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Journal articles on the topic 'Functional Movement Screening'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ransdell, Lynda B., and Teena Murray. "Functional Movement Screening." Strength and Conditioning Journal 38, no. 2 (2016): 40–48. http://dx.doi.org/10.1519/ssc.0000000000000209.

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O’CONNOR, FRANCIS G., PATRICIA A. DEUSTER, JENNIFER DAVIS, CHRIS G. PAPPAS, and JOSEPH J. KNAPIK. "Functional Movement Screening." Medicine & Science in Sports & Exercise 43, no. 12 (2011): 2224–30. http://dx.doi.org/10.1249/mss.0b013e318223522d.

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3

Li, Qindong. "FUNCTIONAL MOVEMENT SCREENING IN THE PHYSICAL FITNESS TEST IN HIGH SCHOOL ADOLESCENTS." Revista Brasileira de Medicina do Esporte 28, no. 5 (2022): 540–42. http://dx.doi.org/10.1590/1517-8692202228052022_0046.

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ABSTRACT Introduction: Functional Movement Screening is a qualitative triage of human movement based on a classification and scoring system which includes seven tests to evaluate basic movement patterns where muscle limitations or asymmetries are identified. Its scale has 21 points, with 14 being the limit of normality. Adolescence is critical to improving athletic ability, and the validity of applying this screening technique to discover potential injuries is questioned. Objective: To verify the validity of functional movement screening on the early detection and correction of dysfunctional m

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Yarasheva, Dilnoza. "FUNCTIONAL MOVEMENT ANALYSIS IN HANDBALL." MODERN SCIENCE АND RESEARCH 3, no. 4 (2024): 456–61. https://doi.org/10.5281/zenodo.10992359.

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<em>An athlete's participation in their sport will help them achieve better results, and a wide range of activities should be prepared to minimize injuries. Therefore, functional movement analysis in sports should be included in pre-activity screening. A functional movement analysis is whether or not he has the necessary ability to perform essential movements. necessary for identification purposes.</em>

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Pringsheim, Tamara, and Mark Edwards. "Functional movement disorders." Neurology: Clinical Practice 7, no. 2 (2017): 141–47. http://dx.doi.org/10.1212/cpj.0000000000000350.

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AbstractPurpose of review:Functional movement disorders (FMD) are commonly seen in neurologic practice, but are associated with poor outcomes. Recent years have seen a resurgence of interest in this area, with new developments in pathophysiologic understanding and therapeutic management.Recent findings:Individuals with FMD are a psychologically heterogeneous group, with many individuals having no detectable psychopathology on symptom screening measures, and possibly significant etiologically relevant life events only revealed through in-depth interviews. A randomized trial of specialist intens

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Murofushi, Koji, Daisuke Yamaguchi, Hiroki Katagiri, et al. "Validity of the KOJI AWARENESS self-screening test for body movement and comparison with functional movement screening." PLOS ONE 17, no. 12 (2022): e0277167. http://dx.doi.org/10.1371/journal.pone.0277167.

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Objective This study aimed to validate the KOJI AWARENESS™, a self-screening movement test, and compare it with the Functional Movement Screen (FMS). Methods Fifty-seven healthy participants completed the KOJI AWARENESS™ and functional movement screening. Pearson’s correlation coefficients were used to assess the validity of the test. Subsequently, partial correlation analysis was used to determine the associations between age, sex, body mass index, and sports level as control variables and motor function. Results Correlation and partial correlation analyses showed a strong positive correlatio

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Hatchett, Andrew, Charles Allen, Jake St. Hilaire, and Alex LaRochelle. "Functional Movement Screening and Paddle-Sport Performance." Sports 5, no. 2 (2017): 37. http://dx.doi.org/10.3390/sports5020037.

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Jothilingam, Muthukumaran, S. Roobha, R. Revathi, N. Paarthipan, and S. Saravan Kumar. "Effect of battle rope training on functional movements in young adults." Biomedicine 40, no. 4 (2021): 547–50. http://dx.doi.org/10.51248/.v40i4.339.

