TY - JOUR
T1 - Stature estimation from lower limb anthropometry using linear regression analysis
T2 - A study on the Malaysian population
AU - Bakar, Siti Noorain Abu
AU - Alias, Aspalilah
AU - Ibrahim, Abdel Nasser
AU - Abdullah, Nurliza
AU - Judi, Hairuliza Mohamed
AU - Swarhib, Mohamed
AU - Das, Srijit
AU - Nor, Faridah Mohd
N1 - Publisher Copyright:
© Società Editrice Universo (SEU).
PY - 2017
Y1 - 2017
N2 - Introduction. Stature is one of the characteristics that could be used to identify human, besides age, sex and racial affiliation. This is useful when the body found is either dismembered, mutilated or even decomposed, and helps in narrowing down the missing person's identity. Aim. The main aim of the present study was to construct regression functions for stature estimation by using lower limb bones in the Malaysian population. Materials and Methods. The sample comprised 87 adult individuals (81 males, 6 females) aged between 20 to 79 years. The parameters such as thigh length, lower leg length, leg length, foot length, foot height and foot breadth were measured. They were measured by a ruler and measuring tape. Statistical analysis involved independent t-test to analyse the difference between lower limbs in male and female. The Pearson's correlation test was used to analyse correlations between lower limb parameters and stature, and the linear regressions were used to form equations. The paired t-test was used to compare between actual stature and estimated stature by using the equations formed. Result. Using independent t-test, there was a significant difference (p < 0.05) in the measurement between males and females with regard to leg length, thigh length, lower leg length, foot length and foot breadth. The thigh length, leg length and foot length were observed to have strong correlations with stature with p= 0.75, p= 0.81 and p= 0.69, respectively. Linear regressions were formulated for stature estimation. Paired t-test showed no significant difference between actual stature and estimated stature. Conclusion. It is concluded that regression functions can be used to estimate stature to identify skeletal remains in the Malaysia population.
AB - Introduction. Stature is one of the characteristics that could be used to identify human, besides age, sex and racial affiliation. This is useful when the body found is either dismembered, mutilated or even decomposed, and helps in narrowing down the missing person's identity. Aim. The main aim of the present study was to construct regression functions for stature estimation by using lower limb bones in the Malaysian population. Materials and Methods. The sample comprised 87 adult individuals (81 males, 6 females) aged between 20 to 79 years. The parameters such as thigh length, lower leg length, leg length, foot length, foot height and foot breadth were measured. They were measured by a ruler and measuring tape. Statistical analysis involved independent t-test to analyse the difference between lower limbs in male and female. The Pearson's correlation test was used to analyse correlations between lower limb parameters and stature, and the linear regressions were used to form equations. The paired t-test was used to compare between actual stature and estimated stature by using the equations formed. Result. Using independent t-test, there was a significant difference (p < 0.05) in the measurement between males and females with regard to leg length, thigh length, lower leg length, foot length and foot breadth. The thigh length, leg length and foot length were observed to have strong correlations with stature with p= 0.75, p= 0.81 and p= 0.69, respectively. Linear regressions were formulated for stature estimation. Paired t-test showed no significant difference between actual stature and estimated stature. Conclusion. It is concluded that regression functions can be used to estimate stature to identify skeletal remains in the Malaysia population.
KW - Anthropology
KW - Forensic
KW - Lower leg length
KW - Malaysian
KW - Stature
KW - Thigh
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U2 - 10.7417/CT.2017.1988
DO - 10.7417/CT.2017.1988
M3 - Article
C2 - 28383619
AN - SCOPUS:85017368267
SN - 0009-9074
VL - 168
SP - 84
EP - 87
JO - Clinica Terapeutica
JF - Clinica Terapeutica
IS - 2
ER -