Risk Factors and Pain Characteristics Assessment in Women with Urologic Disease related Chronic Pelvic Pain

Oana Măgurean, M Lucan, G. Iacob
In: Applied Medical Informatics; Vol 30, No 1 (2012); 41-48 · 2012 · W1912556381
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This study identified age, marital status, education, work, delivery complications, and caffeine/alcohol use as risk factors for chronic pelvic pain in women referred for urologic conditions.

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This study evaluated demographic, habitual, medical/reproductive, and pain-characteristic factors associated with chronic pelvic pain in 2469 women referred to a clinical urology unit in Romania between 2006 and 2010, using survey data. Women were stratified by the presence of chronic pelvic pain and analyzed with univariate methods and generalized cluster analysis (k-means) to classify patients, with results tested for correlation with chronic pelvic pain. The authors found that complications at delivery and physical work increased risk, while marital status and higher education were protective, and that age at presentation and age at menarche were lower in those with chronic pelvic pain; caffeine, alcohol, smoking, pain intensity, menstrual pain association, deep intercourse, and bladder filling/voiding symptoms were higher in the chronic pelvic pain group, with classification correlating significantly (p<0.001). This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Purpose: The aim of our study was to evaluate factors predisposing or related to chronic pelvic pain in women, and whether those factors allows classification using generalized cluster analysis, consistent with the presence of chronic pelvic pain. Material and method: A survey was done on 2469 women referred to Clinical Institute of Urology and Renal Transplantation, Cluj-Napoca, Romania, between January 2006 - December 2010. Patients were stratify in regard with presence of chronic pelvic pain (GrA) and assessed in regard with demographic and habitual risk factors, medical and reproductive history, lifestyle, and pain characteristics. Identified factors were used for classification using generalized cluster analysis by k-mean technique. The results were assessed in terms of correlation with the presence of chronic pelvic pain. Results: On univariate analysis, marital status and higher education were protective while complications at delivery and physical work were risk factors for chronic pelvic pain. Age at presentation and age at menarche were lower in GrA, while caffeine and alcohol consumption, number of cigarettes smoked per day, pain intensity, coexistence of pain related to periods, deep intercourse, bladder filling, and voiding have been increased in GrA. Classification of patients correlates with the presence of chronic pelvic pain (p<0.001). Conclusions: Age, marital status, level of education, type of activity, complications at delivery, caffeine and alcohol consumption are risk factors related to chronic pelvic pain in women referred for urologic conditions. Pain intensity is related to chronic pelvic pain, regardless of type and localization. Classification of patients using k-mean technique cluster analysis correlates significantly statistic with chronic pelvic pain.
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Risk Factors and Pain Characteristics Assessment in Women with Urologic Disease related Chronic Pelvic Pain Keywords: Generalized cluster analysis, Chronic pelvic painAbstract Purpose: The aim of our study was to evaluate factors predisposing or related to chronic pelvic pain in women, and whether those factors allows classification using generalized cluster analysis, consistent with the presence of chronic pelvic pain. Material and method: A survey was done on 2469 women referred to Clinical Institute of Urology and Renal Transplantation, Cluj-Napoca, Romania, between January 2006 - December 2010. Patients were stratify in regard with presence of chronic pelvic pain (GrA) and assessed in regard with demographic and habitual risk factors, medical and reproductive history, lifestyle, and pain characteristics. Identified factors were used for classification using generalized cluster analysis by k-mean technique. The results were assessed in terms of correlation with the presence of chronic pelvic pain. Results: On univariate analysis, marital status and higher education were protective while complications at delivery and physical work were risk factors for chronic pelvic pain. Age at presentation and age at menarche were lower in GrA, while caffeine and alcohol consumption, number of cigarettes smoked per day, pain intensity, coexistence of pain related to periods, deep intercourse, bladder filling, and voiding have been increased in GrA. Classification of patients correlates with the presence of chronic pelvic pain (p<0.001). Conclusions: Age, marital status, level of education, type of activity, complications at delivery, caffeine and alcohol consumption are risk factors related to chronic pelvic pain in women referred for urologic conditions. Pain intensity is related to chronic pelvic pain, regardless of type and localization. Classification of patients using k-mean technique cluster analysis correlates significantly statistic with chronic pelvic pain.Downloads Additional Files Published 10.03.2012 How to Cite 1. MĂGUREAN O, LUCAN M, IACOB G. Risk Factors and Pain Characteristics Assessment in Women with Urologic Disease related Chronic Pelvic Pain. Appl Med Inform [Internet]. 2012 Mar. 10 [cited 2026 Jun. 29];30(1):41-8. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/370 Issue Section Articles License All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.

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