Estimation of stature from finger measurements among the population of Karnataka state Lakshmi K. Shri1, Deepthi Hari1, Taur G Vikrantsing1, Sridhar Tavishi1, Hrideek P1, Kallumpurat Akhilesh2,*, Thomas Mebin Wilson2, Simon Monica2 1B.Sc. Forensic Science (Honours) Student, Department of Forensic Science, JAIN (Deemed to be University), Bangalore, Karnataka, India - 560027 2Assistant Professor, Department of Forensic Science, JAIN (Deemed to be University), Bangalore, Karnataka, India - 560027 *Corresponding Author Dr. Akhilesh Kallumpurat, Assistant Professor, Department of Forensic Science, JAIN (Deemed to be University), Bangalore, Karnataka, India - 560027, Email: akhil.arya5@gmail.com
Online published on 19 March, 2025. Abstract Forensic investigations often face challenges in identifying corpses when traditional methods are infeasible due to severe body damage. Hence, estimating stature through anthropometric parameters becomes valuable for identification. For forensic applications, this study aims to establish a correlation between finger length and stature in the Karnataka population. Finger lengths from 200 participants (115 females and 85 males) aged 18-30 from Karnataka were measured using vernier calipers, and stature was recorded with anthropometric rods. Participants with finger disabilities were excluded. Each finger was measured three times for precision, and statistical analyses were conducted using SPSS software. Pearson correlation coefficients and multiple regression analyses were used to evaluate the relationship between finger length and stature, with a significance level set at p<0.01. Results showed significant sex differences in height and finger length, with males having higher mean values. Independent sample t-tests revealed statistically significant differences (p<0.001) in finger length measurements between males and females. Pearson correlation coefficients, ranging from 0.58 to 0.66, indicated a moderate positive correlation between finger length and stature. Multiple regression analysis demonstrated a strong relationship between finger length and stature, with an R-value of 0.72 and an R² of 0.51, suggesting that 51% of the variation in stature could be predicted by finger length. The regression model was statistically significant (F=19.51, p=0.001). These findings indicate that finger length can be a reliable predictor of stature in the Karnataka population, aligning with similar studies in other regions. This method has significant forensic implications, mainly when traditional identification methods are unavailable. Further longitudinal research is recommended to improve the accuracy of stature estimation, especially for cases involving adolescents or incomplete remains. Top Keywords Forensic Anthropology, Anthropometry, Stature Estimation, Finger Length. Top |