JOURNAL ARTICLE
The Fourth Age in Prospect.
Published In: Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2023, v. 78, n. 12. P. 2062 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ekerdt, David J; Adamson, Erin; HasmanováMarhánková, Jaroslava; Chin, David C W; Fung, Helene H; Liou, Shyhnan; Morgan, Cyleen A; Lessenich, Stephan; Münch, Anne 3 of 3
Abstract
This article evaluates the theory by Higgs and Gilleard that the "fourth age"—a phase of deep old age characterized by frailty, abjection, and a moral imperative to care—is best understood as a "social imaginary," a shared cultural understanding about dependency and decline in later life. Through qualitative interviews with 138 independently living adults aged 70 and older across five sites in Czechia, Germany, Hong Kong, Taiwan, and the United States, the study finds consistent recognition of frailty's onset, negative emotional responses to dependence (abjection), and concerns about the burden of care on others. Participants often expressed dread of losing independence, sometimes preferring death to becoming dependent, and acknowledged the complex social dynamics involved in receiving care. The findings support the claim that the fourth-age imaginary has a universal quality rooted in human corporeality and senescence, influencing how older adults anticipate and manage their futures across diverse cultural contexts.
Additional Information
- Source:Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2023/12, Vol. 78, Issue 12, p2062
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:1079-5014
- DOI:10.1093/geronb/gbad144
- Accession Number:174108220
- 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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