Sexual health service use among university undergraduate students in Nova Scotia
Bibliographic record
Abstract
University students are a high-risk population for acquiring sexually transmitted infections (STIs). However, the rates of sexual health service utilization among this population remain low. In this study, we sought to describe the rates and predictors of sexual health service use among undergraduate students at two Nova Scotia universities. An online survey of eight Canadian Maritime universities was conducted to collect information on undergraduate students’ sexual health behaviours ( n = 10,631). We conducted a secondary analysis on a subset of the data collected from sexually active undergraduate students at two Nova Scotia universities ( n = 3,709). The majority of sexually active female students (73%) and 20% of male students accessed sexual health services at least once in their lifetime. Fewer sexually active students (41% females; 25% males) have ever had an STI test. Twenty-two percent of female students and 8% of male students had ever accessed sexual health services at their university health centre. Non-heterosexual students were less likely to access sexual health services on campus than heterosexual students. Among female respondents, those who reported a greater sense of social support were more likely to access sexual health services on campus. Our results illustrate the characteristics of university undergraduate students who do and do not access sexual health services on campus. These findings will be used to inform the design of a qualitative study to further explore the perceived barriers and enablers to sexual health service use at university health centres.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".