Predictive role of hand and foot dimensions for stature estimation in the Malaysian population

The impact of age on sex bias in models for height and sex estimation based on hand and foot dimensions the impact of age on sex bias

There are sex differences in age-related bone modifications after puberty. Androgens stimulate radial bone expansion in males, while estrogen stimulates endosteal apposition but limits periosteal expansion in females. The potential effect of age on observed sex biases in height and sex estimation models is most significantly relevant for forensic or bioarchaeological research that relies, at least in part, on hand and foot bone measurements of living or skeletal remains for purposes of identification or demographic reconstruction. This study sought to determine whether age affects sex biases in models for height and sex estimation which are based on hand and foot dimensions. The study was cross-sectional between January and June 2021 at the University for Development Studies. The study included 379 participants (male = 161 and female = 218) between 20 and 29 years. The hand length (HL), hand width (HW), foot length (FL) and foot width (FW) were measured twice from the left side using computer-assisted analysis. Univariable and multivariable discriminant and linear regression models were formulated for sex and height estimation respectively. Females were better classified than males with sex biases (male-female) ranging from -1.3% to -22.6% for all models. Models for height estimation were more precise in males (bias: 0.0-0.3 cm) than in females (bias: 0.3-1.4 cm). However, age did not have an impact on the observed sex biases. Height and sex estimation from foot and height dimensions may not need adjustment for age. This may, however, be limited to a given population and age group.

Stature estimation from various three-dimensional anthropometric foot measurements of Taiwanese female population

Predicting a victim's stature from a dismembered body or human remains is a challenge in forensic practice. Lower extremity dimensions, such as the foot, are essential measurements for stature estimation. However, there is no available information on stature prediction generated from Taiwanese female foot measurements in the forensic science field. Hence, this study aims to investigate the correlations between various foot dimensions and stature and develop population-specific stature-prediction equations for Taiwanese females. Bilateral data of 12 foot dimensions were collected from 1058 females aged from 18 to 59 years using three-dimensional scanning. A pairedt-test is performed to evaluate bilateral differences, and linear and stepwise regression analyses are performed to generate stature predictions. The results indicate significant bilateral differences in the majority of the foot measurements. All measurements are positively correlated with stature (p < .05). Higher correlation coefficients with stature are observed in length-related foot dimensions, followed by girth- and breadth-related dimensions. The foot length on both sides is selected as an accurate and reliable parameter to conduct linear stature-predicting regression for Taiwanese females because it exhibits the highest explanation rate (right: 54.1%; left: 50.8%) and lowest estimating standard error (right: 3.883 cm, left: 4.020 cm) among the 12 foot measurements. Based on the results of the stepwise regression analysis, several stature-prediction equations consisting of various foot measurements are established. The findings of this study can provide helpful information for predicting the stature of Taiwanese females from fragmentary foot remains.