Literature DB >> 2283140

The accuracy of simple ordinal scoring of tooth attrition in age assessment.

A Santini1, M Land, G M Raab.   

Abstract

Tooth wear is frequently used as a method of ageing skeletal remains. Fundamental to this method is the ability to measure the amount of tooth wear. The Brothwell chart based on the Miles method of ageing, uses simple ordinal scoring and is frequently used by archeologists. The purpose of the present investigation was to evaluate the accuracy of simple ordinal scoring in recording tooth wear and ageing skulls. A group of Chinese skulls of known age at death was used. The age range was from 16 to 60 years. A single score per molar tooth was used to record occlusal wear. The data were analysed by regression methods using BMDP statistical software. The results showed that molar tooth wear continues throughout the life of the individual. The first molar teeth wear significantly more quickly than do second molar teeth. Use of a simple ordinal score method for recording wear gives an inaccurate estimate of an individual skull's age at death with a very wide 95% confidence interval.

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Year:  1990        PMID: 2283140     DOI: 10.1016/0379-0738(90)90110-k

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  3 in total

1.  Estimation of Age by Evaluating the Occlusal Tooth Wear in Molars: A Study on Dakshina Kannada Population.

Authors:  Amitha J Lewis; Chandni Sreekumar; N Srikant; Karen Boaz; K P Nandita; Nidhi Manaktala; Shweta Yellapurkar
Journal:  Clin Cosmet Investig Dent       Date:  2021-10-15

2.  Evaluation of the effectiveness of the new tooth wear measurement parameters.

Authors:  Sang-Hak Lee; Shin-Eun Nam; Seung-Pyo Lee
Journal:  Anat Cell Biol       Date:  2015-12-21

3.  Relationship of tooth wear to chronological age among indigenous Amazon populations.

Authors:  Elma Pinto Vieira; Mayara Silva Barbosa; Cátia Cardoso Abdo Quintão; David Normando
Journal:  PLoS One       Date:  2015-01-20       Impact factor: 3.240

  3 in total

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