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Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models
Ben Beck1,2, Daniel J Ham1, Stuart A Best1
1Land Division, Defence Science and Technology Group, Fishermans Bend, Australia.
Plos One
|July 6, 2016
Summary
Endurance time in repetitive manual handling tasks decreases with increased carry mass. Normalizing load to maximal lifting capacity improves endurance prediction, offering guidance for work-rest schedules and physical capacity assessments.
Area of Science:
- Occupational Health
- Ergonomics
- Human Physiology
Background:
- Repetitive manual handling tasks contribute significantly to workplace injuries.
- Limited data exists on endurance time for these tasks, hindering the development of safe work guidelines.
Purpose of the Study:
- To investigate the relationship between carry mass and endurance time in a repetitive lift and carry task.
- To assess oxygen consumption during repetitive lifting and carrying.
- To provide data for informing work-rest schedules and physical capacity assessments.
Main Methods:
- Fourteen male soldiers performed maximal box lifting and repetitive lift and carry tasks with varying loads (17.5-37.5 kg).
- Linear mixed models were used to analyze the relationships between carry mass, endurance duration, and oxygen consumption.
- Individual variations in endurance were accounted for using random effects.
Main Results:
- Endurance time was inversely related to carry mass (R²=0.24), with substantial individual differences (R²=0.85).
- Normalizing carry mass to maximal lifting performance enhanced endurance time prediction (R²=0.40).
- Oxygen consumption, relative to total mass, did not significantly correlate with lift and carry mass.
Conclusions:
- Findings provide practical data for establishing work-rest schedules in repetitive manual handling.
- The study offers insights into methods for assessing the physical capacity of workers in manual handling roles.

