Relations between socio-economic factors and nutritional diet in Vietnam from 2004 to 2014: New insights using compositional data analysis
| Autor: | Huong Thi Trinh, Joanna Morais, Michel Simioni, Christine Thomas-Agnan |
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| Přispěvatelé: | Toulouse School of Economics (TSE), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Thuongmai University, Partenaires INRAE, Etudes de marché et sondages, Marchés, Organisations, Institutions et Stratégies d'Acteurs (UMR MOISA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro) |
| Rok vydání: | 2018 |
| Předmět: |
Data Analysis
Statistics and Probability Epidemiology analyse mathématique Nutritional Status Context (language use) Diet Surveys modèle de régression 01 natural sciences qualité nutritionnelle 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine diet pattern Health Information Management [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] Urbanization méthode statistique Economics Nutrition transition Humans compositional regression models Statistiques (Mathématiques) 030212 general & internal medicine 0101 mathematics équilibre alimentaire Socioeconomic status Probability modélisation 2. Zero hunger Consumption (economics) Public economics Probabilités choix alimentaire vietnam macronutrient shares macronutriment Calorie intake [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] régime alimentaire Socioeconomic Factors expenditure elasticity Energy Intake Compositional data |
| Zdroj: | Statistical Methods in Medical Research Statistical Methods in Medical Research, SAGE Publications, 2019, 28 (8), pp.2305-2325. ⟨10.1177/0962280218770223⟩ Statistical Methods in Medical Research 8 (28), 2305-2325. (2019) |
| ISSN: | 1477-0334 0962-2802 |
| DOI: | 10.1177/0962280218770223 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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