Development and evaluation of the ARM algorithm: A novel approach to quantify musculoskeletal disorder risk factors in manual wheelchair users in the real world.

This study aimed to develop and evaluate the ARM (arm repetitive movement) algorithm using inertial measurement unit (IMU) data to assess repetitive arm motion in manual wheelchair (MWC) users in real-world settings. The algorithm was tested on community data from four MWC users with spinal cord injury and compared with video-based analysis. Additionally, the algorithm was applied to in-home and free-living environment data from two and sixteen MWC users, respectively, to assess its utility in quantifying differences across activities of daily living and between dominant and non-dominant arms. The ARM algorithm accurately estimated active and resting times (>98%) in the community and confirmed asymmetries between dominant and non-dominant arm usage in in-home and free-living environment data. Analysis of free-living environment data revealed that the total resting bout time was significantly longer (P = 0.049) and total active bout time was significantly shorter (P = 0.011) for the non-dominant arm. Analysis of active bouts longer than 10 seconds showed higher total time (P = 0.015), average duration (P = 0.026), and number of movement cycles per bout (P = 0.020) for the dominant side. These findings support the feasibility of using the IMU-based ARM algorithm to assess repetitive arm motion and monitor shoulder disorder risk factors in MWC users during daily activities.

From theory to practice: Monitoring mechanical power output during wheelchair field and court sports using inertial measurement units.

An important performance determinant in wheelchair sports is the power exchanged between the athlete-wheelchair combination and the environment, in short, mechanical power. Inertial measurement units (IMUs) might be used to estimate the exchanged mechanical power during wheelchair sports practice. However, to validly apply IMUs for mechanical power assessment in wheelchair sports, a well-founded and unambiguous theoretical framework is required that follows the dynamics of manual wheelchair propulsion. Therefore, this research has two goals. First, to present a theoretical framework that supports the use of IMUs to estimate power output via power balance equations. Second, to demonstrate the use of the IMU-based power estimates during wheelchair propulsion based on experimental data. Mechanical power during straight-line wheelchair propulsion on a treadmill was estimated using a wheel mounted IMU and was subsequently compared to optical motion capture data serving as a reference. IMU-based power was calculated from rolling resistance (estimated from drag tests) and change in kinetic energy (estimated using wheelchair velocity and wheelchair acceleration). The results reveal no significant difference between reference power values and the proposed IMU-based power (1.8% mean difference, N.S.). As the estimated rolling resistance shows a 0.9-1.7% underestimation, over time, IMU-based power will be slightly underestimated as well. To conclude, the theoretical framework and the resulting IMU model seems to provide acceptable estimates of mechanical power during straight-line wheelchair propulsion in wheelchair (sports) practice, and it is an important first step towards feasible power estimations in all wheelchair sports situations.

Investigating the challenges of air travel in the United States: a qualitative study of the lived experiences of wheelchair users with spinal cord injury or disorder.

STUDY DESIGN: Qualitative exploratory study. OBJECTIVES: To understand the lived experiences of individuals with spinal cord injuries or disorders (SCI/D) who use wheelchairs during air travel in the United States (US), with a focus on the challenges and barriers to accessing this form of transportation. SETTING: Wheelchair users with SCI/D living in the community in the US. METHODS: Semi-structured interviews were used to collect data from six wheelchair users with SCI/D. Data were analyzed using a six-step thematic analysis. RESULTS: Experiences of wheelchair users during air travel clustered into three themes; experiences interacting with the airport, experiences interacting with the airplane, and experiences across all stages of air travel. Barriers to airport accessibility were minimal. Physical barriers to airplane accessibility and damage to wheelchairs occurred when interacting with the airplane and airline staff. Undertrained staff and a shift in responsibility to the passenger with a disability impacted all stages of the experience. CONCLUSION: Wheelchair users with SCI/D encounter challenges that can result in unsafe and inaccessible air travel within the US. Adverse consequences of air travel often impact the individual's independence and quality of life during and after the flight. Participants provided recommendations to improve the air travel experience for wheelchair users, including the ability to remain in one's wheelchair while onboard the airplane.

The effects on sports performance of technologic advances in sports prostheses and wheelchairs.

