Movement Assessment Tool Research Articles

Reliability of a qualitative movement assessment tool during a single-leg triple hop landing

ObjectiveAssess inter- and intra-rater reliability of the Qualitative Analysis of Single Leg Squat (QASLS) during a single-leg triple hop landing in subjects following anterior cruciate ligament reconstruction (ACLR). Explore if differences in reliability existed between novice and experienced clinicians. Determine if QASLS scores differed between the surgical and nonsurgical limbs. DesignRepeated Measures. Participants20 subjects ≥6 months post-ACLR. MethodsSubjects were recorded performing a single-leg triple hop bilaterally. Videos were independently rated by five raters (2 physical therapists and 3 physical therapy students). Intraclass correlation coefficient (ICC) was calculated to measure reliability of the QASLS on the surgical limb. Wilcoxon signed-rank test was utilized to assess if differences in QASLS scores existed between limbs. ResultsThe cumulative inter-rater reliability was moderate (ICC (2,1): 0.703) and the cumulative intra-rater reliability was good (ICC (3,1): 0.857). Little difference was found between experienced and novice raters for inter- and intra-rater reliability. There was no statistically significant difference in QASLS scores between limbs (P = 0.64). ConclusionThe QASLS tool offers moderate inter- and good intra-rater reliability for evaluating movement quality during a single-leg triple hop landing, irrespective of rater experience. Additionally, there was no observed difference in QASLS scores between surgical and nonsurgical limbs.

Suggestions and Considerations for Application of Movement Screens to Clinical Practice.

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The Relationship between General Movements and Risk Factors in Moderate-Late Preterm Infants: A Prospective Cohort Study.

Moderate-late preterm infants constitute the largest segment of preterm births globally. While previously considered to have a low neurological risk, recent research has uncovered an elevated incidence of neurodevelopmental conditions in this group. This study aimed to assess the relationship between the general movement assessment and birth-related risk factor-based tools in moderate-late preterm infants. A prospective cohort study of 65 moderate-late preterm infants in a neonatal intensive care unit involved the evaluation of general movements, the Nursery Neurobiologic Risk Score, and the Perinatal Risk Inventory. Associations were analyzed using Fisher's exact test, Spearman's correlation was used for ordinal variables, and backward stepwise logistic regression was used to identify predictor variables for the assessments. The findings indicated a high prevalence of normal (41%) and poor (52%) repertoire patterns during the writhing period. While no significant associations were found between the three assessments, a slight approximation emerged between dysmorphic traits and patterns (p = 0.053). Furthermore, an extended period of ventilation correlated with a higher likelihood of developing a cramped synchronized pattern and there was a correlation between both risk factor-based tools (p < 0.001). This research enhances our understanding of the early impact on general movement assessments in moderate-late preterm infants. While no clear relationship emerged between general movement assessment and risk factor-based tools, there was a subtle connection noted with dysmorphic traits. A longer ventilation duration was linked to a higher risk of developing cramped synchronized patterns.

Three-Dimensional Motion Capture Data of a Movement Screen from 183 Athletes

Movement screens are widely used to identify aberrant movement patterns in hopes of decreasing risk of injury, identifying talent, and/or improving performance. Motion capture data can provide quantitative, objective feedback regarding movement patterns. The dataset contains three-dimensional (3D) motion capture data of 183 athletes performing mobility tests (ankle, back bend, crossover adduction, crossover rotation, elbows, head, hip turn, scorpion, shoulder abduction, shoulder azimuth, shoulder rotation, side bends, side lunges and trunk rotation) and stability tests (drop jump, hop down, L-cut, lunge, rotary stability, step down and T-balance) bilaterally (where applicable), the athletes’ injury history, and demographics. All data were collected at 120 Hz or 480 Hz using an 8-camera Raptor-E motion capture system with 45 passive reflective markers. A total of 5,493 trials were pre-processed and included in .c3d and .mat formats. This dataset will enable researchers and end users to explore movement patterns of athletes of varying demographics from different sports and competition levels; develop objective movement assessment tools; and gain new insights into the relationships between movement patterns and injury.

