Socio-Economic and Demographic Determinants of Safe Sex Practices among Young Adults: Insights from Kampala International University, Western Campus
Bibliographic record
Abstract
This study aimed to assess young adults' knowledge and practices that affect safe sex behavior among university students in Uganda, with a particular focus on Kampala International University Western Campus. The study was conducted at the university's Western Campus, involving medical students aged 19-25. The sample size was 249. The study used Raosoft's online sample size calculator and simple random sampling techniques to obtain respondents. Data collection involved self-administered questionnaires consisting of 29 closed-ended questions. The study found a negative relationship between socio-economic and demographic factors and safe sex behaviors among young adults at Kampala International University. However, the relationship between socio-demographic factors and safe sex behaviors was not statistically significant. The findings revealed a positive and significant relationship between knowledge, practice and safe sex behaviors among young adults at Kampala International University Western Campus. Recommendations include providing comprehensive sex education to all young adults at Kampala International University to enable them to learn about sexuality and the risks associated with it. Comprehensive sex education should be holistic, incorporating age-appropriate and culturally appropriate information about reducing the risk of being sexually unsafe. Keywords: Safe sex, young adult, university students, questionnaire, Uganda.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".