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Estimation of Stature from Index Finger and Ring Finger Length of Male Adults of Central Punjab


Article Information

Title: Estimation of Stature from Index Finger and Ring Finger Length of Male Adults of Central Punjab

Authors: Khalid Mahmood, Asiya Fazal, Gul Maria, Muhammad Asif, Anwar Khan, Abdul Hamid

Journal: Pakistan Journal of Health Sciences (PJHS)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30

Publisher: Lahore Medical Research Center

Country: Pakistan

Year: 2025

Volume: 6

Issue: 8

Language: en

DOI: 10.54393/pjhs.v6i8.3220

Keywords: AuthenticationLegal MedicineSkeletal AnalysisSecond Digit LengthFourth Digit Length Body Height

Categories

Abstract

Forensic anthropology often relies on skeletal measurements for identifying unknown deceased individuals, with stature estimation being pivotal in cases involving dismembered remains. Objectives: To examine the correlation between stature and the lengths of the index and ring fingers in Central Punjabi adult male and to develop population-specific regression equations for height estimation. Methods: A descriptive cross-sectional study was conducted on 246 male adults aged 21-40 from Central Punjab at PGMI/Ameer-ud-Din Medical College Lahore. Height and finger lengths were measured using standardized methods, with a Vernier caliper for finger lengths. Data were analyzed using SPSS version 25.0. Pearson’s correlation and regression analyses determined relationships and predictive models. Results: Statistically significant moderate positive correlations were observed between stature and both index and ring finger lengths. The right index finger length showed the highest correlation (r=0.512, p<0.001). Regression equations were derived, with Right Index Finger Length providing the best height prediction (R² = 0.259). Conclusions: Index and ring finger lengths can reliably estimate stature in Central Punjabi male, with right-hand measurements proving more predictive. Population-specific regression models enhance accuracy and provide important forensic tools for victim identification from mutilated remains. These findings bolster forensic research by enabling better biological profiling in this demographic.


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