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首页> 外文期刊>The American Journal of Tropical Medicine and Hygiene >Childhood malnutrition in Egypt using geoadditive Gaussian and latent variable models.
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Childhood malnutrition in Egypt using geoadditive Gaussian and latent variable models.

机译:埃及使用地理加性高斯模型和潜在变量模型研究了埃及的儿童营养不良状况。

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摘要

Major progress has been made over the last 30 years in reducing the prevalence of malnutrition amongst children less than 5 years of age in developing countries. However, approximately 27% of children under the age of 5 in these countries are still malnourished. This work focuses on the childhood malnutrition in one of the biggest developing countries, Egypt. This study examined the association between bio-demographic and socioeconomic determinants and the malnutrition problem in children less than 5 years of age using the 2003 Demographic and Health survey data for Egypt. In the first step, we use separate geoadditive Gaussian models with the continuous response variables stunting (height-for-age), underweight (weight-for-age), and wasting (weight-for-height) as indicators of nutritional status in our case study. In a second step, based on the results of the first step, we apply the geoadditive Gaussian latent variable model for continuous indicators in which the 3 measurements of the malnutrition status of children are assumed as indicators for the latent variable "nutritional status".
机译:在过去的30年中,在减少发展中国家5岁以下儿童中营养不良的发生率方面取得了重大进展。但是,这些国家中约有27%的5岁以下儿童营养不良。这项工作的重点是最大的发展中国家之一埃及的儿童营养不良。这项研究使用了2003年埃及的人口与健康调查数据,研究了生物人口统计学和社会经济因素与5岁以下儿童营养不良问题之间的关联。第一步,我们使用单独的地理加性高斯模型,将连续响应变量发育迟缓(年龄高),体重不足(年龄重)和消瘦(体重高)作为我们营养状况的指标案例分析。在第二步中,基于第一步的结果,我们对连续指标应用地理加性高斯潜在变量模型,在该模型中,对儿童营养不良状况的3次测量被假定为潜在变量“营养状况”的指标。

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