Abstract
Background
Erectile dysfunction (ED) is one of the earliest chronic complications of diabetes, with a worldwide prevalence ranging from 35% to 90%. This study aimed to assess the current prevalence and related factors of ED in individuals with diabetes.
Methods
An institution-based cross-sectional study was conducted with 269 participants. A validated questionnaire, including the International Index of Erectile Function-5 (IIEF-5), was utilized. Statistical analyses included chi-square tests and logistic regression to calculate the odds ratio (OR) and 95% confidence interval (CI). The strength of the association was determined using odds ratio (OR) with a 95% CI.
Results
The mean age of respondents was 54.45 ± 13.19 years, and the mean duration of diabetes was 12.89 ± 8.98 years. Among the 269 respondents, 243 (90.3%) experienced varying degrees of ED. Statistically significant positive associations were identified for patients with a longer duration of diabetes (adjusted OR [AOR]: 19.10CI: 2.35-155.31), microvascular complications (AOR: 6.75,CI:1.55-29.17), insulin therapy (AOR: 4.76,CI: 1.34-17.07), comorbidities (AOR: 8.77,CI: 3.06-25.17), and medications other than those for diabetes (AOR: 4.62,CI: 1.16-18.45). Notably, 82.2% had never discussed ED with their physicians.
Conclusion
The prevalence of ED among diabetic patients is alarmingly high. This study identified significant positive associations between ED and factors such as diabetes duration, microvascular complications, insulin therapy (with or without oral agents), comorbid conditions, and the use of non-diabetes medications. Therefore, screening, treatment, and addressing key determinants of erectile dysfunction should be integrated into diabetes care.
Keywords: Ethiopia, Erectile Dysfunction, Diabetes, Prevalence, Determinants
Introduction
The number of individuals with diabetes increased from 108 million in 1980 to 422 million in 2014, with projections estimating 629 million by 2045. Sexual function is an important indicator of health and quality of life; thus, sexual dysfunction is closely linked to poor social interactions, psychological well-being, and partner relationships. The psychological impact extends beyond patients with ED, affecting their partners, who may feel guilt, inadequacy, or distance in their relationships.
While epidemiological studies show variable results, most indicate that the prevalence of erectile dysfunction is significantly higher among men with diabetes compared to the general population. Furthermore, men with diabetes may experience ED 10 to 15 years earlier than those without. An estimated 34% to 45% of men with diabetes experience ED globally, with individual studies reporting prevalence rates between 20% and 94.6%. A meta-analysis revealed an overall prevalence of 61.62%, with more recent publications indicating rates as high as 67.29%.
In Ethiopia, published studies are scarce and primarily hospital-based, reporting prevalence rates from 48.7% in Tikur Anbessa Specialized Hospital to 85.5% in Bahir Dar Felege Hiwot Hospital. Factors such as type 2 diabetes, the duration of diabetes, older age, low income, being divorced or widowed, depression, low educational attainment, comorbidities, and physical inactivity are strong determinants of ED among men with diabetes. Complications like neurological, cardiovascular, and kidney issues are also significantly associated with ED.
Erectile dysfunction is often a private matter, with many men reluctant to discuss it with healthcare providers. Research indicates that few Ethiopian men address this issue with their doctors, with many unaware that ED is a complication of diabetes or do not view it as treatable. Despite the impact of ED on quality of life and the rising prevalence of diabetes, recent data on the prevalence and determinants among patients attending the largest endocrinology follow-up clinic in Ethiopia is lacking.
Methods
Study setting and period: This study was conducted at Tikur Anbessa Specialized Hospital, College of Health Sciences, in Addis Ababa, Central Ethiopia. As the largest public tertiary referral and teaching hospital in the country, it sees an average of 1,022 diabetes cases each month. The study took place from May 1 to the end of July 2021, with data collected by a trained nurse at the Endocrine Clinic.
Study design and sampling: An institutional-based cross-sectional study was performed. Using the single population proportion formula and data from previous studies, the sample size was calculated to be 269. Systematic random sampling was employed to select diabetic men attending the TASH endocrine clinic. A 1998 study indicated that approximately 48.7% of diabetic men at TASH were affected by ED. According to the Department of Internal Medicine's monthly report, about 1,022 diabetic patients visit the clinic, with 45% being men (approximately 460). Based on this, it was estimated that around 224 diabetic men with ED would visit the clinic monthly. The sample size was calculated using a single population proportion formula with a 5% margin of error and a 95% confidence level.
