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Estimation of Stature using Lower Limb Dimensions among Adolescent Population of Kolkata: A Cross-sectional Study |
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Published: October 1, 2022 | DOI: https://doi.org/10.7860/IJARS/2022/55108.2820 |
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Soumali Biswas, Deepraj Mitra, Rivu Basu, Madhumita Datta 1. Assistant Professor, Department of Anatomy, IPGME&R, Kolkata, West Bengal, India. 2. Associate Professor, Department of Anatomy, Murshidabad Medical College, Berhampore, Murshidabad, West Bengal, India. 3. Associate Professor, Department of Community Medicine, Bankura Sammilani Medical College, Bankura, Murshidabad, West Bengal, India. 4. Assistant Professor, Department of Anatomy, Murshidabad Medical College, Berhampore, West Bengal, India. |
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Correspondence Address : Soumali Biswas, Deepraj Mitra, Rivu Basu, Madhumita Datta, Madhumita Datta, 93/1, Purbayan Residency. Safuipara, Garfa Main Road, Jadavpore, Kolkata-700078, West Bengal, India. E-mail: drdatta1984@gmail.com |
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| ABSTRACT |  | |||||
: Introduction: Apart from age, sex and racial affiliation, estimation of stature from human extremities is an important step in developing a biological profile for identification of an unknown individual especially when the body found is either dismembered, mutilated, or disfigured. Stature estimation plays an important role in developing a biological profile for human identification and provides as a valuable indicator for an unknown individual in a population. Aim: To identify stature using various lower limb dimensions. Materials and Methods: This analytical, cross-sectional study was conducted at Kolkata based school from March 2019 to September 2019 amongst 120 adolescent school going boys aged 10-16 yrs of age. The lower limb length, knee height, navicular height, foot length and foot breadth were taken by using standard anthropometric procedures. Pearson correlation coefficient was used for assessing relationship between stature and various lower limb dimensions. Significance of differences was tested using independent t-test. Results: This study showed that all variables of both right and left side were significant predictors of stature (p<0.01).While taking the prediction accuracy, lower limb length (right, R2=89.7%, and left, R2=89.7%), knee height (right, R2=55.4%, and left, R2=55.5%), foot breadth (right, R2=58.0%, and left, R2=56.8%) provided the highest prediction accuracy for stature. Following multivariate linear regression model, only four variables- lower limb length (both right and left side), foot breadth (both right and left side) significantly (p<0.001) contributed to prediction model for stature with the use of regression equations. Conclusion: All variables (lower limb length, knee height, foot length and breadth, navicular height) were found to be statistically significant predictors of stature. Amongst all these variables lower limb length, knee height and foot breadth provided highest prediction accuracy. These measurements of lower limbs and regression equations can be used for identification of unknown human remains, particularly in cases of dismembered bodies. | ||||||
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| Keywords : Anthropology, Foot navicular bone, Human identification, Linear regression, Lower extremity, Multivariate analysis | ||||||
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DOI and Others :
DOI: 10.7860/IJARS/2022/55108.2820
Date of Submission: Jan 21, 2022 Date of Peer Review: Feb 23, 2022 Date of Acceptance: May 12, 2022 Date of Publishing: Oct 01, 2022 AUTHOR DECLARATION: • Financial or Other Competing Interests: None • Was Ethics Committee Approval Obtained for this study? Yes • Was informed consent obtained from the subjects involved in the study? Yes • For any images presented appropriate consent has been obtained from the subjects. NA PLAGIARISM CHECKING METH |
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Original article / research
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