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk

Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity. To develop and assess the external validity of a novel deep learning-based method to predict CP based on videos of infants' spontaneous movements at 9 to 18 weeks' corrected age. This prognostic study of a deep learning-based method to predict CP at a corrected age of 12 to 89 months involved 557 infants with a high risk of perinatal brain injury who were enrolled in previous studies conducted at 13 hospitals in Belgium, India, Norway, and the US between September 10, 2001, and October 25, 2018. Analysis was performed between February 11, 2020, and September 23, 2021. Included infants had available video recorded during the fidgety movement period from 9 to 18 weeks' corrected age, available classifications of fidgety movements ascertained by the general movement assessment (GMA) tool, and available data on CP status at 12 months' corrected age or older. A total of 418 infants (75.0%) were randomly assigned to the model development (training and internal validation) sample, and 139 (25.0%) were randomly assigned to the external validation sample (1 test set). Video recording of spontaneous movements. The primary outcome was prediction of CP. Deep learning-based prediction of CP was performed automatically from a single video. Secondary outcomes included prediction of associated functional level and CP subtype. Sensitivity, specificity, positive and negative predictive values, and accuracy were assessed. Among 557 infants (310 [55.7%] male), the median (IQR) corrected age was 12 (11-13) weeks at assessment, and 84 infants (15.1%) were diagnosed with CP at a mean (SD) age of 3.4 (1.7) years. Data on race and ethnicity were not reported because previous studies (from which the infant samples were derived) used different study protocols with inconsistent collection of these data. On external validation, the deep learning-based CP prediction method had sensitivity of 71.4% (95% CI, 47.8%-88.7%), specificity of 94.1% (95% CI, 88.2%-97.6%), positive predictive value of 68.2% (95% CI, 45.1%-86.1%), and negative predictive value of 94.9% (95% CI, 89.2%-98.1%). In comparison, the GMA tool had sensitivity of 70.0% (95% CI, 45.7%-88.1%), specificity of 88.7% (95% CI, 81.5%-93.8%), positive predictive value of 51.9% (95% CI, 32.0%-71.3%), and negative predictive value of 94.4% (95% CI, 88.3%-97.9%). The deep learning method achieved higher accuracy than the conventional machine learning method (90.6% [95% CI, 84.5%-94.9%] vs 72.7% [95% CI, 64.5%-79.9%]; P < .001), but no significant improvement in accuracy was observed compared with the GMA tool (85.9%; 95% CI, 78.9%-91.3%; P = .11). The deep learning prediction model had higher sensitivity among infants with nonambulatory CP (100%; 95% CI, 63.1%-100%) vs ambulatory CP (58.3%; 95% CI, 27.7%-84.8%; P = .02) and spastic bilateral CP (92.3%; 95% CI, 64.0%-99.8%) vs spastic unilateral CP (42.9%; 95% CI, 9.9%-81.6%; P < .001). In this prognostic study, a deep learning-based method for predicting CP at 9 to 18 weeks' corrected age had predictive accuracy on external validation, which suggests possible avenues for using deep learning-based software to provide objective early detection of CP in clinical settings.

Reliability of a Qualitative Movement Assessment Tool During a Single Leg Triple Hop

Background:Single leg hop tests are commonly used to determine readiness for return to sport following anterior cruciate ligament reconstruction (ACLR). A common criticism of hop tests is their inability to account for quality of movement errors, which may be associated with increased risk of re-injury. The Qualitative Analysis of Single Leg Squat (QASLS) tool was originally developed to score quality of movement during a single leg squat. The usefulness of this tool for identifying quality of movement errors during single leg hopping has not been assessed.Hypothesis/Purpose:The purpose of this study was to determine the inter and intra-rater reliability of the QASLS tool during a single leg triple hop and explore if differences in reliability existed between novice and experienced clinicians.Methods:Subjects 10-24 years-old and ≥6-months post ACLR were eligible for this study. Subjects were recorded performing a maximal effort single leg triple hop on each limb. Recordings were viewed individually by five raters, two board-certified sports clinical specialists, and three doctor of physical therapy students in their 2nd year of education. All raters were trained in the use of the QASLS tool during a single online training presentation. Raters were blinded to surgical limb and utilized the QASLS to rate the final landing of the triple hop task. Intraclass correlation coefficient (ICC) was calculated to measure reliability of the QASLS on the surgical limb. Wilcoxon signed-rank test was utilized to assess if differences in QASLS scores existed between limbs.Results:20 subjects (mean age 16.5, 60% female) participated in this study. The cumulative inter-rater reliability of the surgical limb was moderate (ICC: 0.703) and little difference was seen between experienced and novice raters with ICCs of 0.703 and 0.603, respectively. Intra-rater reliability was better, with a cumulative ICC of 0.857 and with experienced clinicians demonstrating slightly higher reliability (ICC 0.891) than novice clinicians (ICC 0.831). The mean QASLS scores for the surgical limb and nonsurgical limbs were 5.2 and 5.4, respectively, and there was no statistically significant difference between scores (P=0.64).Conclusions:The QASLS tool offers moderate to good inter and intra-rater reliability for evaluating quality of movement errors during a single leg triple hop, regardless of rater experience level. Interestingly, surgical limb did not show any difference in quality of movement compared to the nonsurgical limb.Table 1.Interrater ReliabilityTable 1.2Intrarater Reliability

