Evidence map›Paper›PMID 40607032›Full record

ArticleFrontiers in nutrition2025

Exploring the relationship between appendicular skeletal muscle index and urge urinary incontinence risk in adult women: a cross-sectional analysis of the National Health and Nutrition Examination Survey.

Jinyu Liu, Kangqiang Weng, Guowei Lin, Huaiding Tang, Jianbing Xie, Lixian Li

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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. Review
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

6 authors.

Jinyu LiuDepartment of Urology, The Affiliated Hospital of Putian University, Putian, China.
Kangqiang WengDepartment of Urology, The Affiliated Hospital of Putian University, Putian, China.
Guowei LinDepartment of Urology, The Affiliated Hospital of Putian University, Putian, China.
Huaiding TangDepartment of Urology, The Affiliated Hospital of Putian University, Putian, China.
Jianbing XieDepartment of Urology, The Affiliated Hospital of Putian University, Putian, China.
Lixian LiDepartment of Urology, The Affiliated Hospital of Putian University, Putian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the relationship between the appendicular skeletal muscle index (ASMI) and Urge urinary incontinence (UUI) in a large cohort of adult women. Methods: This study utilized data from the National Health and Nutrition Examination Survey during the periods of 2001-2006 and 2011-2018. ASMI was identified as the exposure factor. UUI was the outcome variable. We first compared the baseline characteristics of individuals with and without UUI. The effect of ASMI on UUI was assessed using weighted multivariate logistic regression models. Additionally, the relationship between the two was illustrated using restricted cubic splines. Results: A total of 19,009 women aged 20 and above participated in this study, with 5,960 diagnosed with UUI and 13,049 not affected. The results of the adjusted multivariate logistic regression analysis showed a significant inverse relationship between ASMI and the probability of UUI. Specifically, with every one-unit rise in ASMI, the likelihood of UUI diminished by 69% in the fully adjusted model (OR = 0.31; 95% CI: 0.12-0.82; Conclusion: The ASMI was significantly negatively correlated with the risk of UUI, suggesting that an increase in ASMI may have been associated with a lower risk of UUI.

Indexed as

appendicular skeletal muscleappendicular skeletal muscle indexNHANESsarcopeniaurge urinary incontinenceurinary incontinence

Identifiers

PMID40607032
PMCPMC12214463

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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.