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Repeatability and Reproducibility of Postural Variables by Photogrammetry.

Cláudia Tarragô Candotti1, Grazielle Martins Gelain1, Arthur Antoniolli1

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Photogrammetric postural analysis is reliable for clinical and research use. A single image accurately represents static posture, showing high repeatability and reproducibility across different times and days.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Imaging Technology

Background:

  • Accurate postural assessment is crucial for evaluating musculoskeletal health and the efficacy of interventions.
  • Photogrammetry offers a non-invasive method for quantifying postural alignment.
  • Understanding the reliability of photogrammetric measurements is essential for its clinical and research application.

Purpose of the Study:

  • To assess the reliability of postural variables derived from photogrammetry.
  • To determine measurement consistency within the same day (repeatability) and between different days (reproducibility).
  • To establish the validity of using single static images for postural evaluation.

Main Methods:

  • 24 healthy adults underwent photogrammetric postural assessment.
  • Seven photographs were extracted from a 35-second video recording at 5-second intervals.
  • Statistical analysis included repeated-measures ANOVA, Intraclass Correlation Coefficient (ICC), Standard Error of Measurement (SEM), and Minimal Detectable Change (MDC).

Main Results:

  • High repeatability was observed, with no significant differences among the 7 instances and excellent ICCs for all variables.
  • SEM and MDC values indicated measurement errors below 5% for repeatability.
  • Good intrarater reproducibility was found between two evaluation days, with most variables showing excellent ICCs and SEM/MDC values between 0.9% and 12.5%.

Conclusions:

  • Photogrammetric analysis of static posture demonstrates excellent reliability and reproducibility.
  • A single photograph is sufficient to represent an individual's static posture for evaluation.
  • This method is reliable and useful for assessing intervention effects in clinical practice and research.