Evidence map›Paper›PMID 37085822›Full record

ArticleBMC sports science, medicine & rehabilitation2023

The association between different physical activity levels and flexion-relaxation phenomenon in women: a cross-sectional study.

Yangzheng Li, Junjie Pei, Changsheng Li, Fangchao Wu, Yechao Tao

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2023. 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

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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. Article
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

5 authors.

Yangzheng LiDepartment of Rehabilitation Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Junjie PeiDepartment of Rehabilitation Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China. junjie_pei@zju.edu.cn.
Changsheng LiDepartment of Rehabilitation Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Fangchao WuDepartment of Rehabilitation Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Yechao TaoDepartment of Rehabilitation Medicine, Haiyan Rehabilitation and Care Hospital, Jiaxing, 3140000, Zhejiang, China.

Funding

Haiyan County Science and Technology Project 2019SC04
6 · The paper itself

Abstract

backgroundTo investigate whether the flexion-relaxation phenomenon differs in women with different physical activity levels.

methodsSeventy-two subjects were recruited for this study. The electromyographic activity of the erector spinae and multifidus muscles was recorded during a flexion task using a surface electromyographic device. The flexion-relaxation and extension-relaxation ratios were calculated. Participants were classified into different physical activity level groups based on their responses to the International Physical Activity Questionnaire. A Welch analysis of variance was conducted to compare the flexion-relaxation ratio and extension-relaxation ratio between groups.

resultsA significant difference in the flexion-relaxation and extension-relaxation ratio was observed in both the erector spinae and multifidus muscles between different levels of physical activity.

conclusionsIn this study, we observed that female participants with high levels of physical activity showed a more pronounced flexion-relaxation phenomenon compared to those with moderate and low levels of physical activity. No significant difference was found between moderate and low physical activity levels. The findings of our study highlight the association between physical activity and the mechanics of the spinal stabilising muscles.

Indexed as

Flexion-relaxation phenomenonLow back painPhysical activity

Identifiers

PMID37085822
PMCPMC10120151

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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.