Predictive Models for Sex and Stature Estimation using Foot Anthropometric Dimensions among Indigenes of Cross River State
The Estimation Of Sex And Stature Is Important In Establishing A Biological Profile For Personal Identification For Medico-Legal Purposes, Mostly When Body Parts Are Found Dismembered Or Mutilated. This Study Aimed To Measure Anthropometric Foot Parameters Of Adult Male And Female Cross River State Indigenes, To Investigate The Possibility Of Using Anthropometric Foot Dimensions To Estimate Sex And Stature. The Study Comprised 249 Subjects (129 Males And 120 Females) Who Have Both Paternal And Maternal Origin In Cross River State Were Included In This Study. To Ascertain Their Origin, They Were Asked Verbally. The Participants Included Were Aged, 18–65 Years Who Volunteered And Satisfied The Inclusion Criteria. Following Institutional Approval, Anthropometric Measurements Of Stature, Foot Length (FL), Foot Width (FW), Bi-Malleolar Width (BMW) Were Taken. The Data Was Analyzed For Descriptive And Inferential Statistics Using The SPSS Statistical Package Version 20.0. The Results Of The Present Study Recorded Mean Stature Values Were; 176.49 ± 7.4 Cm For Males, 166.36 ± 7.1 Cm For Females, And 171.42 ± 8.9 Cm For The Pooled Sample. Independent T-Test Exhibited Statistically Significant Gender Differences (P<0.05) For All The Parameters, With The Males Having Consistently Higher Values Than The Females. Paired T Test Revealed The Existence Bilateral Asymmetry On Bi-Malleolar Width Foot Width And Foot Length (P < 0.05). Significant Positive Correlation Coefficients Of Stature With The Foot Length And Width Dimensions Were Found To Range From 0.307to 0.485 In The Study. Logistic Regression Models Were Created For Predicting Gender, Single And Multiple Linear Regression Models Were Also Created For Stature Estimation. This Study Provides Standards For Stature Estimation Using The Lower Limb Measurements Among Cross River State Indigenes.
Key Words: Sex, Stature, Foot Anthropometric Measurements, Predictive Models, Cross River State Indigenes