Back to Search Start Over

Estimation of stature from radiographically determined lower limb bone length in modern Chinese.

Authors :
Zhang K
Zhan MJ
Cui JH
Luo YZ
Qiu LR
Deng LP
Li ZL
Chen XG
Deng ZH
Source :
Journal of forensic and legal medicine [J Forensic Leg Med] 2021 Apr; Vol. 79, pp. 101779. Date of Electronic Publication: 2019 Feb 22.
Publication Year :
2021

Abstract

To develop population - specific stature prediction equations from measurements of the lower limb bone in a contemporary Chinese. 303 individuals of Han group in Western China, including 201 females and 102 males were collected. The study sample was randomly divided into two subgroups. A calibration sample, which consisted of 171 females and 87 males, was used to develop the regression formula. A validation sample comprising the remaining 30 female and 15 male individuals was then used to test the predictive accuracy of the established formula. The regression equations were developed from intact bones and fragments of the femur, tibia and fibula, the maximum lengths of femur, tibia, and fibula were highly correlated with the stature. The maximum length of femur provide the most accurate result with the prediction accuracy of 3.84 cm for unknown sex, 4.00 cm in the male group, 3.45 cm in the female group, 3.61 cm in the group with age no more than 45, 3.45 cm in the group with age above 45. Moreover, the multiple regression equations were developed, and they portray a more accurate stature in instances in which the femur, tibia and fibula are available. This paper provides indications that the femur, tibia and fibula are important bones for stature estimation and they could be effectively used in forensic cases.<br /> (Copyright © 2019 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

Details

Language :
English
ISSN :
1878-7487
Volume :
79
Database :
MEDLINE
Journal :
Journal of forensic and legal medicine
Publication Type :
Academic Journal
Accession number :
33896594
Full Text :
https://doi.org/10.1016/j.jflm.2019.02.012