Risk Predictors and Cognitive Outcomes of the Psychosocial Functionings of Older Adults During the COVID-19 Pandemic
Bibliographic record
Abstract
The negative psychological impact of the COVID-19 pandemic has been well researched. However, less is known about what factors predict the psychosocial and associated cognitive functions of older adults during the pandemic. Two research questions were explored: 1) what sociodemographic and COVID-19 related variables predict psychosocial functions of older adults in light of the pandemic? 2) Does psychosocial functioning predict cognitive performance on inhibition and processing speed in older adults, and is this relationship moderated by coping strategies? An online study was conducted with North American older adults, and hierarchical multiple regression models were employed to understand the relationship between the variables. The results identified health status, martial status, age, and factors associated with socioeconomic status as significant predictors for psychosocial functioning. Increased psychological distress significantly predicted decreased accuracy on no-go trials, but this was not moderated by coping strategies, and age-related decline in all cognitive outcome variables was found.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".