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Introduction and Aim: The battle rope exercise had obtained highest peak and mean VO2, highest energy expenditure and highest exercise heart rate than other exercises. There is no related evidence for Battle rope exercises by screening functional movement. The aim of the study was to determine the effect of battle rope training on functional movement screening.  Methodology: According to inclusion and exclusion criteria 30 subjects were selected. They were explained about the safety and simplicity of the procedure and by the lottery system they were divided into two groups with 15 subjec

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Ali Raza, Yasmeen Tabassum, and Wu Hao. "Functional Movement Screening: A study on National Level Judo Players of Pakistan." sjesr 4, no. 1 (2021): 295–303. http://dx.doi.org/10.36902/sjesr-vol4-iss1-2021(295-303).

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Background: Functional Movement Screening (FMS) is a tool to screen the musculoskeletal factors of injury or dysfunctionality patterns in sports. The establishment of functional movement screening (FMS) has built a bridge between physiotherapy, rehabilitation, and physical training, to realize the integration of multiple disciplines. This study tends to investigate musculoskeletal risk factors through the FMS of Judo players in Pakistan. Method: A total of 10 national-level athletes were selected who had been national-level competitors in Pakistan. Different movement patterns/drills prescribed

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Lee, Yul-Hyo, and Hyun-Min Choi. "Physical Fitness and Functional Movement Screening Based on Physical Activity Volume in Male College Students." Korean Journal of Security Convergence Management 11, no. 4 (2022): 210–24. http://dx.doi.org/10.24826/kscs.11.4.14.

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Bunn, Priscila dos Santos, and Elirez Bezerra da Silva. "Dynamic Movement Assessment and Functional Movement Screening for injury prediction: a systematic review." Fisioterapia e Pesquisa 25, no. 3 (2018): 352–61. http://dx.doi.org/10.1590/1809-2950/17004225032018.

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ABSTRACT Dynamic Movement AssessmentTM (DMATM) and Functional Movement ScreeningTM (FMSTM) are tools to predict the risk of musculoskeletal injuries in individuals who practice physical activities. This systematic review aimed to evaluate the association of DMATM and FMSTM with the risk of musculoskeletal injuries, in different physical activities, categorizing by analysis. A research without language or time filters was carried out in November 2016 in MEDLINE, Google Scholar, SciELO, SCOPUS, SPORTDiscus, CINAHL and BVS databases using the keywords: “injury prediction”, “injury risk”, “sensiti

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Simenko, Jozef. "The benefits of Functional Movement Screen in judo." Revista de Artes Marciales Asiáticas 14, no. 2s (2019): 18. http://dx.doi.org/10.18002/rama.v14i2s.5988.

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<div><p>With the development of screening methods, simple screening tools could commonly be used to assess movement quality in real-world conditions. One of those methods is the functional movement screen (FMS), that was developed to helps determine the fundamental movement patterns of an individual. FMS test was administered to 9 elite judokas aged 22 ± 4.24 years, height 176.44 ± 7.44 and weight 79.44 ± 15.92 kg. The overall FMS score was 17.56 ± 1.59. No significant asymmetries were noted in the bilateral test. The lowest score was achieved in shoulder mobility 1.89 ± 0.6 which

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Mehmet, Kara, and Kaplan Turgut. "Investigation of the Relationship Between Functional Movement Screen Score and Athletic Performance of the Professional Football Players." Ulusal Kinesyoloji Dergisi 3, no. 2 (2022): 48–55. https://doi.org/10.5281/zenodo.7484701.

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Although a functional movement screen is an effective screening tool for predicting injury (disability), its effect on athletic performance is not fully known. The aim of this study is to investigate the relationship between the functional movement screening result of professional football players and their athletic performance. Thirty professional football players aged 17-30 years participated in the study. The participants' anthropometric variables (height-body weight), body mass index, functional movement screen, athletic performance tests; push-up test (30 and 60 seconds), sit-up test

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Hoffman, Joshua, Michael Krill, Toren Moore, James Borchers, and Timothy Hewett. "Effect of Previous Injury on Functional Movement Screening Outcomes." Medicine & Science in Sports & Exercise 49, no. 5S (2017): 119. http://dx.doi.org/10.1249/01.mss.0000517153.99316.35.

