Correlates of a lifetime history of sexually transmitted infections among women who have sex with women in Toronto, Canada: results from a cross-sectional internet-based survey
Bibliographic record
Abstract
OBJECTIVES: Structural drivers of sexually transmitted infections (STI) among women who have sex with women (WSW) have been underexplored. The study objective was to understand sociodemographic, individual, structural, and sexual health factors associated with a lifetime history of STI among WSW. METHODS: A cross-sectional survey was conducted in 2012 to engage a peer-driven recruitment sample of WSW in Toronto, Canada. Data were collected among a convenience sample of 466 WSW using an online structured interview. RESULTS: Approximately one-fifth (n=89, 19.1%) of participants reported an STI diagnosis history. Participants identifying as bisexual were more likely, and lesbians less likely, to report an STI history than those identifying as queer. In multivariate logistic regression analyses adjusted for sociodemographic variables, STI history was associated with intrapersonal (STI knowledge, HIV/STI risk perceptions), interpersonal (male sex partners in past 3 months, number of lifetime sexual partners) and structural (sexual stigma, history of forced sex, belief healthcare provider (HCP) uncomfortable addressing sexual orientation) factors as well as sexual healthcare uptake (ever had STI/HIV test, STI/Pap test in past 2 years). Gender-non-conforming participants were less likely to report an STI history. CONCLUSIONS: This research is among the first to examine intrapersonal, interpersonal and structural factors correlated with an STI history among WSW. Findings highlight the importance of STI prevention strategies for WSW to be tailored to sexual identity, with particular attention to bisexual women's needs. Interventions should connect to sexual healthcare, address sexual stigma and train HCP to better meet the needs of WSW.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".