Evidence map›Paper›PMID 38373965›Full record

ArticleBMC public health2024

Urinary phenols and parabens exposure in relation to urinary incontinence in the US population.

Jinjiang Jiang, Bo Chen, Bo Tang, Jinze Li, Chensong Zhang, Daqing Tan, Ting Zhang, Qiang Wei

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Jinjiang Jiang *Department of Urology, Institute of Urology, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Chengdu, Sichuan, China.
Bo Chen *Department of Urology, Institute of Urology, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Chengdu, Sichuan, China.
Bo Tang *Department of Urology, Institute of Urology, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Chengdu, Sichuan, China.
Jinze LiDepartment of Urology, Institute of Urology, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Chengdu, Sichuan, China.
Chensong ZhangState Key Laboratory of Biotherapy and Cancer Center, Frontiers Science Center for Disease-Related Molecular Network, and National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, Sichuan, China.
Daqing TanDepartment of Urology, Institute of Urology, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Chengdu, Sichuan, China.
Ting ZhangSchool of Basic Medicine, Harbin Medical Hospital, Harbin, China.
Qiang WeiDepartment of Urology, Institute of Urology, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Chengdu, Sichuan, China. weiqiang933@126.com.
Sichuan University · CNHarbin Medical University · CN

Funding

National Natural Science Foundation of China 81974098National Natural Science Foundation of China 82102778Sichuan Province Science and Technology Support Program 2020YFS0068
6 · The paper itself

Abstract

backgroundOur study aimed to investigate the impact of urinary concentrations of personal care products (PCPs)-related phenols (PNs) and parabens (PBs), including Triclosan (TCS), Bisphenol A (BPA), Benzophenone-3 (BP-3), Butylparaben (BPB), Ethylparaben (EPB), Methylparaben (MPB), and Propylparaben (PPB), on urinary incontinence (UI) occurrence.

methodWe conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2007 to 2016. Regression analysis was employed to investigate the relationship between exposure to PCPs-related substances, various levels of exposure, and UI within both the general population and the female demographic. Additionally, the Bayesian Kernel Machine Regression (BKMR) model was used to assess the effects of mixtures on UI.

resultsOur analysis comprised 7,690 participants who self-reported their diagnosis. Among them, 12.80% experienced stress urinary incontinence (SUI), 11.80% reported urge urinary incontinence (UUI), and 10.22% exhibited mixed urinary incontinence (MUI). In our fully adjusted multivariable models, BP-3 exposure exhibited a positive association with SUI (OR 1.07, 95% CI 1.02-1.14, p = 0.045). BPA exposure correlated with an increased risk of UUI (OR 1.21, 95% CI 1.01-1.44, p = 0.046) and MUI (OR 1.26, 95% CI 1.02-1.54, p = 0.029). TCS exposure displayed a negative correlation with the incidence of MUI (OR 0.87, 95% CI 0.79-0.97, p = 0.009). No significant links were observed between parabens and urinary incontinence. Notably, among the female population, our investigation revealed that BPA exposure heightened the risk of MUI (OR 1.28, 95% CI 1.01-1.63, p = 0.043). Participants in the highest tertile of BP-3 exposure demonstrated elevated likelihoods of SUI and MUI compared to those in the lowest tertile. In the BKMR analysis, negative trends were observed between the mixture and the risks of UUI and MUI when the mixture ranged from the 25th to the 40th and 35th to the 40th percentiles or above, respectively. Additionally, a positive trend was identified between the mixture and MUI when it was in the 40th to 55th percentile.

conclusionIn conclusion, our findings suggest that exposure to BPA, TCS, and BP-3 may contribute to the development of urinary incontinence.

Indexed as

Urinary IncontinenceUrinary Incontinence, StressBayes TheoremCross-Sectional StudiesFemaleHumansNutrition SurveysParabensParabensbenzophenone-3bisphenol AParabensPersonal care productstriclosanUrinary incontinence

Identifiers

PMID38373965
PMCPMC10875867
OpenAlexW4391928757

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.