Artificial Intelligence-Assisted Posture Applicatıon

NCT ID: NCT06785792

Last Updated: 2025-01-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

27 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-09-15

Study Completion Date

2025-04-02

Brief Summary

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Posture is defined as the situation in which each part of the body is properly positioned in the adjacent segment and is in the most ideal position in proportion to the whole body. Posture requires the appropriateness of joint combinations and positions during movement. With the development of technology, various phone and computer-aided applications are used both in the correction and evaluation of posture. It is thought that posture disorders may cause various pathological problems in the future and may lead to functional limitations in the individual. With the developing technology, there are a limited number of studies on the validity and reliability of phone and computer-aided applications in every field of health. The aim of this study is to perform the validity and reliability study of a sensorless objective application integrated with artificial intelligence used in posture evaluation with the developing technology.

Detailed Description

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Posture is defined as the situation in which each part of the body is properly positioned in the adjacent segment and is in the most ideal position in proportion to the whole body. Posture requires the appropriateness of joint combinations and positions during movement. Genetics, the environment in which the individual lives, physical condition, socio-economic level, emotional state, and physiological changes that the individual undergoes during the growth and development process are important intrinsic and extrinsic factors that determine posture. The main purpose of posture analysis is to identify the patient's current postural deviations and to develop appropriate treatment programs and also to evaluate possible changes. In posture analysis, tools such as pendulums, special pens for marking vertebrae, tape measures, rulers, posture boards or wooden blocks are used. When performing posture analysis, the person should be wearing appropriate clothing and their feet should be bare; the analysis is performed when the person is in the position they feel most comfortable in. Posture analysis is performed from three different directions: from the front (anterior), from the side (lateral), and from the back (posterior). There are different methods for posture analysis. These methods can be interpreted with numerical and verbal data. There are also methods where not only the whole body but also body segments can be evaluated separately. In posture analysis, observational methods, New York State and Bragg posture table and head-neck and shoulder girdle, sagittal plane photography method, symmetrygraph, lateral radiography, distance measurements, goniometric measurements are some of these methods. In a study conducted to determine the relationship between posture, pain, upper extremity functions, and anxiety levels with various parameters in musicians, the Posture Screen Mobile (PSM) application with an ICC score of 0.71-0.99 was used, while in another study investigating the effect of posture on health-related quality of life in young adults, the Reedco Posture Score with an ICC score of 0.85-0.95 was used. It is seen that New York Posture Analysis is used in studies evaluating the posture of school-age children and young adults. In a study evaluating the effect of posture correction applications on neck pain and function on smartphones, it is seen that there are applications on phones for posture correction applications. This situation shows us that with the development of technology, various phone and computer-supported applications are also used in both posture correction and evaluation. It is thought that posture disorders can cause various pathological problems in the future and cause functional limitations in the individual. With the developing technology, there are a limited number of studies on the validity and reliability of phone and computer-supported applications in every field of health. The aim of this study is to carry out the validity and reliability study of a sensorless objective application integrated with artificial intelligence used in posture evaluation with the developing technology.

Conditions

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Postural; Defect

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Study Groups

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Study Group

The population of the research consists of young adult individuals in the general Turkish population, and the research sample consists of young adult individuals in the Turkish population who volunteered to participate in the research. There is only one research group consisting of volunteer individuals.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Young adult individuals between the ages of 18-39
* Individuals who volunteer to participate in the study
* Individuals who are Turkish citizens, reside in Turkey and have been in Turkey for at least 1 month before and during the study period
* Individuals who can communicate in written and verbal Turkish

Exclusion Criteria

* Individuals with any physical or mental disability and/or cognitive impairment
* Pregnant women
* Individuals with orthopedic, neurological, vestibular diseases that may affect walking and balance functions
* Individuals with neuromuscular system diseases or diseases that will prevent postural control measurements (vertigo, neuropathy, etc.) or those using medication
Minimum Eligible Age

18 Years

Maximum Eligible Age

39 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Izmir Democracy University

OTHER

Sponsor Role lead

Responsible Party

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Özlem Çınar Özdemir

Prof.Dr

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Özlem Çinar Özdemir, Prof.Dr

Role: PRINCIPAL_INVESTIGATOR

İzmir Democracy University

Locations

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Izmir Democracy University

Izmir, Karabağlar/İzmir, Turkey (Türkiye)

Site Status RECRUITING

Countries

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Turkey (Türkiye)

Central Contacts

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özlem Çinar Özdemir, Prof.Dr

Role: CONTACT

+905326062346

Facility Contacts

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Özlem Çinar Özdemir, Prof.Dr

Role: primary

+905326062346

References

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Fortin C, Feldman DE, Cheriet F, Labelle H. Clinical methods for quantifying body segment posture: a literature review. Disabil Rehabil. 2011;33(5):367-83. doi: 10.3109/09638288.2010.492066. Epub 2010 Jun 23.

Reference Type BACKGROUND
PMID: 20568973 (View on PubMed)

Czakwari A, Czernicki K, Durmala J. Faulty posture and style of life in young adults. Stud Health Technol Inform. 2008;140:107-10.

Reference Type BACKGROUND
PMID: 18810009 (View on PubMed)

Szucs KA, Brown EVD. Rater reliability and construct validity of a mobile application for posture analysis. J Phys Ther Sci. 2018 Jan;30(1):31-36. doi: 10.1589/jpts.30.31. Epub 2018 Jan 27.

Reference Type BACKGROUND
PMID: 29410561 (View on PubMed)

Other Identifiers

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Izmir Democracy

Identifier Type: -

Identifier Source: org_study_id

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