Can Functional Movement Screen Test Predict Nonstructural Scoliosis in University Girl Students?

Document Type : Original Articles


1 PhD Student, Department of Sport Medicine and Health, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran

2 Professor, Department of Sport Medicine and Health, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran

3 Assistant Professor, Department of Sport Medicine and Health, School of Physical Education and Sport Sciences, University of Tehran AND Department of Sport Sciences, School of Humanities, Tarbiat Modares University, Tehran AND Department of Sport Rehabilitation, School of Sport Science, Bu Ali Sina University, Hamadan, Iran

4 Associate Professor, Department of Sport Medicine and Health, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran



Introduction: Scoliosis is a complex deformity of the spine. The possibility of surgery decrease by early diagnosis. The aim of this study was to investigate the efficiency of the functional movement screen test to predict scoliosis.Materials and Methods: Of 1672 university girl students, 98 were selected and divided into two group of scoliosis (43 cases with left thoracic curvature) and health (55 cases). The degree of curvature and functional movements were assessed by photography and functional movement screen test, respectively. Logistic regression analysis was used to evaluate the effect of predictor variables (functional movement screen test) on the criterion variable (scoliosis and health).Results: There was significant inverse correlation between scoliosis with deep squat (P < 0.001), hurdle step (P < 0.001), in-line lunge (P = 0.006), active straight-leg raise (P < 0.001), trunk stability push-up (P < 0.001), and rotary stability (P < 0.001). The logistic regression analysis revealed that low scores in hurdle step (P = 0.006) and active straight leg raising (P=0.02) could predict probability of scoliosis.Conclusion: Movement assessment seems to be an effective way to predict the probability of nonstructural scoliosis.


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  • Receive Date: 11 August 2018
  • Revise Date: 25 March 2023
  • Accept Date: 22 May 2022
  • First Publish Date: 22 May 2022