Stature Estimation from Foot Measurements in Primary Students: A Case Study in Bangladesh

Abstract

This study investigates the relationship between foot anthropometric measurements and human stature among primary school students in Bangladesh, aiming to establish reliable anthropometric models for forensic and ergonomic applications. Employing data from 360 children (180 males and 180 females), the study utilizes linear and multiple regression models to establish predictive equations for stature estimation. Foot measurements, including foot length and width for both feet, were recorded with high precision. Results reveal strong correlations between foot dimensions and stature, with foot lengths showing higher predictive accuracy for males, and foot widths being more effective for females. Multiple regression analysis enhances predictive precision, with gender-specific models significantly improving accuracy. The female-specific multiple regression model demonstrated an almost perfect prediction correlation (R = 0.9997), compared to the male model (R = 0.9524). The findings underscore the necessity of using gender-specific equations due to variations in growth patterns and body proportions. This research fills a critical gap in anthropometric studies focused on children and presents practical applications for forensic science and ergonomic design in resource-limited settings. Additionally, it contributes to the standardization of foot dimensions based stature estimation techniques, enhancing their applicability for diverse demographic groups.