Diet Quality and Food Sources in Vietnam: First Evidence Using Compositional Data Analysis

Michel Simioni (), Huong Thi Trinh (), Tuyen Thi Thanh Huynh () and Thao-Vy Vuong ()
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Michel Simioni: MOISA, INRAE, University of Montpellier
Huong Thi Trinh: Thuongmai University, Department of Mathematics and Statistics
Tuyen Thi Thanh Huynh: International Center for Tropical Agriculture (CIAT)—Asia Office
Thao-Vy Vuong: College of Agriculture and Life Sciences, Cornell University

A chapter in Advances in Contemporary Statistics and Econometrics, 2021, pp 547-570 from Springer

Abstract: Abstract Food environments have been evolving rapidly in lower-middle-income countries. Nevertheless, little is known about the impact of these changes on diet quality. Thanks to the availability of detailed data on Vietnamese household consumption, this chapter presents a set of first results on the association between food sources and diet quality. These results highlight the contrasts between three Vietnamese districts located on an urban to rural gradient. We used recent advances in compositional data analysis to take into account the compositional nature of the share data describing the different food sources: principal balances as a tool for summarizing information carried by share data and techniques to deal with observed zero-valued shares.

Date: 2021
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DOI: 10.1007/978-3-030-73249-3_28

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