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Anat V. Lubetzky, Bryan D. Hujsak, Gene Fu and Ken Perlin

Postural sway does not differentiate between balance disorders. Head kinematics within a salient, immersive environment could potentially help identifying movement patterns that are unique to vestibular dysfunction. We describe a virtual park scene, where participants are asked to avoid a virtual ball approaching their head, to target dynamic balance and quantify head movement strategy. Sixteen patients with vestibular dysfunction and 16 healthy controls were wearing the Oculus Rift and performed the “park” scene on floor and stability trainers. Significant between-group differences emerged in head path (patients rotated their head sideways more), head acceleration (controls had higher acceleration, especially on translation movements), and peak frequency (controls peaked around the frequency of the ball whereas patients were variable). Those findings demonstrated good to excellent test–retest reliability. There were no significant between-group differences in postural sway parameters. Future studies should establish norms across different levels of balance dysfunction and investigate the underlying mechanism leading to the movement strategy observed.

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Simona Bar-Haim, Ronit Aviram, Anat Shkedy Rabani, Akram Amro, Ibtisam Nammourah, Muhammed Al-Jarrah, Yoav Raanan, Jack A. Loeppky and Netta Harries

and motor function in adolescents and young adults with CP, and then measure and correlate the changes in HPA and motor function induced by exercise interventions in the same population. Mobility measures and 4-day averages of HPA by accelerometer were obtained before (T1) and after (T2) 4-month

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Debra J. Rose, C. Jessie Jones and Nicole Lucchese

The purpose of this study was to determine whether performance on the 8-ft up-and-go test (UG) could discriminate between older adult fallers (n = 71) and nonfallers (n = 63) and whether it would be as sensitive and specific a predictor of falls as the timed up-and-go test (TUG). Performance on the UG was significantly different between the recurrent faller and nonfaller groups (p < .01), as was performance on the TUG (p < .001). Older adults who required 8.5 s or longer to complete the UG were classified as fallers, with an overall prediction rate of 82%. The specificity of the test was 86% and the sensitivity was 78%. Conversely, the overall prediction rate for older adults who completed the TUG in 10 s or longer was 80%. The specificity of the TUG was 86% and the sensitivity was 71%.

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Thomas M. Maden-Wilkinson, Jamie S. McPhee, David A. Jones and Hans Degens

To investigate reasons for the age-related reduction in physical function, we determined the relationships between muscle size, strength, and power with 6-min walk distance (6MWD) and timed up-and-go performance in 49 young (23 ± 3.1 years) and 66 healthy, mobile older adults (72 ± 5 years). While muscle mass, determined by DXA and MRI, did not correlate with performance in the older adults, power per body mass, determined from a countermovement jump, did correlate. The 40% lower jumping power observed in older adults (p < .05) was due to a lower take-off velocity, which explained 34% and 42% of the variance in 6MWD in older women and men, respectively (p < .01). The lower velocity was partly attributable to the higher body mass to maximal force ratio, but most was due to a lower intrinsic muscle speed. While changes in muscle function explain part of the age-related reduction in functional performance, ~60% of the deficit remains to be explained.

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Federico Jose Villalba and Melina Soledad Martínez

Horizontal adduction, ° –30 24 American Shoulder and Elbow Surgeons 41.66 Tampa Scale of Kinesiophobia 25 Pain Catastrophizing Scale 9 Euro-QoL 1.2.2.2.1 – 80% *With pain (8/10). kgf = kilogram force. Intervention After the initial evaluation, we began treatment based on exercises of thoracic mobility

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Rienk M.A. van der Slikke, Daan J.J. Bregman, Monique A.M. Berger, Annemarie M.H. de Witte and Dirk-Jan (H.) E.J. Veeger

unobstructive way. 8 This method quantifies the wheelchair mobility performance, that is, the ability to maneuver the wheelchair. This measure of the wheelchair–athlete combination is one of the most important performance aspects 9 contributing to overall game performance as described by Byrnes et al. 10 In

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Margaret Delaney, Meghan Warren, Brian Kinslow, Hendrik de Heer and Kathleen Ganley

Health Promotion, 2008b ). Although it is known that a relationship exists between physical activity and disability, the current study aims to quantify this relationship using the U.S. guidelines and self-reported disability in mobility tasks, ADLs, and social participation. Therefore, the purpose of

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Andrew F. Clark, Joannah Campbell, Patricia Tucker, Piotr Wilk and Jason A. Gilliland

accessibility, including mobility options (ie, geographic and economic), spatial awareness (ie, geographic and information), and opportunity awareness (ie, information and economic). Figure 1 —Theoretical outline of the physical activity accessibility model. Information accessibility is defined as the amount

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Elissa Burton, Karen Levit, Jim Codde, Keith D. Hill and Anne-Marie Hill

walk test and timed up and go test (TUG; Burton et al., 2018 ). The 6-min walk test is used to determine whether aerobic endurance has changed, and the TUG is used to determine balance and mobility. It must be noted that only two interventions were conducted within or partly in the home. Iliffe et al

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Kornelius Kraus, Elisabeth Kraus, Boris Gojanovic and Francois Fourchet

, although sophisticated devices, such as inclinometers, are available. In team sports or military cohorts, practitioners may apply test batteries that incorporate flexibility or mobility tasks to evaluate individual joint ROM or muscle length, and time availability is one of the key limiting factors. 4 – 6