Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation

Detalhes bibliográficos
Autor(a) principal: Monika Singh
Data de Publicação: 2019
Outros Autores: Jagmahender Singh Sehrawat
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Forensic Sciences, Medical Law and Bioethics
Texto Completo: https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764
Resumo: Age and stature estimation have apparent implications in personal identification in the events of murder, accidents or natural disaster mainly concern with forensic identification analysis. Self-reported anthropometric data is convenient and inexpensive, but relying on this data requires an accurate estimation of age and height. The biasness, precision, and accuracy of adult’s self-reported age and height across subpopulations were examined using a representative sample of adults. Aim of the present study is to report bias in an individual’s reported and documented age and height estimates. The study sample were included more than 200 young adult students (100 male and 100 female subjects approximately) from Panjab university, Chandigarh, age from 18 to 25. Linear and multiple regression analysis were done to formulate equations which would be helpful for estimation of stature and age from self-reported data for both male and females. The best correlation estimation in multiple and linear regression equations for age estimation in male was shown self-reported data whereas in females reported to be data from parents rather than self-reported data , females tends to decrease their age number as shown in results while in stature best variable is self-reported. The weakest correlation was reported to be data from close friends in both males and females.
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spelling Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological InvestigationSelf-reportedStatureAgeDiscrepancyAnthropometricAge and stature estimation have apparent implications in personal identification in the events of murder, accidents or natural disaster mainly concern with forensic identification analysis. Self-reported anthropometric data is convenient and inexpensive, but relying on this data requires an accurate estimation of age and height. The biasness, precision, and accuracy of adult’s self-reported age and height across subpopulations were examined using a representative sample of adults. Aim of the present study is to report bias in an individual’s reported and documented age and height estimates. The study sample were included more than 200 young adult students (100 male and 100 female subjects approximately) from Panjab university, Chandigarh, age from 18 to 25. Linear and multiple regression analysis were done to formulate equations which would be helpful for estimation of stature and age from self-reported data for both male and females. The best correlation estimation in multiple and linear regression equations for age estimation in male was shown self-reported data whereas in females reported to be data from parents rather than self-reported data , females tends to decrease their age number as shown in results while in stature best variable is self-reported. The weakest correlation was reported to be data from close friends in both males and females.IPEBJ2019-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo Originalinfo:eu-repo/semantics/articleapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttps://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/76410.17063/bjfs8(4)y2019258Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; v. 8 n. 4 (2019): Volume 8 - Número 4; 258-271Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; Vol. 8 No. 4 (2019): Volume 8 - Número 4; 258-2712237-261Xreponame:Brazilian Journal of Forensic Sciences, Medical Law and Bioethicsinstname:Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)instacron:IPEBJenghttps://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764/874https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764/875Monika SinghJagmahender Singh Sehrawatinfo:eu-repo/semantics/openAccess2021-04-22T12:23:08Zoai:bjfs:article/764Revistahttps://www.ipebj.com.br/bjfs/index.php/bjfs/homePRIhttps://www.ipebj.com.br/bjfs/index.php/bjfs/oai2237-261X2237-261Xopendoar:2021-04-22 12:23:09.484Brazilian Journal of Forensic Sciences, Medical Law and Bioethics - Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)false
dc.title.none.fl_str_mv Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
title Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
spellingShingle Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
Monika Singh
Self-reported
Stature
Age
Discrepancy
Anthropometric
title_short Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
title_full Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
title_fullStr Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
title_full_unstemmed Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
title_sort Discrepancy between Self-reported and Recorded Age and Height among Students: a Forensic Anthropological Investigation
author Monika Singh
author_facet Monika Singh
Jagmahender Singh Sehrawat
author_role author
author2 Jagmahender Singh Sehrawat
author2_role author
dc.contributor.author.fl_str_mv Monika Singh
Jagmahender Singh Sehrawat
dc.subject.por.fl_str_mv Self-reported
Stature
Age
Discrepancy
Anthropometric
topic Self-reported
Stature
Age
Discrepancy
Anthropometric
dc.description.none.fl_txt_mv Age and stature estimation have apparent implications in personal identification in the events of murder, accidents or natural disaster mainly concern with forensic identification analysis. Self-reported anthropometric data is convenient and inexpensive, but relying on this data requires an accurate estimation of age and height. The biasness, precision, and accuracy of adult’s self-reported age and height across subpopulations were examined using a representative sample of adults. Aim of the present study is to report bias in an individual’s reported and documented age and height estimates. The study sample were included more than 200 young adult students (100 male and 100 female subjects approximately) from Panjab university, Chandigarh, age from 18 to 25. Linear and multiple regression analysis were done to formulate equations which would be helpful for estimation of stature and age from self-reported data for both male and females. The best correlation estimation in multiple and linear regression equations for age estimation in male was shown self-reported data whereas in females reported to be data from parents rather than self-reported data , females tends to decrease their age number as shown in results while in stature best variable is self-reported. The weakest correlation was reported to be data from close friends in both males and females.
description Age and stature estimation have apparent implications in personal identification in the events of murder, accidents or natural disaster mainly concern with forensic identification analysis. Self-reported anthropometric data is convenient and inexpensive, but relying on this data requires an accurate estimation of age and height. The biasness, precision, and accuracy of adult’s self-reported age and height across subpopulations were examined using a representative sample of adults. Aim of the present study is to report bias in an individual’s reported and documented age and height estimates. The study sample were included more than 200 young adult students (100 male and 100 female subjects approximately) from Panjab university, Chandigarh, age from 18 to 25. Linear and multiple regression analysis were done to formulate equations which would be helpful for estimation of stature and age from self-reported data for both male and females. The best correlation estimation in multiple and linear regression equations for age estimation in male was shown self-reported data whereas in females reported to be data from parents rather than self-reported data , females tends to decrease their age number as shown in results while in stature best variable is self-reported. The weakest correlation was reported to be data from close friends in both males and females.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo Original
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764
10.17063/bjfs8(4)y2019258
url https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764
identifier_str_mv 10.17063/bjfs8(4)y2019258
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764/874
https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/764/875
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
dc.publisher.none.fl_str_mv IPEBJ
publisher.none.fl_str_mv IPEBJ
dc.source.none.fl_str_mv Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; v. 8 n. 4 (2019): Volume 8 - Número 4; 258-271
Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; Vol. 8 No. 4 (2019): Volume 8 - Número 4; 258-271
2237-261X
reponame:Brazilian Journal of Forensic Sciences, Medical Law and Bioethics
instname:Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)
instacron:IPEBJ
reponame_str Brazilian Journal of Forensic Sciences, Medical Law and Bioethics
collection Brazilian Journal of Forensic Sciences, Medical Law and Bioethics
instname_str Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)
instacron_str IPEBJ
institution IPEBJ
repository.name.fl_str_mv Brazilian Journal of Forensic Sciences, Medical Law and Bioethics - Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)
repository.mail.fl_str_mv
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