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Bagas Anjasmara and Andi Fadhilah Tenriwulan. "Pemeriksaan Resiko Cedera Pada Anggota UKORDA Unversitas Muhammadiyah Sidoarjo." jurnal ABDIMAS Indonesia 2, no. 4 (2024): 19–24. https://doi.org/10.59841/jurai.v2i4.2003.

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Sports injuries are all forms of abnormalities and damages that occur in the body, both in the structure and function of the body that cause pain, resulting from physical movement and sports activities. This activity aims to determine the risk of sports injuries in athletes of UKM Sports Universitas Muhammadiyah Sidoarjo (UKORDA) by using Functional Movement Screening (FMS). UKORDA athletes as participants performed seven movements from the FMS examination consisting of movements consisting of (1) Deep Squat, (2) Hurdle Step, (3) In-Line Lunge, (4) Shoulder Mobility, (5) Active Straight Leg Ra

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Lin, Xiuchun, Tao Huang, Zhiqiang Ruan, et al. "Automatic Evaluation of Functional Movement Screening Based on Attention Mechanism and Score Distribution Prediction." Mathematics 11, no. 24 (2023): 4936. http://dx.doi.org/10.3390/math11244936.

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Functional movement screening (FMS) is a crucial testing method that evaluates fundamental movement patterns in the human body and identifies functional limitations. However, due to the inherent complexity of human movements, the automated assessment of FMS poses significant challenges. Prior methodologies have struggled to effectively capture and model critical human features in video data. To address this challenge, this paper introduces an automatic assessment approach for FMS by leveraging deep learning techniques. The proposed method harnesses an I3D network to extract spatiotemporal vide

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Dyer, Cameron S., Robin Callister, Colin E. Sanctuary, and Suzanne J. Snodgrass. "Functional Movement Screening and injury risk in elite adolescent rugby league players." International Journal of Sports Science & Coaching 14, no. 4 (2019): 498–506. http://dx.doi.org/10.1177/1747954119853650.

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Research is limited as to whether Functional Movement Screen scores relate to non-contact injury risk in rugby league players. This cohort study investigates whether the Functional Movement Screen score predicts non-contact injuries in elite adolescent rugby league players. Australian adolescent rugby league players ( n = 52; mean age 16.0 ± 1.0 years) from one club participated in this study. Functional Movement Screen scores, height, and mass were collected at the beginning of the preseason. Training, match exposure, and injury incidence data (non-contact match and training injuries with thr

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Lin, Xiuchun, Renguang Chen, Chen Feng, Zhide Chen, Xu Yang, and Hui Cui. "Automatic Evaluation Method for Functional Movement Screening Based on a Dual-Stream Network and Feature Fusion." Mathematics 12, no. 8 (2024): 1162. http://dx.doi.org/10.3390/math12081162.

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Functional Movement Screening (FMS) is a movement pattern quality assessment system used to assess basic movement capabilities such as flexibility, stability, and pliability. Movement impairments and abnormal postures can be identified through peculiar movements and postures of the body. The reliability, validity, and accuracy of functional movement screening are difficult to test due to the subjective nature of the assessment. In this sense, this paper presents an automatic evaluation method for functional movement screening based on a dual-stream network and feature fusion. First, the RAFT a

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Lin, Xiuchun, Yichao Liu, Chen Feng, Zhide Chen, Xu Yang, and Hui Cui. "Automatic Evaluation Method for Functional Movement Screening Based on Multi-Scale Lightweight 3D Convolution and an Encoder–Decoder." Electronics 13, no. 10 (2024): 1813. http://dx.doi.org/10.3390/electronics13101813.

