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Stabilometry and one-leg hop test have high test-retest reliability
E Ageberg1, R Zätterström, U Moritz
1Department of Rehabilitation, Lund University, Sweden.
Scandinavian Journal of Medicine & Science in Sports
|October 9, 1998
Summary
Single-limb stabilometry and one-leg hop tests show high reliability for repeated measurements. A learning effect was observed, but correlations between stabilometry variables were strong.
Area of Science:
- Biomechanics
- Motor Control
- Sports Medicine
Background:
- Assessing balance and motor function relies on reliable measurement tools.
- Understanding learning or fatigue effects is crucial for accurate performance evaluation.
Purpose of the Study:
- To determine the reliability of repeated measurements in single-limb stabilometry and one-leg hop tests.
- To investigate potential learning or tiring effects during these tests.
- To analyze correlations among various stabilometric variables.
Main Methods:
- Seventy-five healthy participants underwent two testing sessions separated by a median of 7 days.
- Three consecutive measurements were taken for both single-limb stabilometry and one-leg hop tests on each occasion.
- Intraclass correlation coefficients (ICC) and Pearson correlation coefficients (r) were used for reliability and correlation analyses.
Main Results:
- High reliability was found for both single-limb stabilometry (ICC r = 0.68-0.83) and the one-leg hop test (ICC r = 0.96).
- Acceptable to high correlations were observed between consecutive stabilometry measurements (r = 0.42-0.90) and high correlations for the one-leg hop test (r = 0.91-0.97).
- A significant learning process was identified over time, and strong correlations (r = 0.73-0.95) were found between different stabilometric variables.
Conclusions:
- Single-limb stabilometry and one-leg hop tests are reliable for repeated assessments in healthy individuals.
- A learning effect should be considered in test protocols, although it does not compromise overall reliability.
- The strong correlations between stabilometric variables suggest interconnectedness in balance control mechanisms.