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Journal ArticleDOI

The countermovement jump to monitor neuromuscular status: A meta-analysis.

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TLDR
Average CMJ height was more sensitive than highestCMJ height in detecting CMJ fatigue and supercompensation and other CMJ variables such as peak power, mean power, peak velocity, peak force, mean impulse, and power were sensitive in tracking the superCompensation effects of training.
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This article is published in Journal of Science and Medicine in Sport.The article was published on 2017-04-01. It has received 272 citations till now. The article focuses on the topics: Supercompensation.

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Citations
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The Difference Between Countermovement and Squat Jump Performances: A Review of Underlying Mechanisms With Practical Applications

TL;DR: It is concluded that the difference in performance may primarily be related to the greater uptake of muscle slack and the buildup of stimulation during the countermovement in a CMJ, and training protocols might concentrate on attaining a smaller difference between the jumps.
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Monitoring and Managing Fatigue in Basketball.

TL;DR: To effectively optimize and maintain peak training and playing performance throughout a basketball season, potential workload and fatigue monitoring strategies need to be discussed.
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Determination of Vertical Jump as a Measure of Neuromuscular Readiness and Fatigue.

TL;DR: The major finding was that VJ height decrement at pre-workout 2 was correlated with BS volume decrement between workouts, which is important for coaches to proactively understand the current fatigue levels of their athletes and their readiness to resistance training.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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Meta-Analysis in Clinical Trials*

TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
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Estimating the mean and variance from the median, range, and the size of a sample.

TL;DR: Two simple formulas are found that estimate the mean using the values of the median, low and high end of the range, and n (the sample size) and these hope to help meta-analysts use clinical trials in their analysis even when not all of the information is available and/or reported.
Journal ArticleDOI

Measures of reliability in sports medicine and science.

TL;DR: A wider understanding of reliability and adoption of the typical error as the standard measure of reliability would improve the assessment of tests and equipment in the authors' disciplines.
Related Papers (5)
Trending Questions (1)
What are the most important variables in counter movement jump?

The most important variables in countermovement jump are average jump height, peak power, mean power, peak velocity, peak force, mean impulse, and calculated power.