Risk factors and a predictive model for mixed urinary incontinence among parous women: Insights from a large-scale multicenter epidemiological investigation
This study identifies key risk factors for MUI in parous women and introduces a validated nomogram with high but not perfect predictive accuracy. The model enables early identification and management of MUI, though further refinement could enhance accuracy.
Authors
- Stefano Manodoro (ORCID: https://orcid.org/0000-0002-1837-0806)
- Chaoqin Lin (ORCID: https://orcid.org/0000-0003-4631-0218)
- Xiaofang Li
- Qi Wang (ORCID: https://orcid.org/0000-0003-3175-2881)
- Huifang Lin
- Xiaoxiang Jiang (ORCID: https://orcid.org/0000-0003-4679-1795)
Institutions
- Fujian Medical University (CN)
- University of Milan (IT)
- Fujian Women and Children Hospital (CN)
- Ospedale San Paolo (IT)
- Fuzhou Maternity and Child Health Care Hospital (CN)
- Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo
Publication Details
- Journal
- Digital Health
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1177/20552076251333661
- Citations
- 1
- Primary Topic
- Pelvic floor disorders treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.67