Age-induced changes in affective prosody comprehension and its relationship with general cognitive ability and social support utilization among older adults
Bibliographic record
Abstract
Aging can impact emotional recognition, affecting older adults' mental health and social function. This study examined how aging affects affective prosody comprehension (APC: understanding emotions through speech) across seven emotions (happiness, surprise, sadness, anger, fear, disgust, and neutrality) and its relationship with cognitive function (via the Montreal Cognitive Assessment) and social support (via the Social Support Rating Scale) in 199 cognitively normal older adults. We found that older adults had lower APC accuracy and more errors, often mistaking negative emotions for neutral or positive ones. APC accuracy was significantly associated with social support, and a partial least squares (PLS) cognitive component fully mediated the relationship between the APC component and social support utilization, explaining 61.7% of the total effect. These results suggest that declines in APC during aging are linked to social support utilization through cognitive function, offering insights for interventions to improve social and cognitive health in older adults.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".