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验证WWHLA生长模型:一项利用八名苏黎世儿童的连续身高数据的初步研究。

Validating the WWHLA growth model: a preliminary study utilizing serial height data of eight Zurich children.

作者信息

Walker J T, Walker O A

机构信息

Office of Research and Development, National Center for Environmental Assessment-Washington Office, Environmental Protection Agency, Washington, DC 20460, USA.

出版信息

Growth Dev Aging. 2001 Spring;65(1):37-56.

Abstract

In this study, we set out to validate the WWHLA growth model. We randomly selected eight children (four boys and four girls) who participated in the First Zurich Longitudinal Growth Study and fitted the model to their serial height growth data, using a computerized nonlinear least-squares technique. The results showed that the model provided an excellent fit to their data. The underlying trends of the height displacement, velocity, and acceleration curves were almost perfectly described, for the entire growth period from birth to maturity. The descriptive statistics obtained from fitting the model supported these results. In addition, student's t tests showed that all 14 model parameters differed from zero and were significant in describing the relationship between height and age in each child. From the growth curves of these children, we were able to easily discern and identify the six macroscopic growth processes (neonatal, infantile, early-childhood, mid-childhood, late-childhood, and pubertal) that were predicted by the model. The processes had properties that were similar to what we found in the earlier study. These are preliminary results, but they provide additional support for the WWHLA growth model and its use in describing linear growth curves in humans.

摘要

在本研究中,我们着手验证WWHLA生长模型。我们随机选择了八名参与首次苏黎世纵向生长研究的儿童(四名男孩和四名女孩),并使用计算机化非线性最小二乘法技术将该模型拟合到他们的系列身高生长数据中。结果表明,该模型对他们的数据拟合效果极佳。从出生到成熟的整个生长期间,身高位移、速度和加速度曲线的潜在趋势几乎得到了完美描述。通过拟合模型得到的描述性统计数据支持了这些结果。此外,学生t检验表明,所有14个模型参数均与零不同,并且在描述每个儿童身高与年龄之间的关系方面具有显著性。从这些儿童的生长曲线中,我们能够轻松辨别并识别出该模型所预测的六个宏观生长过程(新生儿期、婴儿期、幼儿期、童年中期、童年后期和青春期)。这些过程具有与我们在早期研究中发现的相似的特性。这些是初步结果,但它们为WWHLA生长模型及其在描述人类线性生长曲线中的应用提供了额外支持。

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