Realiability during maximal isometric shoulder rotation strength

Nueva publicación de nuestros compañeros de la Red Pleokinetic correspondiente a uno de los trabajos desarrollado en el "Human Movement Analysis Laboratory" de la Pontificia Universidad Catolica de Chile.

Claudio Chamorro, Carlos De la Fuente y Daniel Jérez (2018). The size of analysis: a source of error affecting realibility during maximal isometric shoulder rotation strength test-retest. JOJ Nursing & Heald Care.

Abstract

Background: The manner of acquiring strength-testing data may influence peak torque detection and reliability of results in test- retest studies. Objective: To examine the effects of differing window thresholds on shoulder internal (IR) and external (ER) isometric peak torque, standard error of measurements (SEM) and minimal detectable change (MDC) in a test-retest study. Methods: thirty asymptomatic young adults completed dominant shoulder IRI and ER isometric testing using REV 7000. IR and ER were randomly tested twice in 90° of shoulder abduction in supine position. Raw torque was processed using Mat lab 2014b software that computed peak torque at four window thresholds: no window, 75%, 50%, and 25%. Results: One way ANOVA and Bonferroni post hoc test showed similar results in peak torque assessment considering windowing and not windowing data. SEM obtained varied according to the window size considered. Lower SEM and MDC were registered when 50% and 25% central data were considered for ER peak torque. There were no variation considering windows sizing for IR peak torque. Conclusion: Windowing data has to be considered in test-retest peak torque to improve reliability of results. Based on these results we recommend windowing at least 50% central data in ER peak torque assessment.

Keywords: Muscle Dynamometry; Reliability of Results; Shoulder Rotators; Peak Torque; Windows

Abbreviations: ER: External Rotators; IR: Internal Rotators; MDC: Minimal Detectable Change; SEM: Standard Error of Measurements; SPADI: Shoulder Pain and Disability Index.