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Cited by 292

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Histochemical correlates of hamstring injuries

Garrett, W.E., Califf, J.C., Bassett, F.H.·1984·The American Journal of Sports Medicine

Abstract

This study reports the histochemical fiber type com position of the human hamstring muscles. Muscle spec imens from necropsy specimens were obtained from seven locations in the hamstring, four locations in the quadriceps, and one location in the adductor magnus. The hamstring muscles are shown to have a relatively high proportion of Type II fibers. Type II fibers are more involved with exercise of higher intensity and force production and it is postulated that the hamstrings are capable of high intrinsic force production. The ham strings are two-joint muscles and are, therefore, subject to increased stretch and force production extrinsically by motion at the hip and knee. It is proposed that high levels of tension in the hamstrings produced by intrinsic force production and extrinsic stretch may make them prone to injury in periods of intense muscular activity. This proposal is also relevant to other frequent athletic muscle injuries.

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Metadata

Authors
Garrett, W. E., Califf, J. C., & Bassett, F. H.
Venue
The American Journal of Sports Medicine
Published
1984-03
Volume
12
Issue
2
Pages
98-103
ISSN
  • 0363-5465 (ISSN-L)
  • 1552-3365
OpenAlex
W2077664527
Cited by
292
References
5
FWCI
2.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Histochemical correlates of hamstring injuries. https://app.cochat.ai/papers/10.1177/036354658401200202
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Garrett, W. E., Califf, J. C., & Bassett, F. H. (1984). Histochemical correlates of hamstring injuries. The American Journal of Sports Medicine. https://doi.org/10.1177/036354658401200202

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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.