Material Hardship and Association With Sexual Risk Behavior Among Adolescent Sexual Minority Males in 3 US Cities—National HIV Behavioral Surveillance—Young Men Who Have Sex With Men, 2015
Bibliographic record
Abstract
INTRODUCTION: Adolescent sexual minority males (ASMMs) are disproportionately affected by HIV relative to other youth within the United States. Social determinants of health have been explored among this population; however, economic determinants, such as material hardship, remain understudied. We examined the relationship between material hardship and sexual behavior among ASMMs aged 13-18 years residing in 3 US cities using 2015 data from CDC's National HIV Behavioral Surveillance among Young Men Who Have Sex with Men. METHODS: Young men ages 13-18 years residing in 3 US cities were recruited through venue-based, respondent-driven, or Facebook sampling. We estimated adjusted prevalence ratios (aPRs) with 95% confidence intervals (CIs) for condomless anal intercourse (CAI) with a male sex partner in the past 12 months and with having 4 or more male sex partners in the past 12 months. RESULTS: Of 547 ASMMs, 27% reported experiencing material hardship in the past 12 months. After adjusting for demographics, household characteristics, and city, ASMMs who experienced material hardship were more likely to report CAI with a male partner in the past 12 months (aPR: 1.55, 95% CI: 1.25 to 1.93) and to have had 4 or more male sex partners in the past 12 months (aPR: 1.44, 95% CI: 1.08 to 1.91). DISCUSSION: More than a quarter of ASMMs experienced material hardship that was associated with increased sexual risk behavior among ASMMs. Incorporating services that address all unmet needs is important to consider for HIV prevention efforts for ASMMs.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".