In total, 269 diabetic men attending the TASH endocrine clinic during the study period were included. It was estimated that 672 diabetic men with ED would visit the clinic over three months, and every third patient on the nurses' register was randomly selected for interview.
Study participants and materials: Men aged 18 years and older with diabetes mellitus (DM) who visited the Tikur Anbessa Specialized Hospital (TASH) endocrine clinic during the study period and provided voluntary consent were included in the study. A total of 269 men with diabetes were interviewed over three months.
Data collection procedure
Interview: Trained data collectors administered a structured questionnaire to each eligible participant and measured their height and weight. A validated questionnaire based on the 5-item version of the International Index of Erectile Function (IIEF-5), previously used in studies in Ethiopia, served as the primary measurement tool. All questionnaires were anonymous, and participants were interviewed privately, allowing them to self-administer the IIEF-5 section.
Electronic medical record retrieval: The I-Care number of the study participants was used to access their electronic medical records. This provided data on laboratory profiles, comorbidities, and medications, which were documented in the structured questionnaire.
Study variables
The primary outcome variable was erectile dysfunction. The study aimed to assess the determinants of erectile dysfunction among diabetic patients. Independent variables were categorized into three groups:
Sociodemographic: age, sex, marital status, educational status, occupational status, monthly income
Lifestyle habits: history of alcohol use, regular physical exercise, history of smoking
Clinical variables: type of DM, duration of DM, HbA1c levels, diabetes-related microvascular complications, medications for diabetes, hypertension, chronic kidney disease (other than diabetic kidney disease), ischemic heart disease, peripheral artery disease, stroke, psychiatric conditions, and medications other than those for diabetes.
Data quality: The questionnaire was translated into Amharic. The principal investigator supervised the data collectors and reviewed completed questionnaires daily for accuracy and completeness.
Statistical analysis: Raw data were collected, entered, stored, and analyzed using SPSS version 25. The chi-square test assessed the significance of associations between categorical variables, while binary logistic regression evaluated the strength of those associations. Adjusted odds ratios with a 95% confidence interval were calculated, and p-values below 0.05 were considered statistically significant.
Results
Sociodemographic, lifestyle, and clinical characteristics: All 269 participants who visited the endocrine clinic at Tikur Anbesa Specialized Hospital during the study period were interviewed, resulting in a response rate of 100%. Table 1 shows the sociodemographic characteristics and lifestyle habits of the study participants. The age of participants ranged from 20 to 77 years, with a mean age of 54.4 ± 13.2 years. The majority (46.5%) were aged 41-60 years, while only 17.8% were under 41 years old. Approximately 78.8% of the participants were married, and nearly half (43.5%) had attained a college education or higher. Government employees comprised 26.8% of respondents, while nearly a quarter (24.9%) were retired. The remaining participants included merchants (23.4%), farmers (7.4%), and others (17.5%).
Table 1.
