Evidence map›Paper›PMID 42211030›Full record

ArticleFrontiers in global women's health2026

Impact of childbirth mode and interaction of multiple factors on pelvic floor function: a comprehensive analysis of postpartum muscle strength indicators.

Gangwei Wang, Huiling Zhang, Xiaohui Yang, Yuebo Yang, Minjuan Ye, Yifen Li

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Gangwei Wang *Emergency Department, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Huiling Zhang *Department of Gynecology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiaohui YangDepartment of Gynecology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yuebo YangDepartment of Gynecology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Minjuan YeDepartment of Gynecology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yifen LiDepartment of Gynecology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Based on electrophysiological assessment data of pelvic floor muscles from 1,781 women, this study systematically analyzes the association patterns among obstetric history, anthropometric indicators, and pelvic floor function through hierarchical regression modeling, aiming to provide a novel perspective for precise risk assessment. Methods: A retrospective analysis was conducted on data from 1,781 adult women, including age, height, weight, BMI, childbirth history, and pelvic floor screening results. Participants were grouped based on pelvic floor screening scores (above or below 80) and childbirth method (vaginal childbirth or cesarean section). Multiple linear regression was used to analyze risk factors for pelvic floor dysfunction, while Results: Patients were divided into two groups based on pelvic floor screening scores (≥80 and <80). There were statistically significant differences between the <80 group and ≥80 group in age, weight, and BMI (age: 38.73 ± 9.95 years vs. 37.03 ± 8.27 years, weight: 57.26 ± 16.63 kg vs. 55.69 ± 7.22 kg, BMI: 22.67 ± 6.72 vs. 21.88 ± 2.56 kg/m², all Conclusion: Multiple deliveries and longer inter-delivery intervals cumulatively impair pelvic floor function. Individualized rehabilitation should prioritize women with shorter stature, older age, or multiple births, alongside promoting a healthy BMI rather than weight loss alone. Postpartum training should be mode-tailored: activating after vaginal birth, relaxing after cesarean.

Indexed as

biofeedback stimulationcesearean deliverychildbirth methodpelvic floor dysfunctionpelvic floor function screening

Identifiers

PMID42211030
PMCPMC13212269

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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 Socratic graph.