Loading intensity of jumping exercises in post-menopausal women: Implications for osteogenic training
Bibliographic record
Abstract
Post-menopausal women frequently exhibit low bone mineral density, and therefore, evidence-based exercises that induce osteogenic loading and prevent osteoporosis are often essential. The purpose of this study was to investigate the loading intensity of 3 different jumping exercises in post-menopausal women. Fourteen post-menopausal women participated in this study and completed a series of countermovement jumps, drop jumps, and hard landings. A full-body kinematic and kinetic analysis was performed to estimate the load intensity. Peak hip extensor moment and rate of moment change were significantly greater (P < .05; η2 = 0.483-0.693) in the first landing of the drop jump than the countermovement jump and hard landing. Hip stiffness approached significance (P = .067), while peak vertical ground reaction force, vertical ground reaction force loading rate, and vertical ground reaction force index (peak*loading rate) were significantly greater (P < .01; η2 = 0.259-0.864) during the hard landing. The drop jump and hard landing appear to generate the greatest loads at the highest rates and therefore are likely to have the largest osteogenic impact. Thus, future rehabilitation programs aimed at enhancing osteogenesis in post-menopausal women are encouraged to include these easily implemented jumping exercises.
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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".