JOURNAL ARTICLE

Gender Differences in Depressive Symptoms Following Child Death in Later Life.

  • Published In: Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2023, v. 78, n. 9. P. 1591 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mellencamp, Kagan A 3 of 3

Abstract

This article examines psychological adjustment to parental bereavement in later life, focusing on gender differences in depressive symptom trajectories following the death of a child among parents aged 50 and older in the United States. Using nine waves of data from the Health and Retirement Study (HRS, 1998–2014), the study finds that both mothers and fathers experience an immediate increase in depressive symptoms after child death, which generally returns to prebereavement levels within 2 to 4 years. Mothers are more likely to experience child death, report higher depressive symptoms before bereavement, and show a marginally greater short-term increase but faster recovery in depressive symptoms compared to fathers. Moderation analyses reveal that older parental age slows recovery for mothers and increases short-term depressive symptoms for fathers, while the presence of surviving children buffers mothers' short-term distress but not fathers'. These findings highlight the importance of gender and parental characteristics in shaping psychological responses to child loss in later life and suggest targeted support for vulnerable subgroups, including older parents and mothers without surviving children.

Additional Information

  • Source:Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2023/09, Vol. 78, Issue 9, p1591
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:1079-5014
  • DOI:10.1093/geronb/gbac189
  • Accession Number:170744884
  • Copyright Statement:Copyright of Journals of Gerontology Series B: Psychological Sciences & Social Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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