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Cited by 581

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Prospective Patterns of Resilience and Maladjustment During Widowhood.

Bonanno, George A., Wortman, Camille B., Nesse, Randolph M.·2004·Psychology and Aging

Abstract

Using prospective longitudinal data on an older sample beginning prior to the death of a spouse, G. A. Bonanno et al. (2002) distinguished 5 unique trajectories of bereavement outcome: common grief, chronic grief, chronic depression, depression followed by improvement, and resilience. These trajectories having been identified, the aims of the current study were to examine differences in how respondents in each group reacted to and processed the loss. Specific hypotheses were tested regarding differences in coping, meaning making, context, and representations of the lost relationship. Results suggest that chronic grief stems from the upheaval surrounding the loss of a healthy spouse, whereas chronic depression results from more enduring emotional difficulties that are exacerbated by the loss. Both the resilient and the depressed-improved groups showed remarkably healthy profiles and relatively little evidence of either struggling with or denying/avoiding the loss.

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Crossref · 10.1037/0882-7974.19.2.260

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Metadata

Authors
Bonanno, G. A., Wortman, C. B., & Nesse, R. M.
Venue
Psychology and Aging
Published
2004
Volume
19
Issue
2
Pages
260-271
ISSN
  • 0882-7974 (ISSN-L)
  • 1939-1498
OpenAlex
W2116512759
Cited by
581
References
10
FWCI
22.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prospective Patterns of Resilience and Maladjustment During Widowhood. https://app.cochat.ai/papers/10.1037/0882-7974.19.2.260
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Bonanno, G. A., Wortman, C. B., & Nesse, R. M. (2004). Prospective Patterns of Resilience and Maladjustment During Widowhood. Psychology and Aging. https://doi.org/10.1037/0882-7974.19.2.260

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.