Evidence map›Paper›PMID 39638457›Full record

ArticleInternational neurourology journal2024

Lower Urinary Tract Symptoms in Mental Illness: A Topic Modeling Approach to Online Mental Health Communities.

Jung Eun Yu, Jung Yoon Kim

Abstract read
In one paragraph

Article in International neurourology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. The Evolving Landscape of Urology.International neurourology journal · 2024
    Article
4 · The record

Corrections and comments

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

2 authors.

Jung Eun YuGeneral Graduate School, Department of Game and Interactive Media, Gachon University, Seongnam, Korea.
Jung Yoon KimDepartment of Game Media, College of IT Convergence, Gachon University, Seongnam, Korea.

Funding

Ministry of EducationNational Research Foundation of Korea 2022R1F1A1066602
6 · The paper itself

Abstract

purposeThis study aimed to provide foundational data to enhance integrated interventions by gaining an in-depth understanding of the perceptions of patients experiencing both mental illness and lower urinary tract symptoms (LUTS), which carry a high risk of comorbidity and potential mutual exacerbation.

methodsData were collected from a large online mental health community in South Korea, active among individuals with mental illness and their families (as of October 21, 2024: 113,060 members and 368,352 posts). Posts containing the keywords 'pee' or 'urine' (a total of 986 posts) were analyzed including their titles, content, and categories. Analyses included word cloud, latent Dirichlet allocation topic modeling, category frequency analysis, and qualitative analysis.

resultsThe findings indicate that among individuals with mental illness, LUTS are perceived as side effects of psychiatric medications and regarded as inevitable. Many patients attempted self-regulation or discontinuation of medication instead of seeking urological treatment, but these attempts often led to failure. The study revealed that participants used the community to explore the relationship between LUTS and mental illness. LUTS had negative impacts on family and social life, and urinary incontinence exacerbated emotional distress such as self-blame and despair.

conclusionPatients with mental illness experiencing LUTS often engage in self-regulation or discontinuation of medication. It underscores the need for accurate information and warnings about risks. As these patients endure discomfort and frustration in daily life, symptom deterioration is likely and necessitates proactive urological intervention to improve their quality of life. This study enhances understanding of the impact of co-occurring mental illness and LUTS and highlights the need for proper information and guidance. However, it has limitations including reliance on self-reported data and limited sample representativeness. Future research can address these issues by linking medical diagnoses with objective data and expanding the sample size.

Indexed as

Latent Dirichlet allocationLower urinary tract symptomsMental illnessText-miningTopic modeling

Identifiers

PMID39638457
PMCPMC11627224

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.