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Cited by 283

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A Survey of Injuries to the Anterior Cruciate Ligament of the Knee in Female Basketball Players

Gray, J., Taunton, J., McKenzie, D., Clement, D., McConkey, J., Davidson, R.·1985·International Journal of Sports Medicine

Abstract

This study surveyed 76 female basketball-related injuries that occurred during a 30-month period at the B.C. Sports Medicine Clinic. The knee was the most common site of injury (72%), and anterior cruciate ligament (ACL) rupture accounted for 25% of all basketball injuries seen. A total of 19 ACL ruptures in females were seen as compared to only 4 ACL ruptures in male basketball players during the same time period. During this time period a total of 151 males and 76 female basketball players were seen. Each patient was assessed as to age, height, weight, and alignment and questioned as to mechanism of injury, playing position, experience, and training plus previous injuries. Possible etiological factors postulated included player position, joint laxity, weak quadriceps mechanism, and a possible hormonal basis.

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Metadata

Authors
Gray, J., Taunton, J., McKenzie, D., Clement, D., McConkey, J., & Davidson, R.
Venue
International Journal of Sports Medicine
Published
1985-12
Volume
06
Issue
06
Pages
314-316
ISSN
  • 0172-4622 (ISSN-L)
  • 1439-3964
OpenAlex
W2083177529
Cited by
283
References
0
FWCI
1.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Survey of Injuries to the Anterior Cruciate Ligament of the Knee in Female Basketball Players. https://app.cochat.ai/papers/10.1055/s-2008-1025861
The paper
Gray, J., Taunton, J., McKenzie, D., Clement, D., McConkey, J., & Davidson, R. (1985). A Survey of Injuries to the Anterior Cruciate Ligament of the Knee in Female Basketball Players. International Journal of Sports Medicine. https://doi.org/10.1055/s-2008-1025861

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.