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Posture and Pain Measurements in Post-COVID-19

Posture and Musculoskeletal System Disorders in Individuals Who Have Had COVID-19

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07005908
Enrollment
41
Registered
2025-06-05
Start date
2023-09-01
Completion date
2024-11-01
Last updated
2025-06-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COVID-19 Respiratory Infection

Keywords

pain, posture

Brief summary

In this study, it was aimed to reveal the results of posture measurement evaluated by artificial intelligence method, pain status and musculoskeletal disorders in individuals who have had COVID-19.

Detailed description

Thanks to artificial intelligence and machine learning technology, evaluations such as balance and foot pressure measurement can be made in patients today, as well as applications such as exercise and patient follow-up in rehabilitation, solutions to biomedical problems can be offered. Artificial intelligence and machine learning will continue to play an important role in education, training, patient care and research in the future. On the other hand, although various psychological and physical problems have been shown in individuals who have had COVID-19 during the prolonged COVID-19 pandemic process, musculoskeletal disorders and posture problems in these individuals remain unclear. For this reason, in this study, it was aimed to reveal the results of posture measurement evaluated by artificial intelligence method, pain status and musculoskeletal disorders in individuals who have had COVID-19.

Interventions

In this study, pain, posture and musculoskeletal disorders were evaluated in post-COVID-19 individuals. The data to be obtained from all these evaluations were collected from the individuals at one time and over a period of approximately 1 hour at the most.

Sponsors

Izmir Democracy University
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* adult individuals aged 18 and over * volunteering to participate in the study, * Individuals who can understand and answer the questionnaires * Individuals who were diagnosed with COVID-19 (individuals with a positive Polymerase Chain Reaction (PCR) test result, compatible with COVID-19 infection as a result of lung X-ray or lung tomography despite negative PCR test results) and discharged after recovery/home quarantine completed

Exclusion criteria

* Individuals with any physical or mental disability/disease and/or cognitive impairment * Individuals newly diagnosed with COVID-19, therefore in quarantine at home or receiving treatment in hospital * Individuals with suspected COVID-19 * Pregnant women

Design outcomes

Primary

MeasureTime frameDescription
Pain Intensitythrough study completion, an average of 1 yearPain intensity were measured with the Numerical Rating Scale. This scale expresses the severity of pain with integers from 0 (no pain) to 10 (the worst possible pain).

Secondary

MeasureTime frameDescription
Posture assessmentthrough study completion, an average of 1 yearPosture deviation were determined according to the deviation score in the joint centers obtained by photographing the posture of the individuals and uploading them to the system. Posture assessment were made with a mobile application based on the concept of postural analysis with artificial intelligence.
Score of musculoskeletal disordersthrough study completion, an average of 1 yearThe score of musculoskeletal disorders were evaluated using Cornell Musculoskeletal Disorders Questionnaire.A minimum of 0 and a maximum of 90 points are obtained from the scale for each body area. The total score is obtained by adding the scores for each body area. A high total score indicates that the discomfort in the musculoskeletal system is high.

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026