Forensic Estimation of Stature Using Bony Markers of the Proximal End of the Ulna: An Anatomical Perspective

Background: Estimating stature from skeletal remains is an essential tool in forensic anthropology, especially when only fragmentary remains are available. The ulna, being a commonly preserved long bone in forensic cases, offers significant potential for height estimation, particularly from the bony markers at its proximal end. Objective: This study aims to establish a reliable method for estimating human stature based on the bony markers of the proximal ulna, focusing on its anatomical features such as the anteroposterior and transverse diameters, as well as the maximum length. Methods: The study included 100 adult human skeletal specimens (50 males, 50 females) with intact ulnas. Various bony measurements of the proximal ulna were taken using digital callipers, including the maximum length, anteroposterior, and transverse diameters. Statistical analysis, including correlation coefficients and regression models, was applied to establish the relationship between these markers and stature. Results: A strong positive correlation (r = 0.85) was found between the proximal ulna measurements and the stature of individuals. The anteroposterior diameter exhibited the highest predictive accuracy (r² = 0.72) for stature estimation. A regression equation was derived for both sexes to estimate stature based on the proximal ulna’s measurements. Conclusion: The bony markers of the proximal ulna provide a valuable and reliable method for estimating stature, particularly in forensic cases involving partial skeletal remains.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-26
DOI
https://doi.org/10.5281/zenodo.14548770
Primary Topic
Cervical and Thoracic Myelopathy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forensic Estimation of Stature Using Bony Markers of the Proximal End of the Ulna: An Anatomical Perspective

Zenodo (CERN European Organization for Nuclear Research)
Cervical and Thoracic Myelopathy
article

Forensic Estimation of Stature Using Bony Markers of the Proximal End of the Ulna: An Anatomical Perspective

article en

Abstract

Background: Estimating stature from skeletal remains is an essential tool in forensic anthropology, especially when only fragmentary remains are available. The ulna, being a commonly preserved long bone in forensic cases, offers significant potential for height estimation, particularly from the bony markers at its proximal end. Objective: This study aims to establish a reliable method for estimating human stature based on the bony markers of the proximal ulna, focusing on its anatomical features such as the anteroposterior and transverse diameters, as well as the maximum length. Methods: The study included 100 adult human skeletal specimens (50 males, 50 females) with intact ulnas. Various bony measurements of the proximal ulna were taken using digital callipers, including the maximum length, anteroposterior, and transverse diameters. Statistical analysis, including correlation coefficients and regression models, was applied to establish the relationship between these markers and stature. Results: A strong positive correlation (r = 0.85) was found between the proximal ulna measurements and the stature of individuals. The anteroposterior diameter exhibited the highest predictive accuracy (r² = 0.72) for stature estimation. A regression equation was derived for both sexes to estimate stature based on the proximal ulna’s measurements. Conclusion: The bony markers of the proximal ulna provide a valuable and reliable method for estimating stature, particularly in forensic cases involving partial skeletal remains.

Zenodo (CERN European Organization for Nuclear Research)
Sarojini Naidu Medical College (IN)
Openalex Percentile: Top 45%
Cervical and Thoracic Myelopathy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.