Awareness and Uptake of HIV Preexposure Prophylaxis and Postexposure Prophylaxis Among College Students With Sexual Experiences: Institutional-Based Cross-Sectional Study
Bibliographic record
Abstract
Background: Evidence has shown that HIV prevalence among young people, especially college students, has increased disproportionately. Preexposure prophylaxis (PrEP) and postexposure prophylaxis (PEP) are two of the most effective ways to prevent HIV, which are vital for college students with sexual experiences who have sexual risks. Objective: To provide evidence for effective intervention to reduce the risk of HIV infection among young students, this study aimed to analyze the awareness and uptake of HIV PrEP and PEP among college students with sexual experiences. Methods: An institutional-based cross-sectional study design was used to collect data through an electronic questionnaire from college students in 5 colleges located in Zhejiang Province. A total of 21,962 college students were investigated, of which 2605 students with sexual experiences were included in the data analysis with the following information collected: sociodemographic characteristics, awareness and uptake of HIV PrEP and PEP, sexual behaviors, and HIV tests. Binary logistic regression analysis was used to explore the factors on seeking PrEP and PEP. Results: The average age of college students with sexual experiences was 21.25 (SD 2.75) years. Overall, 61.4% (n=1600) of the participants were aware of PrEP, and 53.0% (n=1380) of them were aware of PEP. Moreover, 5.6% (n=146) of them have sought PrEP or/and PEP, and 89.1% (n=2321) have not sought PrEP or PEP. College students who had more than 6 sexual partners, have always had unprotected sex, have subjective perceived risk behavior, and undergo HIV testing were more likely to seek PrEP or/and PEP. The main ways for the participants to learn PrEP and PEP were through school clubs, the internet, and the Centers for Disease Control and Prevention. Moreover, senior students and those who had not undergone an HIV test had a lower likelihood of seeking PrEP and PEP. College students who did not have risky sexual behaviors (odds ratio 0.468, P=.004) and homosexual students (odds ratio 0.318, P=.03) were more likely not to seek PEP. Conclusions: College students with sexual experiences rarely seek PrEP and PEP, with a relatively low awareness of PrEP and PEP. It is very important to increase the knowledge and uptake of PrEP and PEP by educational and behavioral interventions among young students at risk for HIV infection.
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 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) | 0.001 | 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".