全北地区活体年龄估算的社会分析

Won Jung, Bong-Jik Suh
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引用次数: 0

摘要

目的:年龄估计通常用于识别活着的人。利用牙齿进行年龄估计的方法多种多样,对方法的研究也很多。但对社会方面年龄估计随时代变迁的研究仍显不足。因此,本研究的目的是分析社会方面的年龄估计案例,并调查全北地区年龄估计案例的变化。方法:收集2008年1月~ 2015年12月76例年龄估计病例。对收集到的数据进行整理和分析。检查患者的年龄和年份分布、声称年龄和登记年龄的差异、年龄估计的目的和区域分布。此外,我们还比较了之前的研究,分析了2000年至2007年全罗北道的年龄估计案例。结果:从年龄分布来看,50、60岁年龄段分布最大,占69.8%;更正年龄的理由最多的是福利相关(38.2%),而且更正年龄的人以50岁以上的人居多。在研究期间,每年都存在以福利为目的的年龄校正。与以往的研究相比,年龄估计病例总数急剧减少,年龄组分布也发生了变化。结论:与先前的研究相比,年龄估计病例发生了变化。年龄估计的件数明显减少,但50多岁的件数没有减少。虽然年龄估计请求的总数减少了,但老年人的年龄估计可能会持续下去。因此,有必要研究适合老年人的年龄估计新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Social Analysis on the Age Estimation of Living Body in Jeollabuk-Do
Received July 24, 2018 Revised September 21, 2018 Accepted October 17, 2018 Purpose: Age estimation is often used in the identification of living persons. Various methods are used for age estimation using teeth, and there are many studies on the methodology. But the study of changes in the social aspects of age estimation with the passage of times is still insufficient. Therefore, the purpose of this study is to analyze the age estimation cases in the social aspects and to investigate the changes of age estimation cases in Jeollabuk-do. Methods: From January 2008 to December 2015, 76 cases of age estimation were collected. The collected data were organized and analyzed. The distribution of patients by age and year, the difference between alleged and registered age, the purpose of age estimation, and regional distribution were examined. In addition, we compared the previous study which analyzed the age estimation cases in Jeollabuk-do from 2000 to 2007. Results: According to the distribution by age, the age distribution was the largest in the 50s and 60s, with 69.8%. The most reason to correct age was related to welfare benefits (38.2%), and most of the people who corrected for welfare benefits were over 50 years old. The age correction for purpose of welfare benefits existed every year during the study period. As the result of comparison with previous study, total number of age estimation cases was decreased very sharply, and distribution by age group was also changed. Conclusions: Changes in age estimation cases were observed when compared to the previous study. A significant decrease in the total number of age estimation cases was observed, but the number of age estimation in the 50s did not decrease. Although the total number of age estimation requests decreases, age estimation in the elderly are likely to persist. Thus, it is necessary to study new age estimation methods suitable for the elderly.
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