Literature DB >> 18455335

Sexual dimorphism of the hip joint in Greeks.

Christos Papaloucas1, Aliki Fiska, Thespis Demetriou.   

Abstract

The objective of the present study was to report our measurements of hip bones within the Greek population and review the possible implications of these differences in their health as well as in social life. For this purpose the remains of 100 male and 100 female pelvic and femoral bones were studied. The distance from the pubic tubercle to the anterior rim of the acetabulum, the acetabulum diameter between its rims, their ratio, the depth of the acetabulum, the diameter of the femoral head and the ratio between the femoral head and the diameter of the acetabulum were measured. It was found that in males, in comparison to the females, the distance from the pubic tubercle to the anterior rim of the acetabulum was smaller while the acetabulum diameter and its depth, the diameter of the femoral head and the ratio between femoral head and the acetabulum diameter were larger. The above differences reached strong statistical significance. Of the two ratios used only the first one reached statistical significance. Using this ratio alone offered the best discrimination rate of up to 99% and should be the preferred choice when available.

Mesh:

Year:  2008        PMID: 18455335     DOI: 10.1016/j.forsciint.2008.03.007

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  Development and validation of a new formula for sex estimation based on multislice computed tomographic measurements of maxillary and frontal sinuses among Brazilian adults.

Authors:  Diego Santiago de Mendonça; Lúcio Mitsuo Kurita; Francisco Samuel Rodrigues Carvalho; Fabrício Mesquita Tuji; Paulo Goberlânio de Barros Silva; Tácio Pinheiro Bezerra; Andréa Silvia Walter de Aguiar; Fábio Wildson Gurgel Costa
Journal:  Dentomaxillofac Radiol       Date:  2021-03-18       Impact factor: 3.525

2.  Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method.

Authors:  Hongjuan Gao; Guohua Geng; Wen Yang
Journal:  Comput Math Methods Med       Date:  2018-06-25       Impact factor: 2.238

  2 in total

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