Condom Use for Sexually Transmitted Infection Prevention Among Hispanic Teenage Mothers: A Community-Based Randomized Trial
Bibliographic record
Abstract
Background: Hispanics experience a higher prevalence of sexually transmitted infections (STIs) than non-Hispanics. Specifically, Hispanic teenagers are more at risk for HIV, have close to four times the rate of primary and secondary syphilis, and close to two times the rate of chlamydia and gonorrhea compared with non-Hispanic white teenagers. Hispanic youth engage in sexual activity at a younger age than non-Hispanic white youth and are less likely to use condoms in these encounters, thereby contributing to increased rates of teenage pregnancy and STIs. Prevention of STIs is needed for unmarried Hispanic teenage mothers. The purpose of this study was to examine whether Project Mothers and Schools (Project MAS), a support program for parenting teenagers, changed condom use to prevent STIs among Hispanic participants. Methods: A longitudinal study was conducted among 84 Hispanic teenage mothers. Generalized estimating equations were used to identify factors associated with participants' reported condom use to prevent STIs. Results: Overall, participants were 3.21 times more likely to report condom use to prevent STIs from baseline to 12-month follow-up (p = 0.030). Those using condoms to prevent pregnancy at 12-month follow-up were significantly more likely to report using a condom to prevent STIs (OR = 3.23, p = 0.017). Conclusions: Participation in Program MAS improved condom use patterns for STI prevention. These services and supports have potential to change unmarried Hispanic teenage mothers' condom use behaviors and decrease STI infection disparities among the teenage Hispanic population.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".