Expert recommendations for the design of a teacher-oriented movement assessment tool for children aged 4-7 years: a Delphi study

ABSTRACT The aim of this study was to establish the content of a teacher-oriented movement assessment tool (MAT) for children aged 4–7 years. A three-round Delphi poll with an international panel of forty-six academics and practitioners was conducted. Consensus was reached on a selection and number of fundamental movement skills to be assessed with four stability (one foot balance, walk forwards along a line, front support, and sideways roll), five object control (two handed catch, underarm throw, overarm throw, kicking a ball, dribbling a ball with hands), and five locomotor (run, hop, horizontal jump, side-stepping, and skipping). A developmental stage approach and process-oriented scoring were deemed most suitable. These findings present the requisite elements to develop a teacher-oriented MAT for children aged 4–7 years. This framework would provide teachers the opportunity to effectively assess children’s FMS and subsequently intervene to improve movement competence.

Classifying Elite From Novice Athletes Using Simulated Wearable Sensor Data.

Movement screens are frequently used to identify differences in movement patterns such as pathological abnormalities or skill related differences in sport; however, abnormalities are often visually detected by a human assessor resulting in poor reliability. Therefore, our previous research has focused on the development of an objective movement assessment tool to classify elite and novice athletes’ kinematic data using machine learning algorithms. Classifying elite and novice athletes can be beneficial to objectively detect differences in movement patterns between the athletes, which can then be used to provide higher quality feedback to athletes and their coaches. Currently, the method requires optical motion capture, which is expensive and time-consuming to use, creating a barrier for adoption within industry. Therefore, the purpose of this study was to assess whether machine learning could classify athletes as elite or novice using data that can be collected easily and inexpensively in the field using inertial measurement units (IMUs). A secondary purpose of this study was to refine the architecture of the tool to optimize classification rates. Motion capture data from 542 athletes performing seven dynamic screening movements were analyzed. A principal component analysis (PCA)-based pattern recognition technique and machine learning algorithms with the Euclidean norm of the segment linear accelerations and angular velocities as inputs were used to classify athletes based on skill level. Depending on the movement, using metrics achievable with IMUs and a linear discriminant analysis (LDA), 75.1–84.7% of athletes were accurately classified as elite or novice. We have provided evidence that suggests our objective, data-driven method can detect meaningful differences during a movement screening battery when using data that can be collected using IMUs, thus providing a large methodological advance as these can be collected in the field using sensors. This method offers an objective, inexpensive tool that can be easily implemented in the field to potentially enhance screening, assessment, and rehabilitation in sport and clinical settings.

Assessing the Internal Reliability and Construct Validity of the General Movement Competence Assessment for Children

Validated assessment tools for movement competence typically involve the isolation and reproduction of specific movement forms, which arguably neglects individuals’ ability to combine and adapt movements to overcome constraints within a dynamic environment. A new movement assessment tool, the General Movement Competence Assessment (GMCA), was developed for this study using Microsoft Kinect. Movement competence of 83 children (36 boys and 47 girls), aged 8–10 years (9.06 ± 0.75 years) was measured using the GMCA. An exploratory approach was undertaken to examine the internal consistency reliability (McDonald’s omega coefficient) and factorial structure of the GMCA for the study sample. Factorial structure was determined using exploratory factor analysis by principal component analysis with varimax rotation. For the sample data, reliability for the GMCA games were acceptable (ω = 0.53–0.89) and indicated that combinations of movement attributes were measured by GMCA games. Factorial analysis extracted four movement constructs accounting for 71.31% of variance. Dexterity was tentatively identified as a new independent construct alongside currently accepted movement constructs (i.e., locomotion, object-control, stability). While further development of the GMCA is still required, initial results are encouraging in view of an objective and theoretically informed approach to assess general movement competence in children.

