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Regression Equation Analysis on Inter-Acromial Length for Stature Estimation in South India Population

Nishat Ahmed Sheikh, B. Vasant Nayak

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Indian Journal of Forensic Medicine and Pathology 12(1):p 13-18, January-March 2019. | DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.12119.3

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Nayak BV, Sheikh NA. Regression equation analysis on inter-acromial length for stature estimation in South India population. Indian J Forensic Med Pathol. 2019;12(1):13-17.

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Received : December 17, 2018         Accepted : January 14, 2019          Published : March 30, 2019

Abstract

Background: Stature of Humans has acted as symbol for the authority, also physical prowess and there had been dominance of stature over other living things. Identity of individual or skeleton remains especially the stature also the body weight had acted as an important factor in its establishment. Place of Study: Department of Forensic Medicine Gandhi Medical College Musheerabad, Secunderabad, Hyderabad. Material and Method: The study is made on the Volunteers. Total 194 subjects were selected irrespective of their caste, religion, dietary habits & socio-economic status at Gandhi Medical College Musheerabad, Secunderabad, Hyderabad. Observation and Discussion: Stature of Male is highly correlated to Inter-Acromial length (i.e. Correlation coefficient = 0.827) with p-value is 0.000000. Therefore, Regression equation of Male Inter- Acromial length on stature is, Inter-Acromial Length = 0.239 x Stature + 5.4532. Similarly for Female Stature is highly correlated to Inter-Acromial length (i.e. Correlation coefficient = 0.70) with p-value is 0.0000. Therefore, Regression equation of Female Inter- Acromial length on stature is, Inter-Acromial Length = 0.243 x Stature + 3.657 Combined Stature and Inter-Acromial length is highly correlated (i.e. Correlation Coefficient = 0.8163) with p-value is 0.00000. Therefore, the Regression equation of combined Inter- Acromial length on stature is, Inter Acromial Length = 0.2584 x Stature + 1.69481. Conclusion: The present study has established definite correlation between stature and Inter acromial length and also regression equations have been established.


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Cite this article

Nayak BV, Sheikh NA. Regression equation analysis on inter-acromial length for stature estimation in South India population. Indian J Forensic Med Pathol. 2019;12(1):13-17.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator

Received Accepted Published
December 17, 2018 January 14, 2019 March 30, 2019

DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.12119.3

Keywords

Stature EstimationInter-Acromial LengthRegression Equation

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Received December 17, 2018
Accepted January 14, 2019
Published March 30, 2019

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator

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