Literature DB >> 15932080

Does sexual dimorphism in facial soft tissue depths justify sex distinction in craniofacial identification?

Carl N Stephan1, Rachel M Norris, Maciej Henneberg.   

Abstract

Separation of male and female soft tissue depths into discrete groups for craniofacial identification implies that males and females differ enough from each other, with respect to this application, for this distinction to be useful. In this study, previously published soft tissue depth data were analyzed for sex separation. It was found that the variation within each sex was large while the variation between the sexes was small. Often the value of two standard deviations of the measurement for either sex was larger than the difference displayed between the means of each sex. Furthermore, opposite sex overlap in regions defined to be close to the male or female mean were found to be large and the amount of variance explained by sex was small (less than 6% on average). These results indicate that while male and female means at single craniofacial landmarks may differ slightly, and even at statistically significant levels, individual male and female soft tissue depths are often the same or very similar. On average, soft tissue depths of the face do display some sexual dimorphism but it is not marked and of little practical meaning for craniofacial identification where a single individual must be independently considered. Thus, there is little use in separate reporting of data for males and females and data should be combined to increase sample sizes.

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Year:  2005        PMID: 15932080

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  7 in total

1.  The influence of sex, age and body mass index on facial soft tissue depths.

Authors:  S De Greef; D Vandermeulen; P Claes; P Suetens; G Willems
Journal:  Forensic Sci Med Pathol       Date:  2009-05-13       Impact factor: 2.007

2.  Facial soft tissue thickness in forensic facial reconstruction: Impact of regional differences in Brazil.

Authors:  Deisy Satie Moritsugui; Flavia Vanessa Greb Fugiwara; Flávia Nicolle Stefani Vassallo; Luiz Eugênio Nigro Mazzilli; Thiago Leite Beaini; Rodolfo Francisco Haltenhoff Melani
Journal:  PLoS One       Date:  2022-07-15       Impact factor: 3.752

3.  Male and Female Characteristics of Facial Soft Tissue Thickness in Different Orthodontic Malocclusions Evaluated by Cephalometric Radiography.

Authors:  Tatjana Perović; Zorica Blažej
Journal:  Med Sci Monit       Date:  2018-05-23

Review 4.  An overview of the latest developments in facial imaging.

Authors:  Carl N Stephan; Jodi M Caple; Pierre Guyomarc'h; Peter Claes
Journal:  Forensic Sci Res       Date:  2018-10-29

5.  Efficiency of the Adjusted Binary Classification (ABC) Approach in Osteometric Sex Estimation: A Comparative Study of Different Linear Machine Learning Algorithms and Training Sample Sizes.

Authors:  MennattAllah Hassan Attia; Marwa A Kholief; Nancy M Zaghloul; Ivana Kružić; Šimun Anđelinović; Željana Bašić; Ivan Jerković
Journal:  Biology (Basel)       Date:  2022-06-15

6.  A lack of sexual dimorphism in width-to-height ratio in white European faces using 2D photographs, 3D scans, and anthropometry.

Authors:  Robin S S Kramer; Alex L Jones; Robert Ward
Journal:  PLoS One       Date:  2012-08-07       Impact factor: 3.240

Review 7.  Facial Genetics: A Brief Overview.

Authors:  Stephen Richmond; Laurence J Howe; Sarah Lewis; Evie Stergiakouli; Alexei Zhurov
Journal:  Front Genet       Date:  2018-10-16       Impact factor: 4.599

  7 in total

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