Reliability of mathematical regression models for age estimation in the mixed dentition stage for Egyptian children

Author:

Salma Rehab SamirORCID,AbdElfatah Omnia M.ORCID

Abstract

Abstract Background The purpose of this study was to evaluate the accuracy of established mathematical regression models for estimating the age of Egyptian children, develop new models that would better match this population and to evaluate the validity and reliability of these new models. Results One thousand one hundred fifteen children ranging in age between 6–14 years participated in the study. Group I consisted of 1000 children; 513 (51.3%) children were of the age group 6–< 9 years and 487 (48.7%) children were 9–14 years. Male children were 484 (48.4%) while female children were 516 (51.6%). Group II consisted of 115 children; 84 (73%) children were of the age group 6–< 9 years and 31 (27%) children were 9–14 years. Male children were 58 (50.4%) while Female children were 57 (49.6%). Foti regression models showed poor agreement of Intraclass Correlation Coefficient (ICC) with chronological age of children in the mixed dentition stage. The new regression models for estimating dental age showed ICC of more than 0.7 with chronological age suggesting better accuracy in age estimation than Foti models. Conclusions The newly formulated regression models are reliable for estimating the age of Egyptian children during the mixed dentition stage. A good agreement was found between the estimated age obtained from the first two models and the chronological age. However, the third model had the least agreement, suggesting that age estimation may be more accurate using only the first two models.

Publisher

Springer Science and Business Media LLC

Subject

Law,Health (social science),Pathology and Forensic Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3