The aim is to assess the extent and impact of cardiovascular risk factors in erectile dysfunction.

Cross-sectional study for analytical purpose took place from May 1st till October 31th, 2018.
-	The study was conducted in 5 health population, selected by consensus: footballers, diabetics patients, stroke patients, hypertension patients, old man.
-	Sampling: We used in this study a random sampling. In first, we chose the population selected from each investigator’s residence location; secondly, the football stadium to recruit athletes, thirdly, we chose a nursing old home.
-	Collection of data:
Before starting the data collection, we obtained approval from the committee of each hospital, a nursing old home and stadium management.
Our seven investigators were selected after a test among trainee doctors. Previously, they were trained on the collection technique. To measure erectile dysfunction, we used the International Index of erectile dysfunction- 5 questionnaires (5 questions according to ED in the last 6 months).
    Statistical analysis:
Data processing and analysis after collection: a first data quality check was conducted in the field to ensure the completeness, accuracy and reliability of the data.
A second check of coherence of the answers was carried out to make corrections to some inconstancies observed in order to guarantee validity of the results.
Data were coded for analysis. The analysis was done using SPSS version 22. The descriptive analysis of quantitative data was summarized by mean ± standard deviation for     the Gaussian distribution and the median (interquartile standard deviation) for non- Gaussian distribution data.
Pearson’ s chi- square or Fisher’s exact test was used to compare the proportion. Student-T was used to compare averages for normally distributed data.
Logistic regression was used to investigate the determinants of ED by uni and multivariate analysis with OR calculation and confidence interval. The linear regression test was applied to verify the correlation between the IIEF-5 score and quantitative variables (age, body mass index, waist size).
For all the test used, the value of p<0, 05 was considered as threshold of significance.

The average age of the respondents was 59, 9 ± 19, 2 years (range 18 - 78 years). More than half of these respondents were over 60 years (60%). The evaluation indicates those with morbidity and those without known morbidity, the difference was statistically significant (p <0.001). It is noted that respondents with overweight and morbid risk were more numerous respectively with a rate of 38% and 31.8%. In the medical history of patients, excluding stroke patients who were in equal proportion to those without stroke (p = 0.052); the other parameters were different (p <0.05).
 In the correlation analysis:  the IIEF-5 score was negatively and linearly correlated with age (p <0.001), with a correlation of r = 0.856. The BMI was significantly and negatively associated with the IIEF-5 score (r = 0.0661). The waist circumference was significantly and negatively associated with IIEF-5 score despite this statistical significance, this correlation was moderately strong (r = 0.596). In the multiple linear correlation: The age of the respondents and the BMI had emerged as the major linear and negative determinant of the IIEF-5 score; these variables can directly explain 66% of its variability (R 2 = 0.663).  
In bivariate analysis of the morphological characteristics of the respondents, we did not note a risk of erectile dysfunction with these variables (p> 0.05). The frequency of erectile dysfunction increased regardless of the type of dysfunction recorded, with increasing age.  
In bivariate analysis comparing age group of erectile dysfunctions, the incidence of erectile dysfunction was 67, 3% in the age group of 40-60 years old, 94, 8% in the age group > 60 years. It was 40, 4% in the group age<40 years. The risk of erectile dysfunction was 3- and 6- times higher in the age group> 40 years compared with the young age group p < 40 years (p <0.05).
In other bivariate analysis, the frequency of erectile dysfunction was 87.5% in diabetics compared to 74.9% in non-diabetics (0.025), conferring a risk 2 times higher erectile dysfunction in diabetics than non-diabetics. The frequency of this disorder in hypertensive patients and those with stroke was 92.3% and 86%, respectively, compared with those who did not have hypertension (p <0.001) and stroke (p = 0.002) with risk evaluated in these two groups of 5 and 3 times respectively. On the other hand, taking stimulants gave respondents a 3-fold protection compared to those who did not take stimulants (p = 0.007). The analysis of factors Associated with Erectile Dysfunction, in univariate analysis of logistic regression, age between 40-60 years,> 60 years, diabetes mellitus, hypertension, stroke, and stimulant intake had emerged as determinants of erectile dysfunction in the general population study. After adjustment for all these variables, age> 60 years [OR: 9.87, 95% CI: 6.42-10.48), p <0.001), diabetes mellitus [OR: 2.99, 95% CI: 1.80-4.95), p = 0.013) and stroke [OR: 2.1, 95% CI: 1.36-3.39, p = 0.012] were the independent risk factors associated with erectile dysfunction in the study population.

age, body mass index and waist circumference as well as diabetes mellitus, arterial hypertension and   stroke are related to erectile dysfunction.

Age, body mass index, waist circumference, diabetes mellitus, stroke and high blood pressure are all contributing factors to the risk of erectile dysfunction.
An improvement in the quality of life requires adequate management of all these erectile dysfunction  predictors .