An Assessment of the Movement and Function of Children with Specific Learning Disabilities: A Review of Five Standardised Assessment Tools.

Various standardised assessment tools have been used to evaluate children with disabilities. However, assessment tools that provide information on the movement and function of children with specific learning disabilities (SLD) are still limited. This article provides a narrative review of the characteristics of five movement and/or function assessment tools. The strengths and limitations of the tools will be highlighted. Empirical studies on the assessment tools used are reviewed based on three criteria: (i) standardised tools; (ii) assessment of movement and/or function; (iii) applicability to children with SLD ranging from 4–17 years of age and widely used in practice. The following instruments have been included as they have been found to fulfil the criteria: (i) the Bruininks-Oseretsky test of motor proficiency-2 (BOT-2); (ii) the movement assessment battery for children-2 (MABC-2); (iii) the pediatric balance scale (PBS); (iv) the Vineland adaptive behaviour scale-II (VABS-II) and (v) the pediatric evaluation of disability inventory-computerised adaptive test (PEDI-CAT). The article presents the characteristics, strengths and limitations of five standardised assessment tools that are currently in use, which measure the movement and/or function of children with SLD. This article concludes with a discussion of recommendations for the best approaches to evaluating the movement and functional abilities of children with SLD.

Awareness and Perceived Value of Eye Tracking Technology for Concussion Assessment among Sports Medicine Clinicians: A Multinational Study

ABSTRACT Objective The awareness of concussion as a serious and frequently occurring sports injury and its management has evolved significantly. One viable objective diagnostic tool is eye tracking technology. The authors hypothesized that while clinicians may be aware that assessing eye movements in concussed athletes can be beneficial, it is possible that, due to the novelty of the eye tracking technology and limited exposure, only a few actually use it in their practice. The study aimed to assess the awareness of eye movement deficits associated with concussion amongst sports medicine clinicians and to determine the utilization and perceptions of the eye tracking technology for concussion diagnosis. Methods An online 18-question survey was distributed internationally from January until December 2017 and completed by 171 sports medicine clinicians (sport physicians, therapists, general practitioners, neuropsychologists) from 32 countries. Results Respondents indicated that subjectivity of assessments remained a major limitation of established diagnostic tools. Eye tracking technology, despite its potential to attenuate this limitation, was only used by 12% of respondents. To diagnose concussion, 77% did not use any eye movement assessment tools other than own clinical assessment. With the exception of abnormal pupil light reflex, which was checked by 68%, eye movement deficits were inspected by less than half of the respondents (46.3 ± 12%). Conclusion Even among sports medicine clinicians who regularly attend to patients with concussions, there is insufficient awareness that concussion can lead to abnormal eye tracking behavior. Lack of exposure to the sensitive eye tracking equipment may be a limiting factor for using eye movement metrics for concussion diagnostics. Facilitating the awareness of objective methods, like eye tracking technology, may help assure the appropriate continuum of identification and treatment for concussed athletes. Increasing educational opportunities and practical experience of clinicians regarding concussive symptoms and potential innovative technology is strongly advocated.

RELIABILITY of a MOVEMENT QUALITY ASSESSMENT TOOL to GUIDE EXERCISE PRESCRIPTION (MOVEMENTSCREEN).

