Can personal and environmental factors explain participation of older adults?
Bibliographic record
Abstract
PURPOSE: This study explores the extent to which personal and environmental factors explain participation in daily activities and social roles of older adults with chronic conditions. METHOD: Two hundred older adults with chronic conditions completed the following assessments: Assessment of Life Habits (participation); Interpersonal Support Evaluation List (social support); Activities Specific Balance Confidence Scale (balance confidence); Timed Up and Go Test (mobility capacity); and Centre for Epidemiological Studies Depression Scale (depression symptomatology). RESULTS: Mobility and balance confidence explained 30% of the level of participation in daily activities and 24% of participation in social roles, whereas social support and depression did not contribute to the explanation of participation. When explaining participation in daily activities, sex had a significant contribution to the model. CONCLUSIONS: Participation accomplishment is explained by personal factors related to an elder's physical and mental ability while sex differences had an important role for explaining accomplishment of daily activities. Additional aspects of participation, environmental barriers, and level of disability, are key factors identified for further inquiry.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".