Literature DB >> 21361935

An osteometric study of northern Indian populations for sexual dimorphism in craniofacial region.

Vineeta Saini1, Rashmi Srivastava, Rajesh K Rai, Satya N Shamal, Tej B Singh, Sunil K Tripathi.   

Abstract

Sex identification is an initial crucial objective in the revelation of the complete identity of the human skeleton as it also renders significantly clearer guidance towards age and stature estimation. Population specific standards are of great practical relevance in the present era of increasing population intermixing. Size differences and robusticity are the two well-elaborated pillars holding most of the dimorphic burdens of the skull. This study is designed to explore dimorphic characteristics of the craniofacial region to establish anthropometric standards for contemporary North Indian populations, which have not been available so far. One hundred and twelve adult crania of known age (23-65 years) and sex (M:F; 82:30) were collected in the Department of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India. Ten standard metric parameters of craniofacial region were measured and subjected to stepwise and direct discriminant function analysis employing SPSS 16.00. Bizygomatic breadth emerged as the single best parameter in stepwise analysis, providing an average accuracy of 85.5%.
© 2011 American Academy of Forensic Sciences.

Entities:  

Mesh:

Year:  2011        PMID: 21361935     DOI: 10.1111/j.1556-4029.2011.01707.x

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


  8 in total

1.  Craniometric study for sex determination in a Thai population.

Authors:  Pasuk Mahakkanukrauh; Apichat Sinthubua; Sukon Prasitwattanaseree; Sitthiporn Ruengdit; Phruksachat Singsuwan; Sithee Praneatpolgrang; Phuwadon Duangto
Journal:  Anat Cell Biol       Date:  2015-12-21

2.  Temporal variations in basicranium dimorphism of North Indians.

Authors:  Vineeta Saini; Rashmi Srivastava; Satya Narayan Shamal; Tej Bali Singh; Vinod Kumar; Pramod Kumar; Sunil Kumar Tripathi
Journal:  Int J Legal Med       Date:  2013-12-28       Impact factor: 2.686

3.  Machine learning approaches for sex estimation using cranial measurements.

Authors:  Diana Toneva; Silviya Nikolova; Gennady Agre; Dora Zlatareva; Vassil Hadjidekov; Nikolai Lazarov
Journal:  Int J Legal Med       Date:  2020-11-11       Impact factor: 2.686

4.  Discriminant analysis of mandibular measurements for the estimation of sex in a modern Brazilian sample.

Authors:  Thais Torralbo Lopez-Capp; Christopher Rynn; Caroline Wilkinson; Luiz Airton Saavedra de Paiva; Edgard Michel-Crosato; Maria Gabriela Haye Biazevic
Journal:  Int J Legal Med       Date:  2017-09-26       Impact factor: 2.686

5.  Sex determination of a Tunisian population by CT scan analysis of the skull.

Authors:  Malek Zaafrane; Mehdi Ben Khelil; Ines Naccache; Ekbel Ezzedine; Frédéric Savall; Norbert Telmon; Najla Mnif; Moncef Hamdoun
Journal:  Int J Legal Med       Date:  2017-09-21       Impact factor: 2.686

6.  Anthropometric correlations between parts of the upper and lower limb: models for personal identification in a Sudanese population.

Authors:  Altayeb Abdalla Ahmed
Journal:  Forensic Sci Med Pathol       Date:  2016-07-05       Impact factor: 2.007

7.  Sex determination using humeral dimensions in a sample from KwaZulu-Natal: an osteometric study.

Authors:  Oluwatosin Olalekan Ogedengbe; Sunday Adelaja Ajayi; Omobola Aderibigbe Komolafe; Aung Khaing Zaw; Edwin Coleridge Stephen Naidu; Onyemaechi Okpara Azu
Journal:  Anat Cell Biol       Date:  2017-09-20

8.  Facial Anthropometric Norms among Kosovo - Albanian Adults.

Authors:  Gloria Staka; Flurije Asllani-Hoxha; Venera Bimbashi
Journal:  Acta Stomatol Croat       Date:  2017-09
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.