Evidence map›Paper›PMID 41165779›Full record

ArticleInternational urogynecology journal2026

Knowledge, Attitudes, and Practices Regarding Their Own Urinary Incontinence Among Female Clinical Nurses in Shenzhen, China: A Cross-Sectional Study.

Pingping Chen, Xiaoli Liu, Wei Ren, Ling Chen, Wenzhi Cai

Abstract readMulticenter Study
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Article in International urogynecology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Pingping Chen *Department of Gastrointestinal Surgery, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, 518101, China.ORCID 0009-0004-8302-5808
Xiaoli Liu *School of Nursing, Southern Medical University, Guangzhou, 510515, Guangdong, China.ORCID 0009-0008-7119-4320
Wei RenSchool of Nursing, Southern Medical University, Guangzhou, 510515, Guangdong, China.ORCID 0000-0002-8668-4145
Ling ChenDepartment of Gastrointestinal Surgery, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, 518101, China. dangdang601@smu.edu.cn.ORCID 0000-0002-4637-250X
Wenzhi CaiSchool of Nursing, Southern Medical University, Guangzhou, 510515, Guangdong, China. caiwzh@smu.edu.cn.ORCID 0000-0002-2354-5199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisUrinary incontinence (UI) affects 31-46.7% of female clinical nurses, adversely impacting their work performance and quality of life, yet remains underreported and undertreated. On the basis of the Knowledge, Attitudes, and Practices (KAP) framework, this study aimed to: (1) develop and validate a questionnaire about the KAP of clinical nurses with UI regarding their own condition; and (2) investigate the current KAP status and examine the associations between demographic and occupational factors and KAP levels. The findings are expected to inform targeted interventions to improve awareness, early recognition, and self-management of UI among clinical nurses with UI.

methodsThis multicenter cross-sectional study (March-May 2025) recruited clinical nurses with UI from eight tertiary hospitals via convenience sampling. A 32-item Nurses' Self-UI KAP Scale was developed and validated to assess their KAP levels, followed by an analysis of influencing factors based on the questionnaire data. Descriptive statistics and multiple linear regression were performed.

resultsThe validated 32-item Nurses' Self-UI KAP Scale demonstrated high reliability (Cronbach's α = 0.956; S-CVI = 0.913). Among 415 clinical nurses with UI, the mean scores were: knowledge 7.08 ± 2.9, attitude 36.98 ± 7.54, and practice 36.37 ± 7.69. The two lowest-scoring knowledge items revealed key misconceptions: that UI is a normal part of aging and that one should urinate immediately upon feeling the urge. Additionally, more than half of the clinical nurses with UI concealed their condition despite expressing willingness to seek treatment, and only 50.6% adhered to recommended management strategies. Multiple linear regression revealed significantly lower KAP scores in clinical nurses with UI aged 25 years or older relative to those under 25 years (β

conclusionsClinical nurses with UI had basic UI knowledge, positive attitudes, and proactive behaviors. However, several issues persisted, including voiding management strategies and concerning its etiology, a tendency to conceal the condition despite willingness to seek treatment, and low adherence to management protocols. Age, night shifts, and parity influenced KAP, supporting targeted education to improve awareness and care engagement.

Indexed as

Health Knowledge, Attitudes, PracticeNursesUrinary IncontinenceAdultChinaCross-Sectional StudiesFemaleHumansMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung AdultAttitudeClinical nurses with UIKnowledgePracticeUrinary incontinence

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.