CONNECTING THE DOTS: SUPPORTING OLDER ADULTS LIVING WITH HIV-ASSOCIATED NEUROCOGNITIVE DISORDERS
Bibliographic record
Abstract
Abstract Although people living with HIV are living longer than ever before, significant HIV-related physical and mental health disparities remain among older adults living with HIV (OALWH) due to issues related to advanced aging. HIV-associated neurocognitive disorders (HAND) are becoming increasingly common and have the potential to negatively impact the cognitive, motor, and psychological well-being of OALWH. However, more research on both predictors of HAND and interventions to support cognitively impaired OALWH is needed. This symposium offers insights along the spectrum of intervention development. Two presentations will focus on best identifying predictors of HAND among groups most at-risk up while the other three discuss tailoring and evaluating interventions to alleviate HAND-related symptoms within diverse samples of OALWH from across the country. The first presentation centers on how cerebrospinal fluid markers of Alzheimer’s-related pathology can disentangle diagnosing HAND and amnestic mild cognitive impairment among OALWH in Southern California while the second highlights the role of grip strength in predicting frailty and cognitive impairment among OALWH living in South Florida. The third presentation assesses the feasibility, acceptability, and preliminary intervention effects of a physical activity intervention on cognition adapted for Latino OALWH in South Florida while the fourth examines qualitative feedback from several focus groups on adapting cognitive remediation group therapy as a hybrid group intervention for OALWH with cognitive concerns living in two Canadian provinces. Finally, the last presentation reviews findings of a 2-year randomized clinical trial examining speed of processing training on everyday functioning among OALWH in the U.S. Deep South.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".