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Functional Movement Screening (FMS) is a test used to evaluate fundamental movement patterns in the human body and identify functional limitations. However, the challenge of carrying out an automated assessment of FMS is that complex human movements are difficult to model accurately and efficiently. To address this challenge, this paper proposes an automatic evaluation method for FMS based on a multi-scale lightweight 3D convolution encoder–decoder (ML3D-ED) architecture. This method adopts a self-built multi-scale lightweight 3D convolution architecture to extract features from videos. The ex

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Prabakar, Dr B. "Enhancing Performance and Preventing Injuries in Cricketers: The Role of Functional Movement Screening." Journal of Advances in Sports and Physical Education 8, no. 01 (2025): 1–5. https://doi.org/10.36348/jaspe.2025.v08i01.001.

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Functional Movement Screening (FMS) has emerged as a vital tool in sports science for identifying movement inefficiencies, preventing injuries, and enhancing athletic performance. In cricket, a sport characterized by its unique combination of asymmetrical movements, repetitive actions, and high physical demands, FMS offers significant potential to optimize player outcomes. This paper investigates the application of FMS in cricket, focusing on its role in detecting biomechanical dysfunctions, designing corrective interventions, and monitoring performance improvements over time. By examining a c

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Armstrong, Ross, Christopher M. Brogden, Debbie Milner, Debbie Norris, and Matt Greig. "Effect of Fatigue on Functional Movement Screening Performance in Dancers." Medical Problems of Performing Artists 33, no. 3 (2018): 213–19. http://dx.doi.org/10.21091/mppa.2018.3032.

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OBJECTIVE: Dance is associated with a high risk of injury, with fatigue identified as a contributing factor. Functional movement screening (FMS) has been used to identify alterations in normal movement which may contribute to injury risk, though this test is not normally performed in a fatigued state. The aim of this study was to determine whether fatigue induced by the dance aerobic fitness test (DAFT) results in changes in FMS scores with implications for performance and injury risk. METHODS: Forty-one university dancers completed the FMS before and immediately after completion of the DAFT.

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Roh, Su Yeon. "A functional movement screening of college students performing Pilates exercise." Journal of Cosmetic Medicine 3, no. 1 (2019): 33–37. http://dx.doi.org/10.25056/jcm.2019.3.1.33.

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Snowden, Shanena. "Functional Movement Screening (FMS) of Dubuque Fighting Saints Hockey Team." Archives of Physical Medicine and Rehabilitation 100, no. 10 (2019): e80. http://dx.doi.org/10.1016/j.apmr.2019.08.231.

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Mendes de Almeida Gomide Leite, M., C. Bolling, and D. Reis. "COMPARISON OF FUNCTIONAL MOVEMENT SCREENING (FMS) SCORE IN FUTSAL PLAYERS." British Journal of Sports Medicine 48, no. 7 (2014): 624.3–625. http://dx.doi.org/10.1136/bjsports-2014-093494.175.

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Linek, Pawel, Paul E. Muckelt, Damian Sikora, Nadine Booysen, and Maria Stokes. "Assessing Movement Quality in Youth Footballers: The Relationship between Hip and Lower Limb Movement Screen and Functional Movement Screen." Applied Sciences 11, no. 19 (2021): 9298. http://dx.doi.org/10.3390/app11199298.

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The Hip and Lower Limb Movement Screen (HLLMS) was developed to detect altered movement patterns and asymmetry specifically related to hip, pelvic, and lower limb movement control, as the other tools, such as the Functional Movement Screen (FMS), lacked focus on the hip and pelvic area. Both screening tools contain symmetrical and asymmetrical motor tasks which are based on observation of different aspects of each task performance. One motor task is in both screening tools. Therefore, they have some common features. The present study aimed to assess the relationship between the HLLMS and FMS p

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Saint-Cyr, Jean A. "Neuropsychology for Movement Disorders Neurosurgery." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 30, S1 (2003): S83—S93. http://dx.doi.org/10.1017/s0317167100003280.

