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

Viciano, Joan; D’Anastasio, Ruggero; Capasso, Luigi

doi:10.1016/j.archoralbio.2014.09.003

Cited by 41 publications

(51 citation statements)

References 49 publications

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“…Discriminant function analysis for single tooth measurements also showed that the cervical measurements of the permanent canines and incisors were the most dimorphic teeth providing classification accuracy between 76.9 and 87.9 %. These results were in accordance with previous studies (Alt et al 1998;Starp 1990;Ellendt 1993;Hassett 2011;Viciano et al 2011Viciano et al , 2013Viciano et al , 2015Mujib et al 2014). In addition, it was found that second molar dimensions can be a very effective single variable for sex estimation with a classification accuracy of 83 %.…”

Section: Discussionsupporting

confidence: 83%

“…A comparison between the two sexes showed that the classification accuracy of all functions was higher for males. This result is in agreement with other studies on cervical tooth measurements (Vodanovic et al 2007;Hassett 2011;Viciano et al 2011Viciano et al , 2013Viciano et al , 2015Zorba et al 2011Zorba et al , 2013Mujib et al 2014;Peckmann et al 2015). This means that females have a greater variation in tooth size and can more often be misclassified as male.…”

Section: Discussionsupporting

confidence: 83%

“…Studies on sexual dimorphism in cervical mesiodistal and buccolingual measurements have demonstrated that the canine is the most sexual dimorphic tooth (Starp 1990;Ellendt 1993;Alt et al 1998, Vodanovic et al 2007, Viciano et al 2011Hassett 2011, Mujib et al 2014, Viciano et al 2015. This is similar to the conclusion reached in the previous studies on crown mesiodistal and buccolingual measurements (Garn et al 1966;Yuen et al 1997;Işcan and Kedici 2003;Vodanovic et al 2007;Cardoso 2008;Zorba et al 2011;Khamis et al 2014).…”

Section: Introductionsupporting

confidence: 81%

“…Dental sexual dimorphism has been long acknowledged (Garn et al 1964(Garn et al , 1966Ditch and Rose 1972;Bishara et al 1989; U upper, L lower, I incisor, C canine, P premolar, M molar a M 3 was excluded from the discriminant function analysis Hattab et al 1997;Hillson et al 2005;Cardoso 2008;Hassett 2011;Zorba et al 2013;Viciano et al 2015;Tuttösí and Cardoso 2015), and studies have demonstrated that dental dimensions can be used to accurately assess sex in living individuals and among skeletal remains (Fig. 3).…”

Section: Discussionmentioning

confidence: 99%

“…On average, males have larger teeth than females and this characteristic could be used in sex estimation (Garn et al 1964(Garn et al , 1966Ditch and Rose 1972;Kieser et al 1985;Hattab et al 1997;Işcan and Kedici 2003;Hassett 2011;Viciano et al 2015). The most commonly reported tooth measurements for sex estimation are the maximum mesiodistal and buccolingual crown measurements (Black 1978;Hattab et al 1997;Kondo and Townsend 2004;Acharya and Mainali 2007;Pereira et al 2010;Mitsea et al 2014;Gonçalves et al 2014;Sharma et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Sex estimation using cervical dental measurements in an archaeological population from Iran

Kazzazi

Kranioti

2016

Archaeol Anthropol Sci

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Sex estimation of skeletal remains is one of the major components of forensic identification of unknown individuals. Teeth are a potential source of information on sex and are often recovered in archaeological or forensic contexts due to their post-mortem longevity. Currently, there is limited data on dental sexual dimorphism of archaeological populations from Iran. This paper represents the first study to provide a dental sex estimation method for Iron Age populations. The current study was conducted on the skeletal remains of 143 adults from two Iron Age populations in close temporal and geographic proximity in the Solduz Valley (West Azerbaijan Province of Iran). Mesiodistal and buccolingual cervical measurements of 1334 maxillary and mandibular teeth were used to investigate the degree of sexual dimorphism in permanent dentition and to assess their applicability in sex estimation. Data was analysed using discriminant function analysis (SPSS 23), and posterior probabilities were calculated for all produced formulae. The results showed that incisors and canines were the most sexually dimorphic teeth, providing percentages of correct sex classification between 86.4 and 100 % depending on the measurement used. The combination of canines and other teeth improved significantly the level of correct sex classification. The highest percentages of sex classification were obtained by the combination of canines and incisors (100 %) and canines and molars (92.3 %). The present study provided the first reference standards for sex estimation using odontometric data in an Iranian archaeological population. Cervical measurements were found to be of value for sex assessment, and the method presented here can be a useful tool for establishing accurate demographic data from skeletal remains of the Iron Age from Iran.

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