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Objectives: Estimation of stature from measurements of different human parts is a significant aspect of forensic medicine and forensic osteology to identify unknown individuals. Stature is dependent on several variables including genetics, race, age, geographical location, and climate conditions, so it is necessary to define a robust relationship for different people to aid in the identification of individuals. The current study was carried out to test a correlation between stature and foot parameters in a population from Najafabad, Iran.Methods: A total of 206 volunteer adults comprising 106 males and 100 females between the ages of 19 and 38 years were recruited for the study, and measurements of stature, foot length, foot width, medial arch height, lateral malleolus height, medial malleolus height, and navicular height were recorded. Linear regression models were used to estimate stature.Results: The results indicated a positive correlation between stature and foot measurements. Among all parameters, the left foot length (LFL) and right foot width showed the most (r = 0.819) and the least (r = 0.551) relationship with stature, respectively. A strong correlation between stature and foot dimensions was identified that could add a further dimension to the identification of individuals from skeletal parts.Conclusion: The LFL gives the best prediction of stature compared to other foot measurements. |