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The neuropsychologist plays a crucial role in three phases of the neurosurgical treatment of movement disorder patients, namely screening, outcome evaluation and research. In screening patients, the differential diagnosis of dementia, impact of depression or other psychiatric conditions, and the influence of disease and medication-induced symptoms on cognitive performance must be determined. Postoperatively, systematic evaluations elucidate the cognitive costs or benefits of the procedure. The neuropsychologist is then able to provide feedback and counselling to the professional staff, patient

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Spilz, Andreas, and Michael Munz. "Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures." Sensors 23, no. 1 (2022): 5. http://dx.doi.org/10.3390/s23010005.

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(1) Background: The success of physiotherapy depends on the regular and correct unsupervised performance of movement exercises. A system that automatically evaluates these exercises could increase effectiveness and reduce risk of injury in home based therapy. Previous approaches in this area rarely rely on deep learning methods and do not yet fully use their potential. (2) Methods: Using a measurement system consisting of 17 inertial measurement units, a dataset of four Functional Movement Screening exercises is recorded. Exercise execution is evaluated by physiotherapists using the Functional

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Pashkevich, S., I. Kriventsova, and K. Galicheva. "Using Movement Test to Evaluate Effectiveness of Health and Fitness Activities of Students in Higher Education Institutions." Teorìâ ta Metodika Fìzičnogo Vihovannâ 18, no. 1 (2018): 12–22. http://dx.doi.org/10.17309/tmfv.2018.1.02.

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The study objective is to evaluate the possibility of using screening methods for determining the effectiveness of health and fitness activities of students in higher education institutions. Materials and methods. The participants in the experiment were 37 first-year students (17 boys and 20 girls) of the School of History of H. S. Skovoroda Kharkiv National Pedagogical University. The experiment lasted during the fall semester. Using the Framingham method for analyzing weekly timing, the study conducted a survey among the students on their level of motor activity and performed a functio

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Rusling, Christopher, Kimberley Edwards, Archan Bhattacharya, et al. "THE FUNCTIONAL MOVEMENT SCREENING TOOL DOES NOT PREDICT INJURY IN FOOTBALL." Progress in Orthopedic Science 1, no. 2 (2015): 41. http://dx.doi.org/10.5455/pos.20150803113054.

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Grigorev, P., and G. Semenova. "FUNCTIONAL MOVEMENT SCREENING AS A MEANS TO REDUCE INJURIES IN FITNESS." Human Sport Medicine 20, no. 1 (2020): 114–22. http://dx.doi.org/10.14529/hsm200114.

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Aim. Nowadays, the issue of increasing the overall effectiveness of workout programs, physical training, and rehabilitation, as well as reducing the risk of injury in active people remains acute. This is due to the fact that the number of people engaged in motor activity is constantly growing every year. The use of functional movement screening is aimed at identifying potential risks of injuries and ways to reduce their number, as well as developing an individual training program that will help to ensure active lifestyle. Materials and methods. During 2018, a study was conducted with people a

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Krill, Michael K., Joshua T. Hoffman, Toren Moore, James R. Borchers, and Timothy E. Hewett. "Effects of Previous Lower Extremity Injury on Functional Movement Screening Results." Medicine & Science in Sports & Exercise 49, no. 5S (2017): 121. http://dx.doi.org/10.1249/01.mss.0000517157.52682.ef.

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Del Vecchio, Fabrício Boscolo, Denis Foster Gondim, and Antonio Carlos Pereira Arruda. "Functional Movement Screening Performance of Brazilian Jiu-Jitsu Athletes From Brazil." Journal of Strength and Conditioning Research 30, no. 8 (2016): 2341–47. http://dx.doi.org/10.1519/jsc.0000000000001324.

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Ramadani, Ermyka Elma Elma, Yasep Setiakarnawijaya, and Kuswahyudi Kuswahyudi. "Functional Movement Screen at DKI Jakarta POPB Athletics in 2023." Sports Medicine Curiosity Journal 2, no. 2 (2024): 99–104. http://dx.doi.org/10.15294/smcj.v2i2.78019.

