Assessing Movement Quality in Youth Footballers: The Relationship between Hip and Lower Limb Movement Screen and Functional Movement Screen

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 performance in youth football players. The study included 41 elite male football (soccer) players (age: 15.6 ± 0.50 years), and the HLLMS and FMS scores were analyzed by assessing Spearman’s rank correlation. The FMS total score and the FMSMOVE were moderately correlated with the HLLMS total score (R = −0.54; −0.53, respectively). The FMS rotatory stability task was moderately correlated with the HLLMS small knee bend with the trunk rotation task (R = −0.50). The FMS deep squat task was moderately correlated with the HLLMS deep squat task (R = −0.46). The FMS hurdle step was weakly correlated with two of the HLLMS tasks: standing hip flexion (R = −0.37) and hip abduction with external rotation (R = −0.34). There were no other relationships found (p > 0.05). Out of the seven FMS tasks, only one asymmetrical (trunk rotary stability) and one symmetrical (deep squat) task were moderately related to the newly developed HLLMS tool contributing moderate relationship between the FMS total score and the HLLMS total score. Other FMS tasks were weakly or unrelated with the HLLMS. These findings indicate that these two screening tools mainly assess different aspects of movement quality in healthy youth football players.

Download Full-text

ASSESSING MOVEMENT QUALITY USING THE HIP AND LOWER LIMB MOVEMENT SCREEN: DEVELOPMENT, RELIABILITY AND POTENTIAL APPLICATIONS

Journal of Musculoskeletal Research ◽

10.1142/s0218957719500088 ◽

2019 ◽

Vol 22 (03n04) ◽

pp. 1950008

Author(s):

Nadine Booysen ◽

David A. Wilson ◽

Cara L. Lewis ◽

Martin B. Warner ◽

Mo Gimpel ◽

...

Keyword(s):

Lower Limb ◽

Limb Movement ◽

Screening Tools ◽

Low Grade ◽

Rater Reliability ◽

Exercise Interventions ◽

Movement Quality ◽

Two Samples ◽

Post Traumatic ◽

Lower Limb Movement

Background: An active lifestyle has many health benefits but intensive exercise and low grade repetitive trauma may impact the health of joints. Good quality, controlled movement, may reduce abnormal loading on joints and help prevent injury or when injuries do occur, prevent post-traumatic osteoarthritis. Screening tools to visually assess movement quality can be used to prescribe appropriate exercise interventions to improve movement quality. An assessment tool that focuses on hip movement control is needed for use in clinical and field environments. Purpose: To describe a new screening tool that assesses control of the hip, pelvis and lower limbs, the Hip and Lower Limb Movement Screen (HLLMS), and test its intra- and inter-rater reliability. Methods: The HLLMS includes five tests: small knee bend (SKB), standing hip flexion to [Formula: see text], side-lying hip abduction with the leg laterally rotated, SKB with trunk rotation and deep squat. Reliability was tested in two samples of young footballers aged 16–19 years; intra-rater in [Formula: see text] and inter-rater reliability in [Formula: see text]4. Percentage agreement (PA) and First-Order Coefficient (AC1) were calculated. Results: Intra-rater reliability was excellent with almost perfect agreement for the overall HLLMS (PA 96%; AC1 0.93), with strong inter-rater reliability (PA 88%; AC1 0.82). Conclusions: The HLLMS can identify movement quality reliably in young community footballers. Poor movement patterns identified using the HLLMS are intended to inform the design of targeted exercise programs to improve movement quality and reduce injuries or prevent the progression of injuries to post-traumatic OA.

Download Full-text

Prevalence of Movement Dysfunction in Female Collegiate Dancers

Journal of Dance Medicine & Science ◽

10.12678/1089-313x.061521j ◽

2021 ◽

Author(s):

Brett M. Kautzmann ◽

James B. Kase ◽

Cheryl A. Coker

Keyword(s):

Injury Risk ◽

Movement Patterns ◽

Movement Pattern ◽

Normative Values ◽

Functional Movement Screen ◽

Functional Movement ◽

Deep Squat ◽

Straight Leg Raise ◽

The Relationship ◽

Risk Potential

The Functional Movement Screen (FMS) is a screening instrument developed to identify basic movement dysfunctions that may increase musculoskeletal injury risk potential. To date there are no published normative values for the FMS in dancers; consequently, this study sought to establish those values in addition to identifying the prevalence and nature of movement dysfunction in collegiate dancers. The functional movement proficiency of 111 collegiate dancers was determined using the FMS, which provides three variables of interest: 1. FMS total score, 2. number of asymmetries (unequal performance of right and left sides), and 3. number of movement pattern dysfunctions. Total FMS scores ranged from 11 to 20 out of 21 possible points, with a mean of 16.42 (SD = 1.72). Forty-four percent of dancers presented with one or more asymmetries and 43% demonstrated one or more dysfunctional movement patterns. The active straight-leg raise was the most proficiently performed movement pattern, while the deep squat, hurdle step, and rotary stability were the least proficient. Functional Movement Screen outcome scores indicated that dysfunctional movement patterns and asymmetries exist in collegiate dancers. Additional research is needed to establish normative FMS scores for the different genres and levels of dance and establish the relationship between FMS scores and injury risk potential, and if that relationship is established, determine the efficacy of the FMS to develop intervention programs for injury prevention.

