Zulkifly, N. R. and Wahab, R. A. and Layang, E. and Ismail, D. and Desa, W. N. S. M. and Hisham, S. and Mahat, N. A. (2018) Estimation of stature from hand and handprint measurements in Iban population in Sarawak, Malaysia and its applications in forensic investigation. Journal of Forensic and Legal Medicine, 53 . pp. 35-45. ISSN 1752-928X
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Abstract
Handprints and dismembered hands are commonly found during crime scene investigations and disaster victim identifications, respectively. It has been indicated that the accuracy of handprint and hand measurements for estimating stature maybe population specific. Since Iban is the largest ethnic population in Sarawak, Malaysia and because the application of anthropometry of hand and handprint within this population as well as other populations within the Southeast Asian countries remain unreported, this present study that investigated the reliability and accuracy of these two anthropometric aspects acquires forensic significance. Upon measuring the height, 21 measurements were recorded on each hand and the corresponding handprint of 50 male and 52 female consented adult Iban subjects. Using univariate statistics as well as simple and multiple regression analyses, interpretation of the measurements examined here was attempted. Results revealed that lengths of hand and handprint are the more reliable traits for estimating stature in both the male and female Iban subjects (p < 0.05) with correlation strength ranging from 0.60 to 0.76. Comparable to the established skeletal standards for hand, the stature prediction accuracy using hand and handprint measurements investigated in this research ranged between 4.29 and 5.78 cm. Hence, this research provided the first forensic standard for estimation of stature among the Iban population in Sarawak that may prove useful for crime scene investigations and disaster victim identifications in Malaysia.
Item Type: | Article |
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Uncontrolled Keywords: | Iban population, Malaysia, stature estimation |
Subjects: | Q Science > Q Science (General) |
Divisions: | Science |
ID Code: | 81922 |
Deposited By: | Narimah Nawil |
Deposited On: | 30 Sep 2019 13:04 |
Last Modified: | 30 Sep 2019 13:04 |
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