Modelling stature estimation from segmental lower limb measurements based on orthoroentgenographic images in the Turkish population

The aim of this study was to model the relationship between segmental lower limb parameters and stature in a Turkish adult sample and to develop population-specific regression formulae. The study included 115 adults, 47 males and 68 females, with known stature. Pelvic segment height, thigh length, leg length, foot segment height, trochanteric segment length, and total lower limb segment length were measured on anteroposterior orthoroentgenography images. Sex differences were assessed using independent samples t-test, and associations with stature were evaluated using Pearson correlation and linear regression analyses. In males, pelvic segment height and thigh segment length were identified as the most significant predictors of stature in multiple regression analyses; in females, thigh segment length, leg segment length, and foot segment height were the most significant predictors. Total lower limb segment length and trochanteric segment length showed strong associations with stature in both sexes. In this adult Turkish sample, the contribution of lower limb segments to stature estimation varied according to sex and anatomical region. The proposed equations reflect radiograph-based, population-specific models, while the combined evaluation of multiple segments within an anatomically continuous framework carries potential forensic value, particularly for stature estimation from selected fragmented body parts.