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Stature estimation from handprint measurements: an application to the medicolegal investigation
BACKGROUND: The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Ban...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788280/ https://www.ncbi.nlm.nih.gov/pubmed/33432273 http://dx.doi.org/10.1186/s41935-020-00215-1 |
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author | Asadujjaman, Md. Hossain, Md. Golzer Rana, Md. Sohel Islam, Md. Zahidul |
author_facet | Asadujjaman, Md. Hossain, Md. Golzer Rana, Md. Sohel Islam, Md. Zahidul |
author_sort | Asadujjaman, Md. |
collection | PubMed |
description | BACKGROUND: The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent t test. The Pearson’s correlation coefficient (R) between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements. RESULTS: The bilateral asymmetry was statistically not significant (p > 0.05) in right and left handprints. Sex difference significantly (p < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation (R) value presents between stature and the handprint measurements. The right 2(nd) digit length in men (R = + 0.709, R(2) = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R(2) = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of R (+ 0.777) and R(2) (0.603), and a lower value of SEE (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population. CONCLUSIONS: It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population. |
format | Online Article Text |
id | pubmed-7788280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77882802021-01-07 Stature estimation from handprint measurements: an application to the medicolegal investigation Asadujjaman, Md. Hossain, Md. Golzer Rana, Md. Sohel Islam, Md. Zahidul Egypt J Forensic Sci Original Article BACKGROUND: The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent t test. The Pearson’s correlation coefficient (R) between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements. RESULTS: The bilateral asymmetry was statistically not significant (p > 0.05) in right and left handprints. Sex difference significantly (p < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation (R) value presents between stature and the handprint measurements. The right 2(nd) digit length in men (R = + 0.709, R(2) = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R(2) = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of R (+ 0.777) and R(2) (0.603), and a lower value of SEE (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population. CONCLUSIONS: It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population. Springer Berlin Heidelberg 2021-01-07 2021 /pmc/articles/PMC7788280/ /pubmed/33432273 http://dx.doi.org/10.1186/s41935-020-00215-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Asadujjaman, Md. Hossain, Md. Golzer Rana, Md. Sohel Islam, Md. Zahidul Stature estimation from handprint measurements: an application to the medicolegal investigation |
title | Stature estimation from handprint measurements: an application to the medicolegal investigation |
title_full | Stature estimation from handprint measurements: an application to the medicolegal investigation |
title_fullStr | Stature estimation from handprint measurements: an application to the medicolegal investigation |
title_full_unstemmed | Stature estimation from handprint measurements: an application to the medicolegal investigation |
title_short | Stature estimation from handprint measurements: an application to the medicolegal investigation |
title_sort | stature estimation from handprint measurements: an application to the medicolegal investigation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788280/ https://www.ncbi.nlm.nih.gov/pubmed/33432273 http://dx.doi.org/10.1186/s41935-020-00215-1 |
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