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Development and Validation of a Risk Prediction Model for Female Stress Urinary Incontinence in Rural Fujian, China
- Publication Year :
- 2024
-
Abstract
- Qi Wang,1,* Xiao-Xiang Jiang,1,* Yan-Zhen Que,2,* Xiao-Ying Wan,2 Chao-Qin Lin1 1Department of Gynecology, Fujian Maternity and Child Health Hospital, Fujian Provincial Key Laboratory of Women and Childrenâs Critical Diseases Research, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Peopleâs Republic of China; 2Department of Gynecology and Obstetrics, Shaxian General Hospital, Sanming, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Chao-Qin Lin, Department of Gynecology, Fujian Maternity and Child Health Hospital, 18 Dao-Shan Street, Gu-Lou District, Fuzhou, 350000, Peopleâs Republic of China, Tel +8613950422970, Email lcqfjsfy@126.com Xiao-Xiang Jiang, Department of Gynecology, Fujian Maternity and Child Health Hospital, Fujian Provincial Key Laboratory of Women and Childrenâs Critical Diseases Research, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Peopleâs Republic of China, Email 19959179535@163.comPurpose: With Chinaâs rapidly aging population and the rising proportion of obese people, an increase in the number of women suffering from urinary incontinence (UI) is to be expected. In order to identify high-risk groups before leakage occurs, we aimed to develop and validate a model to predict the risk of stress UI (SUI) in rural women.Patients and methods: This study included women aged 20â 70 years in rural Fujian who participated in an epidemiologic survey of female UI conducted between June and October 2022. Subsequently the data was randomly divided into training and validation sets in a ratio of 7:3. Univariate and multivariate logistic regression analyses were used to identify independent risk factors as well as to further construct a nomogram for risk prediction. Finally, concordance index (C-index), calibration curve and decision curve anal
Details
- Database :
- OAIster
- Notes :
- text/html, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1434005452
- Document Type :
- Electronic Resource