Fawehinmi, Hakeem Babatunde and Oghenemavwe, Loveday Ese and Okoh, Peter Done and David, Lekpa Kingdom and Oparaocha, Chile A. and Ebieto, Celestine Ebieto and Amadi, Michael Anozie and Irozulike, Faustina Chiamaka (2025) Stature Estimation Using Arm Span, Arm Length, Forearm-hand Length, and Foot Length of Hausa Ethnic Group of Nigeria. Asian Journal of Medical Principles and Clinical Practice, 8 (1). pp. 94-100.
Full text not available from this repository.Abstract
Background: Stature estimation has been useful in identifying body remains, especially during earthquakes, accidents, fire disasters, and other disasters.
Aim: To predict stature estimation using arm span, arm length, forearm-hand length and foot length among the Hausa ethnic group of Nigeria.
Methods: The study adopted a descriptive cross-sectional study design with a total of 300 subjects, (150 males and 150 females) between the ages of 18-35 years recruited for the study. The mega-size calliper was used to measure the anthropometric variables. Data analysis was done using a statistical package for social sciences version 23. Multivariate regression was used to estimate sex and stature. A probability less than 0.05 (p<0.05) was considered statistically significant and 95% was denoted as confidence level.
Results: The multivariate regression among the sexes to estimate stature using arm span, arm length, forearm-hand length, and foot length shows (R=0.81, SEE= 4.23). The stature predictive power of females was (R= 0.77, SEE=3.67) and males’ stature (R= 0.69, SEE=4.70). The highest correlation was found in females between arm span and stature (r=0.71) and males between foot length and stature (r=0.75).
Conclusion: The study observed that arm span and foot length show a positive correlation between stature in both sexes. However, arm and forearm-hand lengths show a moderate positive correlation. This research will be useful in forensics, anthropology and bioarchaeology.
Item Type: | Article |
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Subjects: | Open Library Press > Medical Science |
Depositing User: | Unnamed user with email support@openlibrarypress.com |
Date Deposited: | 28 Mar 2025 12:43 |
Last Modified: | 28 Mar 2025 12:43 |
URI: | http://data.ms4sub.com/id/eprint/2159 |