Evidence map›Paper›PMID 34716535›Full record

ArticleIrish journal of medical science2022

A mobile application tool for standing posture analysis: development, validity, and reliability.

Eren Timurtaş, Ender Ersin Avcı, Kedar Mate, Neslihan Karabacak, Mine Gülden Polat, İlkşan Demirbüken

Open access · bronzeAbstract read
In one paragraph

Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. 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

6 authors at 2 institutions in 2 countries.

Eren TimurtaşFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Marmara University, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-9033-4327
Ender Ersin AvcıFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Marmara University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-8089-0351
Kedar MateCentre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, Montréal, Canada.ORCID http://orcid.org/0000-0003-0027-846X
Neslihan KarabacakFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Marmara University, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-1177-7926
Mine Gülden PolatFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Marmara University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-9705-9740
İlkşan DemirbükenFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Marmara University, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-0566-5784
Marmara University · TRMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing mobile application for postural assessments has been drawing a rising interest due to widespread use of smartphones. Although there are some mobile applications in use, validated mobile tools for accurate postural assessment are still warranted.

aimsThis study aimed to develop Fizyoprint mobile application tool to assess standing posture and investigate the validity and reliability of the application in young adults.

methodsA convenience sample of 20 young adults (12 men and 8 women with a mean age of 21.3 ± 2.2 years) and 2 physiotherapists as raters participated in the study. The participant's digital images were obtained from the anterior, posterior, and right lateral sides. The raters selected the anatomic reference points by using digital markers in the app screen, and the Fizyoprint application, with Turkish language option, calculated a total of 26 posture variables, including 11 distance and 15 angle variables. Each participant was assessed twice (1-week interval) by 2 raters with Fizyoprint. Inter- and intra-rater reliabilities were estimated using the intraclass correlation coefficient. The BioTonix™ posture analysis system was used for validation.

resultsA total of 80.7% (21 variables) indicated acceptable to excellent intra-rater reliability results. A total of 57.7% (15 variables) were found to be acceptable to excellent for inter-rater measurements. The results confirmed the validity of the Fizyoprint application for testing the standing posture.

conclusionsFizyoprint application is a new, valid, free mobile tool with acceptable concordance with BioTonix™ postural analysis system for assessing standing posture. Further studies are warranted to test the current application in different populations and musculoskeletal conditions.

Indexed as

Mobile ApplicationsAdultFemaleHumansMalePostureReproducibility of ResultsSmartphoneYoung AdultAssessmentMobile applicationsPostureReliabilityValidity

Identifiers

PMID34716535
PMCPMC8556145
OpenAlexW3211058269

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.