Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population

This study aimed to derive predictive equations for stature estimation using shoe print dimensions of adult Nigerian medical students in the University of Lagos. A sample of 230 volunteers (100 males and 130 females) of Nigerian parentage, aged 18 – 36 years comprised this cross-sectional study. Sta...

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Main Authors: Emeka A Okubike, Michael E Nandi, Euphemia C Iheaza, Obun C. Obun
Format: Article
Language:Arabic
Published: Naif University Publishing House 2019-01-01
Series:Arab Journal of Forensic Sciences & Forensic Medicine
Subjects:
Online Access:https://journals.nauss.edu.sa/index.php/AJFSFM/article/view/719
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author Emeka A Okubike
Michael E Nandi
Euphemia C Iheaza,
Obun C. Obun
author_facet Emeka A Okubike
Michael E Nandi
Euphemia C Iheaza,
Obun C. Obun
author_sort Emeka A Okubike
collection DOAJ
description This study aimed to derive predictive equations for stature estimation using shoe print dimensions of adult Nigerian medical students in the University of Lagos. A sample of 230 volunteers (100 males and 130 females) of Nigerian parentage, aged 18 – 36 years comprised this cross-sectional study. Stature and 460 bi-lateral shoe prints were obtained from the participants using a stadiometer and ink pads. Data analysis was performed using SPSS version 20. Sexual dimorphism in stature and shoe print dimensions were found to be highly significant (p < 0.05), with the males having greater values than the females. Paired t test revealed statistically significant bi-lateral differences in shoe print dimensions for the females and the pooled sample (p < 0.05). The right shoe print length (RSPL) exhibited the highest correlation with stature in the males, females and the pooled sample, with values of 0.483, 0.607 and 0.772, respectively. The shoe print breadths in the males, females and the pooled sample were significantly correlated with stature, except the left shoe print breadth (LSPB) in the females (r = 0.148). This study has demonstrated that shoe print dimensions are significantly correlated with stature, with the shoe print length showing more reliability in stature prediction than the shoe print breadth.
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spelling doaj.art-268ea317bc7b452c91d08ad95ea47df02024-03-12T12:28:08ZaraNaif University Publishing HouseArab Journal of Forensic Sciences & Forensic Medicine1658-67861658-67942019-01-0118989100310.26735/16586794.2018.024276Stature Prediction using Shoe Print Dimensions of an Adult Nigerian PopulationEmeka A Okubike0Michael E Nandi1Euphemia C Iheaza,2Obun C. Obun3Department of Anatomy, College of Medicine, University of Lagos, Lagos, NigeriaDepartment of Anatomy, College of Medicine, University of Lagos, Lagos, Nigeria,Department of Anatomy, Faculty of Basic Medical Sciences, Cross River University of Technology, CRUTECH, Okuku Campus, Cross River state, Nigeria.Department of Anatomy, College of Medicine, University of Lagos, Lagos, NigeriaDepartment of Anatomy, Faculty of Basic Medical Sciences, Cross River University of Technology, CRUTECH, Okuku Campus, Cross River state, Nigeria.This study aimed to derive predictive equations for stature estimation using shoe print dimensions of adult Nigerian medical students in the University of Lagos. A sample of 230 volunteers (100 males and 130 females) of Nigerian parentage, aged 18 – 36 years comprised this cross-sectional study. Stature and 460 bi-lateral shoe prints were obtained from the participants using a stadiometer and ink pads. Data analysis was performed using SPSS version 20. Sexual dimorphism in stature and shoe print dimensions were found to be highly significant (p < 0.05), with the males having greater values than the females. Paired t test revealed statistically significant bi-lateral differences in shoe print dimensions for the females and the pooled sample (p < 0.05). The right shoe print length (RSPL) exhibited the highest correlation with stature in the males, females and the pooled sample, with values of 0.483, 0.607 and 0.772, respectively. The shoe print breadths in the males, females and the pooled sample were significantly correlated with stature, except the left shoe print breadth (LSPB) in the females (r = 0.148). This study has demonstrated that shoe print dimensions are significantly correlated with stature, with the shoe print length showing more reliability in stature prediction than the shoe print breadth.https://journals.nauss.edu.sa/index.php/AJFSFM/article/view/719forensic sciencesforensic anthropologystatureshoe printscorrelation
spellingShingle Emeka A Okubike
Michael E Nandi
Euphemia C Iheaza,
Obun C. Obun
Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population
Arab Journal of Forensic Sciences & Forensic Medicine
forensic sciences
forensic anthropology
stature
shoe prints
correlation
title Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population
title_full Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population
title_fullStr Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population
title_full_unstemmed Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population
title_short Stature Prediction using Shoe Print Dimensions of an Adult Nigerian Population
title_sort stature prediction using shoe print dimensions of an adult nigerian population
topic forensic sciences
forensic anthropology
stature
shoe prints
correlation
url https://journals.nauss.edu.sa/index.php/AJFSFM/article/view/719
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AT obuncobun staturepredictionusingshoeprintdimensionsofanadultnigerianpopulation