Population-level sexual behaviours in adolescent girls before and after introduction of the human papillomavirus vaccine (2003–2013)
Bibliographic record
Abstract
BACKGROUND: The human papillomavirus (HPV) vaccine is delivered widely through school-based immunization programs. Some groups have expressed concern that HPV vaccination programs will result in an increase in sexual risk-taking behaviours among adolescents. We aimed to evaluate population-level changes in sexual behaviours before and after implementation of the school-based HPV vaccination program in British Columbia. METHODS: In 2008, a school-based HPV vaccination program for girls was introduced in British Columbia. Using data from the BC Adolescent Health Survey - a longitudinal provincial survey administered in schools to capture adolescent physical and emotional health indicators, we conducted a linear trend analysis on sexual health behaviours and risk factors in adolescent girls before and after the implementation of vaccination for HPV (2003, 2008 and 2013). RESULTS: We analyzed data for 298 265 girls who self-identified as heterosexual. The proportion of girls reporting ever having sexual intercourse decreased from 21.3% (2003) to 18.3% (2013; adjusted odds ratio [OR] 0.79). Self-report of sexual intercourse before the age of 14 years decreased significantly from 2008 to 2013 (adjusted OR 0.76), as did reported substance use before intercourse (adjusted OR for 2003-2013 0.69). There was no significant change in the number of sexual partners reported (2003-2013). Between 2003 and 2013, girls' reported use of contraception and condoms increased, while pregnancy rates decreased. INTERPRETATION: Since the implementation of school-based HPV vaccination program in BC, sexual risk behaviours reported by adolescent girls either reduced or stayed the same. These findings contribute evidence against any association between HPV vaccination and risky sexual behaviours.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".