IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0206992.html
   My bibliography  Save this article

Modeling the effects of atmospheric pressure on suicide rates in the USA using geographically weighted regression

Author

Listed:
  • Aaron M Frutos
  • Chantel D Sloan
  • Ray M Merrill

Abstract

Low atmospheric pressure may increase depression and suicide through inducing hypoxia. Previous studies have not evaluated the geographic variation of this relationship across the United States. Analyses were based on three groupings of age-adjusted completed suicide rates (all suicide, firearm-related suicide, non-firearm-related suicide) from 2286 counties in the United States. Multiple regression was used to determine the overall relationship between atmospheric pressure and completed suicide rates. Geographically weighted regression (GWR) models were used to obtain local coefficient estimates. A negative correlation between atmospheric pressure and completed suicide rates was observed for all three suicide groupings (p-value

Suggested Citation

  • Aaron M Frutos & Chantel D Sloan & Ray M Merrill, 2018. "Modeling the effects of atmospheric pressure on suicide rates in the USA using geographically weighted regression," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-15, December.
    • Handle: RePEc:plo:pone00:0206992
    DOI: 10.1371/journal.pone.0206992
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0206992
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0206992&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0206992?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
    ---><---

    Citations

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


    Cited by:

    1. Agnė Brazienė & Jonė Venclovienė & Vidmantas Vaičiulis & Dalia Lukšienė & Abdonas Tamošiūnas & Irena Milvidaitė & Ričardas Radišauskas & Martin Bobak, 2022. "Relationship between Depressive Symptoms and Weather Conditions," IJERPH, MDPI, vol. 19(9), pages 1-12, April.

    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:plo:pone00:0206992. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.