Risk factors and nomogram construction for predicting women with chronic pelvic pain:a cross-sectional population study.

ABSTRACT: Chronic pelvic pain (CPP) in women is a critical challenge. Due to the complex etiology and difficulties in diagnosis, it has a greatly negative impact on women's physical and mental health and the healthcare system. At present, there is still a lack of research on the related factors and predictive models of chronic pelvic pain in women. Our study aims to identify risk factors associated with chronic pelvic pain in women and develop a predictive nomogram specifically tailored to high-risk women with CPP. From May to October 2022, trained interviewers conducted face-to-face questionnaire surveys and pelvic floor surface electromyography assessments on women from community hospitals in Nanjing. We constructed a multivariate logistic regression-based predictive model using CPP-related factor

SUBMITTER: Zhu M 

PROVIDER: S-EPMC11330104 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature