Evidence map›Paper›PMID 32775419›Full record

ArticleBioMed research international2020

A Mobile Application Penyikang Applied in Postpartum Pelvic Floor Dysfunction: A Cross-Sectional Study to Analyze the Factors Influencing Postpartum Pelvic Floor Muscle Strength and Women's Participation in Treatment.

Juan Li, Xiaoyan Sun, Congyu Wang, Zujuan Zhang, Zhenwei Xie

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Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Juan LiWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiaoyan SunWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Congyu WangDepartment of Psychology, Tsinghua University, Beijing, China.
Zujuan ZhangWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhenwei XieWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-5996-390X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPostpartum pelvic floor muscle (PFM) injuries are the result of pregnancy and delivery, which lead to a series of symptoms requiring long-term follow-up. Mobile health platforms are progressively used for monitoring clinical conditions in medical subjects. This survey was a cross-sectional design based on collecting data from an application (Penyikang). We retrospectively analyzed the risk factors for weak postpartum PFM and further analyzed the factors influencing women's participation in the treatment which may help to improve the app's application in the future.

methodsWe enrolled postpartum women who gave birth at the Women's Hospital, Zhejiang University School of Medicine from August to November 2017; trained them to use the app; and collected the demographic and clinical information. This app requires users to fill questionnaires to assess their knowledge of pelvic floor dysfunction (PFD) and pelvic floor muscle training (PFMT) and experience with PFMT, and each therapy evaluation was restored. The relationship between the knowledge of PFMT/PFD, UI symptoms, and PFM strength was analyzed. Cluster analysis was used to define the degree of participation and identify the factors influencing the patients' participation in intensive therapy and evaluation.

results1982 postpartum women who enrolled in the app program were defined as weak PFM. Younger maternal age, cesarean section, and without delivery injury were found as the prognostic factors to PFM strength (both type I and type II muscle fibers) (

conclusionsThe mobile app provides a new applicative way to investigate postpartum PFD. The factors influencing women's participation can help us focus on strategies to increase the patients' compliance, and then we will apply the app into more areas to improve the prevention and treatment of postpartum PFD.

Indexed as

Cesarean SectionCross-Sectional StudiesExercise TherapyFemaleHumansMobile ApplicationsMuscle ContractionMuscle StrengthPelvic FloorPelvic Floor DisordersPostpartum PeriodPregnancyRetrospective StudiesUrinary Incontinence

Identifiers

PMID32775419
PMCPMC7407008

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