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Related Experiment Videos

Static stabilometry and repeated testing in a normal population.

S H Nordahl1, T Aasen, B M Dyrkorn

  • 1Department of Otolaryngology/Head and Neck Surgery, Haukeland University Hospital, Bergen, Norway. stein.nordahl@ore.uib.no

Aviation, Space, and Environmental Medicine
|September 23, 2000
PubMed
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Repeated static stabilometry tests show a learning effect, particularly on foam mats with eyes closed. This learning is most pronounced with shorter intervals between postural control assessments.

Area of Science:

  • Biomedical Engineering
  • Human Physiology
  • Sports Science

Background:

  • Static stabilometry is an objective measure of postural control.
  • Repeated testing may introduce a learning effect, influencing results.
  • Understanding this learning effect is crucial for applications in confined spaces like hyperbaric chambers.

Purpose of the Study:

  • To investigate the learning effect of repeated static stabilometry tests.
  • To assess the suitability of a specific testing protocol for confined environments.
  • To determine factors influencing learning during postural control assessments.

Main Methods:

  • Four groups of healthy individuals underwent ten static stabilometry tests.
  • Testing involved standing on a balance platform with eyes open/closed, on a bare surface or foam mat.

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  • Test intervals varied across groups, ranging from 11 to 115 days.

    • Main Results:

    • A significant learning effect was observed with repeated static stabilometry.
    • The learning effect was greatest when standing on a foam mat with eyes closed.
    • Shorter time intervals between tests amplified the learning effect.
    • No significant differences in learning were found based on height, weight, or sex.

    Conclusions:

    • Repeated static stabilometry demonstrates a learning effect in healthy individuals.
    • The learning effect is condition-dependent, influenced by surface and visual input.
    • The findings have implications for interpreting postural control data in environments with limited space and repeated testing protocols.