Body Posture, Postural Alignment, Postural Assessment
Conditions
Brief summary
Posture assessment is widely used in sports medicine, physiotherapy, and rehabilitation to identify body alignment problems and support clinical decision-making. Mobile applications have become increasingly popular because they are fast, inexpensive, and easy to use. However, these applications must be shown to provide accurate and reliable measurements before they can be recommended for clinical or sports use. The purpose of this observational study is to evaluate the validity and reliability of the DeepClinic mobile application for posture assessment in physically active adults. Approximately 50 participants will undergo standardized posture photography from the front, back, and side views. The images will be analyzed using both the DeepClinic application and the validated APECS posture analysis system. The agreement between the two systems will be examined to determine validity. To evaluate test-retest reliability, posture assessments will be repeated after one week under the same standardized conditions. No treatment or intervention will be provided as part of this study. The findings are expected to provide scientific evidence regarding the accuracy and reliability of the DeepClinic application and its potential use as a practical posture assessment tool in clinical practice, sports science, and rehabilitation.
Interventions
DIAGNOSTIC_TESTDeepClinic Posture Assessment
Participants underwent standardized posture photography in anterior, posterior, and lateral views. Images were analyzed using the DeepClinic mobile application and compared with the validated APECS posture analysis system to evaluate validity. The same assessment protocol was repeated one week later to determine test-retest reliability.
DIAGNOSTIC_TESTAPECS Posture Analysis System
The APECS posture analysis system served as the reference method for comparison with the DeepClinic application in assessing postural alignment.
Sponsors
Istanbul Gelisim University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 45 Years
Healthy volunteers
Yes
Inclusion criteria
* Adults aged 18-45 years. * Regular participation in sports or physical activity (minimum 3 sessions per week). * Able to stand independently during posture assessment. * Willing and able to provide written informed consent. * Able to complete both baseline and one-week follow-up posture assessments.
Exclusion criteria
* Current musculoskeletal injury or pain affecting standing posture. * History of spinal, lower extremity, or neurological disorders that may influence postural alignment. * Previous spinal or lower extremity surgery within the past 12 months. * Pregnancy. * Inability to complete the posture assessment protocol or poor-quality photographs unsuitable for analysis.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Validity of the DeepClinic Mobile Application for Postural Assessment | Baseline (Day 1) | Agreement between postural measurements obtained using the DeepClinic mobile application and the validated APECS posture analysis system. Validity will be evaluated using correlation and agreement analyses for postural alignment parameters. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Test-Retest Reliability of the DeepClinic Mobile Application | Baseline and 1 Week | Reliability of postural measurements obtained with the DeepClinic mobile application by repeating standardized posture assessments after one week. Test-retest reliability will be evaluated using intraclass correlation coefficients (ICC) and measurement error statistics. |
| Agreement Between DeepClinic and APECS Postural Measurements | Baseline (Day 1) | Comparison of individual postural alignment variables measured by the DeepClinic application and the APECS posture analysis system to determine measurement agreement. |
Countries
Turkey (Türkiye)
Outcome results
None listed