Evidence map›Paper›PMID 39354433›Full record

ArticleBMC musculoskeletal disorders2024

The relationship between static and dynamic postural deformities with pain and quality of life in non-athletic women.

Maria Batebi, Behnaz Ganji Namin, Mohammad Hossein Nasermelli, Maryam Abolhasani, Amir Hesam Salmasi Fard

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Article in BMC musculoskeletal disorders, 2024. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Maria BatebiDepartment of Sport Injuries and Corrective Exercises, Faculty of Sports Sciences, Islamic Azad University, Karaj Branch, Karaj, Iran. mariabatebi83@gmail.com.
Behnaz Ganji NaminDepartment of Sport Injuries and Corrective Exercises, Faculty of Sports Sciences, Islamic Azad University, Karaj Branch, Karaj, Iran.
Mohammad Hossein NasermelliDepartment of Sport Injuries and Corrective Exercises, Faculty of Sports Sciences, Islamic Azad University, Karaj Branch, Karaj, Iran.
Maryam AbolhasaniCardiac Primary Prevention Research Center, Cardiovascular Diseases Research Centre, Tehran University of Medical Sciences, Tehran, Iran.
Amir Hesam Salmasi FardDepartment of Exercise Physiology, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assessment of the postural condition with functional tests are used with the least facilities in the shortest time, for a wide the range of movements for different parts of the body. Both static and dynamic posture measurements are predictive of injury. These two assessments provide different information regarding posture control. Also, with the advancement of this technology, the speed of posture assessment and deformity diagnosis can be increased and done with the minimum facilities. This can signal a new method for the quick diagnosis of abnormalities and ultimately prevent or correct psychological effects and musculoskeletal pain in the future. Because as seen according to the citations, abnormalities cause musculoskeletal pains, movement restrictions and ultimately affect the quality of life.

methodsThe current research is of the applied and semi-experimental type, and in terms of the results it is of the relational and correlational type. In this research, 148 non-Athletic women from Fardis City participated, in which the results obtained from the static evaluation was analyzed by the Posture Screen application after taking photos from four directions using a smartphone, and also the dynamic evaluation was identified and analyzed by the researcher using the overhead squat test of compensatory movements, with the data that from Cornell pain and quality of life SF-36 questionnaires was. Data description and correlation between variables were done with the η coefficient method.

resultsAccording to the findings there is a positive and significant correlation between the prevalence of uneven pelvic deformity and the amount of pain in non-athletic women (P = 0.036, η

conclusionsAccording to the results, deformities have an effect on pain and the frequency of pain, on the other hand, in the present study, dynamic evaluations showed deformities more accurately than static evaluations.

Indexed as

Musculoskeletal PainPostureQuality of LifeAdolescentAdultFemaleHumansPain MeasurementSurveys and QuestionnairesYoung AdultDynamic deformitiesPainQuality of lifeSF-36Static deformities

Identifiers

PMID39354433
PMCPMC11446062

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Registered trials

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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.