Prevalence and Correlates of Erectile Dysfunction among Primary Care Clinic Attendees in Nigeria
Bibliographic record
Abstract
INTRODUCTION: Erectile dysfunction (ED) has become a public health issue in Nigeria because of its increasing magnitude, association with chronic medical conditions and negative impact on sexual life. MATERIALS AND METHODS: Cross-sectional study of 450 male patients aged 18-70 years who presented with non-ED related complaints. Main outcome measurements were prevalence and severity of ED which was assessed with International Index of Erectile Function (IIEF-5) and single-item sexual function questionnaire. Also assessed were socio-demographic characteristics, physical activities, sexual satisfaction and morbidities. RESULTS: The prevalence of ED was 55.1% (mild, moderate and severe were 32.6%, 17.8% and 4.7% respectively). Prevalence of ED was significantly associated with age (p < 0.0001), marital status (p = 0.032), income (p = 0.001), social class (p = 0.004), physical activities (p = 0.006) and BMI (p = 0.012). Prevalence of ED was significantly high among men with diabetes mellitus (72.7%), hypertension (70.7%), peptic ulcer disease (70.4%) and previous prostate surgery (76.2%). Logistic regression showed dissatisfaction with sexual life (OR = 0.689, CI = 1.233-5.866; p = 0.013) and having sexual activities less than desired (OR = 3.331, CI = 1.416-7.839; p = 0.006) to be the most significant factors associated with ED. There was a strong positive correlation between the IIEF-5 and single-item sexual function questionnaire (r = 0.747, p < 0.0001). CONCLUSION: The prevalence of ED is high among males attending a primary care clinic in Nigeria with non-ED related complaints. ED was more prevalent in men with chronic medical illnesses and sedentary lifestyle. Family physicians should inquire about this condition in these men and refer them early for specialist consultation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".