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Means and SD's pretest and post-test for FMS, Y-Balance, Push-ups, and Handgrip.* †

Means and SD's pretest and post-test for FMS, Y-Balance, Push-ups, and Handgrip.* †

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Article
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Buxton, JD, Prins, PJ, Miller, MG, Moreno, A, Welton, GL, Atwell, AD, Talampas, TR, and Elsey, GE. The effects of a novel quadrupedal movement training program on functional movement, range of motion, muscular strength, and endurance. J Strength Cond Res XX(X): 000-000, 2020-Quadrupedal movement training (QMT) is a form of bodyweight training incor...

Citations

... In total, 20 studies were selected in this study, including 15 RCTs [8,[31][32][33][34][35][36][37][38][39][40][41][42][43][44] and 5 non-RCTs [45][46][47][48][49]. All were published between 2016 and 2022 as peer-reviewed articles or dissertations. ...
... Forest plot of the untrained populations' FMS composite scores[8,[31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48]. ...
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The purpose of this meta-analysis was to determine the effects of exercise-based interventions on functional movement capability in untrained populations and provide a reference for future intervention studies in this field. PubMed, Embase, Scopus, Web of Science, EBSCOhost, Cochrane Library, WanFang, and CNKI databases were systematically searched from inception until February 2022, for randomized or non-randomized controlled trials, addressing the effect of physical activity on functional movement capability in untrained populations. Two researchers independently conducted study selection, data extraction, and quality evaluation. Meta-analysis was performed using RveMan 5.3 and Stata 16.0 software. Twenty studies with 1596 participants were included in the meta-analysis. The results of meta-analysis demonstrated that exercise-based interventions were associated with improved asymmetry functional patterns (RR = 0.40; 95% CI [0.31, 0.50]; p < 0.00001), FMS composite score (MD = 3.01; 95% CI [2.44, 3.58]; p < 0.00001), deep squat (MD = 0.57; 95% CI [0.37, 0.77]; p < 0.00001), hurdle step (MD = 0.56; 95% CI [0.38, 0.75]; p < 0.00001), in-line lunge (MD = 0.54; 95% CI [0.43, 0.66]; p < 0.00001), shoulder mobility (MD = 0.37; 95% CI [0.15, 0.60]; p = 0.001), active straight leg raise (MD = 0.42; 95% CI [0.24, 0.60]; p < 0.00001), trunk stability push up (MD = 0.40; 95% CI [0.16, 0.63]; p = 0.001), and rotary stability (MD = 0.45; 95% CI [0.24, 0.67]; p < 0.0001). Exercise-based interventions were effective in improving functional movement capability in untrained populations. However, there is a need for high-quality, sufficiently powered RCTs to provide a more definitive conclusion.
... ere are many martial arts movements, so it is necessary to organically combine dozens of movements arranged in advance, including the ups and downs of movements, the changes of direction, and the high intensity of difficulty, and complete them in accordance with the requirements within the specified time. In the process, there should be a distinct rhythm, the coordination of the hands, eyes, and body method in the external movement, and the unity of spirit, breath, and will in the internal, so as to achieve "power in static and method in motion," and pay attention to the combination of internal and external and the combination of static and static throughout the whole process [3]. e functional action test was first proposed and applied by an American orthopaedic training expert Guy Cook and physical rehabilitation trainer Lee Brown in around 1990. ...
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In order to better reduce sports injury, a method based on functional motion biological image data is proposed. Through performing functional motion screening test on wushu athletes, including 7 items of test, each athlete is given a score according to the test standard. This paper summarizes the mistakes and deficiencies of common movement patterns of athletes and makes different intervention plans to improve the effect of sports injury screening. The results show that, at P>0.001, there was a significant difference, and the experimental group FMS total score (15.02 ± 3.7) was lower than the control group FMS total score (18.51 ± 1.45). The recognition rate of the system is higher than that of the system based on single feature, and the recognition performance is better than that of the standard SVM and KNN recognition methods. It is proved that the design of the system is feasible, reliable, and effective.