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ORIGINAL ARTICLE
Year : 2016  |  Volume : 2  |  Issue : 4  |  Page : 222-228

Estimation of Maximum Tibia Length from its Measured Anthropometric Parameters in a Nigerian Population


Department of Anatomy, Faculty of Basic Medical Science, Cross River University of Technology, Okuku Campus, Calabar, Cross River, Nigeria

Correspondence Address:
Esomonu Godfrey Ugochukwu
Department of Anatomy, Faculty of Basic Medical Science, Cross River University of Technology, Okuku Campus, Calabar, Cross River
Nigeria
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2349-5014.197928

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Reliable estimation of stature from skeletal remains will continue to play an important role in assessing a variety of forensic anthropological and archaeological issues. In the present study, we studied and collated data on the morphometry of the tibia as well as analyzing its segment that shows significant correlation with its maximum length and consequently formulating linear regression equations for estimating maximum tibia length (MTL) which is specific for the Nigeria population. A total number of 68 intact adult human tibia bones were used (35 right and 33 left). Thirteen anthropometric parameters were measured including the MTL. The mean differences between right and left bones of all the measured parameter were not statistically significant except for the mean shaft circumference. The correlation coefficient between MTL and the bicondylar tibial width (BTW), anterior-posterior intercondylar diameter (APID), anterior-posterior diameter of medial condyle (APDMC), midshaft transverse diameter (MSTD), and distal articular surface length (DASL) were seen to be significant (P < 0.05) only in the right tibia; therefore, the linear regression equations for estimation of MTL from these parameters for the right tibia were also significant (P < 0.05). The results of our study concluded that it is possible to estimate the maximum length of the right tibia from the BTW, APID, APDMC, MSTD, and DASL with relative accuracy. Our study may be useful for forensic investigations for the identification of the remains of unknown bodies in a Nigerian population.


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