TY - JOUR
T1 - An Estimation of Stature and Sex using Various Anthropometric Parameters in South Indian Population
AU - Yadav, Swati
AU - Nayak, Vinod C.
AU - Palimar, Vikram
AU - Gupta, Chandni
AU - Chetal, Janvi Ram
N1 - Publisher Copyright:
© 2023 Journal of Forensic Science and Medicine.
PY - 2023
Y1 - 2023
N2 - Estimation of stature and sex is very important to identify the unidentified human remains to solve the crime or in the case of mass destruction. The stature can be estimated using various regression formulas and it differs depending on the population and the regions. To predict stature and sex from various anthropometric parameters in south Indian population. One hundred adults (living individuals) belonging to the age group of 20-80 years were included in the study. A total of 22 anthropometric parameters were measured for the study. Using the regression formula, the stature is been estimated. Statistical analysis of all the parameters was done. Correlation coefficient test was done to correlate all the parameters with stature and sex. Based on the coefficient correlation result, it was found that for stature estimation leg length followed by thigh length is the best and ear length (EL) is the worst in females. In males for stature estimation, forearm length (FL) is the best and nose width (NW) is the worst. In estimating sex height, weight, foot length and width, hand length and width, arm and FL, inter-acromial distance, cranial height and width, face length and width, NW and nasal height and EL were found to be significant. Results of this study will be useful for forensic anthropologist for estimating stature and sex. The regression equations obtained in this study are population specific and they can be used for estimating stature in the south Indian population.
AB - Estimation of stature and sex is very important to identify the unidentified human remains to solve the crime or in the case of mass destruction. The stature can be estimated using various regression formulas and it differs depending on the population and the regions. To predict stature and sex from various anthropometric parameters in south Indian population. One hundred adults (living individuals) belonging to the age group of 20-80 years were included in the study. A total of 22 anthropometric parameters were measured for the study. Using the regression formula, the stature is been estimated. Statistical analysis of all the parameters was done. Correlation coefficient test was done to correlate all the parameters with stature and sex. Based on the coefficient correlation result, it was found that for stature estimation leg length followed by thigh length is the best and ear length (EL) is the worst in females. In males for stature estimation, forearm length (FL) is the best and nose width (NW) is the worst. In estimating sex height, weight, foot length and width, hand length and width, arm and FL, inter-acromial distance, cranial height and width, face length and width, NW and nasal height and EL were found to be significant. Results of this study will be useful for forensic anthropologist for estimating stature and sex. The regression equations obtained in this study are population specific and they can be used for estimating stature in the south Indian population.
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U2 - 10.4103/jfsm.jfsm_33_22
DO - 10.4103/jfsm.jfsm_33_22
M3 - Article
AN - SCOPUS:85212341398
SN - 2349-5014
VL - 9
SP - 130
EP - 136
JO - Journal of Forensic Science and Medicine
JF - Journal of Forensic Science and Medicine
IS - 2
ER -