| ORIGINAL ARTICLE |
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| Year : 2021 | Volume
: 70
| Issue : 4 | Page : 216-220 |
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Estimation of stature from stride length and lower limb length of efiks in calabar South, Cross River State, South-South Nigeria
Esomonu Godfrey Ugochukwu1, Egwu Ogugua Augustine2, Eno Samuel3, Biose Ifechukwude1
1 Department of Anatomy, Cross River University of Technology, University of Calabar, Cross River State, Nigeria
2 Department of Anatomy, Alex Ekwueme Federal University Ndufu-Alike, Ebonyi State, Ebonyi, Nigeria
3 Department of Anatomy, University of Calabar, Cross River State, Nigeria
Correspondence Address:
Dr. Esomonu Godfrey Ugochukwu
Department of Anatomy, Cross River University of Technology, Cross River State
Nigeria
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/JASI.JASI_63_20
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Introduction: The stride length of individuals is believed to correlate with their stature. The aim of the present study was to estimate stature using stride length and lower limb length of Efiks who are indigenes of Calabar South, Cross River State, South-South Nigeria. Material and Methods: Stature, lower extremity length, and stride length were measured and recorded for 300 subjects, 150 each of males and females who were recruited randomly from the community. The subjects were between 15 and 45 years. Results: Data obtained showed that the mean values for all measured anthropometric parameters including stature were higher in males than in females (P < 0.05). The correlation coefficient value derived from the linear regression equation for the estimation of stature using stride length and lower limb length revealed that there is a significant relationship between stature and the measured parameters for the studied population. Discussion and Conclusion: The positive correlation between stature and the measured parameters showed that stature can be estimated using the derived linear regression equations specific for the Efik natives of Cross River State. This can be of immense value in the field of crime detection toward stature estimation by forensic experts.
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