Cameriere Roberto, De Angelis Danilo, Ferrante Luigi, Scarpino Francesco, Cingolani Mariano
Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Int J Legal Med. 2007 Nov;121(6):449-53. doi: 10.1007/s00414-007-0179-1. Epub 2007 Jun 5.
The aim of the present paper was to improve and expand research with a larger number of children from various European countries and to provide a common formula useful for all these countries. Orthopantomographs taken from 2,652 European Caucasian children (1,382 boys, 1,270 girls) aged between 4 and 16 years were analyzed. The children came from Croatia, Germany, Kosovo, Italy, Slovenia, Spain, and the UK. Following the pilot study, subjects' age was modeled as a function of gender (g), morphological variables (predictors) x 5(second premolar), s (sum of normalized open apices) N 0, and the first-order interaction between s and N 0. The results showed that all these variables contributed significantly to the fit, so that all were included in the regression model, yielding the following linear regression formula: Age = 8.387 + 0.282 g - 1.692 x 5 + 0.835 N 0 - 0.116 s - 0.139 s x N 0, where g is a variable, 1 for males and 0 for females. The equation explained 86.1% (R2 = 0.861) of total deviance. The median of the residuals (=observed age minus predicted age) was -0.114 years, with (RefB.2) interquartile range = 1.22 years.
本文的目的是通过对来自欧洲不同国家的更多儿童进行研究来改进和扩展相关研究，并提供一个适用于所有这些国家的通用公式。对2652名年龄在4至16岁之间的欧洲白种儿童（1382名男孩，1270名女孩）的曲面断层片进行了分析。这些儿童来自克罗地亚、德国、科索沃、意大利、斯洛文尼亚、西班牙和英国。在初步研究之后，将受试者的年龄建模为性别（g）、形态变量（预测变量）x 5（第二前磨牙）、s（标准化开放根尖之和）N 0以及s和N 0之间的一阶相互作用的函数。结果表明，所有这些变量对拟合均有显著贡献，因此都被纳入回归模型，得出以下线性回归公式：年龄 = 8.387 + 0.282g - 1.692x 5 + 0.835N 0 - 0.116s - 0.139s x N 0，其中g是一个变量，男性为1，女性为0。该方程解释了总偏差的86.1%（R2 = 0.861）。残差的中位数（=观察年龄减去预测年龄）为-0.114岁，四分位间距 = 1.22岁（参考文献2）。
