Stature Estimation Using Different Upper Limb Anthropometric Measurements

Authors

Naira Fahmi Girgis, Forensic Medicine and Clinical Toxicology department, Faculty of medicine, Menoufia University, Shebin Elkom, Menoufia, Egypt.
Amira Mohammed Elseidy, Forensic Medicine and Clinical Toxicology department, Faculty of medicine, Menoufia University, Shebin Elkom, Menoufia, Egypt.
Maha Salah Elnady Afify, Forensic Medicine and Clinical Toxicology department, Faculty of medicine, Menoufia University, Shebin Elkom, Menoufia, Egypt.Follow
Shaimaa Abdel-hamid Hassanein, Radiology Department, Faculty of medicine, Menoufia University, Shebin Elkom, Menoufia, Egypt
Shireen Ragab Slima, Forensic Medicine and Clinical Toxicology department, Faculty of medicine, Menoufia University, Shebin Elkom, Menoufia, Egypt

Subject Area

Toxicology

Article Type

Original Study

Abstract

Objectives: to analyze percutaneous and radiographic measurements of some upper limb parameters (ulna and hand) and their relationship to stature via the use of statistical analysis in an Egyptian sample, Menoufia governorate.

Background: Identification is the process of identifying a person, based on specific characteristics which differentiate him from other individuals. One key components of a person's identity is their stature. As there is a significant relationship between the dimensions of various body parts and stature, particularly bone lengths, estimating stature using long bone measurements provides an essential tool in the identification of unknown remains.

Methods: The cross-sectional study was conducted on an Egyptian sample, Menoufia governorate. All the anthropometric measurements were taken independently on the left side of each individual in a good, illuminated room by one observer.

Results: a study conducted on 387 Egyptian participants aged from 21 to 40 years old with different occupations and most of them had middle socioeconomic standard. Single linear regression formula obtained from percutaneous and radiological ulnar length showed the least standard error of estimate. Regarding to R² value, the accuracy of multiple regression equation of percutaneous and radiologically measured parameters represented 60% and 59% respectively.

Conclusion: ulnar length and hand length were the best parameters to predict stature. Simple linear regression equation using single parameter could significantly be used for stature estimation. For stature prediction, using multiple regression equations is more accurate than simple regression equations.

Recommended Citation

Girgis, Naira Fahmi; Elseidy, Amira Mohammed; Afify, Maha Salah Elnady; Hassanein, Shaimaa Abdel-hamid; and Slima, Shireen Ragab (2024) "Stature Estimation Using Different Upper Limb Anthropometric Measurements," Menoufia Medical Journal: Vol. 37: Iss. 2, Article 7.
DOI: https://doi.org/10.59204/2314-6788.3253