Articles

Stature Estimation from Finger Length by Regression Equation

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Background: Estimation of stature from mutilated body parts, as in mass disasters and in many heinous crimes, has always intrigued the Forensic Pathologist and investigating agencies. Every part of human being grows in correlation to each other. Many authors have conducted various studies to find the correlation amongst various body parts and found positive correlation. The present study has correlated the length of all fingers with the stature of the individual.

Methodology: The study was carried out on 150 healthy voluntary subjects (75 male and 75 female) of age 18-25 years. Instruments like Stadiometer and Vernier caliper was used for height and finger length measurements respectively.

Result: Mean values of stature and finger length were larger in males as compared to females. Positive and strong correlation was found between stature and right index finger length in females and left middle finger length in males whereas right and left middle finger length in total subjects showed statistically significant correlation (P-value < 0.05).

Conclusion: The findings of the study can be useful only when an intact finger is examined. As very less information is available related to correlation between finger length and stature of individual, there is need of more research from different geographical locations.

Stature Estimation from Dimension of Hands and Hand Prints in Dehradun Population

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Background: Stature estimation by hand dimension is one of the common parameters in anthropometry but using the handprints for the same and its positive correlation with height of the subject, makes it a more useful parameter for identification of suspects who have left hand prints at the crime scene.[1].

Methodology: A cross-sectional study was carried out on 150 (75 males and 75 females) healthy subjects after taking voluntary informed consent. Stature was measured by stadiometer and hand and hand print dimension were measured by vernier caliper. Data was analysed by Statistical Package for Social Sciences (SPSS) version 20.

Results: All parameter’s measurement were higher in male as compared to female subjects and shown range of weak to strong but positive correlation with height. Maximum positive correlation was observed in total population whereas minimum positive correlation was observed in between left hand breadth and left hand print breadth with height in female subjects. All the parameters were shown statistically significant correlation with height as p value was less than 0.05.

Conclusion: The regression models thus formed is able to predict stature would be beneficial in challenges of identification of humans.