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Standard Growth Chart of Weight for Height to Determine Wasting Nutritional Status in East Java Based on Semiparametric Least Square Spline Estimator

机译:基于Semiparametric最小二乘样条估算器的高度重量的标准生长图表重量以确定东爪哇省的营养状况

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Wasting is a condition of a children characterized by a lack of weight by measuring weight for height. Currently, to monitor the growth conditions for childrens in Indonesia, we use the Towards Healthy Card called as Kartu Menuju Sehat (KMS) which is guided by WHO 2005. The samples used to design WHO-2005 standard charts are children from Brazil, Ghana, India, USA, Norway, and Oman that have different physical conditions from children in Indonesia. Therefore, the using of standards growth charts from other countries cause incompatibility with Indonesian's children growth. To illustrate the growth patterns of children in East Java, we use the semiparametric least square spline estimator that gives more flexible pattern. In this study we used weight (kg) as a response variable, height (cm) as a predictor variable for nonparametric component, and gender as a predictor variable for parametric component. The results show the semiparametric least square spline estimator can explain the growth patterns of children well because it has determination coefficient (R2) of 99.78% and mean square error (MSE) of 0.0353. The standard chart of weight for height of boy is higher than that of girl and percentage of wasting nutritional status of girl greater than that of boy.
机译:浪费是通过测量高度的体重而具有缺乏体重的儿童的状况。目前,为了监测印度尼西亚儿童的生长条件,我们使用朝向Kartu Menuju SEHAT(KMS)的健康卡,由WHO 2005引导。用于设计WHO-2005标准图表的样本是来自巴西,加纳的儿童,印度,美国,挪威和阿曼,来自印度尼西亚的儿童的不同身体状况。因此,来自其他国家的标准增长图表与印度尼西亚的儿童增长不相容。为了说明East Java中儿童的增长模式,我们使用的半粉末最小二乘样条估计器提供更灵活的模式。在本研究中,我们使用权重(kg)作为响应变量,高度(cm)作为非参数组件的预测变量,以及作为参数分量的预测变量的性别。结果表明,半甲酰胺最小二乘样花斑估计器可以解释儿童的生长模式,因为它具有99.78%的判定系数(R2),平均方误差(MSE)为0.0353。男孩身高的重量标准图表高于女孩的重量和浪费的女孩的百分比大于男孩的营养状况。

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