Perceived impact of COVID-19 on sexual health and access to\nsexual health services among university students in Canada
Bibliographic record
Abstract
We examined the perceived impact of the COVID-19 pandemic on sexual health, sexual behaviour, well-being, and access to sexual health services among university students in Canada. Between December 2020 and January 2021, 1504 university students across Canada completed an online survey focused on overall sexual health, well-being, solitary sexual behaviours, partnered sexual interactions, and access to sexual health services. The survey was designed by the Sex Information & Education Council of Canada and administered by the Leger polling company. Reported levels of overall sexual health were high. Cisgender women reported significantly greater scores of COVID-19—related stress compared to cisgender men; LGBQ+ students had higher levels of stress compared to heterosexual participants. Overall, solitary sexual behaviours (i.e., masturbation, porn use, vibrator use) remained unchanged or were perceived to increase compared to the time before the pandemic. Cisgender men reported higher scores (i.e., greater perceived increases) on masturbation and porn use than cisgender women. Frequency of sex with casual partners was perceived as similar or lower than what was usual before the pandemic, and most participants did not engage in sex where the close personal contact put them or their partner at risk for COVID-19. Declines in access were reported for all sexual health care services surveyed, with cisgender women and students of colour more likely to report decreased access to services. Results highlight the need for targeted public health messaging regarding sexual behaviour, investment in sexual health services, and supports tailored to the needs of women, LGBTQ+ individuals, and people of colour.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| 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".