中国东北青年女性身高估算的新方法

A new height estimating method for the young northeast females

摘要:

目的：通过对中国东北女性群体身高进行分组（矮、中、高），设计更准确的回归方程。方法：对206例年龄在18.1~35.1岁之间成年女性的身高、尺骨长度、胫骨长度进行测量。将测量对象随机分为组1（n=103）和组2(n=103)，建立一般回归方程和分组回归方程，进行身高的推算，对各身高组一般回归方程和分组回归方程估算身高进行两独立样本t检验。结果：以尺骨为自变量身高的分组回归方程能获得更准确的身高估计值，以胫骨、尺骨与胫骨为自变量的身高分组回归方程身高预测优势不明显。结论：研究结果表明，以尺骨为变量的分组回归方程对极端人群（过高或过矮）身高的估算更为准确。

Abstract:

Objective:To design a more accurate regression equation by grouping different heights (short,medium,tall).Methods: Totally 206 adult females aged between 18.1 and 35.1 years were enrolled. The body height, tibia length and ulna length were measured by standard anthropometric techniques. The subjects were randomly divided into group 1 (n=103) and group 2 (n=103). General regression equation and grouping regression equation were set up to estimate the height.The differences between the actual and estimated heights were evaluated using the two independent samples t-test.Results:The grouping regression equation using ulna length as the independent variable yielded more accurate results while that using tibia length,ulna length and tibia and ulna length as the independent variable respectively did not have obvious advantages. Conclusion: Results shows that the grouping regression equation using ulna length as the independent variable give more accurate height estimates for those who are too short or too tall.