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首页> 外文期刊>Statistical methods in medical research >Relations between socio-economic factors and nutritional diet in Vietnam from 2004 to 2014: New insights using compositional data analysis
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Relations between socio-economic factors and nutritional diet in Vietnam from 2004 to 2014: New insights using compositional data analysis

机译:2004年至2014年越南社会经济因素与营养饮食的关系:使用组建数据分析的新见解

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摘要

This paper contributes to the analysis of the impact of socioeconomic factors, like food expenditure level and urbanization, on diet patterns in Vietnam, from 2004 to 2014. Contrary to the existing literature, we focus on the diet balance in terms of macronutrients consumption (protein, fat and carbohydrate) and we take into account the fact that the volumes of macronutrients are not independent. In other words, we are interested in the shares of each macronutrient in the total calorie intake. We use compositional data analysis (CODA), adapted to deal with the relative information contained in shares, to describe the evolution of diet patterns over time, and to model the impact of household characteristics on the macronutrient shares vector. We compute food expenditure elasticities of macronutrient shares, and we compare them to classical elasticities for macronutrient volumes and total calorie intake. The compositional model highlights the important role of many factors in the determination of diet choices and we will focus mainly on the role of food expenditure. Our results are consistent with the rest of the literature, but they have the advantage to highlight the substitution effects between macronutrients in the context of nutrition transition.
机译:本文有助于分析社会经济因素的影响,如食品支出水平和城市化,越南饮食模式,从2004年到2014年。与现有文学相反,我们专注于常态营养素消耗方面的饮食平衡(蛋白质) ,脂肪和碳水化合物),我们考虑到MACRORRIERS的卷不是独立的事实。换句话说,我们对Calorie Intake的每个Macronurient的股份感兴趣。我们使用组成数据分析(CODA),适用于处理股份中包含的相对信息,以描述饮食模式随着时间的推移,并模拟家庭特征对Macronutrient股票矢量的影响。我们计算Macronurient股票的食物支出弹性,我们将它们与古典弹性进行比较,以便Macronurient卷和总卡路里摄入量。组成模型突出了许多因素在确定饮食选择中的重要作用,我们将主要关注食品支出的作用。我们的结果与文献的其余部分符合,但它们具有突出在营养转换的背景下突出MACRONRIERS之间的替代效应的优点。

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