Psychosocial risk factors and cognitive decline in people living with HIV: results from the Malaysian HIV and aging (MHIVA) study
Bibliographic record
Abstract
HIV-associated mortality has improved with the advent of antiretroviral therapy, yet neurocognitive decline persists. We assessed the association between psychosocial risk factors and cognitive function among Malaysian PLWH. Data of virally suppressed PLWH (n = 331) on stable ART, from the Malaysian HIV and Aging study was assessed. Psychosocial factors were assessed using the Lubben Social Network Scale-6 (social isolation) and Depression Anxiety Stress Scale-21 (DASS-21). The Montreal Cognitive Assessment (MoCA) with normative standards for the Malaysian population was used to determine cognitive function. Linear and logistic regression were used to assess the associations between cognition, and psychosocial risk factors. Median age of participants was 43.8 years (IQR 37.7–51.0). Participants were predominantly male (82.8%), with secondary education or higher (85.2%). Participants were on ART for 5.7 years (IQR 3.0–9.7), with a mean MoCA score of 24.6 (±3.7). Social isolation was found in 34.6% of participants, and severe depression, severe stress, and severe anxiety in 10.6%, 15.4%, and 6.0% respectively. After adjusting for demographic, clinical, and HIV parameters, MoCA scores were significantly associated with severe stress (β = −0.11, p = 0.02) and having marginal friendship ties (β = −0.13, p = 0.03). Social isolation and severe stress are associated with neurocognitive impairment in PLWH.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".