Evidence map›Paper›PMID 40538666›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2025

Investigating the Risk Indicators of Urinary Incontinence Among Young Nulligravid Women: A Cross-Sectional Study.

Ghada Mohammed, Noha A Mousa, Shaikha S Alhaj, Basema Saddik

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

1 citing paper in PubMed.

  1. 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

4 authors.

Ghada MohammedClinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.ORCID https://orcid.org/0000-0001-9644-0761
Noha A MousaClinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Shaikha S AlhajClinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Basema SaddikDepartment of Family and Community Medicine and Behavioral Sciences, College of Medicine, University of Sharjah, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary incontinence (UI) and associated lower urinary tract symptoms (LUTS) are well documented in older, multiparous women, with established risk factors such as menopause, neurological disorders, and diabetes mellitus. However, emerging evidence indicates that young, nulligravid women without these traditional risk factors may also be affected. This study explores the prevalence, risk factors, and impact of UI and LUTS in this population. Methods: A cross-sectional study was conducted using an anonymous online questionnaire adapted from the International Consultation on Incontinence Questionnaire for Female Lower Urinary Tract Symptoms and the Lower Urinary Tract Symptoms Quality of Life. Participants were women aged 18-25 years who had never been pregnant. Results: Approximately one-third of participants reported experiencing UI (urge, stress, or mixed incontinence), whereas 45.9% reported at least one LUTS without UI. Significant associations were identified between UI and increased body mass index ( Conclusions: UI and LUTS are prevalent in young nulligravid women, with modifiable risk factors such as lifestyle habits and toilet behaviors playing a critical role. These findings highlight the need for community awareness programs and proactive patient education during clinical encounters, as affected women are unlikely to seek medical advice voluntarily.

Indexed as

nulligravidastress incontinencetoilet behaviorurge incontinenceurinary incontinence

Identifiers

PMID40538666
PMCPMC12177332

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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.