The Relationship Between Physical Intimate Partner Violence and Sexually Transmitted Infection Among Women in India and the United States
Bibliographic record
Abstract
To investigate the association between physical intimate partner violence (IPV) and sexually transmitted infection (STI) in two national samples. Data came from the National Epidemiologic Survey on Alcohol and Related Conditions Wave 2 (n=34,653) and the National Family Health Survey-3 (n=124 385). Ever-married women between the ages of 20 and 49 were asked if they had experienced physical violence by their partner in the past year. Outcomes were presence of doctor confirmed HIV and self-reported STI. Age at first intercourse was examined as a mediator of the relationship between IPV and STI. Logistic regression examined associations between IPV, age at first intercourse and STI. Compared to individuals with no physical IPV, risk for STI was higher for individuals who experienced past year IPV living in the United States and India, however once controlling for age at first intercourse, age, education, household wealth/income and past year sexual violence, the relationship between IPV, and STI was significant in the American sample [(AOR)=1.65, 95% (CI)=1.21-2.26], however not for individuals living in India [(AOR)=1.75, 95% (CI)=0.84-3.65]. Individuals with exposure to physical IPV are at increased odds for STI. Age at first intercourse although a marker of risk, may not be an accurate marker of risky sexual behavior in both samples.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".