The field of medicine continues to advance as new technologies emerge. These technological advancements include the science of sports prostheses and wheelchairs, in which there have been significant advancements over the past decades. The world of adaptive sports continues to expand, largely due to a combination of the increase in awareness, inclusion, and technology. As participation in sports for people with impairments increases, there has been an associated demand for new, innovative adaptive sporting equipment designs that help accommodate the physical deficits of the individual. Controversy has risen as persons with disabilities advance their skills with adaptive sports equipment to compete with individuals without disabilities. The controversy leads to the question: is the adaptive equipment allowing athletes with disability to regain the lost function from their baseline or does it allow them to exceed prior ability level? This narrative review provides information regarding the performance effects of advances in technology and biomechanics of adaptive sports equipment to help answer these questions.

An autonomous wheelchair with health monitoring system based on Internet of Thing.

Assistive powered wheelchairs will bring patients and elderly the ability of remain mobile without the direct intervention from caregivers. Vital signs from users can be collected and analyzed remotely to allow better disease prevention and proactive management of health and chronic conditions. This research proposes an autonomous wheelchair prototype system integrated with biophysical sensors based on Internet of Thing (IoT). A powered wheelchair system was developed with three biophysical sensors to collect, transmit and analysis users' four vital signs to provide real-time feedback to users and clinicians. A user interface software embedded with the cloud artificial intelligence (AI) algorithms was developed for the data visualization and analysis. An improved data compression algorithm Minimalist, Adaptive and Streaming R-bit (O-MAS-R) was proposed to achieve a higher compression ratio with minimum 7.1%, maximum 45.25% compared with MAS algorithm during the data transmission. At the same time, the prototype wheelchair, accompanied with a smart-chair app, assimilates data from the onboard sensors and characteristics features within the surroundings in real-time to achieve the functions including obstruct laser scanning, autonomous localization, and point-to-point route planning and moving within a predefined area. In conclusion, the wheelchair prototype uses AI algorithms and navigation technology to help patients and elderly maintain their independent mobility and monitor their healthcare information in real-time.

[Satisfaction of wheelchair users in the Baixada Santista Metropolitan Region]. / Satisfação dos usuários de cadeiras de rodas da Região Metropolitana da Baixada Santista.

This article seeks to identify user satisfaction in relation to wheelchairs and the provision of public and private health services in the Baixada Santista Metropolitan Region. It involved a cross-sectional study with a quantitative approach. Participants answered a sociodemographic questionnaire and the Brazilian version of the Quebec Assistive Technology User Satisfaction Assessment. Data were analyzed using descriptive and comparative statistics by means of Student's t test. Cohen's d effect sizes were also calculated. Participants (n = 42) were "more or less satisfied" with the wheelchairs and "quite satisfied" with the services provided. Rigid frame wheelchair users were significantly more satisfied with their wheelchairs compared to users of wheelchairs weighing over 198 lbs. (p = 0.010, d = 1.04). Users of private services showed significantly greater satisfaction with the provision of the service compared to public services users (p = 0.021, d = 0.75). Wheelchair users in the Baixada Santista Metropolitan Region are more satisfied with the rigid frame wheelchair and less satisfied with public services.

O objetivo deste artigo é identificar a satisfação dos usuários em relação às cadeiras de rodas e à prestação de serviços públicos e privados de saúde da Região Metropolitana da Baixada Santista. Estudo transversal com abordagem quantitativa. Os participantes responderam a um questionário sociodemográfico e à versão brasileira do Quebec Assistive Technology User Satisfaction Assessment. Os dados foram analisados utilizando a estatística descritiva e comparativa por meio do teste t de Student. Os tamanhos de efeito d de Cohen foram calculados. Os participantes (n = 42) estavam "mais ou menos satisfeitos" com as cadeiras de rodas e "pouco satisfeitos" com a prestação de serviços. Os usuários de cadeiras de rodas monobloco apresentaram satisfação significativamente maior com suas cadeiras em comparação com usuários de cadeiras de rodas acima de 90kg (p = 0,010, d = 1,04). Os usuários de serviços privados apresentaram satisfação significativamente maior com a prestação de serviço em comparação aos usuários de serviços públicos (p = 0,021, d = 0,75). Os usuários de cadeiras de rodas da Região Metropolitana da Baixada Santista estão mais satisfeitos com as cadeiras de rodas monobloco e menos satisfeitos com os serviços públicos.

