Sexual dimorphism using odontometric indexes: Analysis of three statistical techniques

Filho, Ismar Eduardo Martins; Lopez-Capp, Thais Torralbo; Biazevic, María Gabriela Haye; Crosato, Edgard Michel

doi:10.1016/j.jflm.2016.08.010

Cited by 19 publications

(14 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Overall, several teeth are sexually dimorphic and the crown mesiodistal dimensions were larger on average in males than in females. The results of this study confirm what was previously demonstrated, canine teeth are the most dimorphic teeth [1][2][3][4][5]7,19,21,[24][25][26] but also molars present significant differences between sexes [11,13,23,25,[28][29][30]. Within the elements that fit into our sex prediction model, the upper left canine, the lower right lateral incisor, and the lower right canine were the most appropriate and with better replicability.…”

Section: Discussionsupporting

confidence: 88%

Sex Prediction Based on Mesiodistal Width Data in the Portuguese Population

Neves¹,

Antunes‐Ferreira

Machado³

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

Accurate sex prediction is a key step in creating a postmortem forensic profile as it excludes approximately half the population. It is our goal to develop a predictive model to establish sex through teeth mesiodistal widths in a Portuguese population. The pretreatment dental casts of 168 of Portuguese orthodontics subjects (59 males and 109 females) were included. Mesiodistal widths from right first molar to left first molar were measured on each pretreatment cast to the nearest 0.01 mm using a digital caliper. Overall, the mesiodistal widths of the upper and lower canines, premolars, and molars were found to be significantly different between females and males. Conversely, no significant differences between sexes were identified for incisors. A multivariate logistic regression model for sex prediction was developed and the teeth included in the final reduced model being the upper left canine (2.3), the lower right lateral incisor (4.2) and the lower right canine (4.3). There is a prevalence of sexual dimorphism in all teeth except the incisors. The canines present the most noticeable difference between sexes. The presented sex determination predictive model exhibits an overall correct classification of 75%, outperforming all available models for this purpose and therefore is a potential tool for forensic analysis in this population.

show abstract

Section: Discussionsupporting

confidence: 88%

Sex Prediction Based on Mesiodistal Width Data in the Portuguese Population

Neves¹,

Antunes‐Ferreira

Machado³

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The authors suggested that this could be because of the existence of dual vestigial bimaturistic morphotypes in males, such as exist in orangutans. However, other studies found higher accuracy for males rather than females (e.g., De Angelis et al, ; Kazzazi & Kranioti, ; Peckmann et al, ; Tuttösí & Cardoso, ; Zorba et al, ), while still other studies found accuracy rates for males and females differed according to specific assemblage (Flohr, Kierdorf, & Kierdorf, ) or to the statistical technique employed (Martins Filho et al, ). Such variation in accuracy rates between males and females most likely reflects differences in the methodologies/statistical techniques employed in the studies, as well as the particularities of the assemblages under investigation.…”

Section: Discussionmentioning

confidence: 93%

“…Several studies have sought to derive discriminant functions or logistic regression equations for estimation of sex, although the accuracy for such formulae when applied to new assemblages remains uncertain (e.g., Hassett, ; Kazzazi & Kranioti, ; Martins Filho, Lopez‐Capp, Biazevic, & Michel‐Crosato, ; Tuttösí & Cardoso, ; Viciano, López‐Lázaro, & Alemán, ; Zorba, Moraitis, Eliopoulos, & Spiliopoulou, ). Unfortunately, external tooth‐size measurements are affected by tooth wear, which is frequently severe in archeological assemblages, and are subject to considerable inter‐observer error, which can be high relative to the degree of dimorphism.…”

Section: Introductionmentioning

confidence: 99%

Sexual dimorphism of dental tissues in modern human mandibular molars

Sorenti

Martinón‐Torres

Martín‐Francés

et al. 2019

American J Phys Anthropol

View full text Add to dashboard Cite

Objectives: Previous studies have revealed that human permanent dental tissue proportions differ significantly between males and females, with females having relatively thicker enamel relative to overall crown area than males. The aims of this study are to investigate sexual dimorphism in permanent mandibular molars and to determine whether such differences can be used to estimate sex in modern humans reliably. Materials and Methods:The permanent mandibular molars used in this study (n = 51) originate from 36 individuals of known sex from a Spanish anthropological collection. Eight variables were assessed from two-dimensional (2D) mesial planes of section obtained from microtomographic scans. Binary stepwise logistic regression was then applied to the data.Results: Male molars possess significantly greater quantities of dentine than females, both absolutely and proportionally. Females differed significantly from males by having greater relative enamel thickness. Logistic regression identified the proportion of dentine (relative dentine area [RDA]) as the most important sex discriminator, which can be used to correctly classify specimens with an overall accuracy rate of 74.36%.Discussion: These results confirm that sexual dimorphism in mandibular molar size is a result of males having a greater amount of dentine, both absolutely and proportionally. The findings suggest that 2D measurements of RDA may be useful for sex determination, although further research is required to test the reliability of these predictive techniques across different populations.K E Y W O R D S dental anthropology, dental tissue proportions, enamel thickness, microtomography, molars

