70% had moderate to complete erectile dysfunction. Among 1,099 sexually active men completing the IIEF-5 (5-item International Index of Erectile Function), 26% had moderate to severe erectile dysfunction. A higher apnea-hypopnea index was associated with greater odds of MMAS defined moderate to complete erectile dysfunction after adjusting for age and study site (OR 1.39, 95% CI 1.00-1.92 for severe sleep disordered breathing vs none, p trend=0.008), but not after further adjustment for body mass index, socioeconomic status and comorbidities (OR 1.05, 95% CI 0.75-1.49, p trend=0.452). Greater nocturnal hypoxemia was associated with increased odds of MMAS defined moderate to complete erectile dysfunction (unadjusted OR 1.36, 95% Cl 1.04-1.80 vs none) but this was attenuated after adjustment for age and study site (OR 1.24, 95% CI 0.92-1.66). Sleep disordered breathing was not associated with erectile dysfunction by 5-item International Index of Erectile Function.

CONCLUSIONS

In this cross-sectional analysis in older men sleep disordered breathing was associated with higher odds of erectile dysfunction in unadjusted analyses that was largely explained by higher body mass index and increased comorbidity among men with sleep disordered breathing. Prospective studies accounting for obesity and multimorbidity would further clarify the association of sleep disordered breathing and erectile dysfunction.