IDEAS home Printed from https://ideas.repec.org/a/taf/deveza/v42y2025i1p19-35.html
   My bibliography  Save this article

Household size and depressive symptoms during the COVID-19 pandemic: A gendered analysis

Author

Listed:
  • Umakrishnan Kollamparambil
  • Adeola Oyenubi

Abstract

The study explores the nature of the relationship between household size and depressive symptoms under COVID-19 strict lockdown conditions, when a surge in large-size households observed in South Africa. The study used nationally representative data to implement covariate balancing propensity scores within a multivalued treatment framework (by varying household size) to control for observables. While the study found that both solo living and large-sized households are positively associated with depressive symptoms for males, the depressive symptoms for females are not found to be strongly associated with household size. Further, the analysis indicates that the higher average depressive symptoms observed for males compared to females under the COVID-19 pandemic are largely driven by males in large-size households. The gendered effect points to the different roles that men and women continue to play within the household. The need for policy interventions to consider living arrangements is highlighted through this study.

Suggested Citation

  • Umakrishnan Kollamparambil & Adeola Oyenubi, 2025. "Household size and depressive symptoms during the COVID-19 pandemic: A gendered analysis," Development Southern Africa, Taylor & Francis Journals, vol. 42(1), pages 19-35, January.
  • Handle: RePEc:taf:deveza:v:42:y:2025:i:1:p:19-35
    DOI: 10.1080/0376835X.2024.2408651
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0376835X.2024.2408651
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0376835X.2024.2408651?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:deveza:v:42:y:2025:i:1:p:19-35. 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/CDSA20 .

    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.