Journal of Oral Medicine and Pain

Korean Academy of Orofacial Pain and Oral Medicine (대한안면통증구강내과학회)
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The Social Analysis on the Age Estimation of Living Body in Jeollabuk-Do

  • Jung, Won (Department of Oral Medicine, School of Dentistry, Chonbuk National University) ;
  • Suh, Bong-Jik (Department of Oral Medicine, School of Dentistry, Chonbuk National University)
  • Received : 2018.07.24
  • Accepted : 2018.10.17
  • Published : 2018.12.30
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Abstract

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.

Keywords

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Fig. 1. The number of age estimation cases in each year (2000-2007). The graph shows that the number of age estimation cases gradually decreased.

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Fig. 2. The comparison chart of distribution by age group between two studies. The graph shows the percentage of age estimation cases by age group was changed. The ratio of over 50s is 69.8%, which is more higher than that of Eom and Suh3).

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Fig. 3. The comparison chart of distribution by purpose of age estimation between two studies. The graph shows percentage of age estimation purpose look different two studies. Especially purpose A and C was very increased. A, welfare; B, to found right age; C, occupation; D, friend-related; E, sibling-related; F, employment; G, enter a school; H, etc.

Table 1. The number of age estimation cases in each year (2008-2015)

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Table 2. Gender and registered age distribution

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Table 3. The number of age estimation cases by year and by age group

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Table 4. The difference between alleged age and registered age by age group (n=76)

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Table 5. The relation between alleged age and registered age by sex

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Table 6. The purpose of age estimation

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Table 7. The purpose of age estimation by age group

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Table 8. The purpose of age estimation by year

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Table 9. The distribution of present address and legal domicile

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