Feasibility of population screening tests to establish a healthy ageing trajectory
Bibliographic record
Abstract
OBJECTIVES: There are no agreed comprehensive tests for age-related changes to physical, emotional, mental and social functioning. Research into declining function focuses on those 75 years and older and little is known about age-related changes in younger people. The aims of this project were (1) to ascertain a comprehensive test battery that could underpin community-based health screening programmes for people aged 40-75 years and pilot both (2) community-based recruitment and (3) the utility, acceptability, response burden and logistics. METHODS: A total of 11 databases were searched using a broad range of relevant terms. An identified comprehensive, recent, high-quality systematic review of screening instruments for detection of early functional decline for community-dwelling older people identified many relevant tools; however, not all body systems were addressed. Therefore, lower hierarchy papers identified in the rapid review were included and expert panel consultation was conducted before the final test battery was agreed. Broad networks were developed in one Australian city to aid pilot recruitment of community-dwellers 40-75 years. Recruitment and testing processes were validated using feasibility testing with 12 volunteers. RESULTS: The test battery captured (1) online self-reports of demographics, health status, sleep quality, distress, diet, physical activity, oral health, frailty and continence; and (2) objective tests of anthropometry; mobility; lung function; dexterity; flexibility, strength and stability; hearing; balance; cognition and memory; foot sensation; and reaction time. Recruitment and testing processes were found to be feasible. CONCLUSION: This screening approach may provide new knowledge on healthy ageing in younger people.
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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 | 0.193 | 0.361 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".