Attitudes towards premarital HIV testing among high-school students in the United Arab Emirates, and evaluation of an educational intervention
Bibliographic record
Abstract
Introduction:The aim of the study was to evaluate acceptance of compulsory premarital HIV testing (PHT) among high-school students, and factors associated with support for various options given a positive result, before/after an educational intervention. Material and methods:A pre-/post-interventional evaluation survey was conducted in 18 randomly selected schools in Al Ain and Abu Dhabi, the United Arab Emirates, before or immediately after a 90-minute intervention by medical students.Descriptive analysis was completed by SPSS, adjusted odds ratios (OR) using multilevel logistic regression with R.Results: One thousand nine hundred and three (99.6%)students participated in the survey (mean age, 17.6 years).Pre-intervention 91% supported compulsory PHT of a prospective spouse and 9% left the decision to parents; post-intervention 95% and 5%; p < 0.001).For a positive test, 36% would openly reveal the prospective spouse's status (32%, post-intervention).Adjusted by logistic regression, preintervention support to report HIV-positive test result shows correlation with male gender (OR, 1.85), high level of HIV/AIDS knowledge (OR, 1.37), negative attitudes towards PLHIV (OR, 1.47), and Emirati citizenship (OR, 1.43).Post-intervention, the values were: 0.87, 1.72, 2.17, 0.84, respectively.Conclusions: High acceptance of compulsory PHT among young Arabs suggests perceived vulnerability to HIV during marriage.Positive results may be socially isolating.Educational interventions of youth can be effective in reducing HIV-related stigma, and facilitate independent decisions about testing.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".