Download Full-text

Association Between Functional Movement Screen Scores and Injuries in Male College Basketball Players

Journal of Sport Rehabilitation ◽

10.1123/jsr.2017-0351 ◽

2020 ◽

Vol 29 (5) ◽

pp. 621-625 ◽

Cited By ~ 1

Author(s):

Kanako Shimoura ◽

Yasuaki Nakayama ◽

Yuto Tashiro ◽

Takayuki Hotta ◽

Yusuke Suzuki ◽

...

Keyword(s):

Group Differences ◽

Functional Movement Screen ◽

Basketball Players ◽

Functional Movement ◽

College Basketball ◽

Logistic Analysis ◽

Male College ◽

Deep Squat ◽

The Relationship ◽

Multivariate Logistic Analysis

Context: The functional movement screen (FMS) is an assessment tool for movement dysfunction, which is used to reduce the risk of injury. Although the relationship between the FMS composite score and injuries has been extensively studied, the association between FMS scores and injuries in only college basketball players remains unknown. Objective: To examine the relationship between the FMS score and injuries in basketball players. Design: Cross-sectional study. Setting: University research laboratory. Participants: Eighty-one male college basketball players (average age 20.1 [1.3] y) participated. Main Outcome Measures: The FMS composite score was calculated from 7 movement tests. The incidence of injuries over a 1-year period prior to the test day was determined based on a questionnaire. Individuals were categorized into 2 groups: injury (with a serious basketball-related injury resulting in the loss of practice and game time for at least 4 wk) and noninjury groups. Mann–Whitney U and chi-square tests were used to evaluate group differences in the composite FMS and 7 movement scores, respectively. Furthermore, the scores significant on univariate analyses were submitted to a multivariate logistic analysis, adjusting for participant characteristics. Results: The composite FMS scores of the 2 groups were not significantly different (P = .38). Among the 7 tasks, only the deep squat and hurdle step showed significant group differences (P = .03 and P = .001, respectively). The multivariate logistic analysis revealed that deep squat (odds ratio, 6.48; 95% confidence interval, 1.23–34.01; P = .03) and hurdle step scores (odds ratio, 25.80; 95% confidence interval, 1.81–368.73; P = .02) were significantly associated with injuries, even after adjustment for participant characteristics. Conclusions: Deep squat and hurdle step scores may be associated with injuries in basketball players. Further research should be conducted to confirm that these 2 scores can predict the incidence of injuries in basketball players.

Download Full-text

Betaband event-related desynchronization prior to simple lower limb movement and simulated gait initiation in Parkinson’s disease patient: Magnetoencephalography study

Parkinsonism & Related Disorders ◽

10.1016/j.parkreldis.2017.11.265 ◽

2018 ◽

Vol 46 ◽

pp. e77

Author(s):

J.Y. Yun ◽

B. Jeon

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Lower Limb ◽

Disease Patient ◽

Limb Movement ◽

Gait Initiation ◽

Event Related Desynchronization ◽

Lower Limb Movement

Download Full-text

Automatic Detection of Periodic Limb Movements in Sleep (PLMS), And Analysis of Their Relationship to Heart Rate Signals

10.32920/ryerson.14648952 ◽

2021 ◽

Author(s):

Sharadha Kolappan

Keyword(s):

Heart Rate ◽

Correlation Coefficients ◽

Limb Movement ◽

The Other ◽

Screening Tools ◽

Periodic Limb Movements ◽

Periodic Limb Movement ◽

Related Disorder ◽

The Relationship ◽

Core Features

Periodic Limb Movement in Sleep (PLMS) are a sleep-related disorder of the limbs that increasingly more research has begun to associate with severe Cardiovascular Diseases (CVD). With that said, Polysomnography (PSG), followed by manual scoring, is the conventional approach being used to monitor the disorder. However, patient inconvenience, and the high costs associated with PSG, has probed the need for alternative screening tools to be developed. Moreover, due to the cumbersome and time-consuming nature of manually scoring for PLMS, more studies have begun to look into automated means of detecting PLMS. Hence, while one of the goals of the current thesis was to use the latest clinical specifications to develop an automated Periodic Limb Movement (PLM) detector, the other goal was to look into alternative signals to monitor PLMS. With that said, in the current thesis, an automated PLM detector was developed and tested on two datasets. In fact, the results were promising in that, correlation coefficients of 0.78 and 0.8, and absolute differences not greater than 9 and 6 (not including the extreme outliers) respectively, were found when comparing the clinical PLM scores with that of the automated algorithm’s PLM scores. Moreover, not only did the automated PLM detector compute PLM scores, it also provided us with PLM segmentation information, i.e., localization of PLM with respect to time. On the other hand, with regards to finding alternative signals to monitor PLMS, the etiology of PLMS was used in order to validate the use of relatively easily acquirable signals, such as Heart Rate (HR) signals, to monitor the condition. Moreover, core features were extracted from the HR signals and the PLM segmentation information from the developed PLM detector was used in order to perform individuaized classification between PLM and non-PLM segments (per subject). Although the results were promising in that, the percent of correctly identifying a given segment as PLM or non-PLM, using the HR features, across most of the subjects, i.e., especially those with PLM Index ≥ 15, were around and well above the 70% range, due to the possibility of other factors interfering with HR during sleep, a more immediate application of the observed PLMS vs HR distinction was, to be able to monitor the autonomic health of an individual, given their PLM information. Specifically, the latter was anticipated to be useful for studies looking into the relationship between PLMS and HR, and thus CVD, or more significantly, those looking into preventing CVD by treating PLM.

