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Title: Researching Depression in Prostate Cancer Patients: Factors, Timing, and Measures
Contributor(s): Sharpley, Christopher  (author)orcid ; Bitsika, Vicki  (author); Christie, David R H  (author); Denham, James W (author); Duchesne, Gillian M (author); Couper, Jeremy W (author)
Publication Date: 2014
DOI: 10.1089/jomh.2014.0036
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Abstract: Background: Due to the pressing need to understand the causal and associative factors of depression among prostate cancer (PCa) patients, a comprehensive research protocol for investigating depression in prostate cancer patients is suggested as a way of furthering the collection of data in consistent and informative ways. Methods: A detailed review of a range of predictors of, and buffers against, depression, plus methods of assessing depressive symptomatology and optimum time to collect data were used to develop a model for a comprehensive research protocol. Results: A model protocol is described that includes socioeconomic, genetic, endocrinal, immunological, physiological, psychological, relationship, and socioeconomic pathways to depression. In addition, methods of assessing depressive symptomatology are described, plus comorbidity of anxiety with depression, male depression, and the construct of Individual Burden of Illness for Depression. The need to collect multiple measures over time in order to describe variability in symptoms and the relationships between symptoms and other variables is emphasized. Conclusion: This model protocol of research into depression in prostate cancer patients allows for a comprehensive approach that includes predictors, symptoms, and time for observation. Use of this protocol will enhance the understanding and treatment of depression in PCa patients from a 'personalized medicine' perspective.
Publication Type: Journal Article
Source of Publication: Journal of Men's Health, 11(4), p. 145-156
Publisher: Mary Ann Liebert Inc
Place of Publication: United States of America
ISSN: 1875-6859
Field of Research (FOR): 110903 Central Nervous System
Socio-Economic Objective (SEO): 920111 Nervous System and Disorders
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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