Socio-demographic characteristics & lifestyle habits of men with diabetes attending TASH endocrine clinic from May 1 2021 to the end of July 2021, Addis Ababa, Ethiopia (N=269)
| Variable | Frequency | Percent | |
| Age in years | 20-40 | 48 | 17.8 |
| 41-60 | 125 | 46.5 | |
| >60 | 96 | 35.7 | |
| Marital status | Unmarried | 38 | 14.1 |
| Married | 212 | 78.8 | |
| Others* | 19 | 7.1 | |
| Educational level | No formal education | 9 | 3.3 |
| Primary school | 49 | 18.2 | |
| Secondary school | 94 | 34.9 | |
| College & above | 117 | 43.5 | |
| Occupation | Farmer | 20 | 7.4 |
| Merchant | 63 | 23.4 | |
| Government employee | 72 | 26.8 | |
| Retired | 67 | 24.9 | |
| Others** | 47 | 17.5 | |
| Monthly income in ETB | < 1500 | 80 | 29.7 |
| 1500 - 5000 | 126 | 46.8 | |
| >5000 | 63 | 23.4 | |
| Alcohol history | Yes | 89 | 33.1 |
| No | 180 | 66.9 | |
| Regular exercise | Yes | 219 | 81.4 |
| No | 50 | 18.6 | |
| Smoking history | Yes | 6 | 2.2 |
| No | 263 | 97.8 | |
| Body mass index | ≤24.9 | 138 | 51.3 |
| >24.9 | 131 | 48.7 |
Others: divorced & widowed
others: daily laborer, student, NGO
Most respondents were non-smokers (97.8%) and non-drinkers (66.9%). Nearly three-quarters (76.6%) had a monthly income of less than 5,000 ETB. About 81.4% reported engaging in regular exercise of varying intensities, and approximately 51.3% had a BMI of less than 24.9 kg/m2 than three-quarters of participants (77.7%) had type 2 diabetes mellitus (T2DM). Table 2 shows medical characteristics of the study participants. The mean duration since diagnosis was 12.9 ± 9 years, with a range from newly diagnosed to 45 years. A significant proportion of respondents had been diagnosed for 2-10 years (36.1%) or 11-20 years (33.1%). Most participants (43.5%) were on oral hypoglycemic agents only, while 30.5% were on insulin only, and the remaining 26.0% were on both oral agents and insulin.
Table 2.
Medical characteristics of diabetic men having follow up at TASH endocrine clinic from May 1, 2021 to the end of July 2021(N=269)
| Variable | Frequency | Percent | |
| Type of diabetes | T1DM | 60 | 22.3 |
| T2DM | 209 | 77.7 | |
| Diabetes related complications | Yes | 95 | 35.3 |
| No | 174 | 64.7 | |
| Type of diabetes related complication (N=95) | Retinopathy | 22 | 23.2 |
| Nephropathy | 24 | 25.3 | |
| Neuropathy | 33 | 34.7 | |
| >1 complications | 16 | 16.8 | |
| Comorbidity | Yes | 192 | 71.4 |
| No | 77 | 28.6 | |
| Type of comorbidity (N=192) | Hypertension | 62 | 32.0 |
| Cardiac problems | 13 | 6.7 | |
| >1 comorbidity | 87 | 44.8 | |
| Others*** | 32 | 16.5 | |
| Drugs other than for diabetes | Yes | 212 | 78.8 |
| No | 57 | 21.2 | |
| Types of drugs other than for diabetes(N=212) | ASA,statin, ACEI | 141 | 65.9 |
| Beta blockers | 28 | 13.1 | |
| Amitriptyline | 34 | 15.9 | |
| Others**** | 11 | 5.1 |
Others: diuretics, HAART, carbamazepine
More than half of the study participants (53.2%) had their HbA1c levels measured within the six months preceding the interview. Among those with HbA1c data, the mean level was 8.9%, with a standard deviation of ±2.4%. Thirty-five percent of respondents reported having one or more diabetes-related microvascular complications. Among these, the majority had peripheral neuropathy (34.7%), while nephropathy, retinopathy, and multiple complications were found in 25.3%, 23.2%, and 16.8% of participants, respectively.
The majority (71.4%) of the study participants had comorbid conditions, with 44.8% having more than one chronic illness. Hypertension was reported as a comorbidity by 32.0% of participants. In addition to diabetes medications, most participants (78.8%) were taking other medications, with the majority (65.9%) using one or more of the following: aspirin, atorvastatin, and enalapril. Amitriptyline and beta-blockers were also included in the medical therapy of 15.9% and 13.1% of respondents, respectively.
Prevalence of erectile dysfunction shown on table 3: Among the study participants, a significant majority (90.3%) reported experiencing erectile dysfunction of varying severity. Specifically, 44.5% had mild to moderate erectile dysfunction, as indicated by an IIEF-5 score of 12-16 out of 25. Moderate (8-11) and severe (5-7) erectile dysfunction were reported by 23.5% and 20.6% of respondents, respectively.
Table 3.
