David M. Werner
University of Dayton
9 Papers
16 Citations
David M. Werner is an academic researcher from University of Dayton. The author has contributed to research in topics: Medicine & Anterior cruciate ligament. The author has an hindex of 3, co-authored 7 publications.
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Papers
Test-retest reliability and minimum detectable change for various frontal plane projection angles during dynamic tasks.
TL;DR: This study identified between-day test-retest reliability metrics for 2-dimensional FPPAs across a variety of body regions during commonly assessed clinical tasks to allow clinicians and researchers to more confidently assess true change between assessments or over time.
21
Environmental Risk Factors for Osteoarthritis: The Impact on Individuals with Knee Joint Injury.
TL;DR: In this paper , a review of non-modifiable and modifiable risk factors for osteoarthritis with particular focus on individuals after anterior cruciate ligament injury is presented.
14
2d and 3d kinematics during lateral step-down testing in individuals with anterior cruciate ligament reconstruction.
TL;DR: Results suggest that visually-assessed quality of movement is associated with several kinematic variables after ACLR, and interventions targeting hip abductor and knee extensor strength and neuromuscular control may be useful in the presence of poorquality of movement during lateral step-down testing.
12
Trunk Muscle Endurance in Individuals With and Without a History of Anterior Cruciate Ligament Reconstruction.
TL;DR: The results of this study suggest that contemporary rehabilitation schemes after ACLR do not fully address trunk endurance deficits, and health care professionals delivering postoperative rehabilitation after ACLr may consider direct assessment of trunk endurance and targeted exercise training to address potential deficits.
12
In-Line Half-Kneeling as a Motor Control Test of Core Stability: Known-Groups Validity and Reliability.
TL;DR: The in-line half-kneeling test is a reliable test between raters that can differentiate between groups expected to differ in MCCS.