Psychosocial function moderates the link between sensory function and cognitive performance in individuals with mild cognitive impairment and Alzheimer's disease
Bibliographic record
Abstract
BACKGROUND: Sensory and psychosocial factors are potentially modifiable risk factors for dementia. Social factors and indicators of mental health are associated with cognitive performance and risk for Alzheimer's disease (AD). Sensory impairment can lead to communication and mobility difficulties, reducing social engagement and possibly accelerating cognitive decline. We aimed to 1) characterize sensory and psychosocial function in groups with (or at risk for) AD and 2) test whether psychosocial factors and group membership moderate the sensory-cognitive relationship. METHOD: =75.1, 41% female). Sensory loss was measured using speech-reception thresholds (hearing) and contrast sensitivity (vision). Psychosocial factors (depression, anxiety, quality of life, social support, social isolation) were assessed via self-reported questionnaires. Cognitive function was evaluated using scores on neuropsychological tests (memory, executive function, verbal fluency, processing speed). Correlation analyses were done to assess sensory, psychosocial, and cognitive function for all groups. For moderated moderation analyses, we examined the three-way interaction of psychosocial factors and diagnostic group on cognitive performance, controlling for age, sex, education, and income. RESULT: Hearing loss was more prevalent in those with MCI (42%) and AD (48%) compared to controls (27%), as was low contrast sensitivity (4% controls, 20% MCI, 37% AD). Compared to controls, individuals with MCI and AD reported worse psychosocial function (e.g., depression, anxiety, lower quality of life) and reduced social engagement. Moderation analyses indicated that poor psychosocial function (e.g., social isolation, depressive or anxiety symptoms) amplified the sensory-cognitive association in individuals with MCI, compared to controls and those with AD. CONCLUSION: Psychosocial function moderates the relationship between sensory loss and cognitive function differently across diagnostic groups. Particularly, individuals with MCI show the strongest relationship between sensory and cognitive function at poor levels of psychosocial function. Our research explored sensory-psychosocial-cognitive interactions in groups with varying degrees of cognitive impairment, laying the groundwork for understanding how sensory loss and psychosocial deficits contribute to cognitive decline.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".