The Validity and Inter-Rater Reliability of a Video-Based Posture-Matching Tool to Estimate Cumulative Loads on the Lower Back

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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JR_JBPE-12-4_011

تاریخ نمایه سازی: 30 دی 1402

Abstract:

Background: Low back pain (LBP) is known as one of the most common work-related musculoskeletal disorders. Spinal cumulative loads (CLs) during manual material handling (MMH) tasks are the main risk factors for LBP. However, there is no valid and reliable quantitative lifting analysis tool available for quantifying CLs among Iranian workers performing MMH tasks. Objective: This study aimed to investigate the validity and inter-rater reliability of a posture-matching load assessment tool (PLAT) for estimating the L۵-S۱ static cumulative compression (CC) and shear (CS) loads based on predictive regression equations.Material and Methods: This experimental study was conducted among six participants performing four lifting tasks, each comprised of five trials during which their posture was recorded via a motion capture (Vicon) and simultaneously a three-camera system located at three different angles (۰°, ۴۵°, and ۹۰°) to the sagittal plane. Results: There were no significant differences between the two CLs estimated by PLAT from the three-camera system and the gold-standard Vicon. In addition, ten raters estimated CLs of the tasks using PLAT in three sessions. The calculated intra-class correlation coefficients for the estimated CLs within each task revealed excellent inter-rater reliability (> ۰.۷۵), except for CS in the first and third tasks, which were good (۰.۶ to ۰.۷۵).  Conclusion: The proposed posture-matching approach provides a valid and reliable ergonomic assessment tool suitable for assessing spinal CLs during various lifting activities.

Authors

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PhD Candidate, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

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PhD, Professor, School of Occupational and Public Health, Ryerson University, Toronto, Canada

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PhD, Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran

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PhD, Department of Ergonomics, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran

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PhD, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

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