IDEAS home Printed from https://ideas.repec.org/a/oup/geronb/v76y2021i2p343-347..html
   My bibliography  Save this article

Mortality and Obesity Among U.S. Older Adults: The Role of Polygenic Risk

Author

Listed:
  • Justin M Vinneau
  • Brooke M Huibregtse
  • Thomas M Laidley
  • Joshua A Goode
  • Jason D Boardman
  • Deborah Carr

Abstract

ObjectivesTo examine the relationship between obesity and mortality as a function of polygenic risk for obesity among older U.S. adults.MethodUsing data from the 1994–2014 Health and Retirement Study in conjunction with genome-wide data, we evaluated the risk of mortality as a function of obesity classification, an individual’s polygenic risk score (PGS) for obesity, and their interaction, stratified by sex. We conducted our analyses using cox proportional hazard models.ResultsAmong those with an average PGS for obesity (8,143 [68.8%]), obese I (hazard ratio [HR] = 0.79, p = .336) adults show no difference in their risk for mortality and obese II/III (HR = 3.17, p = .000) adults present higher risk of mortality relative to non-obese adults. The interaction of obesity classification and PGS suggests that obese II/III respondents with low PGS in the total sample (HR = 2.71, p = .006) and among women (HR = 3.02, p = .023) are at significantly higher risk of death when compared to obese II/III respondents with average or high PGS.DiscussionWe posit that these findings suggest that the pathway to obesity, in this case, more socio-behavioral rather than genetic, may influence subsequent risk of death in older adults. We suggest that practitioners and population researchers be mindful of these pathways as to better identify and understand mortality risk.

Suggested Citation

  • Justin M Vinneau & Brooke M Huibregtse & Thomas M Laidley & Joshua A Goode & Jason D Boardman & Deborah Carr, 2021. "Mortality and Obesity Among U.S. Older Adults: The Role of Polygenic Risk," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(2), pages 343-347.
    • Handle: RePEc:oup:geronb:v:76:y:2021:i:2:p:343-347.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/geronb/gbz156
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Márton Dvorák & Miklós Tóth & Pongrác Ács, 2021. "The Role of Individualized Exercise Prescription in Obesity Management—Case Study," IJERPH, MDPI, vol. 18(22), pages 1-6, November.

    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:oup:geronb:v:76:y:2021:i:2:p:343-347.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/psychsocgerontology .

    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.