IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i4d10.1007_s11135-025-02126-6.html
   My bibliography  Save this article

Analyzing anxiety and treatment trends using google trends: validation of epidemiologic studies and forecasting

Author

Listed:
  • Reza Jafarzadeh Esfehani

    (Razavi Khorasan Branch)

  • Amir Rezaei Ardani

    (University of Western Ontario)

  • Afsaneh Rezaei Kalat

    (Mashhad University of Medical Sciences)

Abstract

Anxiety disorders are among the most prevalent mental health conditions globally, and studying their trends helps societies provide better care and prevention plans. The present study aimed to explore the global trend of anxiety disorders and antianxiety medication-related terms using Google Trend analysis and forecast future trends. A Google Trend analysis was performed on specific search terms related to anxiety disorders from June 2005 to August 2023. Curve estimation regression analysis was conducted for the five main categories, and the Expert Modeler in SPSS software was used to model the data. Auto-Regressive Integrated Moving Average was applied for forecasting. Our model for anxiety-related search terms over the internet accurately predicted trends reported by the World Health Organization. The seasonally adjusted model for anxiety-related terms, BNZs, SSRIs, gabapentin, trazodone, and the sum of all drugs estimated changes of 16.8%, − 44.9%, 18.2%, 67.3%, 36.6%, and 16.8% respectively, from August 2023 to January 2030. Searches for anxiety-related terms and medications have shown an increasing trend since 2005. The forecasting model indicates a 16% rise in general anxiety searches from 2023 to 2030, with medication-related terms predicted to increase more rapidly.

Suggested Citation

  • Reza Jafarzadeh Esfehani & Amir Rezaei Ardani & Afsaneh Rezaei Kalat, 2025. "Analyzing anxiety and treatment trends using google trends: validation of epidemiologic studies and forecasting," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(4), pages 3649-3660, August.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:4:d:10.1007_s11135-025-02126-6
    DOI: 10.1007/s11135-025-02126-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-025-02126-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-025-02126-6?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:qualqt:v:59:y:2025:i:4:d:10.1007_s11135-025-02126-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.