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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19648

Title: Resilience as a predictor for emotional response to the diagnosis and surgery in breast cancer patients.
Authors: Markovitz, S.E.
Schrooten, Ward
Arntz, A.
Peters, M.L.
Issue Date: 2015
Citation: PSYCHO-ONCOLOGY, 24 (12), p. 1639-1645
Abstract: OBJECTIVE: The purposes of the present study were to investigate the role of resilience in the prediction of emotional response in breast cancer patients and to examine whether this association is specific for women undergoing this emotionally taxing condition or whether resilience is more generally associated with higher levels of emotional well-being. METHODS: Two hundred fifty-three breast cancer patients and 211 healthy female controls completed four psychological questionnaires. Measures comprised the Connor-Davidson Resilience Scale, the Hospital Anxiety and Depression Scale, Positive and Negative Affect Schedule, and two happiness items. Cancer patients were assessed after diagnosis and surgery. RESULTS: Cancer patients reported higher levels of anxiety, depression, and negative affect and lower levels of positive affect and current happiness compared with control women. There was no difference between the two groups in level of resilience. Higher levels of resilience were related to better emotional adjustment both in women with breast cancer and in control women, but this association was stronger within the sample of cancer patients. In fact, patients scoring high on resilience seemed to experience similar levels of anxiety, depression, and current happiness as healthy women. CONCLUSION: Our results confirm that resilience may at least partially protect against emotional distress in cancer patients. Our findings suggest that resilience may be a relatively stable trait that is not affected by adversity.
Notes: Correspondence to: ZOL Ziekenhuizen Oost-Limburg, Genk, Belgium. E-mail: Sabine.Markovitz@zol.be
URI: http://hdl.handle.net/1942/19648
DOI: 10.1002/pon.3834
ISI #: 000368435000007
ISSN: 1057-9249
Category: A1
Type: Journal Contribution
Validation: ecoom, 2017
Appears in Collections: Research publications

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