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Article . 2018 . Peer-reviewed
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Article . 2018
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Psychological Defense Mechanisms and Alexithymia in Cancer Patients

Authors: Seyed Reza SeyedTabaee; Parvin Rahmatinejad; Seyed Davood Mohammadi; Seyed Davood Mohammadi; Valiollah Akbari;

Psychological Defense Mechanisms and Alexithymia in Cancer Patients

Abstract

Introduction: The goal of this research was to compare Alexithymia and psychological defense mechanisms in cancer patients with normal group. Also, investigation of the predictive role of three defense mechanisms in Alexithymia was considered. Materials and Methods: From chemotherapy ward of Shahid Beheshti hospital of Qom city, 45 cancer patients were selected by convenient sampling method. Also, 45 employees of this hospital were included as the normal group. Defense Mechanisms Questionnaire and Toronto Alexithymia Scale-20 were used. Data was analyzed with Independent Sample T-test, Pearson Correlation and Multivariate Regression. Results: Compared with normal people, cancerous patients had higher scores in alexithymia (p=0.01), difficulty in emotions recognition subscale (p=0.03) and non-developed defense mechanisms (p=0.007). Non-developed defense mechanisms had significant relationships with alexithymia and difficulty in emotion’s recognition and description subscales (p>0.01), also non-developed defense mechanisms could predict alexithymia in cancerous patients (p>0.005). Conclusions: Findings indicates that cancer is a stressful event that can cause non-developed defense mechanisms start to emerge as dominant psychological defense mechanisms in the majority of patients. Alexithymia which has a relation with defense mechanisms is also a dynamic reaction for coping with unpleasant emotions driven by the illness.

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Keywords

Alexithymia, Medicine (General), R5-920, Psychological defense mechanisms, R, Medicine, Cancer

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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!
0
Average
Average
Average
gold
Related to Research communities
Cancer Research