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Cited by 302

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Finding benefit in breast cancer: Relations with personality, coping, and concurrent well-being

Urcuyo, Kenya R., Boyers, Amy E., Carver, Charles S., Antoni, Michael H.·2005·Psychology & Health

Abstract

Cancer patients experience positive as well as adverse consequences from cancer diagnosis and treatment. The work reported here was part of an effort to characterize the experiences of benefit finding in breast cancer patients. A sample of 230 early-stage breast cancer patients completed a set of benefit finding items in the year post-surgery. This measure was then related to measures of concurrent coping, several aspects of psychosocial well-being, demographic variables, and several other personality traits. Benefit finding related positively to trait optimism, and to positive reframing and religious activity as coping reactions. Benefit finding related inversely to emotional distress, but was relatively unrelated to other measures of well-being.

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Registry

Crossref · 10.1080/08870440512331317634

Cites

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Metadata

Authors
Urcuyo, K. R., Boyers, A. E., Carver, C. S., & Antoni, M. H.
Venue
Psychology & Health
Published
2005-04
Volume
20
Issue
2
Pages
175-192
ISSN
  • 0887-0446 (ISSN-L)
  • 1476-8321
OpenAlex
W2012194770
Cited by
302
References
87
FWCI
6.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Finding benefit in breast cancer: Relations with personality, coping, and concurrent well-being. https://app.cochat.ai/papers/10.1080/08870440512331317634
The paper
Urcuyo, K. R., Boyers, A. E., Carver, C. S., & Antoni, M. H. (2005). Finding benefit in breast cancer: Relations with personality, coping, and concurrent well-being. Psychology & Health. https://doi.org/10.1080/08870440512331317634

Data sources

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.