Measurement instruments for quantifying physical resilience in aging: a scoping review protocol
Bibliographic record
Abstract
BACKGROUND: Physical resilience is the ability to optimize or recover motor function in the face of disease, injury, or aging-related decline. Greater knowledge of how some individuals regain or maintain function despite pathology may help identify protective factors and approaches that promote healthy aging. To date, a scoping review on physical resilience has not been conducted. The aims are to (1) identify measurement instruments for physical resilience, (2) synthesize and map the key concepts of physical resilience, and (3) identify gaps and make recommendations for future research. METHODS: A scoping review of Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Medline Ovid, PsycINFO, and AgeLine databases will take place using the search strategy "resilience" AND (aging OR elderly OR older adult). The initial electronic search will be supplemented by hand searching the reference lists and review articles to identify any missing studies. Two parallel independent assessments of study eligibility will be conducted for the title, abstract, and full-text screens. To meet study inclusion criteria, the term "resilience" must be applied in relation to the physical health of older adults. Any disagreement will be resolved by consensus and a third reviewer consulted to make a decision if consensus is not achieved initially. Physical resilience information to be extracted are measurement instruments that describe the core domains of (1) body function or structure (signs or symptoms, etc.), (2) activity and participation (quality of life, etc.), and (3) societal impact. Tables and/or charts will map the data with distribution of studies by core domains. Finally, the amalgamation of results will be an iterative process whereby reviewers will refine the plan for presenting results after data extraction is completed so that all of the contents of the extraction may be included in the results. DISCUSSION: The information gleaned in this scoping review will be essential to understand how physical resilience is currently measured and identify gaps for further research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".