Determinants of Sexual Functionality Among Men Who Utilize Sex Enhancing Drugs
Bibliographic record
Abstract
This paper is based on the findings of a study carried out on the determinants of sexual functionality among men who utilize sex enhancing drugs (SEDs). The study was submitted as a thesis in partial fulfillment for the award of a degree of Master of Public Health Maseno University in the year 2019. The research design was cross sectional. Data for this study was collected using socio-demographic and International Index for Erectile Function (IIEF) questionnaires from a sample of 67 men above the age of 18 who were sampled purposively. The results from descriptive analysis indicated that 55% of the study participants are aged between 30 and 49 years, 64% are educated to secondary school and above, 68% have an occupation, 71% are non-smokers, 40% ride a bicycle, 91% are physically active and 30% have co-morbidity. On sexual functionality, 95% have some level of erectile dysfunction, at 85% a similar number have varying levels of orgasmic dysfunction and sexual desire. 98% have some level of intercourse dysfunction. The study demonstrate that the determinants of sexual functionality include age, marital status, education, alcohol consumption, bicycle riding, physical activity and co-morbidity. The study identifies socio-demographic factors, lifestyle and co-morbidity as risk factors to sexual functionality. It recommends that sexual functionality be given deserving public health attention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".