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Standing Balance in Healthy Subjects. Evaluation of a Quantitative Test Battery on a Force Platform

Open access
Ekdahl, C, B Jarnlo, G, I Andersson, S·2020·Journal of Rehabilitation Medicine

Abstract

A quantitative battery of tests for standing balance is needed in the assessment of functional impairments. The aims of the present study were to obtain stabilometric reference values for healthy females and males, 20-64 years of age, on a stable computerized force platform (AMTI) and to relate the balance data thus obtained to some traditional functional balance tests. Altogether, 152 subjects performed a series of tests. The test battery on the force platform comprised tests of standing with feet close together or on one leg while looking straight ahead or while blindfolded. Traditional functional balance tests were checked and various background data were collected through a questionnaire. Results of a separate test-retest reliability study of the test battery given on the force platform appeared promising, especially for the tests with eyes open. In the main study, results obtained on the force platform correlated significantly (p less than 0.001) with results of most of the functional tests. Women showed higher standing balance as compared with men. The results suggest the importance of relating the test-data not only to age but also to sex.

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Metadata

Authors
Ekdahl, C., B Jarnlo, G., & I Andersson, S.
Venue
Journal of Rehabilitation Medicine
Published
2020-05-20
Volume
21
Issue
4
Pages
187-195
ISSN
  • 1650-1977 (ISSN-L)
  • 1651-2081
OpenAlex
W65886716
Cited by
217
References
0
FWCI
6.55
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Standing Balance in Healthy Subjects. Evaluation of a Quantitative Test Battery on a Force Platform. https://app.cochat.ai/papers/10.2340/165019778921187195
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Ekdahl, C., B Jarnlo, G., & I Andersson, S. (2020). Standing Balance in Healthy Subjects. Evaluation of a Quantitative Test Battery on a Force Platform. Journal of Rehabilitation Medicine. https://doi.org/10.2340/165019778921187195

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.