Literature DB >> 22578191

Disability in women suffering from interstitial cystitis/bladder pain syndrome.

Laura Katz1, Dean A Tripp, J Curtis Nickel, Robert Mayer, Maria Reimann, Arndt van Ophoven.   

Abstract

OBJECTIVES: To examine a biopsychosocial framework of patient disability in patients suffering from interstitial cystitis/bladder pain syndrome (IC/BPS). To evaluate the impact of psychosocial factors on the relationship between pain and disability within women with IC/BPS. PATIENTS AND METHODS: Women with IC/BPS completed questionnaires including demographics, symptoms and problems (IC Symptom and Problem Indices), pain (McGill Pain Questionnaire), quality of life (Medical Outcomes Study - Short Form 12), disability (Pain Disability Index) and psychosocial variables (Center for Epidemiological Studies - Depression Scale; State Trait Anxiety Inventory; Pain Catastrophizing Scale; Multidimensional Scale of Perceived Social Support). Exploratory and confirmatory factor analyses were employed to determine the factor structure and composition of the measured variables. Structural equation modelling was used to examine model fit and the mediation effect of the psychosocial factors (negative affect, catastrophizing and social support) on impairments and functional disability.
RESULTS: Questionnaires completed by 196 women with IC/BPS provided data for the present study. The measurement model showed good fit to the data. Negative affect (P < 0.001) and catastrophizing (P < 0.001) were significant in explaining the relationship between impairments and functional disability, whereas social support did not.
CONCLUSIONS: Disability in patients suffering from IC/BPS is partially explained by the impact of negative affect and catastrophizing. As a result of the refractory nature of IC/BPS, patient management within a biopsychosocial framework represents an essential area of investigation. Decreases in negative affect and catastrophizing will probably lead to improvements in pain-related disability.
© 2012 The Authors BJU International © 2012 BJU International.

Entities:  

Mesh:

Year:  2012        PMID: 22578191     DOI: 10.1111/j.1464-410X.2012.11238.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  8 in total

1.  Examining Psychosocial Mechanisms of Pain-Related Disability in Inflammatory Bowel Disease.

Authors:  Katherine M Fretz; Dean A Tripp; Laura Katz; Mark Ropeleski; Michael J Beyak
Journal:  J Clin Psychol Med Settings       Date:  2020-03

2.  Rates and Correlates of Unemployment Across Four Common Chronic Pain Diagnostic Categories.

Authors:  Hili Giladi; Whitney Scott; Yoram Shir; Michael J L Sullivan
Journal:  J Occup Rehabil       Date:  2015-09

3.  Brain White Matter Abnormalities in Female Interstitial Cystitis/Bladder Pain Syndrome: A MAPP Network Neuroimaging Study.

Authors:  Melissa A Farmer; Lejian Huang; Katherine Martucci; Claire C Yang; Kenneth R Maravilla; Richard E Harris; Daniel J Clauw; Sean Mackey; Benjamin M Ellingson; Emeran A Mayer; Anthony J Schaeffer; A Vania Apkarian
Journal:  J Urol       Date:  2015-02-21       Impact factor: 7.450

4.  [The care situation of patients with interstitial cystitis in Germany: results of a survey of 270 patients].

Authors:  D Jocham; G Froehlich; F Sandig; A Ziegler
Journal:  Urologe A       Date:  2013-05       Impact factor: 0.639

5.  Mechanisms of Quality of Life and Social Support in Inflammatory Bowel Disease.

Authors:  Laura Katz; Dean A Tripp; Mark Ropeleski; William Depew; J Curtis Nickel; Stephen Vanner; Michael J Beyak
Journal:  J Clin Psychol Med Settings       Date:  2016-03

Review 6.  New Insights about Chronic Pelvic Pain Syndrome (CPPS).

Authors:  Keren Grinberg; Yael Sela; Rachel Nissanholtz-Gannot
Journal:  Int J Environ Res Public Health       Date:  2020-04-26       Impact factor: 3.390

7.  How Does Myofascial Physical Therapy Attenuate Pain in Chronic Pelvic Pain Syndrome?

Authors:  Keren Grinberg; Irit Weissman-Fogel; Lior Lowenstein; Liora Abramov; Michal Granot
Journal:  Pain Res Manag       Date:  2019-12-12       Impact factor: 3.037

8.  Unsupervised Machine Learning Approaches Reveal Distinct Phenotypes of Perceived Bladder Pain: A Pilot Study.

Authors:  Patricia J Mwesigwa; Nicholas J Jackson; Ashley T Caron; Falisha Kanji; James E Ackerman; Jessica R Webb; Victoria C S Scott; Karyn S Eilber; David M Underhill; Jennifer T Anger; A Lenore Ackerman
Journal:  Front Pain Res (Lausanne)       Date:  2021-11-05
  8 in total

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