Download Full-text

The Relationship Between a Jump-Landing Task and Functional Movement Screen Items

The Journal of Strength and Conditioning Research ◽

10.1519/jsc.0000000000002121 ◽

2019 ◽

Vol 33 (7) ◽

pp. 1855-1863 ◽

Cited By ~ 2

Author(s):

Kornelius Kraus ◽

Elisabeth Schütz ◽

Ralf Doyscher

Keyword(s):

Functional Movement Screen ◽

Functional Movement ◽

Jump Landing ◽

The Relationship

Download Full-text

The Level of the Functional Movement Screen Among Traditional Dancers

Asian Social Science ◽

10.5539/ass.v17n11p103 ◽

2021 ◽

Vol 17 (11) ◽

pp. 103

Author(s):

Segar A/L A. Maniveloo ◽

Borhannudin Abdullah ◽

Shamsulariffin Samsudin

Keyword(s):

Descriptive Analysis ◽

Rotational Stability ◽

Functional Movement Screen ◽

Stability Tests ◽

Functional Movement ◽

Risk Of Injury ◽

Significant Difference ◽

Quasi Experimental ◽

The Difference ◽

Deep Squat

Movement assessments are commonly used to assess athlete’s risk of injury as well as basic and specific skill movement patterns; however, dance is identified to be differing from sports because the average dancer’s training load is higher than the athletes. This study aims to identify the difference in the Functional Movement Screen (FMS) level among traditional dancers in Malaysia. A quasi-experimental study design was adopted, which involved 66 dancers (M = 33; F = 33). The study comprised traditional dancers from three ethnic backgrounds, namely, Malay, Chinese and Indian. The descriptive analysis described the level of the dancers’ FMS, as follows: Malay (M = 16.18, SD = 2.062), Chinese (M = 18.50, SD = 1.102), Indian (M = 18.23, SD = 1.445). The ANOVA analysis found a significant difference in the FMS scores among all three groups of dancers, F (2,63) = 14.026, p >.000. The deep squat, hurdle step, shoulder mobility, active straight leg raise and trunk stability tests for push-up indicated a significant difference, whereas the inline lunges test and rotational stability tests showed no significance difference. However, the Post Hoc analysis showed no significant difference between the Chinese and Indian dancers. It can be concluded that there is a difference in FMS scores between Malay, Chinese and Indian dancers. FMS may be a useful tool to help identify dancers about the risk of injury and improve their movement quality.

Download Full-text

FUNCTIONAL MOVEMENT SCREEN (FMS) SEBAGAI TES MOBILITAS, KESEIMBANGAN, DAN STABILITAS ATLET PASCA CEDERA

Jurnal Wahana Pendidikan ◽

10.25157/wa.v6i2.2966 ◽

2019 ◽

Vol 6 (2) ◽

pp. 1

Author(s):

Hendra Rustiawan ◽

Ruli Sugiawardana ◽

Muhammad Nurzaman

Keyword(s):

Functional Movement Screen ◽

Strength And Conditioning ◽

Functional Movement ◽

Trunk Stability ◽

Deep Squat ◽

Straight Leg Raise ◽

Push Up

Penelitian ini bertujuan untuk memberikan informasi tentang instrument test yang berfungsi untuk mengukur komponen kondisi fisik mobilitas, keseimbangan, dan stabilitas atlet yang mengalami atau yang sudah pernah terkena cedera otot dan tulang sendi. Komponen tes FMS terdiri dari in-line lunge, hurdle step, deep squat, shoulder mobility, active straight-leg raise, trunk stability push-up, rotary stability Berbagai hasil penelitian menunjukkan bahwa: (1) adanya hubungan antara atlet yang mengalami cedera otot dengan tes FMS, (2) tidak adanya hubungan, dan (3) adanya hubungan yang signifikan pada atlet yang mengalami cedera terhadap mobilitas, keseimbangan, dan stabilitas yang diukur dengan FMS, dan (4) adanya pengaruh tes tersebut akan tetapi dengan sampel tertentu (usia). Hal ini dapat disimpulkan bahwa bahwa perlunya dilakukan penelitian ulang dengan memperhatikan berbagai aspek (usia, jenis kelamin, dan profesi). Hal tersebut diharapkan FMS dapat digunakan pada penelitian kondisi fisik (strength and conditioning)

Download Full-text