The impact of depression and post-traumatic stress symptoms on physical health perceptions and functional impairment among sexual minority men living with HIV with histories of trauma
Bibliographic record
Abstract
Mental health symptoms may compromise health-related quality of life (HRQOL), including among men who have sex with men (MSM) living with HIV, who experience high rates of trauma and other stressors. This study sought to examine the relative contributions of post-traumatic stress disorder (PTSD) symptoms, depression symptoms, and biological indices of HIV disease status on HRQOL in this population. Participants were 79 MSM with HIV (49% White; 35% Black; 8% Hispanic/Latinx) with trauma histories (52% met current PTSD diagnostic criteria). HRQOL outcomes were general perceptions of health (0–100 visual analog scale) and functional disability (WHODAS 2.0). Dominance analysis was applied to examine the relative share of variance in these outcomes accounted for by PTSD symptom severity, depression symptom severity, viral suppression status, and CD4 count. Depression symptom severity accounted for 70% and 92% of variance in perceived health, respectively, across models (p’s < 0.05). Both PTSD symptom severity (45%) and depression symptom severity (43%) scores also accounted for significant variance in functional disability (p’s < 0.05). Medical indices of HIV disease progression did not explain significant variance in HRQOL in any model. A trauma-informed approach may aid clinicians in interpreting reports of health and physical functioning in MSM with HIV.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".