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2004 年至 2014 年间越南社会经济因素与营养饮食之间的关系:使用成分数据分析的新见解。

Relations between socio-economic factors and nutritional diet in Vietnam from 2004 to 2014: New insights using compositional data analysis.

机构信息

1 Toulouse School of Economics, INRA, University of Toulouse Capitole, Toulouse, France.

2 Department of Mathematics and Statistics, Thuongmai University, Hanoi, Vietnam.

出版信息

Stat Methods Med Res. 2019 Aug;28(8):2305-2325. doi: 10.1177/0962280218770223. Epub 2018 Apr 23.

Abstract

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.

摘要

本文分析了 2004 年至 2014 年期间,社会经济因素(如食品支出水平和城市化水平)对越南饮食模式的影响。与现有文献不同,我们关注的是宏量营养素(蛋白质、脂肪和碳水化合物)消费的饮食平衡,并考虑到宏量营养素的量不是独立的这一事实。换句话说,我们关注的是每种宏量营养素在总热量摄入中的份额。我们使用成分数据分析(CODA)来描述饮食模式随时间的演变,并对家庭特征对宏量营养素份额向量的影响进行建模。我们计算了宏量营养素份额的食品支出弹性,并将其与经典的宏量营养素体积和总热量摄入弹性进行了比较。成分模型突出了许多因素在决定饮食选择方面的重要作用,我们将主要关注食品支出的作用。我们的结果与其他文献一致,但我们的优势在于能够突出营养转型背景下宏量营养素之间的替代效应。

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