Prevalence of sexually transmitted infections based on syndromic approach and associated factors among Iranian women
Bibliographic record
Abstract
Background and purpose: Reproductive and sexual health related problems constitute one third of health problems among women aged 15 to 44 years.Sexually transmitted infections are a significant challenge for human development.We aimed to assess the prevalence of STIs and identify factors associated with among Iranian women.Materials and Methods: Through a cross-sectional study, 399 women aged 10-49 years were recruited.These were women who referred to urban and rural health centers in a city in Iran.Through a behavioral questionnaire, high-risk behaviors of the sample were asked about.Syndromic STIs were also assessed through clinical examination.T-test and multivariable Modified Poisson Regression was used to estimate the Prevalence Risk Ratios in Stata 13.P-values less than 0.05 were considered as statistically significant.Results: About 64.2% of the participants had at least one of the STIs.STI prevalence was significantly higher among women who self-reported not using condoms in their last sexual contact (75% vs. 39.8%),whose spouse/sexual partners had extramarital sex (87.7% vs. 59.6%), whose SSP had a past-year history of illicit substance use (72.9%vs.60.9%), and whose SSP had a history of incarceration (91.5% vs. 59.1%).In multivariable analysis, it was shown that having first sexual intercourse before 20 years of age, history of abortion in the past year, low family income, not using condom in last sexual contact, and the partner's incarceration history were identified as significant predictors.Conclusions: The knowledge produced from the current research can serve as evidence for the promotion of interventions and healthcare services related to sexual and reproductive health for Iranian women and their SSPs.The findings from the current study also support research on improving strategies for STI diagnosis and STI management.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".