Age-related proprioceptive decline is not seen in lifelong skiing and snowboarding participants: Lessons for balanced active healthy ageing
Bibliographic record
Abstract
Objectives: Ankle proprioception is important for effective human movement and thus active healthy aging. Chronic ankle instability (CAI) may be a contributing factor in proprioception decline. Proprioception and aging research indicate that there is age-related decline in proprioception, however, most research has been on activities conducted in flat, even, and unchanging environments. Thus, to support active healthy aging theory and practice across diverse real-world environments this research explores snowsports activities that are conducted in more dynamic environments and that may be participated in across the lifespan. Design: This research used a cohort comparison approach to study whether regular snowsport participation (i.e., skiing and snowboarding) is correlated with i) age-related proprioception decline, and ii) proprioception deficits observed with CAI. Methods: 142 advanced and elite snowsport participants (age-range 12-70 years), were recruited over a two-year period. Participants completed a questionnaire that included: prior snowsport experience, ankle injury history and the Identification of Functional Ankle Instability scale (IdFAI). Lower limb proprioception was tested using the Active Movement Extent Discrimination Assessment (AMEDA) device. Results: There were no significant differences in AMEDA scores between i) age categories; ii) those with or without CAI; nor iii) between females and males. Conclusions: These results show that regular snowsport participation such as skiing and snowboarding, that occur in dynamic and changing environments, may i) protect against age-related proprioception decline, and ii) provide a rehabilitative effect for CAI. Thus, snowsport participation may be beneficial for active healthy aging and fall prevention.
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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 | 0.001 | 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 | 0.001 |
| 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".