Predictors of pain, urinary symptoms and quality of life in patients with chronic pelvic pain syndrome (CPPS): A prospective 12-month follow-up study
Abstract
Objective Chronic pelvic pain syndrome (CPPS) can affect both men and women and often causes substantial impairment to quality of life. Although cross-sectional studies have suggested that psychosocial aspects may constitute important factors in the etiology and maintenance of CPPS, longitudinal studies are rare. Therefore, the present study examines psychosocial factors as prospective predictors of pain intensity, urinary symptoms and impediments to quality of life in men and women with CPPS.Methods Data were collected from patients during visits to a specialized, interdisciplinary outpatient clinic and after 12 months. Outcomes included pain intensity, urinary symptoms and impediments to quality of life, all of which were measured with the NIH-CPSI. Age, sex, depressive-anxious symptomatology (PHQ-ADS), pain catastrophizing (PCS), health anxiety (WI-7) and social support (FSozU) were examined as predictors in multivariate linear regressions.Results Data from 109 patients (59.6% female; age M = 49.3, SD = 16.7) were analyzed. Pain severity (β = .30, p = .004), age (β = .22, p = .02), urinary symptoms (β = .24, p = .01) and depressive-anxious symptomatology (β = .29, p = .009) at baseline emerged as predictors of pain at follow-up. Urinary symptoms were predicted by urinary symptoms (β = .53, p < .001) and depressive-anxious symptomatology (β = .25, p = .01) at baseline; impediments to quality of life were predicted by depressive-anxious symptomatology (β = .27, p = .01).Conclusion Psychological factors, especially depressive-anxious symptomatology, predict CPPS-specific symptom severity and impediments to quality of life after 12 months and thus substantially contribute to the chronification of CPPS. It is recommended to address anxiety and depression in patients with CPPS as early as possible in biopsychosocially oriented treatment approaches.
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Depression and anxiety have been shown to be positive predictors of symptom severity and pain intensity in women with PPP.
“Depression and anxiety have been shown to be positive predictors of symptom severity and pain intensity in women with PPP.38”
From Psychological interventions for women with persistent pelvic pain: A survey of mental health clinicians (2021) · cites this paper as [38]
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- Authors
- Dybowski, C., Löwe, B., & Brünahl, C.
- Affiliations
- Schön Klinik Hamburg Eilbek (DE)
- Corresponding author
- Dybowski, Christoph
- Venue
- Journal of Psychosomatic Research
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 112
- Pages
- 99-106
- ISSN
- 0022-3999 (ISSN-L)
- OpenAlex
- W2885008459
- Cited by
- 34
- References
- 98
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2023: 8 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 2
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Psychosomatic Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- PRANA Foundation (T340/21344/10)
- Topics
- Health Sciences › Medicine › Urology › Urinary Bladder and Prostate Research
- Health Sciences › Medicine › Psychiatry and Mental health › Sexual function and dysfunction studies
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Keywords
- chronic prostatitis, pain intensity, urinary symptoms, quality of life, pain catastrophizing, health anxiety, social support, psychosocial predictors, biopsychosocial treatment
- MeSH terms
- Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Middle Aged, Prospective Studies, Quality of Life, Syndrome, Pelvic Pain, Chronic Pain
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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