IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i22p11894-d677977.html
   My bibliography  Save this article

Predictors of Major Depressive Disorder in Older People

Author

Listed:
  • Susana Sousa

    (Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
    Center for Health Technology and Services Research (CINTESIS), 4200-450 Porto, Portugal)

  • Constança Paúl

    (Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
    Center for Health Technology and Services Research (CINTESIS), 4200-450 Porto, Portugal)

  • Laetitia Teixeira

    (Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
    Center for Health Technology and Services Research (CINTESIS), 4200-450 Porto, Portugal)

Abstract

Major depressive disorder (MDD) is one of the most common mental disorders in older people. There are several biological, psychological, and social factors associated with this disorder. This study aimed to describe the depressive state to identify the associated factors and potential predictors of MDD in a population of community-dwelling older people with probable MDD. The sample consisted of 378 participants with probable dementia, with 47.3% of them presenting MDD. The factors that were found to be associated with MDD were sex, living status, mobility, and nutritional status. Knowing the factors that can predict a condition such as MDD is extremely important, both for prevention and for the customization of interventions.

Suggested Citation

  • Susana Sousa & Constança Paúl & Laetitia Teixeira, 2021. "Predictors of Major Depressive Disorder in Older People," IJERPH, MDPI, vol. 18(22), pages 1-9, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11894-:d:677977
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/22/11894/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/22/11894/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Pedro Rocha & Paulina Clara Dagnino & Ronan O’Sullivan & Aureli Soria-Frisch & Constança Paúl, 2022. "BRAINCODE for Cognitive Impairment Diagnosis in Older Adults: Designing a Case–Control Pilot Study," IJERPH, MDPI, vol. 19(9), pages 1-9, May.

    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:gam:jijerp:v:18:y:2021:i:22:p:11894-:d:677977. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.