Movement quality is commonly assessed to identify movement limitations and guide exercise prescription. Rapid growth in the movement assessment landscape has led to the development and utilization of various movement quality assessments, many without reliability estimates. MovementSCREEN is a novel, tablet-based, video-recorded movement assessment tool, currently without published reliability information. Therefore, the purpose of this study was to determine the intra and inter-rater reliability of the MovementSCREEN, including the impact of rater experience, and provide estimates of measurement error and minimal detectable change. Cross-sectional design; reliability study. Thirty healthy young adults (14M:16F, mean age 28.4 yrs, SD 9.1) were video recorded completing the nine MovementSCREEN assessment items on two occasions, two weeks apart. Each individual movement was assessed against objective scoring criteria (component items: yes/no) and using a 100-point sliding scale. To create an overall score for each movement, the scale score is weighted against the objective items to provide a score out of 100. At the completion of all nine individual movements, a mean composite score of movement quality is also established (0-100). The first recording was scored twice by two expert and two novice assessors to investigate inter- and intra-rater reliability. The second recording was scored by one expert assessor to investigate within-subject error. Inter- and intra-rater reliability was calculated using intraclass correlation coefficients (ICCs) and Kappa statistics. The standard error of measurement (SEM), and minimal detectable change (MDC95) for the overall score for each movement, and the composite score of movement quality, were calculated. Intra-rater reliability for the component items ranged from κ = 0.619 - 1.000 (substantial to near perfect agreement) and 0.233 - 1.000 (slight to near perfect agreement) for expert and novice assessors, respectively. The ICCs for the overall movement quality scores for each individual movement ranged from 0.707 - 0.952 (fair to high) in expert and 0.502 - 0.958 (poor to high) in novice assessors. Inter-rater agreement for the component items between expert assessors ranged from κ = 0.242 - 1.000 (slight to almost perfect agreement), while for novice assessors ranged from 0.103 - 1.000 (less than chance to almost perfect agreement). ICCs for the overall scores for each individual movement from expert and novice assessors ranged from 0.294 - 0.851 (poor to good) and 0.249 - 0.775 (poor to fair), respectively. The SEM for the composite score was 2 points, while the MDC95 was 6 points, with an ICC 0.901. The MovementSCREEN can assess movement quality with fair to high reliability on a test-retest basis when used by experienced assessors, although reliability scores decrease in novice assessors. Comparisons between assessors involve greater error. Therefore, the training of inexperienced assessors is recommended to improve reliability. 2b.

Association of Infants Exposed to Prenatal Zika Virus Infection With Their Clinical, Neurologic, and Developmental Status Evaluated via the General Movement Assessment Tool

There is an urgent need to assess neurodevelopment in Zika virus (ZIKV)-exposed infants. To perform general movement assessment (GMA) at 9 to 20 weeks' postterm age and to evaluate whether the findings are associated with neurodevelopmental outcomes at age 12 months in infants prenatally exposed to acute maternal illness with rash in Brazil during the ZIKV outbreak and in age-matched controls. In this cohort study, infants prenatally exposed to acute maternal illness with rash were recruited at medical institutions in Rio de Janeiro and Belo Horizonte, Brazil, from February 1, 2016, to April 30, 2017, while infants without any exposure to maternal illness originated from the Graz University Audiovisual Research Database for the Interdisciplinary Analysis of Neurodevelopment. Participants were 444 infants, including 76 infants without congenital microcephaly, 35 infants with microcephaly, and 333 neurotypical children matched for sex, gestational age at birth, and age at GMA. General movement assessment performed at 9 to 20 weeks' postterm age, with negative predictive value, positive predictive value, sensitivity, and specificity generated, as well as clinical, neurologic, and developmental status (Bayley Scales of Infant and Toddler Development, Third Edition [Bayley-III] scores) at age 12 months. Motor Optimality Scores were generated based on the overall quality of the motor repertoire. Adverse outcomes were defined as a Bayley-III score less than 2 SD in at least 1 domain, a score less than 1 SD in at least 2 domains, and/or atypical neurologic findings. A total of 444 infants were enrolled, including 111 children prenatally exposed to a maternal illness with rash and 333 children without any prenatal exposure to maternal illness (57.7% male and mean [SD] age, 14 [2] weeks for both groups); 82.1% (46 of 56) of ZIKV-exposed infants without congenital microcephaly were healthy at age 12 months. Forty-four of 46 infants were correctly identified by GMA at 3 months, with a negative predictive value of 94% (95% CI, 85%-97%). Seven of 10 ZIKV-exposed children without microcephaly with adverse neurodevelopmental outcomes were identified by GMA. The GMA positive predictive value was 78% (95% CI, 46%-94%), sensitivity was 70% (95% CI, 35%-93%), specificity was 96% (95% CI, 85%-99%), and accuracy was 91% (95% CI, 80%-97%). Children with microcephaly had bilateral spastic cerebral palsy; none had normal movements. The Motor Optimality Score differentiated outcomes: the median Motor Optimality Score was 23 (interquartile range [IQR], 21-26) in children with normal development, 12 (IQR, 8-19) in children with adverse outcomes, and 5 (IQR, 5-6) in children with microcephaly, a significant difference (P = .001). This study suggests that although a large proportion of ZIKV-exposed infants without microcephaly develop normally, many do not. The GMA should be incorporated into routine infant assessments to enable early entry into targeted treatment programs.

