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Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults
BACKGROUND: Although craniofacial sex differences have been extensively studied in humans, relatively little is known about when various dimorphic features manifest during postnatal life. Using cross-sectional data derived from the 3D Facial Norms data repository, we tested for sexual dimorphism of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841054/ https://www.ncbi.nlm.nih.gov/pubmed/27110347 http://dx.doi.org/10.1186/s13293-016-0076-8 |
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author | Kesterke, Matthew J. Raffensperger, Zachary D. Heike, Carrie L. Cunningham, Michael L. Hecht, Jacqueline T. Kau, Chung How Nidey, Nichole L. Moreno, Lina M. Wehby, George L. Marazita, Mary L. Weinberg, Seth M. |
author_facet | Kesterke, Matthew J. Raffensperger, Zachary D. Heike, Carrie L. Cunningham, Michael L. Hecht, Jacqueline T. Kau, Chung How Nidey, Nichole L. Moreno, Lina M. Wehby, George L. Marazita, Mary L. Weinberg, Seth M. |
author_sort | Kesterke, Matthew J. |
collection | PubMed |
description | BACKGROUND: Although craniofacial sex differences have been extensively studied in humans, relatively little is known about when various dimorphic features manifest during postnatal life. Using cross-sectional data derived from the 3D Facial Norms data repository, we tested for sexual dimorphism of craniofacial soft-tissue morphology at different ages. METHODS: One thousand five hundred fifty-five individuals, pre-screened for craniofacial conditions, between 3 and 25 years of age were placed in to one of six age-defined categories: early childhood, late childhood, puberty, adolescence, young adult, and adult. At each age group, sex differences were tested by ANCOVA for 29 traditional soft-tissue anthropometric measurements collected from 3D facial scans. Additionally, sex differences in shape were tested using a geometric morphometric analysis of 24 3D facial landmarks. RESULTS: Significant (p < 0.05) sex differences were observed in every age group for measurements covering multiple aspects of the craniofacial complex. The magnitude of the dimorphism generally increased with age, with large spikes in the nasal, cranial, and facial measurements observed after puberty. Significant facial shape differences (p < 0.05) were also seen at each age, with some dimorphic features already present in young children (eye fissure inclination) and others emerging only after puberty (mandibular position). CONCLUSIONS: Several craniofacial soft-tissue sex differences were already present in the youngest age group studied, indicating that these differences emerged prior to 3 years of age. The results paint a complex and heterogeneous picture, with different groups of traits exhibiting distinct patterns of dimorphism during ontogeny. The definitive adult male and female facial shape was present following puberty, but arose from numerous distinct changes taking place at earlier stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13293-016-0076-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4841054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48410542016-04-23 Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults Kesterke, Matthew J. Raffensperger, Zachary D. Heike, Carrie L. Cunningham, Michael L. Hecht, Jacqueline T. Kau, Chung How Nidey, Nichole L. Moreno, Lina M. Wehby, George L. Marazita, Mary L. Weinberg, Seth M. Biol Sex Differ Research BACKGROUND: Although craniofacial sex differences have been extensively studied in humans, relatively little is known about when various dimorphic features manifest during postnatal life. Using cross-sectional data derived from the 3D Facial Norms data repository, we tested for sexual dimorphism of craniofacial soft-tissue morphology at different ages. METHODS: One thousand five hundred fifty-five individuals, pre-screened for craniofacial conditions, between 3 and 25 years of age were placed in to one of six age-defined categories: early childhood, late childhood, puberty, adolescence, young adult, and adult. At each age group, sex differences were tested by ANCOVA for 29 traditional soft-tissue anthropometric measurements collected from 3D facial scans. Additionally, sex differences in shape were tested using a geometric morphometric analysis of 24 3D facial landmarks. RESULTS: Significant (p < 0.05) sex differences were observed in every age group for measurements covering multiple aspects of the craniofacial complex. The magnitude of the dimorphism generally increased with age, with large spikes in the nasal, cranial, and facial measurements observed after puberty. Significant facial shape differences (p < 0.05) were also seen at each age, with some dimorphic features already present in young children (eye fissure inclination) and others emerging only after puberty (mandibular position). CONCLUSIONS: Several craniofacial soft-tissue sex differences were already present in the youngest age group studied, indicating that these differences emerged prior to 3 years of age. The results paint a complex and heterogeneous picture, with different groups of traits exhibiting distinct patterns of dimorphism during ontogeny. The definitive adult male and female facial shape was present following puberty, but arose from numerous distinct changes taking place at earlier stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13293-016-0076-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-22 /pmc/articles/PMC4841054/ /pubmed/27110347 http://dx.doi.org/10.1186/s13293-016-0076-8 Text en © Kesterke et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kesterke, Matthew J. Raffensperger, Zachary D. Heike, Carrie L. Cunningham, Michael L. Hecht, Jacqueline T. Kau, Chung How Nidey, Nichole L. Moreno, Lina M. Wehby, George L. Marazita, Mary L. Weinberg, Seth M. Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
title | Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
title_full | Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
title_fullStr | Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
title_full_unstemmed | Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
title_short | Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
title_sort | using the 3d facial norms database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841054/ https://www.ncbi.nlm.nih.gov/pubmed/27110347 http://dx.doi.org/10.1186/s13293-016-0076-8 |
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