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合成生长参考图表。

Synthetic growth reference charts.

作者信息

Hermanussen Michael, Stec Karol, Aßmann Christian, Meigen Christof, Van Buuren Stef

机构信息

Aschauhof, 24340, Altenhof, Germany.

Bioinformatics Group, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam-Golm, Germany.

出版信息

Am J Hum Biol. 2016 Jan-Feb;28(1):98-111. doi: 10.1002/ajhb.22759. Epub 2015 Jun 30.

Abstract

OBJECTIVES

To reanalyze the between-population variance in height, weight, and body mass index (BMI), and to provide a globally applicable technique for generating synthetic growth reference charts.

METHODS

Using a baseline set of 196 female and 197 male growth studies published since 1831, common factors of height, weight, and BMI are extracted via Principal Components separately for height, weight, and BMI. Combining information from single growth studies and the common factors using in principle a Bayesian rationale allows for provision of completed reference charts.

RESULTS

The suggested approach can be used for generating synthetic growth reference charts with LMS values for height, weight, and BMI, from birth to maturity, from any limited set of height and weight measurements of a given population.

CONCLUSION

Generating synthetic growth reference charts by incorporating information from a large set of reference growth studies seems suitable for populations with no autochthonous references at hand yet.

摘要

目的

重新分析身高、体重和体重指数(BMI)的人群间差异,并提供一种全球适用的生成合成生长参考图表的技术。

方法

利用自1831年以来发表的196项女性和197项男性生长研究的基线数据集,通过主成分分析法分别提取身高、体重和BMI的共同因素。原则上,使用贝叶斯原理将单个生长研究的信息与共同因素相结合,从而提供完整的参考图表。

结果

所建议的方法可用于从给定人群的任何有限的身高和体重测量数据中,生成从出生到成熟阶段的身高、体重和BMI的LMS值的合成生长参考图表。

结论

通过纳入大量参考生长研究的信息来生成合成生长参考图表,似乎适用于手头尚无本地参考数据的人群。

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