Spelling suggestions: "subject:"ankle sprains."" "subject:"ankle forains.""
1 |
Ankle sprains an investigation into patient perceptions and performance of physical tasks following acute ankle sprains using a mixed methods approach : a thesis submitted to Auckland University of Technology in partial fulfilment of the requirements for the degree of Doctor of Health Science (DHSc), 2009 /Larmer, Peter January 2009 (has links)
Thesis (DHSc)--AUT University, 2009. / Includes bibliographical references. Also held in print (xv, 281 leaves : ill. ; 30 cm.) in the Archive at the City Campus (T 617.584 LAR)
|
2 |
The effects of strength training on force sense and st[r]ength development in individuals with functional ankle instabilitySmith, Brent Irvin. January 2006 (has links)
Thesis (M.S.)--Indiana University, 2006. / Includes bibliographical references. Also available online (PDF file) by a subscription to the set or by purchasing the individual file.
|
3 |
The effects of strength training on force sense and stength [sic] development in individuals with functional ankle instabilitySmith, Brent Irvin. January 2006 (has links)
Thesis (M.S.)--Indiana University, Dept. of Kinesiology, 2006.
|
4 |
An evaluation of eccentric strength deficits in patients with functional ankle instabilityFox, Jason G. January 2005 (has links)
Thesis (M.S.)--Indiana University, Dept. of Kinesiology, 2005. / Includes bibliographical references.
|
5 |
An evaluation of eccentric strength deficits in patients with functional ankle instabilityFox, Jason G. January 2005 (has links)
Thesis (M.S.)--Indiana University, 2005. / Includes bibliographical references. Also available online (PDF file) by a subscription to the set or by purchasing the individual file.
|
6 |
3-D analysis of a functional reach test in subjects with functional ankle instabilityDe La Motte, Sarah J. January 1900 (has links)
Thesis (Ph.D.)--Virginia Commonwealth University, 2008. / Prepared for: Division of Health, Physical Education and Recreation. Title from title-page of electronic thesis. Bibliography: leaves 136-143.
|
7 |
The effects of a low-cost 4-week progressive proprioception training program for the ankle on postural sway in healthy individualsHubbard, Megan. January 2006 (has links)
Thesis (M.S.)--Indiana University, 2006. / Includes bibliographical references.
|
8 |
The effects of a low-cost 4-week progressive proprioception training program for the ankle on postural sway in healthy individualsHubbard, Megan. January 2006 (has links)
Thesis (M.S.)--Indiana University, 2006. / Includes bibliographical references. Also available online (PDF file) by a subscription to the set or by purchasing the individual file.
|
9 |
A comparison of athletic tape and the cloth wrap in restricting ankle supination during a maximal vertical jump /Childs, Shannon. January 1900 (has links)
Thesis (M.S.)--Humboldt State University, 2007. / Includes bibliographical references (leaves 30-34). Also available via Humboldt Digital Scholar.
|
10 |
Clinical Predictors of Movement Patterns in Patients with Chronic Ankle InstabilitySon, Seong Jun 01 December 2017 (has links)
BACKGROUND: Chronic ankle instability (CAI) patients have varying levels of mechanical and sensorimotor impairments that may lead to disparate functional movement patterns. Current literature on landing biomechanics in a CAI population, however, considers all patients as a homogeneous group. In our prior work, we identified 6 subgroups of movement patterns using lower extremity kinematics during a landing/cutting task and that showed promise in furthering understanding of movement patterns in a laboratory-based environment. To increase the utility of this methodology in clinical settings, there is a need to find easily administered clinical tests that can help identify multiple subgroups of movement patterns in a CAI population. The purpose of the present study was to identify clinical tests that would help identify frontal and sagittal kinematic movement pattern subgroups during a landing/cutting task. We hypothesized that clinical tests would help predict group assignment; which CAI patient is assigned to frontal and sagittal kinematic movement pattern subgroups, respectively. METHODS: We recruited 100 CAI patients from a university population. We used three-dimensional instrumented motion analysis to capture ankle, knee and hip kinematics as subjects performed a single-leg maximal jump landing/cutting task. We used sagittal and frontal joint angle waveforms to group CAI patients. We then used 12 demographic and clinical measures to predict these subgroups of CAI. These consisted of gender, Star Excursion Balance Test-Anterior (SEBT-ANT), Biodex static balance, figure 8 hop, triple crossover hop, dorsiflexion range of motion (DFROM), number of failed trials, body mass index, a score of Foot and Ankle Ability Measure-Activities of Daily Living (FAAM-ADL), a score of FAAM-Sports, number of "yes" responses on Modified Ankle Instability Index, and number of previous ankle sprains. First, we used functional principal component analysis to create representative curves for each CAI patient and plane from the 3 lower extremity joint angles. We then used these curves as inputs to a predictor-dependent product partition model to cluster each CAI patient to unique subgroups. Finally, we used a multinomial prediction model to examine the accuracy of predicting group membership from demographic and clinical metrics. RESULTS: The predictor-dependent product partition model identified 4 frontal and 5 sagittal movement pattern subgroups. Six predictors (e.g., gender, SEBT-ANT, figure 8 hop, triple crossover hop, DFROM, and FAAM-ADL) predicted group membership with 55.7% accuracy for frontal subgroups. Ten predictors (minus Biodex static balance and number of previous ankle sprains) predicted group membership with 59% accuracy for sagittal subgroups. CONCLUSION: Novel statistical analyses allowed us to predict group membership for multiple frontal and sagittal kinematic movement patterns during landing/cutting using a series of clinical predictors. However, due to relatively lower accuracy (56–59% accuracy), the clinical utility of the current prediction model may be limited. Future work should consider including other clinical predictors to maximize prediction accuracy for identifying multiple kinematic movement patterns during a landing/cutting task.
|
Page generated in 0.0288 seconds