IDEAS home Printed from https://ideas.repec.org/a/taf/recsxx/v27y2024i1p2399457.html
   My bibliography  Save this article

Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan

Author

Listed:
  • Alisher Suyunov
  • Kamiljon Akramov

Abstract

The prevalence of overweight and obesity has been increasing in Central Asia. Among numerous potential dietary determinants of overweight and obesity, sugar-sweetened beverages (SSBs) have received a great deal of attention because they are a significant source of calories and added sugars in both children and adults. In this study, we examine the relationship between SSB consumption and overweight and obesity in Kyrgyzstan using household-level data from the Kyrgyzstan Integrated Household Survey 2011 using propensity score matching in tandem with machine-learning models. The findings of our study indicate SSBs consumption is associated with 1.6 percentage point higher risk of obesity among both men and women in the context of Kyrgyzstan. Besides, we have observed the positive association between age, income, calorie intake, and share of calorie intake from staples and the likelihood of being obese.

Suggested Citation

  • Alisher Suyunov & Kamiljon Akramov, 2024. "Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan," Journal of Applied Economics, Taylor & Francis Journals, vol. 27(1), pages 2399457-239, December.
    • Handle: RePEc:taf:recsxx:v:27:y:2024:i:1:p:2399457
    DOI: 10.1080/15140326.2024.2399457
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15140326.2024.2399457
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15140326.2024.2399457?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:recsxx:v:27:y:2024:i:1:p:2399457. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/recs .

    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.