Erectile dysfunction among diabetic men having follow-up at TASH endocrine clinic from May 1, 2021 to the end of July 2021
| Variable | Frequency(N) | Percent (%) | |
| Erectile dysfunction | Yes | 243 | 90.3 |
| No | 26 | 9.7 | |
| Severity of erectile dysfunction (N=243) | Mild | 27 | 11.1 |
| Mild to moderate | 109 | 44.9 | |
| Moderate | 57 | 23.5 | |
| Severe | 50 | 20.6 | |
| ED discussion with physician | Yes | 48 | 17.8 |
| No | 221 | 82.2 | |
| Treatment tried for ED | Yes | 36 | 13.4 |
| No | 233 | 86.6 | |
| Knew diabetes ED relation | Yes | 179 | 66.5 |
| No | 90 | 33.5 |
Of those experiencing erectile dysfunction, only 17.8% had discussed the issue with their physician, while the remaining 82.2% had never broached the topic. The majority (86.6%) had not sought any treatment for erectile dysfunction. Additionally, nearly 66.5% of respondents acknowledged awareness of a possible relationship between diabetes and erectile dysfunction.
Determinants of erectile dysfunction shown on table 5: After conducting multinomial logistic regression, the study found that the duration of diabetes, diabetes-related microvascular complications, and the presence of comorbid illnesses were significantly associated with erectile dysfunction in men with diabetes mellitus. Men who had diabetes for 13 years or longer were found to have a 19-fold increased likelihood of experiencing erectile dysfunction compared to those with diabetes for less than 13 years (AOR: 19.10, 95% CI: 2.35-155.31, P value: 0.001). The presence of one or more diabetes-related microvascular complications was associated with nearly a 7-fold increase in the risk of developing erectile dysfunction compared to those without such complications (AOR: 6.75, 95% CI: 1.55-29.17, P value: 0.011). Additionally, diabetic men with chronic comorbidities such as hypertension, dyslipidemia, or cardiac conditions were nearly 9 times more likely to experience erectile dysfunction than those without these conditions (AOR: 8.77, 95% CI: 3.06-25.17, P value: <0.001).
Table 5.
Factors associated with erectile dysfunction among diabetic men having follow-up at TASH endocrine clinic from May 1, 2021 to the end of July 2021(N=269)
| Variable | COR (95% CI) | P value | AOR (CI 95%) | P value |
| Above mean age (>54 years) | 2.88(1.17-7.09) | 0.02 | 1.96(0.66-5.85) | 0.23 |
| History of alcohol | 2.219(0.808-6.095) | 0.122 | 2.391(0.661-8.657) | 0.184 |
| Occupation | 2.741(0.796-9.439) | 0.11 | 0.965 (0.15-6.22) | 0.97 |
| Duration of diabetes >13 years | 24.80(3.31-185.90) | 0.002 | 19.10* (2.35-155.31) | 0.01* |
| Diabetes-relatedcomplications | 4.67(1.36-15.99) | 0.014 | 6.731*(1.55-29.17) | 0.011* |
| Insulin ± oralAgents | 3.273(1.369-7.821) | 0.008 | 4.758*(1.327-17.069) | 0.017* |
| Having comorbidity | 5.76(2.44-13.60) | <0.001 | 8.77*(3.06-25.17) | < 0.001* |
| Drugs other than for diabetes | 4.52(1.96-10.42) | <0.001 | 4.62*(1.16-18.45) | 0.03* |
COR: Crude odds ratio
AOR: Adjusted odds ratio
p value <0.05
Discussion
The study revealed an overall prevalence of erectile dysfunction among men with diabetes of 90.3%, which is significantly higher than a similar study conducted in the same institution 24 years ago. It also exceeds the prevalence rates reported in other studies from Bahr Dar (85.5%), Tigray (69.9%), Jimma (60.4%), Mizan Aman (53.3%), and Egypt (79.4%). The prevalence of erectile dysfunction among diabetic patients aligns more closely with a study conducted in Southeast Nigeria, which reported a rate of 94.7%.
The higher prevalence observed in this study compared to previous reports in Ethiopia may be attributed to differences in baseline characteristics of the respondents, particularly clinical factors, as the study was conducted at one of the largest referral hospitals in the country. In our study, the mean age, mean duration of diabetes, and the proportion of participants with microvascular complications and comorbid conditions were greater than in previous studies. Furthermore, participants were encouraged to self-administer the questionnaire, especially for sensitive questions, which may have contributed to a higher reported prevalence of the issue.
