Background: Stature is one of the important aspects of biological profile for an unknown individual in forensic anthropology. As stature is population-specific, this study was conducted in Hospital Sungai Buloh, Hospital Tapah and Hospital Kampar to develop regression for stature estimation in the Malaysian population. About 90 subjects from 23 to 47 years old were selected for radiography of upper limbs. The standing height of the subject was measured beforehand for each subject. The maximum length of the bones was measured on the x-ray film in cm, and analysis was performed by SPSS version 23. Results: Results showed significant correlations between stature and upper limb bones (p < 0.05). There was significant difference between males and females in stature (p < 0.05). However, there was no significant difference found in stature among age and demic groups (p > 0.05). About eight regression equations were developed, of which three for single bone and one in combination of three bones in males and females. The regression equations with combination of bones showed the highest correlation coefficient (r). However, these regression equations are not suitable yet to be used practically in Malaysian population due to high standard error of estimates. Conclusion: In brief, the research study has to be validated with a larger sample size to represent the Malaysian population.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.