Evidence map›Paper›PMID 39385206›Full record

ArticleBMC public health2024

Association between urinary incontinence and mortality risk among US adults: a prospective cohort study.

Xuelan Peng, Yingjie Hu, Wenzhi Cai

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Heterogeneous associations of cumulative heat exposure with cognitive decline among older Japanese adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xuelan PengDepartment of Nursing, Shenzhen Hospital, Southern Medical University, Number 1333, Xinhu Road, Baoán District, Shenzhen, Guangdong, 518101, China.
Yingjie HuDepartment of Nursing, Shenzhen Hospital, Southern Medical University, Number 1333, Xinhu Road, Baoán District, Shenzhen, Guangdong, 518101, China.
Wenzhi CaiDepartment of Nursing, Shenzhen Hospital, Southern Medical University, Number 1333, Xinhu Road, Baoán District, Shenzhen, Guangdong, 518101, China. caiwzh@smu.edu.cn.

Funding

Science, Technology and Innovation Commission of Shenzhen Municipality JCYJ20210324142406016
6 · The paper itself

Abstract

backgroundUrinary incontinence is frequent in the general population and affects men and women of all ages. UI carries an unsuspected load on the healthcare system. To investigate whether urinary incontinence is associated with all-cause, cardiovascular disease (CVD) and cancer mortality among US adults.

methodsThe analyzed data was collected from the 2007-2016 National Health and Nutrition Examination Survey (NHANES) data. A total of 25,182 US participants with complete information about follow-up information and urinary incontinence (UI) were included in this cohort study. Univariate Cox regression analyses, the UpSet plot, multivariate Cox regression analysis, subgroup analysis of all-cause mortality, and Kaplan-Meier survival curve were employed to support the research objectives.

resultsA total of 25,182 participants had a mean age of 49.8 ± 17.8 years, with 49.3% of them being male and 50.7% of them being female. In the unadjusted model, we found that the risk of all-cause mortality increased by 12% (95% CI 1.03-1.22, P = 0.008), the risk of CVD mortality increased by 21% (95% CI 1.07-1.36, P = 0.002), and the risk of Cancer mortality increased by 8% (95% CI 0.95-1.22, P = 0.243) among individuals with urinary incontinence. After adjusting for multiple variables, we found that the risk of all-cause mortality in patients with urinary incontinence decreased by 1% (95% CI 0.9-1.09), but this decrease was statistically insignificant (P = 0.868), and the risk of Cancer mortality decreased by 3% (95% CI 0.84-1.12, P = 0.686). The association between urinary incontinence and mortality risk were stable in stratified analyses.

conclusionsIn our study, we found that urinary incontinence itself is an independent risk factor for death. The association between urinary incontinence and mortality became less significant after adjusting for covariates, this is a common occurrence in statistical analysis. Future research, with larger sample sizes and more robust study designs, is needed to further elucidate the complex relationship between urinary incontinence and mortality risk.

Indexed as

Cardiovascular DiseasesCause of DeathNeoplasmsNutrition SurveysUrinary IncontinenceAdultAgedFemaleHumansMaleMiddle AgedMortalityProspective StudiesRisk FactorsUnited StatesCohort studyMortalityNational Health and Nutrition Examination SurveyNHANESUrinary incontinence

Identifiers

PMID39385206
PMCPMC11463129

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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.