Exploring the need for sexually transmitted infection education among university student athletes in Saskatchewan
Bibliographic record
Abstract
Background: Sexually transmitted infections (STIs) are common in young adults in Canada and their prevalence is rising. Assessing sexual health knowledge among young adults is essential for developing effective STI education strategies. However, there is limited research on the sexual health knowledge of Canadian university athletes, who have increased risks of STIs. Objective: To determine perceived and objective levels of knowledge on STIs among university athletes and their preferred methods of knowledge translation regarding sexual health information. Methods: U SPORTS athletes at the University of Saskatchewan and the University of Regina were invited to complete an electronic survey between January-March 2022. Participants completed the Sexual Transmitted Disease Knowledge Questionnaire (STD-KQ) and self-reported their confidence in their answers. Participants were asked about testing beliefs, where they receive their sexual health information and their preferred format for STI information delivery. Results: One hundred participants completed the survey (14% response rate). Participants had a median composite self-reported STI knowledge score of 2.8 out of 5 (interquartile range [IQR]: 2.4-3.6). The median participant scored 12 out of 27 (44%) on the STD-KQ (IQR: 8-17). Sixty-seven percent of participants received sexual health information from a physician. Sixty-one percent of participants believed embarrassment may prevent them from getting tested or screened. The three most popular methods of health information sharing were online modules (34%), in-person lectures/conferences (24%) and self-paced videos (20%). Conclusion: This study highlighted that STI knowledge is limited in university athletes. Comprehensive online educational interventions may be effective at improving knowledge.
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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 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".