Odontometric sex estimation on three populations of the Iron Age from Abruzzo region (central-southern Italy)

被引:31
|
作者
Viciano, Joan [1 ]
D'Anastasio, Ruggero [1 ]
Capasso, Luigi [1 ]
机构
[1] State Univ G dAnnunzio, Univ Museum, I-66100 Chieti, Italy
关键词
Tooth size; Sexual dimorphism; Logistic regression analysis; Samnites; FAMILIAL SEGREGATION; AURICULAR SURFACE; MEASUREMENT ERROR; ALFEDENA; DIMORPHISM; DENTITION; ACCURACY; EVENTS; NECROPOLIS; TRAITS;
D O I
10.1016/j.archoralbio.2014.09.003
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Background: In archaeological contexts, sex identification is a necessary step for a complete reconstruction of the biological profile of the individuals and to know demographic patterns of the population, nutritional stress, diseases, growth and development, and distribution of pathological conditions. Methods: This study is based on the skeletal remains of 149 individuals from three proto-historic populations in close temporal and geographic proximity in Abruzzo region (central southern Italy): Opi, Alfedena and Bazzano. It has been possible to develop logistic regression equations based on dental measurements of permanent teeth of adult individuals whose sex had previously been estimated based on pelvic and cranial features. These equations were subsequently applied to the permanent dentition of immature individuals and adult individuals whose sex was estimated as uncertain or unknown in order to estimate their sex. Results: The mandibular canine is the tooth with the greatest sexual dimorphism in adults, followed by both maxillary and mandibular first and second molars, providing a correct assignment of sex ranging from 83.7% and 95.9% of cases, depending on the dimensions used for the construction of these equations. Of the 29 individuals in the target sample (14 adultus, 10 juvenilis and 5 infans), sex estimation was possible for 23 (10 adultus, 8 juvenilis and 5 infans), representing an applicability rate of 79.31% of the individuals. Conclusions: The results indicate that odontometrics is a useful tool for sex estimation and allows to increase the data to perform more complete paleodemographic studies on archaeological populations. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:100 / 115
页数:16
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