The Effects of Physical Activity on the Epiphyseal Growth Plates: A Review of the Literature on Normal Physiology and Clinical Implications
Bibliographic record
Abstract
BACKGROUND: Children need physical activity and generally do this through the aspect of play. Active play in the form of organized sports can appear to be a concern for parents. Clinicians should have a general physiological background on the effects of exercise on developing epiphyseal growth plates of bone. The purpose of this review is to present an overview of the effects of physical activity on the developing epiphyseal growth plates of children. METHODS: A National Library of Medicine (Pubmed) search was initiated using the keywords and combinations of keywords "growth plate", "epiphyseal plate", "child", "exercise", and "physical activity." DISCUSSION: Bone is a dynamic tissue with a balance of osteoblast and osteoclast formation. The normal functioning of the epiphyseal growth plate is an important clinical aspect. Much of the physiology of the epiphyseal growth plate in response to exercise includes the important mechanical component. Growth hormone, insulin-like growth factor I, glucocorticoid, thyroid hormone, estrogen, androgen, vitamin D, and leptin are seen as key physiological factors. While there is a need for children to participate in physical activity, clinical consideration needs to be given to how the epiphyseal growth plate functions. CONCLUSIONS: Mechanical loading of the bone is important for epiphyseal plate physiology. Exercise has a healthy function on the normal growth of this important biomechanical feature. Clinically, over-exertion in the form of increased load bearing on the epiphyseal growth plate creates an ideal injury. There is a paucity of research on inactivity on the epiphyseal growth plate resulting in stress deprivation. Further research should take into consideration what lack of exercise and lessened mechanical load bearing has on the function of the epiphyseal growth plate. KEYWORDS: Child; Physical activity; Epiphyseal growth plates; Bone; Exercise; Mechanical loading.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".