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Ectocranial suture closure: A revised method for the determination of skeletal age at death based on the lateral‐anterior sutures

Meindl, Richard S., Lovejoy, C. Owen·1985·American Journal of Physical Anthropology

Abstract

A new method for estimation of age‐at‐death based on the degree of suture closure is presented. The method employs simple ectocranial scoring of specific sites on the external table. Composite scores for two groups of sutures, lateral‐anterior and vault systems, which are used to provide estimates of age‐at‐death, have been developed from a sample of 236 crania from the Hamann‐Todd Collection. A variety of tests show that the lateralanterior sutures are superior to the sutures of the vault, that ectocranial is superior to endocranial observation, and that age estimates are independent of race and sex. It is concluded that suture closure can provide valuable estimates of age‐at‐death in both archaeological and forensic contexts when used in conjunction with other skeletal age indicators.

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Metadata

Authors
Meindl, R. S., & Lovejoy, C. O.
Venue
American Journal of Physical Anthropology
Publisher
Wiley
Published
1985-09
Volume
68
Issue
1
Pages
57-66
ISSN
  • 0002-9483 (ISSN-L)
  • 1096-8644
OpenAlex
W2149740962
Cited by
1,574
References
0
FWCI
56.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ectocranial suture closure: A revised method for the determination of skeletal age at death based on the lateral‐anterior sutures. https://app.cochat.ai/papers/10.1002/ajpa.1330680106
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Meindl, R. S., & Lovejoy, C. O. (1985). Ectocranial suture closure: A revised method for the determination of skeletal age at death based on the lateral‐anterior sutures. American Journal of Physical Anthropology. https://doi.org/10.1002/ajpa.1330680106

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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.