Department of Dentistry, Universitas Diponegoro, Tembalang, Semarang, Indonesia.
J Forensic Odontostomatol. 2022 Apr 30;40(1):12-19.
IBackground: Child marriage is recognised as a harmful practice. Recently, Indonesia enacted a new law to raise the minimum age of marriage from 16 to 19 years old for women, creating no minimum age difference between males and females. However, this improvement may be detrimental for individuals in remote areas with no legal documentation and the common practices of age falsification to reach the minimum age of marriage. Therefore, implementing an age estimation technique for juveniles is mandatory to reduce the risk of child marriage.
this study used the third molar maturity index (I3M) to distinguish an individual under or over 19 years old. I3M values from 222 digital OPGs aged between 15 to 23.99 years were calculated. The sample was randomly assigned as a training dataset (n = 156) and testing dataset (n = 66). The logistic regression model was created using a 5-fold cross-validation method, and the Youden's Index Value was used to establish the I3M cut-off value.
the logistic regression model showed significance in both sex and I3M value for predicting the probability of minimum age of marriage. I3M cut-off values of 0.08 and 0.09 for males and females, respectively, were taken. The accuracy of this test was 80% for both sexes in the testing dataset.
the outcome of this pilot study showed a promising result of using I3M as a dental age estimation method to determine whether an individual is over or under 19 years old to comply with the newly enacted legal age of marriage in Indonesia. Future research should be carried out using a balanced age cohort for each sex and a more extensive training sample size to investigate the influence of sex in the cut-off value calculation.
本研究旨在使用第三磨牙成熟度指数（I3M）来区分 19 岁以下和 19 岁以上的个体。方法：本研究使用 I3M 来区分 19 岁以下和 19 岁以上的个体。计算了来自年龄在 15 至 23.99 岁之间的 222 名数字 OPG 的 I3M 值。样本被随机分配为训练数据集（n = 156）和测试数据集（n = 66）。使用 5 倍交叉验证方法创建逻辑回归模型，并使用 Youden 的指数值来确定 I3M 的截断值。结果：逻辑回归模型在性别和 I3M 值方面均显示出对预测最低法定结婚年龄的概率具有显著性。分别为男性和女性确定了 I3M 截断值为 0.08 和 0.09。该测试在测试数据集中对两性的准确性均为 80%。结论：本研究结果表明，使用 I3M 作为一种牙齿年龄估计方法来确定个体是否超过或低于 19 岁，以符合印度尼西亚新颁布的法定结婚年龄，具有很大的潜力。未来的研究应使用每个性别的平衡年龄队列和更大的训练样本量来研究性别的影响在截断值计算中的作用。