Physical Fitness Parameters of Elite Chinese Wheelchair Curlers / Parámetros de Aptitud Física de Curlers en Silla de Ruedas Chinos de Élite

SUMMARY: Few international studies have analyzed the characteristics of elite wheelchair curlers competing on the international stage. This study aims to investigate the physical fitness parameters of elite Chinese wheelchair curlers and explore the corresponding training enlightenment. Sixteen wheelchair curlers from the Chinese national team, including six male and two female Winter Paralympic gold medalists, were selected as research participants. The following parameters were measured: age, training age, height, weight, body fat percentage, grip strength, absolute bench press strength, and 5-km wheelchair push-timing test. Compared with ordinary curlers of the Chinese wheelchair curling team, elite curlers were older in age and training age; male curlers were shorter, whereas female curlers were taller. However, their weight and body fat percentage were lower, and their grip strength, absolute strength in the bench press, and 5-k wheelchair push-timing test were better. From an athlete development and physical training perspective, wheelchair curlers should increase training years in order to accumulate competition experience. Additionally, these athletes should manage their body weight and fat percentage, and improve their upper limb strength and aerobic capacity.

Pocos estudios internacionales han analizado las características de los curlers en silla de ruedas de élite que compiten en el escenario internacional. Este estudio tiene como objetivo investigar los parámetros de aptitud física de los bigudíes chinos en silla de ruedas de élite y explorar la iluminación del entrenamiento correspondiente. Se seleccionaron como participantes de la investigación dieciséis curlers en silla de ruedas del equipo nacional chino, incluidos seis medallistas de oro masculinos y dos femeninos de los Juegos Paralímpicos de Invierno. Se midieron los siguientes parámetros: edad, edad de entrenamiento, altura, peso, porcentaje de grasa corporal, fuerza de agarre, fuerza absoluta en press de banca y prueba de sincronización de empuje en silla de ruedas de 5 km. En comparación con los curlers ordinarios del equipo chino de curling en silla de ruedas, los curlers de élite eran mayores en edad y tiempo de entrenamiento; Los curlers masculinos eran más bajos, mientras que las mujeres eran más altas. Sin embargo, su peso y porcentaje de grasa corporal fueron menores, y su fuerza de agarre, fuerza absoluta en press de banca y prueba de sincronización de empuje en silla de ruedas de 5-k fueron mejores. Desde la perspectiva del desarrollo del atleta y del entrenamiento físico, los curlers en silla de ruedas deberían aumentar los años de entrenamiento para acumular experiencia en competencia. Además, estos deportistas deben controlar su peso corporal y porcentaje de grasa, y mejorar la fuerza de sus miembros superiores y su capacidad aeróbica.

How Integration of a Brain-Machine Interface and Obstacle Detection System Can Improve Wheelchair Control via Movement Imagery.

This study presents a human-computer interaction combined with a brain-machine interface (BMI) and obstacle detection system for remote control of a wheeled robot through movement imagery, providing a potential solution for individuals facing challenges with conventional vehicle operation. The primary focus of this work is the classification of surface EEG signals related to mental activity when envisioning movement and deep relaxation states. Additionally, this work presents a system for obstacle detection based on image processing. The implemented system constitutes a complementary part of the interface. The main contributions of this work include the proposal of a modified 10-20-electrode setup suitable for motor imagery classification, the design of two convolutional neural network (CNNs) models employed to classify signals acquired from sixteen EEG channels, and the implementation of an obstacle detection system based on computer vision integrated with a brain-machine interface. The models developed in this study achieved an accuracy of 83% in classifying EEG signals. The resulting classification outcomes were subsequently utilized to control the movement of a mobile robot. Experimental trials conducted on a designated test track demonstrated real-time control of the robot. The findings indicate the feasibility of integration of the obstacle detection system for collision avoidance with the classification of motor imagery for the purpose of brain-machine interface control of vehicles. The elaborated solution could help paralyzed patients to safely control a wheelchair through EEG and effectively prevent unintended vehicle movements.

Intelligent systems for sitting posture monitoring and anomaly detection: an overview.

The number of people who need to use wheelchair for proper mobility is increasing. The integration of technology into these devices enables the simultaneous and objective assessment of posture, while also facilitating the concurrent monitoring of the functional status of wheelchair users. In this way, both the health personnel and the user can be provided with relevant information for the recovery process. This information can be used to carry out an early adaptation of the rehabilitation of patients, thus allowing to prevent further musculoskeletal problems, as well as risk situations such as ulcers or falls. Thus, a higher quality of life is promoted in affected individuals. As a result, this paper presents an orderly and organized analysis of the existing postural diagnosis systems for detecting sitting anomalies in the literature. This analysis can be divided into two parts that compose such postural diagnosis: on the one hand, the monitoring devices necessary for the collection of postural data and, on the other hand, the techniques used for anomaly detection. These anomaly detection techniques will be explained under two different approaches: the traditional generalized approach followed to date by most works, where anomalies are treated as incorrect postures, and a new individualized approach treating anomalies as changes with respect to the normal sitting pattern. In this way, the advantages, limitations and opportunities of the different techniques are analyzed. The main contribution of this overview paper is to synthesize and organize information, identify trends, and provide a comprehensive understanding of sitting posture diagnosis systems, offering researchers an accessible resource for navigating the current state of knowledge of this particular field.

