The Instrumental Activity of Daily Living Profile in Aging: A Feasibility Study
Bibliographic record
Abstract
BACKGROUND: Dysfunctions in complex activities of daily living (ADLs) are a normal part of the aging process. However, differentiating functional decline associated with healthy aging from the subtle decline experienced by individuals with mild cognitive impairment and early dementia constitutes a challenge. Finding an appropriate tool that can capture these subtle but important functional changes represents a priority. OBJECTIVES: The aims of this study were to evaluate the feasibility of using the Instrumental Activities of Daily Living Profile (IADL Profile) with elderly participants and to describe their level of difficulty encountered in each task. METHODS: The tool was administered to a group of 40 elderly participants living in the community. RESULTS: The IADL Profile was found to be feasible to use in older individuals; the tool also showed sensitivity to the difficulties experienced by this population in everyday functioning. CONCLUSION: The IADL Profile is a promising ecological tool to evaluate independence in aging and may help to identify individuals with MCI. This tool may also contribute to the development of tailored interventions to enhance everyday functioning in the older population.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".