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Development and Validation of a Risk Prediction Model for Female Stress Urinary Incontinence in Rural Fujian, China

Authors :
Wang,Qi
Jiang,Xiao-Xiang
Que,Yan-Zhen
Wan,Xiao-Ying
Lin,Chao-Qin
Wang,Qi
Jiang,Xiao-Xiang
Que,Yan-Zhen
Wan,Xiao-Ying
Lin,Chao-Qin
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 Children’s Critical Diseases Research, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, People’s Republic of China; 2Department of Gynecology and Obstetrics, Shaxian General Hospital, Sanming, People’s 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, People’s 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 Children’s Critical Diseases Research, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, People’s Republic of China, Email 19959179535@163.comPurpose: With China’s 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 20– 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