IDEAS home Printed from https://ideas.repec.org/p/got/gotcrc/259.html
   My bibliography  Save this paper

Dietary diversity and children anthropometric outcomes: a quantile regression analysis

Author

Listed:
  • Anjali Purushotham
  • Nitya Mittal
  • B.C. Ashwini
  • K.B. Umesh
  • Stephan von Cramon-Taubadel
  • Sebastian Vollmer

Abstract

This study investigates the relationship between dietary diversity, a measure of diet quality, and health outcomes of young children. We examine this relationship not just at the mean, but also at different points of the conditional distributions of weight-for-age (WAZ) and height-for-age (HAZ) z-scores for children below six years of age, using quantile regression method. We construct five different dietary diversity measures using 14-day recall food consumption data collected in a primary survey conducted in in the rural-urban interface of Bangalore. Our results indicate no significant association between household dietary diversity and anthropometric outcomes of children below 6 years of age for any of the five measures.

Suggested Citation

  • Anjali Purushotham & Nitya Mittal & B.C. Ashwini & K.B. Umesh & Stephan von Cramon-Taubadel & Sebastian Vollmer, 2018. "Dietary diversity and children anthropometric outcomes: a quantile regression analysis," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 259, Courant Research Centre PEG.
  • Handle: RePEc:got:gotcrc:259
    as

    Download full text from publisher

    File URL: http://www2.vwl.wiso.uni-goettingen.de/courant-papers/CRC-PEG_DP_259.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:got:gotcrc:259. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dominik Noe (email available below). General contact details of provider: http://www.uni-goettingen.de/en/82144.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.