Disparate trajectories of cognitive aging among American Indian and Alaskan Native people with and without HIV.
Bibliographic record
Abstract
OBJECTIVE: This study describes trajectories of cognitive aging among American Indian/Alaskan Native (AI/AN) adults with and without HIV and the role of immunosenescence longitudinally. METHOD: We characterized trajectories of cognitive aging in a sample of 333 AI/AN and 309 non-Hispanic White (NHW) adults who were followed longitudinally for up to 20 years by the HIV Neurobehavioral Research Program (HNRP) across six U.S. research sites. We used growth curve modeling with autoregressive Lag-1 structures and heterogeneous residual variances to assess the role of ethnoracial identity and HIV grouping upon decline in trajectories of cognitive aging. RESULTS: HIV- AI/AN adults demonstrated earlier and steeper decline in normative trajectories of cognitive aging on tasks of processing speed, timed tasks of attention/working memory, executive function, and psychomotor speed in comparison to HIV- NHW adults. Accentuated trajectories of cognitive aging were evident in both HIV+ and HIV+ immunosuppressed groups in comparison to HIV- peers and were primarily driven by the role of immunosenescence. CONCLUSIONS: AI/AN disparities in trajectories of cognitive aging are evident and are likely explained by the interplay of biopsychosociocultural factors, including immunosenescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".