Cross sectional, analytical study to derive the multivariate discriminant and stepwise discriminant analytical formula for sex determination from femoral variables from Maharashtra region in India.

Journal Title: Applied Physiology and Anatomy Digest - Year 2016, Vol 1, Issue 1

Abstract

Introduction: The evolution is continuous process which also affects the structure of bones which is also influenced by environment, genetics, socio-cultural factors, diet. This leads us to think that it might be necessary to update the available present standards of skeletal identification. India is a vast country with a number of different populations but only a few studies pertaining to femur are available from this part of world and can not be applied to the other group. Moreover, most of the studies of sex determination have not used latest statistical techniques. Therefore, in the present study the femur was studied for setting the standards of sex determination in the population of Maharashtra, India using multivariate discriminant analysis and then stepwise discriminant analysis. Material and method: 1068 adult human femora of known sex population available in bone banks of a various medical colleges in Maharashtra were studied for different 13 variables. Then student’s t-test, multivariate discriminant analysis and stepwise discriminant analysis was applied to find out most accurate method and variables for sex discrimination. Results: weight of femur had lowest Wilk’ lambda and highest F-ratio and thus it was the best parameter among the others as a sex discriminator. Other parameters following the order are circumference of head, circumference of mid shaft, transverse diameter of head, physiological length, length of shaft, vertical diameter of head, transverse diameter of mid shaft, minimum AP thickness of neck, AP diameter of mid shaft, maximum length and the last two parameters in this order were angle of torsion and neck-shaft angle. Using this method of classification of femora86.07% male femora and 82.02% female femora were sexed accurately. Overall accuracy of classification was 84.08%. For Stepwise discriminant analysis weight, circumference of head and minimum AP thickness of neck were the best parameters and femora sexed accurately was 92.13% for females and 92.41% for male. The overall accuracy was 92.22%. Conclusion: multivariate stepwise discriminant analysis improved the accuracy of classification of femora. The sectioning point (Z0) derived by the present study is a standard for the sexing the femora from Maharashtra region.

Authors and Affiliations

Prathmesh Kambale, Sheetal Mhaske

Keywords

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  • EP ID EP552727
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How To Cite

Prathmesh Kambale, Sheetal Mhaske (2016). Cross sectional, analytical study to derive the multivariate discriminant and stepwise discriminant analytical formula for sex determination from femoral variables from Maharashtra region in India.. Applied Physiology and Anatomy Digest, 1(1), 31-44. https://europub.co.uk/articles/-A-552727