IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v31y2022i1p100-114.html
   My bibliography  Save this article

Socio-Demographic and Coping Correlates and Predictors of Depressive Symptoms Among Low-Income and Ethnic Minority Mothers At-Risk

Author

Listed:
  • Rahshida Atkins
  • Shanda Johnson
  • Manuel C. F. Pontes
  • Tiffany Stellmacher
  • Daniella Gadaleta
  • Helene Lewis
  • Arta Qosja
  • Dana Finkelstein
  • Wanda Williams

Abstract

This study identified coping and sociodemographic correlates and predictors of depressive symptoms in mothers at risk for clinical depression. A descriptive, cross-sectional design was employed. A convenience sample of 88 low-income or ethnic-minority mothers aged 21 to 45 completed a depression scale, demographic data sheet, and responded to an open-ended question. Content analysis, descriptive, and inferential statistics was used for data analysis. Exactly 42.5% of mothers reported high depressive symptoms (>16). Lower income levels ( r  = .342, p  = .01) and head-of-household status ( r  = .220, p  = .04) were significantly associated with higher depressive symptoms. Those who used social support coping had lower depressive symptoms than those who did not ( t  = 2.50, p  = .014). Those using emotion-focused coping only had higher depressive symptoms than those using a mix of coping strategies ( t  = 2.60, p  = .011). Healthcare providers can employ vigilant depression screening and encourage utilization of a mix of problem and emotion-focused coping strategies to reduce depressive symptoms and prevent clinical depression.

Suggested Citation

  • Rahshida Atkins & Shanda Johnson & Manuel C. F. Pontes & Tiffany Stellmacher & Daniella Gadaleta & Helene Lewis & Arta Qosja & Dana Finkelstein & Wanda Williams, 2022. "Socio-Demographic and Coping Correlates and Predictors of Depressive Symptoms Among Low-Income and Ethnic Minority Mothers At-Risk," Clinical Nursing Research, , vol. 31(1), pages 100-114, January.
    • Handle: RePEc:sae:clnure:v:31:y:2022:i:1:p:100-114
    DOI: 10.1177/10547738211029685
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738211029685
    Download Restriction: no
    File URL: https://libkey.io/10.1177/10547738211029685?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
    ---><---

    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:sae:clnure:v:31:y:2022:i:1:p:100-114. 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: SAGE Publications (email available below). General contact details of provider: .

    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.