ORIGINAL ARTICLE |
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Year : 2014 | Volume
: 2
| Issue : 1 | Page : 23-28 |
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Stature estimation using right digits and palm length in IGBO population, Nigeria
Ekezie Jervas1, Anibeze Chike Ikechukwu Patrick2, Akpuaka Frank Chinedu2, Anyanwu Godson Emeka3, Onwukamuche Chikwado Kingsely4, Uloneme Godwill Chinedu5
1 Department of Prosthesis and Orthopaedic Technology, School of Health Technology, Federal University of Technology, Owerri, Nigeria 2 Department of Anatomy, College of Medicine, Abia State University, Uturu, Nigeria 3 Department of Anatomy, College of Medicine, University of Nigeria, Enugu Campus, Nigeria 4 Department of Orthopaedic Surgery, Trauma Unit, Federal Medical Centre, Owerri, Nigeria 5 Department of Anatomy and Neurobiology, College of Medicine, Imo State University, Owerri, Nigeria
Correspondence Address:
Ekezie Jervas Department of Prosthesis and Orthopaedic Technology, School of Health Technology, Federal University of Technology, P.M.B 1526 Owerri Nigeria
Source of Support: None, Conflict of Interest: None | Check |
DOI: 10.4103/2315-7992.143405
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Introduction: Estimation of stature is an important anthropometric tool which helps in the identification of an individual. The dimensions of the hand have been used for the determination of age, sex, and stature of an individual. Materials and Methods: The present study examines the relationship between stature and hand dimensions of a unique ethnic group in Nigeria, the Igbos. Stature (Y), Palm length (PL), hand breath (HB), first digit length (1 st DL), second digit length (2 nd DL), third digit length (3 rd DL), fourth digit lengths (4 th DL) and fifth digit length (5 th DL) of 211 subjects comprising 123 females and 88 males (age range 16-45 years) were measured after obtaining an informed consent. The data obtained were analyzed using SPSS 17.0. Results: Sex differences were found to be highly significant (P < 0.0001) for all the measurements. Linear and multiple regression equations for stature estimation were constructed using the aforementioned variables and multiplication factors were computed. The highest correlation coefficient between stature and PL provides the highest reliability and accuracy in estimating stature of unknown gender, while that of 2 nd DL provides that of the males specifically. Conclusion: Prediction of stature was found to be most accurate by using linear regression in both gender put together as well as in the females while multiple regression was most accurate for estimate of stature in the males. |
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