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dc.date.accessioned 2021-11-08T16:02:42Z
dc.date.available 2021-11-08T16:02:42Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/127883
dc.description.abstract Out of all the available methods for estimating age at death from immature human skeletal remains, those based on odontometric variables of deciduous dentition have proved to be one of the most accurate. The development of odontometric methods has been improved through the creation of documented human osteological collections, allowing their validation in different populations. The present study aims to test the regression equations for age estimation proposed by Liversidge et al. 1993, Irurita Olivares et al. 2014, and Cardoso et al. 2019, on the basis of the maximum length of deciduous teeth in an Argentinian sample of 35 infants of known age at death. The results showed that the absolute mean difference between estimated and chronological age was 5.76 ± 6.33 weeks for Liversidge’s method, 5.71 ± 6.41 weeks for Irurita Olivares’s method, and 6.79 ± 5.80 for Cardoso’s method. It was also found that, for Liversidge’s method, the canines provided the most accurate and the least biased estimations. For Irurita Olivares’s method, mandibular anterior teeth were the most accurate, while the first mandibular molars offered the least biased estimations. For Cardoso’s method, the canines presented the most accurate estimations, while the lateral incisors the least biased ones. Finally, 95% confidence intervals of estimated ages were calculated for each method, finding that Irurita Olivares’s method provided the most reliable age estimations when using mandibular central incisors and mandibular first molars. en
dc.language en es
dc.subject Forensic anthropology population data es
dc.subject Age estimation es
dc.subject Deciduous dentition es
dc.subject Maximum length es
dc.title Maximum length of deciduous dentition as an indicator of age during the first year of life: methodological validation in a contemporary osteological collection en
dc.type Articulo es
sedici.identifier.other pmid:31493659 es
sedici.identifier.other doi:10.1016/j.forsciint.2019.109928 es
sedici.identifier.issn 1872-6283 es
sedici.identifier.issn 0379-0738 es
sedici.creator.person Petrone, Selene es
sedici.creator.person Garizoain, Gonzalo es
sedici.creator.person García Mancuso, Rocío es
sedici.creator.person Inda, Ana María es
sedici.subject.materias Ciencias Médicas es
sedici.subject.materias Biología es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Médicas es
sedici.subtype Preprint es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Forensic Science International es
sedici.relation.journalVolumeAndIssue vol. 303 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)