Exercise Prescription in the Older Athlete as it Applies to Muscle, Tendon, and Arthroplasty
Bibliographic record
Abstract
OBJECTIVE: To determine the effect of exercise training on muscle strength and tendon function in healthy older adults and in those older athletes who have had total joint replacement (TJR). Recommendations for exercise prescription are addressed in these populations. DATA SOURCES: PubMed was searched for articles published during the past 15 years identifying exercise training effects on muscle and tendon in older adults, including those after TJR. Identified studies were cross-referenced, and experts were consulted for additional articles. DATA SELECTION: Thirteen articles described training effects on muscle and tendon in older adults. None described the effect on the post-TJR older adult. In healthy older adults, 6 studies were randomized controlled trials (RCTs); 7 were quasi-experimental designs. Three of the RCTs and 3 of the quasi-experimental studies were short-term (shorter than 12 weeks); the remaining trials lasted longer than 6 months. Most studies identified exercise prescription components. None of the studies on tendon or in patients after TJR contained prospective details of the training strategies used to make recommendations. In the latter, recommendations were based on consensus opinion. SYNTHESIS: Outcome measures included strength and power change and adverse events. Exercise prescription components included intensity, mode, frequency, duration, and progression. Most studies found positive relationships between exercise training and these outcomes. No reliable evaluation instruments used to measure outcomes were found, and the long-term effect of interventions was not established. CONCLUSION: Exercise prescription recommendations for strength gains in healthy older adults are primarily for changes in muscle. Limited studies in tendon and no prospective studies post-TJR suggest areas for future research. In the latter case, general consensus suggests safety, including mode of sport used for exercise training, is paramount to any exercise prescription.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".