THE POTENTIAL ROLE OF SOME LOWER LIMB PARAMETERS IN STATURE ESTIMATION

Document Type : Original Article

Authors

1 forensic medicine and clinical toxicology department, faculty of medicine, Menoufia University

2 Forensic medicine & clinical toxicology department Faculty of medicine Menoufia University Shebin El Kom EGYPT

3 forensic medicine and clinical toxicology department, faculty of medicine, menoufia university

4 Radiodiagnosis Department, Faculty of Medicine - Menoufia University

5 forensic medicine and clinical toxicology department faculty of medicine, Menoufia University

Abstract

BACKGROUND: Establishing a person’s identity is known as personal identification. In both man-made and natural disasters, personal identification becomes necessary. Forensic anthropology is a subfield of physical anthropology that collaborates with other academic fields to better understand crime and its investigation. Anthropometry may be used to identify an individual's biological profile, including age, sex, ethnicity, and stature.
OBJECTIVES: The aim of the present study was to analyze percutaneous and radiographic measurements of some different bones of the lower limb (tibia and foot) and their relationship to stature via the use of statistical analysis in an Egyptian sample, in Menoufia governorate.
METHODS: The study was conducted on an Egyptian sample, in Menoufia governorate. Each parameter (tibial length, foot length and foot width) was measured by two methods, percutaneously and radiologically.
RESULTS: This study was conducted on 387 Egyptian participants. The age of the participants included in this study ranged from 21 to 40 years old. There were significant positive correlations between stature and percutaneous and radiological measures of the left lower limb in the studied participants. Single linear regression formula obtained from percutaneous and radiological tibial length showed the least standard error of estimate. The accuracy of multiple regression equations obtained from percutaneous and radiological measures of left lower limb parameters was 62% and 58% respectively.
CONCLUSION: Tibial length was the most significant parameter to predict stature (with the least standard error of estimate (SEE) and the highest value of Pearson correlation coefficient. A single parameter could significantly be used for stature estimation. For stature prediction, using multiple regression equations is more accurate than simple regression equations.

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