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https://hdl.handle.net/10316/41258
Título: | Predicting adult stature from metatarsal length in a Portuguese population | Autor: | Cordeiro, Cristina Muñoz-Barús, José I. Wasterlain, Sofia Cunha, Eugénia Vieira, Duarte N. |
Palavras-chave: | Adult; Aged; Female; Forensic Anthropology; Humans; Male; Metatarsal Bones; Middle Aged; Portugal; Regression Analysis; Reproducibility of Results; Sex Characteristics; Body Height | Data: | 2009 | Título da revista, periódico, livro ou evento: | Forensic Science International | Volume: | 193 | Número: | 1-3 | Resumo: | 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 |
Direitos: | embargoedAccess |
Aparece nas coleções: | I&D CIAS - Artigos em Revistas Internacionais |
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Manuscript.pdf | 427.9 kB | Adobe PDF | Ver/Abrir |
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