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Functional Movement Screen (FMS) is a method for assessing a person's functional movement abilities. FMS can be used as a screening and injury prevention effort. The aim of this research is to provide information on weaknesses in functional movement patterns, FMS provides information on asymmetries and limitations in functional movement patterns between right and left and FMS helps predict the risk of injury that may occur. FMS consists of 7 movements, namely: (1) Deep Squat, (2) Hurdle Step, (3) Inline Lunges, (4) Shoulder Mobility, (5) Active Straight Leg Raise, (6) Trunk Stability Push Up,

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Stobierski, Lisa M., Shirleeah D. Fayson, Lindsay M. Minthorn, Tamara C. Valovich McLeod, and Cailee E. Welch. "Reliability of Clinician Scoring of the Functional Movement Screen to Assess Movement Patterns." Journal of Sport Rehabilitation 24, no. 2 (2015): 219–22. http://dx.doi.org/10.1123/jsr.2013-0139.

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Clinical Scenario:Injuries are inevitable in the physically active population. As a part of preventive medicine, health care professionals often seek clinical tools that can be used in real time to identify factors that may predispose individuals to these injuries. The Functional Movement Screen (FMS), a clinical tool consisting of 7 individual tasks, has been reported as useful in identifying individuals in various populations that may be susceptible to musculoskeletal injuries. If factors that may predispose physically active individuals to injury could be identified before participation, cl

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Hong, Ruiwei, Qingjun Xing, Yuanyuan Shen, and Yanfei Shen. "Effective Quantization Evaluation Method of Functional Movement Screening with Improved Gaussian Mixture Model." Applied Sciences 13, no. 13 (2023): 7487. http://dx.doi.org/10.3390/app13137487.

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Background: Functional movement screening (FMS) allows for the rapid assessment of an individual’s physical activity level and the timely detection of sports injury risk. However, traditional functional movement screening often requires on-site assessment by experts, which is time-consuming and prone to subjective bias. Therefore, the study of automated functional movement screening has become increasingly important. Methods: In this study, we propose an automated assessment method for FMS based on an improved Gaussian mixture model (GMM). First, the oversampling of minority samples is conduct

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Silva, Bruno, Luis Paulo Rodrigues, Filipe Manuel Clemente, José M. Cancela, and Pedro Bezerra. "Association between motor competence and Functional Movement Screen scores." PeerJ 7 (August 8, 2019): e7270. http://dx.doi.org/10.7717/peerj.7270.

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Background Motor competence (MC) is generally used to describe a person’s proficiency in a variety of motor skills and is the basis for one’s performance in sports and recreational activities. Functional Movement Screen (FMSTM) is one of the most used screening systems to provide interpretable measure of movement quality. Both FMSTM and MC constructs share three components: locomotor, manipulative and stabilizing movements. In the present study, it was hypothesized that MC scores can explain FMSTM variables. It was also predicted that better MC leads to better functional movement patterns in y

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Listiandi, Arfin Deri, Didik Rilastiyo Budi, Rohman Hidayat, et al. "Identifikasi Body Composition (Healthy Fitness Zone) dan Resiko Cedera pada Pemain Bola Basket SMA." Physical Activity Journal 3, no. 2 (2022): 203. http://dx.doi.org/10.20884/1.paju.2022.3.2.5701.

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Penelitian ini bertujuan untuk mengidentifikasi Body Composition yang terdiri dari Body Mass Index dan Body Fat Percentage menggunakan norma Healthy Fitness Zone dari fitnessgram dengan resiko cedera pada pemain bola basket SMA. Penelitian ini menggunakan metode penelitian deskriptif korelasional, sampel penelitian yaitu Siswa SMAN 4 dan SMAN 5 Purwokerto yang mengikuti ekstrakurikuler yang dipilih menggunakan purposive sampling sejumlah 20 Putra dan 10 Putri. Instrumen penelitian yang digunakan yaitu pengukuran body composition menggunakan Bioelectrical Impedance Analysis (BIA) dan tes Functi

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Alexe, Dan Iulian, Denis Čaušević, Nedim Čović, et al. "The Relationship between Functional Movement Quality and Speed, Agility, and Jump Performance in Elite Female Youth Football Players." Sports 12, no. 8 (2024): 214. http://dx.doi.org/10.3390/sports12080214.

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The association between movement screening and physical fitness testing in athletes is conflicting, and therefore, this study aimed to examine the relationship between Functional Movement Screen (FMS) performance and physical performance in elite female youth football players. Twenty-two players from the national U16 team of Bosnia and Herzegovina underwent FMS and physical performance tests, including speed, agility, and jump assessments. Jump and speed performance score correlated well with ASLR, while the overall FMS score was not associated with any of the performance variables. These find

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Kamkar, Mojtaba, Ali Asghar Norasteh, and Mostafa Zarei. "Investigating the Relationship Between the Dynamic Neuromuscular Stabilization Functional and the Functional Movement Screening Tests in Football Players." Scientific Journal of Rehabilitation Medicine 14, no. 01 (2025): 84–103. https://doi.org/10.32598/sjrm.14.1.3300.

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Background and Aims Functional assessments are used as key tools for informed decision-making in sports training and play a crucial role in identifying movement deficiencies and enhancing performance. Accordingly, this study investigates the relationship between the dynamic neuromuscular stabilization functional (FDNS) test and the functional movement screening (FMS) in football players. Methods This was a cross-sectional correlational study. The subjects included 100 healthy male football players with a mean age of 19.8±2.2 years, a weight of 68.47±7.86 kg, and a height of 177.13±5.24 cm. All

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Cosio-Lima, Ludmila M., Joseph J. Knapik, Richard Shumway, and Katy L. Reynolds. "Efficacy of Functional Movement Screening in Predicting Injuries in Coast Guard Cadets." Medicine & Science in Sports & Exercise 46 (May 2014): 768. http://dx.doi.org/10.1249/01.mss.0000495803.09668.62.

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Bring, Benjamin V., Robin Devine, Jason Diehl, et al. "Functional Movement Screening and Injury Rates in High School Cross Country Runners." Medicine & Science in Sports & Exercise 48 (May 2016): 1081. http://dx.doi.org/10.1249/01.mss.0000488252.57915.c2.

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Knapik, Joseph J., Ludimila M. Cosio-Lima, Katy L. Reynolds, and Richard S. Shumway. "Efficacy of Functional Movement Screening for Predicting Injuries in Coast Guard Cadets." Journal of Strength and Conditioning Research 29, no. 5 (2015): 1157–62. http://dx.doi.org/10.1519/jsc.0000000000000704.

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Bring, Benjamin V., Miriam Chan, Robin C. Devine, Christy L. Collins, Jason Diehl, and Benjamin Burkam. "Functional Movement Screening and Injury Rates in High School and Collegiate Runners." Clinical Journal of Sport Medicine 28, no. 4 (2018): 358–63. http://dx.doi.org/10.1097/jsm.0000000000000459.

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Kashuba, Vitaly, Irene Khmelnitska, Olena Andrieieva, Svitlana Krupenya, Veronika Denysenko, and Inna Horodinska. "Biogeometric Profile of the Posture as a Factor of Men’s Functional Assessment of Movements in the Early Middle Age." Sport Mont 19, S2 (2021): 35–39. http://dx.doi.org/10.26773/smj.210907.

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The research of the physical development of men in the early middle agewith different types and levels of biogeo- metric profile in the course of health fitness classes are presented. Subjects: 50 men of 35-45 years old engaged in physical activities. Visual screening of the biogeometric profile state of men’s posture has been used to assess the indicators in the sagittal and frontal planes. It was specified the indicators of the state level of the biogeo- metric profile of the different types of posture with men in the early middle age. Comparative analysis of indi- cators of functional asses

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Rao, Pachava Srinivasa, and Bisht Kanika. "Relationship Between Functional Movement Screen, Lower Quarter Y-Balance Test and Physical Performance Tests in Athletes." Journal of Clinical and Biomedical Sciences 14, no. 3 (2024): 91–98. http://dx.doi.org/10.58739/jcbs/v14i3.91.

