UNRAVELLING A MULTICOMPONENT PROGRAM ON CONCERNS ABOUT FALLS AND ENHANCING ACTIVITY IN OLD AGE
Bibliographic record
Abstract
In older populations both fallers and non-fallers report fear of falling and activity avoidance. Previous studies have shown that fear to fall can lead to activity avoidance, and has a negative impact on balance, gait, mobility, social activity, mental health and independence. Worldwide research on fear of falling has taken a flight in the past years and even populations challenging to enroll are currently being studied. This warrants connecting international research findings in search for sustainable prevention strategies to tackle fear of falling. During this symposium new, international findings from four innovative research studies will be presented. The presenters from the US, Sweden, Germany and The Netherlands will address respectively: 1) awareness, beliefs, and actions regarding falls and fear of falling in community-living older adults, 2) fall-related activity avoidance in people aging with Parkinson's disease and the relationship with disease severity, fear of falling and falls, 3) life space in vulnerable nursing home residents and associations with motor, cognitive and psychological outcomes, including concerns about falling, and 4) a multicomponent program on concerns about falls and the identification of the least and most promising components. Dr. Desphande, our discussant from Canada / US, will reflect on the presented outcomes. The audience will be invited to interact with the presenters and discussant during the symposium in order to share evidence and opinions, and to take meaningful steps in research and practice related to reducing fear of falling in older populations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".