Primary Teachers’ Recommendations for the Development of a Teacher-Oriented Movement Assessment Tool for 4–7 Years Children

ABSTRACTTo inform the development of a teacher-oriented movement assessment tool, this study aimed to explore primary school teachers’ perceptions of assessing fundamental movement skills (FMS) within Physical Education (PE) lessons. Thirty-nine primary school teachers of PE, located in the United Kingdom, participated in an individual or group in-depth interview. Findings signify that teachers perceive a need for a movement assessment tool that is simple for them to use, quick to administer and provides valuable feedback to guide future teaching and learning. This is vital as teachers indicated a lack of appropriate resources and a shortage of curriculum time restricts their use of assessment within PE. A movement assessment tool that was integrated on a digital technology platform could increase teachers’ understanding of assessing FMS and enhance children’s learning of FMS.

Sex Differences on the Landing Error Scoring System Among Individuals With Anterior Cruciate Ligament Reconstruction

After anterior cruciate ligament reconstruction (ACLR), women have a greater risk of incurring a second anterior cruciate ligament injury and they display different landing movement patterns than men. It remains unclear if clinical movement-assessment tools, such as the Landing Error Scoring System (LESS), can detect sex differences in movement patterns after ACLR. To compare total LESS scores and individual LESS errors between men and women with a history of ACLR. Cross-sectional study. Laboratory. A total of 168 individuals (41 men and 127 women; mean age: men = 20 years [range, 19-25 years], women = 19 years [range, 18-20 years]; mean time since surgery: men = 21 months [range, 12-36 months], women = 27.5 months [range, 17-39 months]) with a history of primary, unilateral ACLR. Participants completed a minimum of 3 trials of a drop vertical-jump task scored using the LESS. The between-sexes difference in LESS score was assessed using analysis of covariance, whereas the associations between participant sex and errors on each LESS item were assessed using logistic or multinomial regression. Women displayed a greater number of total landing errors (men = 4.6 ± 2.3, women = 6.1 ± 2.3; P < .001) and were more likely to commit errors in trunk flexion at initial contact (men = 4.9%, women = 23.6%; odds ratio [OR] = 4.94), medial knee position at initial contact (men = 17.1%, women = 42.5%; OR = 6.01), medial knee displacement (men = 24.4%, women = 73.2%; OR = 7.88), total joint displacement (1 error: men = 58.5%, women = 71.7%, OR = 2.10; 2 errors: men = 7.3%, women = 14.2%, OR = 3.71), and overall impression (1 error: men = 75.6%, women = 84.3%, OR = 3.24; 2 errors: men = 2.4%, women = 10.2%, OR = 12.89) compared with men. Women with ACLR displayed worse LESS scores and were more likely to commit errors related to medial knee displacement and overall landing quality than men with ACLR.

Reconsidering the fundamental movement skills construct: Implications for assessment

A wide range of movement experiences over the early years of life is crucial for the development of expertise in skill later in adulthood. A set of movements termed Fundamental Movement Skills has been suggested as a precursor for performance of more complex movement. The attainment of FMS during childhood is certainly a noble and worthwhile aim. However, we argue that mastery of FMS as demonstrated through movement assessment batteries does not sufficiently capture movement competence in the general population. Contemporary views of motor development, such as Ecological Dynamics, suggest instead, that regardless of prior acquisition of a “fundamental” set of skills, an individual’s motor competence is the result of self-organisation under constraint to achieve outcome goals. We propose a working definition of movement competence that stresses the importance of the role of affordance detection and utilisation throughout the lifespan. Thus, what should be considered “foundational” is a wide range of movement experiences that allows an individual adequate opportunities for exploration and refinement in order to build expertise. Encouragingly, new movement assessment tools are emerging that apply these important theoretical concepts and help to reveal how individuals can demonstrate their movement adaptability instead of performing isolated movements based upon an “ideal” standard.