Finite Element Model of the Shoulder with Active Rotator Cuff Muscles: Application to Wheelchair Propulsion.

The rotator cuff is prone to injury, remarkably so for manual wheelchair users. To understand its pathomechanisms, finite element models incorporating three-dimensional activated muscles are needed to predict soft tissue strains during given tasks. This study aimed to develop such a model to understand pathomechanisms associated with wheelchair propulsion. We developed an active muscle model associating a passive fiber-reinforced isotropic matrix with an activation law linking calcium ion concentration to tissue tension. This model was first evaluated against known physiological muscle behavior; then used to activate the rotator cuff during a wheelchair propulsion cycle. Here, experimental kinematics and electromyography data was used to drive a shoulder finite element model. Finally, we evaluated the importance of muscle activation by comparing the results of activated and non-activated rotator cuff muscles during both propulsion and isometric contractions. Qualitatively, the muscle constitutive law reasonably reproduced the classical Hill model force-length curve and the behavior of a transversally loaded muscle. During wheelchair propulsion, the deformation and fiber stretch of the supraspinatus muscle-tendon unit pointed towards the possibility for this tendon to develop tendinosis due to the multiaxial loading imposed by the kinematics of propulsion. Finally, differences in local stretch and positions of the lines of action between activated and non-activated models were only observed at activation levels higher than 30%. Our novel finite element model with active muscles is a promising tool for understanding the pathomechanisms of the rotator cuff for various dynamic tasks, especially those with high muscle activation levels.

2024 Wheelchair Compendium of Physical Activities: An update of activity codes and energy expenditure values.

PURPOSE: This paper presents an update of the 2011 Wheelchair Compendium of Physical Activities designed for wheelchair users and is referred to as the 2024 Wheelchair Compendium. The Wheelchair Compendium aims to curate existing knowledge of the energy expenditure for wheelchair physical activities (PAs). METHODS: A systematic review of the published energy expenditure of PA for wheelchair users was completed between 2011 and May 2023. We added these data to the 2011 Wheelchair Compendium data that was compiled previously in a systematic review through 2011. RESULTS: A total of 47 studies were included, and 124 different wheelchair PA reported energy expenditure values ranging from 0.8 metabolic equivalents for wheelchair users (filing papers, light effort) to 11.8 metabolic equivalents for wheelchair users (Nordic sit skiing). CONCLUSION: In introducing the updated 2024 Wheelchair Compendium, we hope to bridge the resource gap and challenge the prevailing narratives that inadvertently exclude wheelchair users from physical fitness and health PAs.

Trunk and glenohumeral joint adaptations to manual wheelchair propulsion over a cross-slope: An exploratory study.

BACKGROUND: Cross-slopes are often encountered by manual wheelchair users propelling within an urban setting. While propulsion over cross-slopes is more difficult than on level surfaces, little is known about how the users counter the downhill turning tendency of the wheelchair over cross-slopes. This study aimed to identify the adaptations of the manual wheelchair users to the presence of cross-slopes and examine how these might impact shoulder injury. METHODS: Nine manual wheelchair users propelled themselves across a cross-slope and over a level surface. The trunk and glenohumeral joint kinematics, as well as the handrim contact tangential force were compared between both conditions for the uphill and downhill limbs. FINDINGS: The uphill arm technique used to counter the downhill turning tendency varied greatly in terms of potential injury risk and efficiency between participants. Trunk flexion increased the turning tendency of the manual wheelchair, yet only one participant decreased his flexion when rolling over the cross-slope. Various potential pathomecanisms related to the trunk lateral flexion and the glenohumeral kinematics over a cross-slope were identified. INTERPRETATION: Both the uphill arm technique and trunk kinematics are important to propel over a cross-slope both efficiently and safely. Accordingly, tips about posture and kinematics are needed to teach this skill to manual wheelchair users. Additionally, as wheelchair positioning seems to influence the cross-slope skill, more research is needed to explore the impact of positioning devices (e.g., lateral supports) and wheelchair modifications (e.g., power assist wheels, handrim projections) on this skill.

