HIV testing among men in Nigeria: a comparative analysis between young people and adults
Bibliographic record
Abstract
HIV testing among men is critical to ending the HIV epidemic in sub-Saharan Africa. Using the Multiple Indicator Cluster Survey, 2016/2017, we examined the uptake and determinants of HIV testing among sexually active men in Nigeria. A total of 1254 young people (15–24 years) and 7866 adults (25–49 years) were included in the analysis. We conducted binary logistic regression analyses to estimate the odds ratio (OR) and adjusted OR for testing for HIV in the last 12 months preceding the survey. Approximately 18.7% of men had tested for HIV (young people [17%] vs. adult [19%], p=0.125). The overall adjusted model showed that the likelihood of HIV testing was significantly higher among those with at least primary education, currently married, who used condom at last sexual intercourse, who drank alcohol one month preceding the survey, with no discriminatory attitudes towards people living with HIV (PLHIV), exposed to media, in the rich and richest quintiles, and in the North Central Zone. Education, geopolitical zone, and discriminatory attitudes towards PLHIV were the significant factors common to both age groups. Our results suggest that HIV testing among sexually active men in Nigeria is low, and the determinants vary between young people and adults.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".