Construction of the World Health Organization child growth standards: selection of methods for attained growth curves

被引:307
作者
Borghi, E
de Onis, M
Garza, C
Van den Broeek, J
Frongillo, EA
Grummer-Strawn, L
Van Buuren, S
Pan, H
Molinari, L
Martorell, R
Onyango, AW
Martines, JC
机构
[1] WHO, Dept Nutr, CH-1211 Geneva 27, Switzerland
[2] UN, Food & Nutr Program, Ithaca, NY USA
[3] Africa Ctr Hlth & Populat Studies, Kwa Zulu, South Africa
[4] Cornell Univ, Div Nutr Sci, Ithaca, NY 14853 USA
[5] Ctr Dis Control & Prevent, Maternal & Child Nutr Branch, Atlanta, GA USA
[6] TNO Prevent & Hlth, Leiden, Netherlands
[7] Inst Child Hlth, London, England
[8] Kinderspital Zurich, Abt Wachstum & Entwicklung, CH-8032 Zurich, Switzerland
[9] Emory Univ, Dept Int Hlth, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA
[10] WHO, Dept Child & Adolescent Hlth & Behav, CH-1211 Geneva, Switzerland
关键词
growth curves; child growth; standards; skewness; kurtosis; smoothing;
D O I
10.1002/sim.2227
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The World Health Organization (WHO), in collaboration with a number of research institutions worldwide, is developing new child growth standards. As part of a broad consultative process for selecting the best statistical methods, WHO convened a group of statisticians and child growth experts to review available methods, develop a strategy for assessing their strengths and weaknesses, and discuss methodological issues likely to be faced in the process of constructing the new growth curves. To select the method(s) to be used, the group proposed a two-stage decision-making process. First, to select a few relevant methods based on a list of set criteria and, second, to compare the methods using available tests or other established procedures. The group reviewed 30 methods for attained growth curves. Using the pre-defined criteria, a few were selected combining five distributions and two smoothing techniques. Because the number of selected methods was considered too large to be fully tested, a preliminary study was recommended to evaluate goodness of fit of the five distributions. Methods based on distributions with poor performance will be eliminated and the remaining methods fully tested and compared. Copyright (c) 2005 John Wiley & Sons, Ltd.
引用
收藏
页码:247 / 265
页数:19
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