• Ross Armstrong and Matt Greig.
• Department of Sport and Physical Activity, Sports Injuries Research Group, Edge Hill University, Ormskirk, Lancashire L39 4QP England, United Kingdom. Electronic address: armsross@edgehill.ac.uk.
• Phys Ther Sport. 2018 May 1; 31: 15-21.

ObjectivesAgility is a functional requirement of many sports, challenging stability, and commonly cited as a mechanism of injury. The Functional Movement Screen (FMS) and modified Star Excursion Balance Test (mSEBT) have equivocally been associated with agility performance. The aim of the current study was to establish a hierarchical ordering of FMS and mSEBT elements in predicting T-test agility performance.DesignCross-sectional study design.SettingUniversity.ParticipantsThirty-two female rugby players, 31 male rugby players and 39 female netballers MAIN OUTCOME MEASURES: FMS, mSEBT, T-test performance.ResultsThe predictive potential of composite FMS and mSEBT scores were weaker than when discrete elements were considered. FMS elements were better predictors of T-test performance in rugby players, whilst mSEBT elements better predicted performance in netballers. Hierarchical modelling highlighted the in-line lunge (ILL) as the primary FMS predictor, whereas mSEBT ordering was limb and sport dependent.ConclusionsThe relationship between musculoskeletal screening tools and agility performance was sport-specific. Discrete element scores are advocated over composite scores, and hierarchical ordering of tests might highlight redundancy in screening. The prominence of the ILL in hierarchical modelling might reflect the functional demands of the T-test. Sport-specificity and limb dominance influence hierarchical ordering of musculoskeletal screens.Copyright © 2018 Elsevier Ltd. All rights reserved.

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