Multicomponent Musculoskeletal Movement Assessment Tools: A Systematic Review and Critical Appraisal of Their Development and Applicability to Professional Practice.

Multicomponent movement assessment tools have become commonplace to measure movement quality, proposing to indicate injury risk and performance capabilities. Despite popular use, there has been no attempt to compare the components of each tool reported in the literature, the processes in which they were developed, or the underpinning rationale for their included content. As such, the objective of this systematic review was to provide a comprehensive summary of current movement assessment tools and appraise the evidence supporting their development. A systematic literature search was performed using PRISMA guidelines to identify multicomponent movement assessment tools. Commonalities between tools and the evidence provided to support the content of each tool was identified. Each tool underwent critical appraisal to identify the rigor in which it was developed, and its applicability to professional practice. Eleven tools were identified, of which 5 provided evidence to support their content as assessments of movement quality. One assessment tool (Soccer Injury Movement Screen [SIMS]) received an overall score of above 65% on critical appraisal, with a further 2 tools (Movement Competency Screen [MCS] and modified 4 movement screen [M4-MS]) scoring above 60%. Only the MCS provided clear justification for its developmental process. The remaining 8 tools scored between 40 and 60%. On appraisal, the MCS, M4-MS, and SIMS seem to provide the most practical value for assessing movement quality as they provide the strongest reports of developmental rigor and an identifiable evidence base. In addition, considering the evidence provided, these tools may have the strongest potential for identifying performance capabilities and guiding exercise prescription in athletic and sport-specific populations.

Developing a dance movement therapy approach to qualitatively analyzing interview data

The objective of the study was to develop a model for an embodied-artistic approach to qualitatively analyzing interview data that could contribute to an enhanced narrative account and/or offer an alternate perspective. A new model was formulated by adapting and/or critically applying a combination of previously developed analytical frameworks. Dance/movement therapy (DMT) skills that encompass ways of listening through an embodied, empathic, aesthetic manner; and a movement observation and assessment tool, Laban Movement Analysis (LMA) were at the core of this explicatory process. The researcher’s movement preferences were identified in the preparatory phase with a certified movement analyst (CMA). Interviews were conducted with two subsets of dance/movement therapists (N=6) to: (a) develop the approach in the induction phase (n=3); and (b) test the approach in the validation phase (n=3). In the induction phase, the video footage of the dances was shared with a CMA and the participants for peer review, and the approach was revised. In the validation phase, the revised model was tested with a different subset of dance/movement therapists. The findings that are shared pertain to the evaluation of the method rather than the outcome of the study that was conducted concurrently as part of explicating the method.

移動援助動作アセスメント (TAMA) ツールを用いた看護師の腰部負担の評価

移動援助動作アセスメント (TAMA) ツールを用いた看護師の腰部負担の評価

The social construction of ability in movement assessment tools

ABSTRACTThis paper focuses on how ‘ability’ is conceptualised, configured and produced in movement assessment tools. The aim of the study was to critically analyse assessment tools used for healthy and typically developed children. The sample consists of 10 tools from 6 different countries. In the study, we pay special attention to content and evaluation methods. The theoretical analysis explores and discusses what kind of movement ability the tools construct. The theoretical framework is inspired by Bourdieu's concepts of habitus, capital and field which are used as analytical tools to explore how the testing processes and content shape what is regarded as ability. Our findings show both a great variation of concepts and evaluation methods and a narrow view of what is regarded as valuable to assess. The assessed movements are strongly related to traditional sports and construct a specific form of physical capital. None of the tasks assessed take place in natural outdoor environments. Open skills, rhythmical movements to music or tasks including a wider range of flexibility are also absent in the assessment tools. The explored tools and tests assess a limited number of decontextualised movements and produce a narrow view of ‘ability’. Hence, the testing process itself often promotes a child who is physically mature and benefits those who have experience of traditional sports. In other words, the assessed ‘taste for sport’ and the ‘embodied physical capital’ construct what is considered to be legitimate knowledge in relation to movement and physical culture. Accordingly, the social construction of movement ability through assessment tools is far from a neutral concept and could affect how children see themselves and their ‘ability’.