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Stature Estimation from Lower Limb Anthropometry using Linear Regression Analysis: A Study on the Malaysian
S N Abu Bakar1, A Aspalilah2, I AbdelNasser3
1Forensic Unit, Department of Pathology, Universiti Kebangsaan Malaysia Medical Centre, Jalan Yaakob Latif, Bandar Tun Razak, 56000 Kuala Lumpur, Malaysia.
La Clinica Terapeutica
|April 7, 2017
Summary
Stature estimation using lower limb bones is effective for identifying skeletal remains in Malaysia. Regression functions derived from measurements like leg and foot length accurately estimate stature.
Area of Science:
- Forensic Anthropology
- Biometrics
Background:
- Stature is a key identifier for human remains, crucial in forensic investigations involving decomposed or mutilated bodies.
- Accurate stature estimation aids in narrowing down the identity of missing persons.
Purpose of the Study:
- To develop regression functions for stature estimation.
- To utilize lower limb bones for stature estimation in the Malaysian population.
Main Methods:
- Measurements of lower limb bones (thigh length, lower leg length, leg length, foot length, foot height, foot breadth) were taken from 87 Malaysian adults.
- Statistical analyses included independent t-tests, Pearson's correlation, and linear regression to establish stature estimation equations.
- Paired t-tests compared actual stature with stature estimated using the derived equations.
Main Results:
- Significant differences in lower limb measurements were found between males and females (p<0.05).
- Thigh length, leg length, and foot length showed strong positive correlations with stature (r=0.75, 0.81, 0.69 respectively).
- Developed regression equations provided accurate stature estimations with no significant difference from actual stature.
Conclusions:
- Regression functions based on lower limb bone measurements are reliable for stature estimation.
- This method is valuable for identifying skeletal remains within the Malaysian population.