Differences in Glenohumeral Joint Contact Forces Between Recovery Hand Patterns During Wheelchair Propulsion With and Without Shoulder Muscle Weakness: A Simulation Study.

The majority of manual wheelchair users (MWCU) develop shoulder pain or injuries, which is often caused by impingement. Because propulsion mechanics are influenced by the recovery hand pattern used, the pattern may affect shoulder loading and susceptibility to injury. Shoulder muscle weakness is also correlated with shoulder pain, but how shoulder loading changes with specific muscle group weakness is unknown. Musculoskeletal modeling and simulation were used to compare glenohumeral joint contact forces (GJCFs) across hand patterns and determine how GJCFs vary when primary shoulder muscle groups are weakened. Experimental data were analyzed to classify individuals into four hand pattern groups. A representative musculoskeletal model was then developed for each group and simulations generated to portray baseline strength and six muscle weakness conditions. Three-dimensional GJCF peaks and impulses were compared across hand patterns and muscle weakness conditions. The semicircular pattern consistently had lower shear (anterior-posterior and superior-inferior) GJCFs compared to other patterns. The double-loop pattern had the highest superior GJCFs, while the single-loop pattern had the highest anterior and posterior GJCFs. These results suggest that using the semicircular pattern may be less susceptible to shoulder injuries such as subacromial impingement. Weakening the internal rotators and external rotators resulted in the greatest increases in shear GJCFs and decreases in compressive GJCF, likely due to decreased force from rotator cuff muscles. These findings suggest that strengthening specific muscle groups, especially the rotator cuff, is critical for decreasing the risk of shoulder overuse injuries.

Trunk motion influences mechanical power estimates during wheelchair propulsion.

In wheelchair sports, there is an increasing need to monitor mechanical power in the field. When rolling resistance is known, inertial measurement units (IMUs) can be used to determine mechanical power. However, upper body (i.e., trunk) motion affects the mass distribution between the small front and large rear wheels, thus affecting rolling resistance. Therefore, drag tests - which are commonly used to estimate rolling resistance - may not be valid. The aim of this study was to investigate the influence of trunk motion on mechanical power estimates in hand-rim wheelchair propulsion by comparing instantaneous resistance-based power loss with drag test-based power loss. Experiments were performed with no, moderate and full trunk motion during wheelchair propulsion. During these experiments, power loss was determined based on 1) the instantaneous rolling resistance and 2) based on the rolling resistance determined from drag tests (thus neglecting the effects of trunk motion). Results showed that power loss values of the two methods were similar when no trunk motion was present (mean difference [MD] of 0.6 ± 1.6 %). However, drag test-based power loss was underestimated up to -3.3 ± 2.3 % MD when the extent of trunk motion increased (r = 0.85). To conclude, during wheelchair propulsion with active trunk motion, neglecting the effects of trunk motion leads to an underestimated mechanical power of 1 to 6 % when it is estimated with drag test values. Depending on the required accuracy and the amount of trunk motion in the target group, the influence of trunk motion on power estimates should be corrected for.

The Push Forward in Rehabilitation: Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type.

Within rehabilitation, there is a great need for a simple method to monitor wheelchair use, especially whether it is active or passive. For this purpose, an existing measurement technique was extended with a method for detecting self- or attendant-pushed wheelchair propulsion. The aim of this study was to validate this new detection method by comparison with manual annotation of wheelchair use. Twenty-four amputation and stroke patients completed a semi-structured course of active and passive wheelchair use. Based on a machine learning approach, a method was developed that detected the type of movement. The machine learning method was trained based on the data of a single-wheel sensor as well as a setup using an additional sensor on the frame. The method showed high accuracy (F1 = 0.886, frame and wheel sensor) even if only a single wheel sensor was used (F1 = 0.827). The developed and validated measurement method is ideally suited to easily determine wheelchair use and the corresponding activity level of patients in rehabilitation.

Family-Professional Collaboration on Modified Ride-on Car Intervention for Young Children: Two Case Reports.

