Trial reportEuropean journal of applied physiology2011
Optimum loading for maximizing muscle power output: the effect of training history.
Trial report in European journal of applied physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Effects of countermovement depth on kinematic and kinetic patterns of maximum vertical jumps.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2015Trial
- Power output in vertical jumps: does optimum loading depend on activity profiles?European journal of applied physiology · 2013Trial
- Assessment of the two-point method applied in field conditions for routine testing of muscle mechanical capacities in a leg cycle ergometer.European journal of applied physiology · 2018Article
- Force-velocity relationship of leg extensors obtained from loaded and unloaded vertical jumps.European journal of applied physiology · 2014Article
- Body mass maximizes power output in human jumping: a strength-independent optimum loading behavior.European journal of applied physiology · 2013Review
- Evaluation of novel tests of neuromuscular function based on brief muscle actions.Journal of strength and conditioning research · 2013Article
- Changes in strength, endurance, and fatigue during a resistance-training program for the triceps brachii muscle.Journal of athletic trainingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Although the effect of external load on the mechanical output of individual muscle has been well documented, the literature still provides conflicting evidence regarding whether the optimum loading (L(opt)) for exerting the maximum muscle power output (MPO) could be different for individuals with different levels of strength and power. The aim of this study was to explore the effect of training history on L(opt) that maximizes MPO during the 6-s maximal cycling sprint test. Forty healthy young males (strength-and speed-trained athletes, and physically active and sedentary non-athletes) were tested on maximum strength, and on peak MPO when loaded 5-12% of body weight (BW). As expected, the strength trained and sedentary participants, respectively, revealed the highest and lowest strengths and MPO (p < 0.001). However, the main finding was a significant across-group difference in L(opt) (p < 0.001) revealing the values 9.7% (for strength trained), 9.2% (speed trained), 8.7% (active), and 8.0% of BW (sedentary individuals). This suggests that the effects of external loading on maximum MPO in complex functional movements could be training history dependent. In addition to revealing a sensitivity of the 6-s maximal cycling sprint tests (and, perhaps, other maximum cycling tests), the results suggest that the external loading in routine MPO tests should not be solely adjusted to a fixed percentage of subject's BW (as routinely done in standard tests), but also to their training history. The same phenomenon remains to be evaluated in a number of other routine tests of MPO and other maximum performance tasks.
Indexed as
Identifiers
21287196What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.