The Influence Of Height On Maximal Strength Relative To Lean Body Mass Among Strength Athletes.
Bibliographic record
Abstract
Previous studies have brought to attention the relationship between lean muscle mass and maximal strength in classic male powerlifters. PURPOSE: To evaluate the influence of height on maximal strength relative to lean body mass (MaxREL) among male powerlifters and American football players in the squat, the bench press, the deadlift, and the total. METHODS: Eighteen male junior drug-tested classic powerlifters (age: 21.2 ± 1.2 years, height: 174.1 ± 7 cm, body mass: 83.2 ± 12.4 kg, lean body mass: 68.3 ± 9.1 kg, squat: 199.9 ± 32.8 kg, bench press: 126.9 ± 20.3 kg, deadlift: 229.6 ± 33.3 kg, total: 556.4 ± 83 kg) and seventeen NCAA Division II American football players (age: 20.3 ± 1.2 years, height: 185.4 ± 8.1 cm, body mass: 111.8 ± 23 kg, lean body mass: 88.7 ± 13.1 kg, squat: 229.6 ± 29.8 kg, bench press: 148 ± 21 kg, deadlift: 224.9 ± 28.5 kg) were included in this study. Maximal strength in each lift was determined from either a powerlifting meet or testing from the sportsmen supervised strength and conditioning program. Athlete’s anthropometry was tape-measured while their lean body mass was measured with a bio-impedance scale. MaxREL was calculated by dividing maximal strength in each lift by athlete’s lean body mass. Linear regression analyses were computed and considered statistically significant at p < 0.05. RESULTS: The statistical analyses yielded the following correlations and prediction equations: Squat MaxREL = -0.0236*height (cm) + 7.0238 (r = -0.6, SE = 0.3, p = 0.001); Bench press MaxREL = -0.0128*height (cm) + 4.0688 (r = -0.54, SE = 0.19, p = 0.001); Deadlift MaxREL = -0.0426*height (cm) + 10.63 (r = -0.75, SE = 0.36, p = 0.001); Total MaxREL = -0.079*height (cm) + 21.722 (r = -0.75, SE = 0.72, p = 0.001). CONCLUSION: These results show that height has a negative influence on maximal strength relative to lean mass. In other words, the taller an athlete for a same lean body mass, the lower the strength potential. Possible explanations for these results, including body segment proportions are discussed. Future research should continue exploring the influence of anthropometry on maximal strength in homogeneous groups of high-level athletes to allowing the uncovering of body proportion associations and provide evidence to support strength and conditioning specialists.
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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 | 0.000 | 0.002 |
| 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) | 0.002 | 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".