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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Psycho-Oncologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Psycho-Oncology
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Psycho-Oncology
Article . 2022
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The role of interpretation biases and symptom burden in fear of cancer recurrence/progression among ovarian cancer survivors

Authors: Poorva Pradhan; Louise Sharpe; Phyllis Butow; Hayley Russell;

The role of interpretation biases and symptom burden in fear of cancer recurrence/progression among ovarian cancer survivors

Abstract

AbstractBackgroundModels of fear of cancer recurrence or progression (FCR/P) suggest that the way in which people interpret ambiguous physical symptoms is an important contributor to the development and maintenance of FCR/P, but research has not investigated this claim. The aim of this study is to fill that gap.MethodsThis was a cross‐sectional study. Sixty‐two women with ovarian cancer reported completed measures of FCR/P, an interpretation bias task and a symptom checklist. The healthy control group (n = 96) completed the interpretation bias task.ResultsWomen with ovarian cancer were more likely to interpret ambiguous words as health‐related compared to healthy women (p < 0.001; Cohen's d = 1.28). In women with cancer, FCR/P was associated with overall symptom burden (r = 0.25; p = 0.04) and interpretation bias score (r = 0.41; p = 0.001), but interpretation bias and symptom burden were not related (r = 0.22; p = 0.09). Interpretation bias did not moderate the relationship between symptoms and FCR/P.ConclusionsWe found that women with ovarian cancer interpreted ambiguous words as health related more often compared to women without cancer, and this bias was greater for women with higher FCR/P. Symptom burden was also associated with FCR/P. However, interpretation bias did not moderate the relationship between physical symptoms and FCR/P. Hence, the central tenet of the Cancer Threat Interpretation model was not supported in women with ovarian cancer.

Related Organizations
Keywords

Ovarian Neoplasms, Cross-Sectional Studies, Bias, Cancer Survivors, Humans, Female, Fear, Neoplasm Recurrence, Local

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    16
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Related to Research communities
Cancer Research
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