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Publication Information
Affiliation
Department of Psychology, Anesthesiology and Urology, Queen's University, Kingston, Ontario, Canada. dean.tripp@queensu.ca
Authors
Alexander RB, Fowler JE Jr, Kusek JW, Landis JR, Litwin MS, McNaughton-Collins M, National Institutes of Health-Chronic Prostatitis Collaborative Research Network (NIH-CPCRN) Study Group, Nickel JC, Nyberg LM, O'Leary MP, Pontari MA, Schaeffer AJ, Tripp DA, Wang Y
Citation
Tripp DA, Nickel JC, Wang Y, Litwin MS, McNaughton-Collins M, Landis JR, Alexander RB, Schaeffer AJ, O'Leary MP, Pontari MA, Fowler JE Jr, Nyberg LM, Kusek JW, National Institutes of Health-Chronic Prostatitis Collaborative Research Network (NIH-CPCRN) Study Group. Catastrophizing and pain-contingent rest predict patient adjustment in men with chronic prostatitis/chronic pelvic pain syndrome. J Pain 2006 Oct;7(10):697-708.Abstract
Cognitive/behavioral and environmental variables are significant predictors of patient adjustment in chronic pain. Using a biopsychosocial template and selecting several pain-relevant constructs from physical, cognitive/behavioral, and environmental predictors, outcomes of pain and disability in chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) were explored. Men (n = 253) from a North American multi-institutional NIH-funded Chronic Prostatitis Cohort Study in 6 US and 1 Canadian centers participated in a survey examining pain and disability. Measures included demographics, urinary symptoms, depression, pain, disability, catastrophizing, control over pain, pain-contingent rest, social support, and solicitous responses from a significant other. Regressions showed that urinary symptoms (beta = .20), depression (beta = .24), and helplessness catastrophizing (beta = .29) predicted overall pain. Further, affective pain was predicted by depression (beta = .39) and helplessness catastrophizing (beta = .44), whereas sensory pain was predicted by urinary symptoms (beta = .25) and helplessness catastrophizing (beta = .37). With regard to disability, urinary symptoms (beta = .17), pain (beta = .21), and pain-contingent rest (beta = .33) were the predictors. These results suggest cognitive/behavioral variables (ie, catastrophizing, pain-contingent rest) may have significant impact on patient adjustment in CP/CPPS. Findings support the need for greater research of such pain-related variables in CP/CPPS.