Evidence map›Paper›PMID 35960315›Full record

ArticleInternational urogynecology journal2023

Association between body mass index, trunk and total body fat percentage with urinary incontinence in adult US population.

Jiawei Chen, Liao Peng, Liyuan Xiang, Boya Li, Hong Shen, Deyi Luo

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Article in International urogynecology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
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6citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiawei Chen *Department of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Liao Peng *Department of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Liyuan Xiang *Department of Clinical Research Management, West China Hospital, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Boya LiDepartment of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Hong ShenDepartment of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Deyi LuoDepartment of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China. luodeyi1985@163.com.ORCID 0000-0002-7009-9398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisTo assess the association of body mass index (BMI), trunk and total body fat percentage with the prevalence and severity of urinary incontinence (UI) stratified by gender among a US adult population.

methodsA representative cross-sectional survey of participants aged ≥ 20 years was conducted using the data from the 2011-2018 National Health and Nutrition Examination Survey. Multivariate logistic and linear regression models were used to explore the association among the three obesity measures above with the prevalence and severity of UI.

resultsA total of 6964 individuals (4168 males and 2796 females) enrolled for the final analysis. Among males, the weighted prevalence of UI was 7.8%, with 1.3% stress urinary incontinence, 5.8% urge urinary incontinence and 0.7% mixed urinary incontinence. For females, the weighted prevalence of UI was 54.2%, with 31.9% stress urinary incontinence, 7.0% urge urinary incontinence and 15.6% mixed urinary incontinence. Multivariate logistic regression revealed increased BMI and trunk fat percentage significantly increased odds of UI (BMI: OR = 1.05 [per 1 kg/m

conclusionsAn increased BMI and trunk fat percentage are significantly associated with higher prevalence and severity of UI in females.

Indexed as

Urinary IncontinenceUrinary Incontinence, StressAdipose TissueAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleNutrition SurveysPrevalenceRisk FactorsSurveys and QuestionnairesUrinary Incontinence, UrgeBody mass indexNational Health and Nutrition Examination SurveyTotal fat percentageTrunk fat percentageUrinary 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.