A Group-Based Trajectory Model for Changes in Pre-Exposure Prophylaxis and Condom Use Among Men Who Have Sex with Men Participating in the ANRS IPERGAY Trial
Bibliographic record
Abstract
Pre-exposure prophylaxis (PrEP) is one of the most important milestones in HIV prevention for high-risk HIV-negative people. The introduction of PrEP into the HIV prevention package has raised the question of possible risk compensation, and in particular, a reduction in condom use. Although open-label extension (OLE) studies have enabled investigators to examine risk compensation in more real-life settings, results to date have been inconclusive regarding PrEP-induced behavioral changes. We aimed to identify behavioral trajectories over time for PrEP and condom use, and to investigate the link between these trajectories. Group-based trajectory modeling using logistic specification was implemented. Data of the 332 individuals participating in the double-blind and OLE phases of ANRS IPERGAY were used. Four distinct group trajectories were identified: 49.7% of the participants had “systematic adherence to PrEP,” 19% had “high adherence to PrEP, 15.3% had “declining adherence to PrEP,” and 16% had “low adherence to PrEP.” Two condom trajectories were identified: 53% (n = 176) of the 332 participants were “low-level users” of condoms, and 47% were “high-level users.” Among the former, 24.4% also belonged to the “low adherence to PrEP” group. This most-at-risk group represented 13% of all the participants. The effectiveness of offering sexual activity-based PrEP as part of the French HIV prevention package in the ANRS IPERGAY clinical trial is demonstrated by the relatively small proportion of participants that offset their low-level condom use with PrEP adherence. The results from this work may help in the future development of tailored prevention programs for high-risk HIV-negative people.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".