Based on the IIEF-5 erectile dysfunction severity scale, 11.1% of participants had mild ED, 44.9% had mild to moderate ED, 23.5% had moderate ED, and 20.6% had severe ED. Compared to a study conducted in Tigray, severe ED was more prevalent in our study (20.6% vs. 5.2%).
This study highlights that the duration of diabetes, the presence of other chronic medical comorbidities, and diabetes-related microvascular complications are strong predictors of erectile dysfunction, consistent with other similar studies. However, unlike those studies, this research did not find statistically significant associations between erectile dysfunction and advanced age, monthly income, or the use of medications other than those for diabetes.
Of the 243 respondents who reported erectile dysfunction, 82.2% had never discussed the issue with their physician during follow-up. This is similar to a previous report (79.1%) from the same institution over two decades ago. This lack of discussion may stem from the difficulty in establishing rapport with patients, as treating physicians are often rotating internal medicine residents. Furthermore, a majority (77.8%) of participants were waiting for their physicians to initiate discussions about erectile dysfunction, expressing concerns about potential side effects of medications like sildenafil and assuming that erectile dysfunction is an untreatable issue. Only 36 (13.4%) respondents with erectile dysfunction had sought treatment for the problem. Most participants were aware of a possible relationship between diabetes and erectile dysfunction.
In conclusion, the prevalence of erectile dysfunction among diabetic patients is high, with strong associations identified with longer diabetes duration, diabetes-related microvascular complications, and other chronic comorbid conditions. Unfortunately, the condition is often not discussed or treated by physicians. The findings of this study underscore the need for greater attention to erectile dysfunction in diabetic patients during routine medical encounters.
The study was conducted in one of the country's largest referral and specialized hospitals, thus it is possible that the respondents had more complicated medical conditions and comorbidities. This might have contributed to the higher prevalence of ED than previous studies done in other parts of the country. In addition, the study was conducted in a single center which may lead to selection bias.
Frontline healthcare providers should be proactive in assessing & managing erectile dysfunction in men with diabetes. Dealing with erectile dysfunction should be one of the pillars of diabetic education by trained health providers. Further studies should be conducted to assess the impact of ED on the relationships and psychosocial status of diabetic men.
Figure 1.

Sampling procedures of diabetic men having to follow up at TASH endocrine clinic May 1, 2021, to end of July 2021
Table 4.
Comparison of the two studied groups with different clinical parameters
| Variable | Respondents with ED | Respondents without ED | P value | |
| Mean age | ≤ mean age | 118 | 19 | 0.017 |
| >mean age | 125 | 7 | ||
| Marital status | Single | 52 | 5 | 0.797 |
| Married | 191 | 21 | ||
| Occupation | Retired | 64 | 3 | 0.097 |
| Non retired | 179 | 23 | ||
| Monthly income (ETB) | <5000 | 192 | 14 | 0.004 |
| ≥5000 | 51 | 12 | ||
| Educational status | < college | 140 | 12 | 0.263 |
| ≥college | 103 | 14 | ||
| History of alcohol | Yes | 84 | 5 | 0.114 |
| No | 159 | 21 | ||
| History of smoking | Yes | 6 | 0 | 0.418 |
| No | 237 | 26 | ||
| Regular exercise | Yes | 199 | 20 | 0.536 |
| No | 44 | 6 | ||
| BMI(Kg/m2) | ≤24.9 | 123 | 15 | 0.493 |
| >24.9 | 120 | 11 | ||
| Type of diabetes | T1DM | 53 | 3 | 0.165 |
| T2DM | 186 | 23 | ||
| Duration of diabetes | One way | 243 | 26 | 0.001 |
| ANOVA | ||||
| Mean duration | ≤ mean duration | 122 | 25 | <0.001 |
| >mean duration | 121 | 1 | ||
| Type of diabetes drug | Oral agents only | 99 | 18 | 0.005 |
| Insulin ± oral agents | 144 | 8 | ||
| Microvascular complications | Yes | 92 | 3 | 0.008 |
| No | 151 | 23 | ||
| Comorbidity | Yes | 183 | 9 | <0.001 |
| No | 60 | 17 | ||
| Drugs other than for diabetes | Yes | 199 | 13 | <0.001 |
| No | 44 | 13 |
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