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      The Use of Acceptance and Commitment Therapy in Oncology Settings: A Narrative Review

      1 , 1 , 1 , 1
      Psychological Reports
      SAGE Publications

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          Abstract

          Various psychotherapeutic approaches have been developed to address the psychosocial stressors and distress associated with cancer diagnosis and treatment. One such approach, Acceptance and Commitment Therapy (ACT), may be particularly well suited to people with cancer as it offers a model of healthy adaptation to difficult circumstances. This paper provides a description and theoretical rationale for using ACT in psychosocial oncology care that emphasizes emotional distress and cancer-related pain and provides a narrative review of the current state of evidence for this setting. Six studies met eligibility criteria for inclusion in the review. The research designs included one case study, three pre-post cohort studies, and two randomized controlled trials. Cancer diagnoses of patients included breast cancer, ovarian cancer, colorectal cancer, and mixed cancer populations at various stages of disease progression or recovery. ACT interventions demonstrated significant improvements in symptoms including quality of life and psychological flexibility as well as reductions in symptoms including distress, emotional disturbances, physical pain, and traumatic responses. Overall, although there is limited published research currently available, there is some evidence to support ACT as an effective psychotherapeutic approach for cancer patients. Further research is needed for different cancer populations across the illness trajectory. Barriers to implementation are discussed.

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          Mechanisms of mindfulness.

          Recently, the psychological construct mindfulness has received a great deal of attention. The majority of research has focused on clinical studies to evaluate the efficacy of mindfulness-based interventions. This line of research has led to promising data suggesting mindfulness-based interventions are effective for treatment of both psychological and physical symptoms. However, an equally important direction for future research is to investigate questions concerning mechanisms of action underlying mindfulness-based interventions. This theoretical paper proposes a model of mindfulness, in an effort to elucidate potential mechanisms to explain how mindfulness affects positive change. Potential implications and future directions for the empirical study of mechanisms involved in mindfulness are addressed. Copyright (c) 2005 Wiley Periodicals, Inc.
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            Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy.

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              Thought suppression.

              Although thought suppression is a popular form of mental control, research has indicated that it can be counterproductive, helping assure the very state of mind one had hoped to avoid. This chapter reviews the research on suppression, which spans a wide range of domains, including emotions, memory, interpersonal processes, psychophysiological reactions, and psychopathology. The chapter considers the relevant methodological and theoretical issues and suggests directions for future research.
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                Author and article information

                Journal
                Psychological Reports
                Psychol Rep
                SAGE Publications
                0033-2941
                1558-691X
                August 16 2017
                April 2018
                August 24 2017
                April 2018
                : 121
                : 2
                : 229-252
                Affiliations
                [1 ]Department of Psychology, York University, Toronto, Ontario, Canada; Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
                Article
                10.1177/0033294117726061
                28836916
                37419b17-3ccc-4da4-9fbe-a3ff4631f143
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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