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Context: The Functional Movement Screen (FMS) and lower quarter Y-Balance Test (LQ-YBT) are examples of functional screening tools used to identify physical dysfunction or functional asymmetries. Limitations in flexibility, agility and power may also have negative consequences on performance in fundamental movements in sport. Due to the time constraints of physical therapists and athletic trainers providing care towards athletes during rehabilitation and treatment hours, it is not possible to perform multiple screening tests/tools prior to an athletic season to determine if athletes have poor

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Lv, Tao, and Tingting Fu. "PHYSICAL TRAINING GUIDED BY FUNCTIONAL MOVEMENT SCREEN IN THE REHABILITATION OF SPORTS INJURIES." Revista Brasileira de Medicina do Esporte 28, no. 5 (2022): 557–60. http://dx.doi.org/10.1590/1517-8692202228052022_0076.

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ABSTRACT Introduction: The Functional Movement Screen is a standardized tool that proposes the evaluation of movement and body stability. That information can assist in decision-making for accurate and focused training programs. However, few studies address its use in the rehabilitation of table tennis players. Objective: Perform an experimental study on the physical training guided effect by the Functional Movement System method in sports injuries rehabilitation. Methods: Ten table tennis players, aged 18 to 24 years, with knee assessment scale scores between 6 and 8 points and skill level II

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Taylor, Marcus K., Lisa M. Hernández, Richard C. Allsopp, and John J. Fraser. "A catechol-O-methyltransferase genetic variant impacts functional movement in tactical athletes." PLOS ONE 20, no. 2 (2025): e0316127. https://doi.org/10.1371/journal.pone.0316127.

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Functional movement is a valuable indicator of physical performance, injury risk, and/or musculoskeletal impairment following injury. However, genetic variation and gene–environment interactions that may affect functional movement are largely unexplored. We recently reported a linkage between trauma exposure and functional movement in male tactical athletes. Here, we examined the effect of a common genetic variant, rs737865, within the catechol-O-methyltransferase gene on functional movement in specialized military personnel (N = 134). We also explored whether rs737865 modulated the influence

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Anandhi, D., S. Saravana Kumar, and Shantanu Patil. "Predict the musculoskeletal injuries in young skaters using Functional Movement Screen (FMSTM)." Fizjoterapia Polska 24, no. 4 (2024): 84–92. http://dx.doi.org/10.56984/8zg01a8v3w9.

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Background. Skating is a great way to improve heart rate, coordination, and strengthen the muscles, and burn calories. It works on the muscles of the legs, gluteus, and core and causes 50% less stress to the joints than running, along with improving flexibility and endurance. The FMS™ is a clinical screening tool used to assess seven fundamental movement patterns. It consists of overhead deep squats, hurdle steps, inline lunges, straight leg raises, trunk stability pushups, shoulder mobility, and rotary stability. Injuries are more common in sports, especially skating, where balance and coordi

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Wu, Wen-Lan, Meng-Hua Lee, Hsiu-Tao Hsu, Wen-Hsien Ho, and Jing-Min Liang. "Development of an Automatic Functional Movement Screening System with Inertial Measurement Unit Sensors." Applied Sciences 11, no. 1 (2020): 96. http://dx.doi.org/10.3390/app11010096.

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Background: In this study, an automatic scoring system for the functional movement screen (FMS) was developed. Methods: Thirty healthy adults fitted with full-body inertial measurement unit sensors completed six FMS exercises. The system recorded kinematics data, and a professional athletic trainer graded each participant. To reduce the number of input variables for the predictive model, ordinal logistic regression was used for subset feature selection. The ensemble learning algorithm AdaBoost.M1 was used to construct classifiers. Accuracy and F score were used for classification model evaluat

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Armstrong, Ross, Christopher Michael Brogden, Debbie Milner, Debbie Norris, and Matt Greig. "Functional Movement Screening as a Predictor of Mechanical Loading and Performance in Dancers." Journal of Dance Medicine & Science 22, no. 4 (2018): 203–8. http://dx.doi.org/10.12678/1089-313x.22.4.203.

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