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Cited by 255

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Clinical assessment of balance: Normative data, and gender and age effects

Vereeck, Luc, Wuyts, Floris, Truijen, Steven, Van de Heyning, Paul·2008·International Journal of Audiology

Abstract

The purpose of this study was to provide age specific normative data of clinical gait and balance tests and to determine to what extent gender contributes to differences in postural control. Standing balance and walking performance was tested in 318 asymptomatic adults. The logistic regression, using both 10- and 30-second time limits as a dichotomization point, revealed a significant age effect for standing on foam with eyes closed, tandem Romberg with eyes closed (TR-EC), and one leg stance (eyes open and closed). The actual effect of decline was different for each test. Both tandem gait and dynamic gait index showed a ceiling effect up to 60 years of age, with a rapid decline of performance for subjects in their seventies. Linear regression equations indicated that for both men and women, timed up and go test (TUG) times increased with age, but even older subjects should perform the TUG in 10 seconds or less. Women performed significantly poorer on the TUG and TR-EC (30-second time limit).

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Metadata

Authors
Vereeck, L., Wuyts, F., Truijen, S., & Van de Heyning, P.
Venue
International Journal of Audiology
Published
2008-01
Volume
47
Issue
2
Pages
67-75
ISSN
  • 1499-2027 (ISSN-L)
  • 1708-8186
OpenAlex
W2040757738
Cited by
255
References
40
FWCI
32.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Clinical assessment of balance: Normative data, and gender and age effects. https://app.cochat.ai/papers/10.1080/14992020701689688
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Vereeck, L., Wuyts, F., Truijen, S., & Van de Heyning, P. (2008). Clinical assessment of balance: Normative data, and gender and age effects. International Journal of Audiology. https://doi.org/10.1080/14992020701689688

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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.