Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/41258
Title: Predicting adult stature from metatarsal length in a Portuguese population
Authors: Cordeiro, Cristina
Muñoz-Barús, José I. 
Wasterlain, Sofia 
Cunha, Eugénia 
Vieira, Duarte N. 
Keywords: Adult; Aged; Female; Forensic Anthropology; Humans; Male; Metatarsal Bones; Middle Aged; Portugal; Regression Analysis; Reproducibility of Results; Sex Characteristics; Body Height
Issue Date: 2009
Serial title, monograph or event: Forensic Science International
Volume: 193
Issue: 1-3
Abstract: Stature can be considered one of the "big four" parameters to be ascertained within the biological profile in cases of forensic anthropology. However, the most reliable available methods for stature estimation require the preservation of the long bones, but since this is very often not the case, the development of alternative methods, based on distinct bones, is mandatory. Therefore, in the present work the reliability of the first two metatarsal bones in reconstructing stature is tested. The data consist of length measurements taken from the first two metatarsals removed from documented cadavers of known stature. The sample for this study consists of 220 metatarsals, namely 110 first metatarsals and 110 second metatarsals collected during the autopsies carried out in the National Institute of Legal Medicine in Portugal. The aim was to propose regression equations for the Portuguese population and test the formulae proposed by other authors to determine adult stature using metatarsal bones. We found that when estimating stature from measurement of the metatarsals, the best correlation was that obtained from the relationship with the maximum length of the 2nd metatarsal. The corresponding regression equation is as follows: S=790.041+11.689M2.
URI: https://hdl.handle.net/10316/41258
DOI: 10.1016/j.forsciint.2009.09.017
10.1016/j.forsciint.2009.09.017
Rights: embargoedAccess
Appears in Collections:I&D CIAS - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
Manuscript.pdf427.9 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

66
checked on Apr 15, 2024

WEB OF SCIENCETM
Citations 5

51
checked on Apr 2, 2024

Page view(s)

341
checked on Apr 23, 2024

Download(s) 20

1,445
checked on Apr 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons