Effects of Reduced Achilles Subtendons Relative Displacement on Healthy Elderly Walking: A Simulation Study
Bibliographic record
Abstract
Abstract Walking in healthy elderly people is characterized by lower performance. Since conventional training programs have had limited success in improving gait performance, it is essential to identify underlying causes of walking deficits in healthy elderly adults. Recent studies have qualitatively shown that the decreased relative displacement of Achilles subtendons is likely the primary contributor to lower propulsion in the elderly’s walking by creating a higher dependency on their triceps-surae muscle functions. Due to the invasive nature of experimental investigations, in this study, we developed a computational model and analyzed the effects of reduced Achilles subtendons relative displacement on the total metabolic rate and muscles’ force profiles during normal walking. Our musculoskeletal simulations revealed a 17% increase in the total metabolic rate in elderly adults whose Achilles subtendons were restricted to have no relative displacement. Changing the restriction level resulted in significant changes in the force distribution of the plantar flexor muscles, notably, a 40% reduction in the Medial Gastrocnemius and a 124% increase in the Soleus forces during the propulsion phase of walking. Also, we quantitatively presented the higher dependency of triceps-surae muscle functions regarding the limitation on their corresponding Achilles subtendons’ relative displacement. The results of this study confirm the experimental observations and can be used as initial insight into devising novel rehabilitation training programs with the focus on improving Achilles subtendons relative displacement.
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 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 | 0.000 | 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 | 0.001 | 0.000 |
| 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".