AIMS: The study aimed to describe the implementation of a collaborative ride-on car (ROC) intervention by applying a practice model of family-professional collaboration. The model involves specific strategies for collaboration, "visualizing a preferred future" and "scaling questions." METHODS: The participants were two young children with mobility limitations and their mothers. The 12-week of ROC intervention involved training sessions with a therapist and home sessions. The outcomes included the Canadian Occupational Performance Measure (COPM) and Goal Attainment Scaling (GAS). RESULTS: The collaborative strategies facilitated parent engagement in goal setting, planning, and evaluation. After the intervention, the mothers' ratings of their children's performance and parent satisfaction on the COPM increased by 6 and 3 points, respectively, and the level of goal attainment exceeded expectations (+1 on GAS) in both families. Prior to the ROC intervention, both families were hesitant to use powered mobility. However, the experience of participating in the ROC intervention process broadened parents' perspectives on self-directed mobility and led them to explore options for their children to move independently. CONCLUSIONS: The collaborative ROC intervention can be used as an intervention for early mobility and a bridging step for families reluctant to use a powered wheelchair.

Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals.

Wheelchairs are one of the most popular assistive technology (AT) among individuals with motor impairments due to their comfort and mobility. People with finger problems may find it difficult to operate wheelchairs using the conventional joystick control method. Therefore, in this research study, a hand gesture-based control method is developed for operating an electric-powered wheelchair (EPW). This study selected a comfort-based hand position to determine the stop maneuver. An additional exploration was undertaken to investigate four gesture recognition methods: linear regression (LR), regularized linear regression (RLR), decision tree (DT), and multi-class support vector machine (MC-SVM). The first two methods, LR and RLR, have promising accuracy values of 94.85% and 95.88%, respectively, but each new user must be trained. To overcome this limitation, this study explored two user-independent classification methods: MC-SVM and DT. These methods effectively addressed the finger dependency issue and demonstrated remarkable success in recognizing gestures across different users. MC-SVM has about 99.05% of both precision and accuracy, and the DT has about 97.77% accuracy and precision. All six participants were successful in controlling the EPW without any collisions. According to the experimental results, the proposed approach has high accuracy and can address finger dependency issues.

Initial Maximum Push-Rim Propulsion and Sprint Performance in Elite Men's Wheelchair Basketball.

OBJECTIVES: This study sought to report the reliability (intrasession) values of initial maximum push-rim propulsion (IMPRP) and sprint performance in elite wheelchair basketball (WB) players and to assess the involvement of strength in sprint capacity. METHODS: Fifteen Spanish international WB male players participated in this study. The maximum single wheelchair push from a stationary position (IMPRP) and the sprint performance (ie, 3, 5, and 12 m) of WB players were measured in this study. RESULTS: IMPRP mechanical outputs V, Vmax, P, Rel. P, F, and Rel. F variables presented high reliability values (intraclass correlation coefficient [ICC] ≥ .92; coefficient of variation [CV] ≤ 8.04 ± 7.37; standard error of measurement [SEM] ≤ 29.92), but the maximum strength variables Pmax, Rel. Pmax, Fmax, and Rel. Fmax (ICC ≥ .63; CV ≤ 13.19 ± 16.63; SEM ≤ 203.76) showed lower ICC values and by contrast higher CV and SEM values. The most substantial correlations were identified between maximum IMPRP values (ie, V, Vmax, P, Rel. P, F, and Rel. F) and sprint performance in 3 m (r ± confidence limits ≥ -0.74 ± 0.22, very large; R2 ≥ .55), 5 m (r ± confidence limits ≥ -0.72 ± 0.24, very large; R2 ≥ .51), and 12 m (r ± confidence limits ≥ -0.67 ± 0.27, large; R2 ≥ .44). CONCLUSIONS: The IMPRP test and sprint tests (3, 5, and 12 m) are practical and reliable for measuring strength and speed in WB players. In addition, there were large to very large associations among strength variables (ie, P, Rel. P, F, and Rel. F) and all sprint variables. This could indicate a need to implement specific strength exercises in WB players to improve sprint capacity.

School-Based Therapists' Perspectives of Wheelchair Use in US Schools: A Survey Study.

PURPOSE: To gather information concerning the current state of students' wheelchair (WC) use in US schools from the perspective of school-based therapists. METHODS: This descriptive study used a Web-based survey to gather information regarding factors that facilitated or hindered student WC use at school, the frequency at which various tasks related to WC provision were performed, and factors that would facilitate students' independence with WC use. RESULTS: A dependent manual WC was the most common type of WC mobility used at school. Various student and nonstudent factors were reported as a facilitator or a barrier to students' WC use at school. CONCLUSIONS: Although most respondents reported working with a student who used a WC, few reported active engagement in tasks related to WC service provision. Future research exploring potential attitudinal issues influencing students' WC use at school and ways to optimally support students' independent WC use is indicated.