Factors associated with internalized HIV-related stigma among biological mothers living with HIV enrolled in a US cohort study
Bibliographic record
Abstract
Understanding factors associated with internalized HIV-related stigma among mothers living with HIV may improve health outcomes. We examined factors (age, race/ethnicity, education, income, employment, marital status, health limitations, and years since HIV diagnosis) associated with internalized HIV-related stigma among biological mothers of children enrolled in the Surveillance Monitoring for ART Toxicities study of the US-based Pediatric HIV/AIDS Cohort Study. Stigma was measured with the Internalized HIV Stigma Scale (IHSS), completed biennially at their child's 11-17-year visits. Linear regression models were fit with generalized estimating equations to evaluate the association between the factors of interest and internalized HIV-related stigma using all completed IHSS surveys. Among 438 eligible mothers, the mean IHSS score was 43.7 (SD = 19.5). Higher IHSS scores were observed for widowed women compared to married women, with an estimated mean difference of 8.91 (95% CI: 2.25, 15.57) after adjusting for age, education, income, and health limitations. Years since HIV diagnosis was associated with internalized HIV-related stigma. For every year of increase since HIV diagnosis, IHSS scores decreased by 0.54 per year, after adjusting for age (95% CI: -0.92, -0.17). Interventions to reduce internalized HIV-related stigma should target mothers who are widowed and those with a more recent HIV diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 teacher head, 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".