The effects of psychological functioning on substance use and treatment outcomes among people with HIV
Bibliographic record
Abstract
The interrelatedness of mental health status and HIV-related outcomes is well-documented. However, the long-term relationship between psychological distress and health outcomes among persons with HIV, co-diagnosed with substance use disorders (SUD), is understudied. We measured psychological distress among men and women with HIV who use drugs, using a low-burden instrument, and tested its effect, longitudinally, on HIV and substance use-related outcomes. Recently hospitalized, adult men and women co-diagnosed with HIV and SUD were surveyed for psychological distress, using the 18-item Brief Symptom Inventory (BSI-18). We tested the short-term (6 months) and long-term (12 months) effect of psychological distress on HIV-related and substance use-related outcomes. Psychological distress predicted higher engagement with SUD treatment and higher substance use, which decreased rapidly, and significantly, over time. No significant relationship was found between psychological distress and HIV viral load suppression. Using brief and easy to administer measures, early detection of psychological distress among persons with HIV and SUD, could avert negative, long-term health consequences-warranting further investigation of interventions that address mental health challenges faced by this 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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".