Occupational performance issues in older adults with subjective cognitive decline
Bibliographic record
Abstract
To describe and categorize difficulties in daily activities of older adults with subjective cognitive decline (SCD) compared to individuals with mild cognitive impairment (MCI). Deductive quantitative content analysis was used to classify reported issues in the performance of meaningful daily activities, in older adults with SCD (n = 67; age= 70 ± 6.3) or MCI (n = 42; age= 72 ± 6.6). The occupational performance issues were identified using the Canadian Occupational Performance Measure, a semi-structured interview, and categorised using the International Classification of Functioning, Disability and Health (ICF). Both groups identified issues in all nine ICF “Activities and Participation” domains, with no significant group effects on seven of them. The most frequently affected “Activities and Participation” domains in both groups were “Self-care” (e.g. exercise and diet); “Community, social and civic life” (e.g. social-leisure activities); and "General tasks and demands” (e.g. time management). Over 90% of the issues in both groups were described in the context of difficulties in “Mental functions” (e.g. memory and higher-level cognitive functions). Older adults with SCD, although independent, identified a variety of daily activities that they are not performing satisfactorily, remarkably similar in nature to the occupational performance issues described by older adults with MCI.Implications for RehabilitationOlder adults with SCD identified difficulties in performing social and leisure activities, maintaining healthy lifestyle behaviours, and managing multiple daily tasks.The daily challenges described by older adults with SCD are similar in nature to those identified by those with MCI.Older adults with SCD and MCI describe their daily challenges are related not only to memory problems, but also to executive dysfunction.Interventions for older adults with SCD should aim to improve self-identified problems in everyday functioning. Older adults with SCD identified difficulties in performing social and leisure activities, maintaining healthy lifestyle behaviours, and managing multiple daily tasks. The daily challenges described by older adults with SCD are similar in nature to those identified by those with MCI. Older adults with SCD and MCI describe their daily challenges are related not only to memory problems, but also to executive dysfunction. Interventions for older adults with SCD should aim to improve self-identified problems in everyday functioning.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".