Mental Health and Cognitive Performance Among Older People Living with HIV in Georgia
Bibliographic record
Abstract
Introduction: Highly effective antiretroviral therapy has increased the life expectancy of people living with HIV (PLWH), resulting in an increase in noncommunicable diseases, including cognitive and mental health disorders. Published literature on cognitive performance in older PLWH is scarce in low- and middle-income countries, including Georgia. Our study aimed to assess mental health and cognitive performance and identify associated factors among PLWH aged ≥40 years. Methods: Primary mental health and behavior assessments included the Drug Use Disorder Identification Test, the Alcohol Use Disorder Identification Test, the Beck Depression Inventory (BDI), and the General Anxiety Disorder 7 (GAD-7). Cognitive assessments included the Montreal Cognitive Assessment (MoCA); Trail Making Tests A and B; verbal fluency; Stroop 1, 2, and 3; and Grooved Pegboard. Univariate and multivariable regression analyses were performed to identify factors associated with cognitive performance. Results: Our sample included 125 PLWH (78 men, 47 women). Drug use-related problems or drug dependence was observed in 36% and hazardous or harmful alcohol consumption among 23%. Mild to extreme depressive symptoms were observed among 51% and mild to severe anxiety among 47%. A MoCA score <26 was observed among 89%. Multivariable regression analyses showed higher mean scores on the Stroop Test 3 associated with higher scores on the GAD-7 (β=.40; 95% CI, 0.12-0.68) and BDI (β=.70; 95% CI, 0.17-1.2). No other associations were observed. Conclusion: This study shows high percentages of psychiatric and cognitive morbidities among older PLWH in Georgia. Longitudinal studies should be conducted to evaluate cognitive performance and associated factors among older PLWH in Georgia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".