Abstract

Objectives: Estimating stature from long extremity bones, such as femur, humerus, is commonly usedduring forensic examinations. The aim of this study is to estimate stature by anthropometric measurements of right and left-hands second (2D) and fourth digit (4D) lengths. Method:The sample group consisted of 140 young adults, 70 male and 70 females (aged 21-19 years), whose 2D and 4D lengths were measured (using digital vernier caliper) of their left and right hands. One measurement was taken directly from landmarks from the proximal metacarpophalangeal crease to the finger tips. The program SPSS (Version 17.0) was used to make a descriptive analysis, Student’s t-test was usedto analyze the difference in height 2D and 4D between males and females. One-way ANOVA was usedto determine the potential interactions between anthropometric measurements within each other and stature. Pearson Correlation coefficient and related P values were also used. Statistical significance was assigned to p values <0.05. Linear and multiple regressions were also developed. Results:The differences between the right-and the left fingers length values were statistically significant for both sexes (p<0.001). In all, the measurements of males were significantly higher than females. The correlation coefficients between stature and the measurements of second and fourth digit were found to be positive and statistically significant. The highest correlation coefficient between stature and digit length for males regarded the right second digit (r=0.505), and for females, the left second digit (r=0.596). Regression equations were checked for accuracy by comparing the estimated stature and actual stature. Conclusion: Both regression models can...

Highlights

  • Anthropometric indices are traditionally used to study body shape variations between human populations [1]

  • One-way analysis of variance (ANOVA) was used to determine the potential interactions between anthropometric measurements within each other and stature

  • The differences between the right-and the left fingers length values were statistically significant for both sexes (p

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Summary

Introduction

Anthropometric indices are traditionally used to study body shape variations between human populations [1]. In forensic science, the determination of gender and the length of the missing skeleton fragments and the disintegrating human remains are of particular importance because of the increase in the number of catastrophic natural or manmade events which have caused massive numbers of death. These disasters, which include floods, tsunamis, earthquakes, plane crashes, train accidents, and terrorist attacks, often require victims to be identified from fragmented human remains [2-5]. The present study was undertaken to create a regression equation for the determination of relationships between stature and (2D) and (4D) lengths in Turkey From this direction, with the low error margin for size estimation, it is necessary to formulate regression formulas suitable for our population

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