show abstract

“…The canines were followed by the mandibular second molar (M 2 ), the maxillary and mandibular second premolars (PM 2 , PM 2 ), the maxillary and mandibular first premolars (PM 1 , PM 1 ), and the mandibular first molar (M 1 ). These data are consistent with the findings of previous studies on the greater sexual dimorphism of the canines (Acharya & Mainali, 2007; Adams & Pilloud, 2019; Angadi et al, 2013; Capitaneanu et al, 2017; De Angelis et al, 2015; Flohr, Kierdorf, & Kierdorf, 2016; Gonçalves, Granja, Cardoso, & de Carvalho, 2014; Hassett, 2011; İşcan & Kedici, 2003; Kazzazi & Kranioti, 2018; Khamis et al, 2014; Luna, 2019; Martins Filho, Lopez‐Capp, Biazevic, & Michel‐Crosato, 2016; Pereira, Bernardo, Pestana, Santos, & de Mendonça, 2010; Shaweesh, 2017; Tardivo et al, 2015; Thompson, 2013; Viciano et al, 2011, 2015, 2013; Zorba et al, 2011), and on the sexual dimorphism of both maxillary and mandibular first and second premolars (Adams & Pilloud, 2019; Kazzazi & Kranioti, 2018; Shaweesh, 2017; Yong et al, 2018; Zorba et al, 2011) and mandibular first and second molars (Acharya & Mainali, 2007; Adams & Pilloud, 2019; Angadi et al, 2013; Aris et al, 2018; Kazzazi & Kranioti, 2018; Martins Filho et al, 2016; Peckmann et al, 2015; Tuttösí & Cardoso, 2015; Viciano et al, 2015, 2013; Zorba et al, 2012, 2011). Moreover, several crown and cervical measurements of the maxillary and mandibular incisors (i.e., I 1 , I 1 , I 2 , I 2 ) and third molars (i.e., M 3 , M 3 ) also showed significant differences between males and females in the present study, and this finding is consistent with other studies (Acharya & Mainali, 2007; Adams & Pilloud, 2019; Ateş, Karaman, Işcan, & Erdem, 2006; Condon et al, 2011; Kazzazi & Kranioti, 2018; Peckmann et al,…”

Section: Discussionmentioning

confidence: 99%

Sex estimation by odontometrics of nonadult human remains from a contemporary Italian sample

Viciano

Tanga

D’Anastasio

et al. 2020

American J Phys Anthropol

View full text Add to dashboard Cite

Objectives The objective was to develop an odontometric technique for sex estimation based on dental measurements from adult individuals, and to evaluate its applicability and reliability for diagnosis of sex of nonadult skeletal remains. Materials and methods This study was conducted on the permanent dentition of 132 individuals (70 males, 62 females) from the identified human skeletal collection of the Certosa Cemetery (Bologna, Italy) of the University of Bologna. Binary logistic regression equations were developed based on dental measurements of the permanent teeth of the adult individuals, and these equations were subsequently applied to the permanent dentition of nonadult individuals to estimate their sex. Results These data show that the canine teeth of both the maxilla and mandible are the most sexually dimorphic teeth in adults, followed by the mandibular second molar, maxillary and mandibular second and first premolars, and mandibular first molar. These data provided correct assignment of sex in 80.4–94.9% of cases, which depended on the measurements used. Of the 26 nonadult individuals of the experimental sample, sex diagnosis was possible for 22, which represented an applicability rate of 84.6% of the individuals. Comparing the sex of these 22 nonadult individuals estimated by odontometrics with the known biological sex, correct assignment was obtained in 90.9% of cases. Conclusion As a method of sex estimation, odontometric analysis of permanent dentition can be used successfully for nonadult human skeletal remains in both forensic and archeological contexts.

show abstract

Sexual dimorphism using odontometric indexes: Analysis of three statistical techniques

Cited by 19 publications

References 16 publications

Sex Prediction Based on Mesiodistal Width Data in the Portuguese Population

Sex Prediction Based on Mesiodistal Width Data in the Portuguese Population

Sexual dimorphism of dental tissues in modern human mandibular molars

Sex estimation by odontometrics of nonadult human remains from a contemporary Italian sample

Contact Info

Product

Resources

About