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

In: Advances in Contemporary Statistics and Econometrics

Author

Listed:
  • 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)

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.

Suggested Citation

  • Michel Simioni & Huong Thi Trinh & Tuyen Thi Thanh Huynh & Thao-Vy Vuong, 2021. "Diet Quality and Food Sources in Vietnam: First Evidence Using Compositional Data Analysis," Springer Books, in: Abdelaati Daouia & Anne Ruiz-Gazen (ed.), Advances in Contemporary Statistics and Econometrics, pages 547-570, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-73249-3_28
    DOI: 10.1007/978-3-030-73249-3_28
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