Examining social networks, social support, and relationship quality as protective factors for neurocognitive health in individuals who are homeless or precariously housed
Bibliographic record
Abstract
Social connectedness contributes to cognitive reserve (CR) in the context of aging, but its role in predicting neurocognitive functioning in adults who are unstably housed is unknown. This study examined cross-sectional associations between dimensions of social connectedness and domains of neurocognitive functioning in a sample of adults experiencing homelessness or precarious housing. HIV infection, traumatic brain injury (TBI), and psychotic disorder were analyzed as moderating clinical risk factors. Hierarchical multiple regression analyses revealed that available social network size significantly predicted verbal memory performance. HIV moderated the association between relationship conflict and verbal memory, and the association between social network size and cognitive flexibility. Neither social support nor relationship conflict predicted neurocognitive functioning. Neither TBI nor psychotic disorder moderated any associations. The present findings elucidate the role of social connectedness in contributing to CR in this marginalized population and provide support for social-oriented interventions to preserve their neurocognitive health.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".