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Versatility of Protocols for Resistance Training and Assessment Using Static and Dynamic Ladders in Animal Models

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Modeling of maximum endurance time for static pulling tasks.

Cannan Yi¹, Fan Tang¹, Lu Peng¹

¹School of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang, Hunan Province, PRC.

Work (Reading, Mass.)

|July 25, 2018

Summary

This summary is machine-generated.

Manual materials handling, like pallet truck pulling, can cause injuries. This study measured muscular fatigue and developed models to predict maximum endurance time for these tasks, identifying hand/wrist and elbow as key areas of concern.

Keywords:

Musculoskeletal disorder job design manual materials handling muscular fatigue

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Area of Science:

Ergonomics
Occupational Health
Biomechanics

Background:

Pallet truck pulling is a frequent manual materials handling task.
This task poses a risk of musculoskeletal injuries.
Limited research exists on endurance time for sustained truck pulling.

Purpose of the Study:

To quantify muscular fatigue following a simulated pallet truck pulling task.
To develop predictive models for maximum endurance time in truck pulling.

Main Methods:

A simulated pallet truck pulling experiment was conducted.
Ten participants performed the pulling task under two different loading conditions.
Participants continued pulling until exhaustion.

Main Results:

Hand/wrist and elbow reported the highest subjective muscular fatigue.
Most trials showed significant fatigue (rating ≥ 5) in at least two body segments.
Exponential and power models were developed to predict maximum endurance time.

Conclusions:

The hand/wrist and elbow are most susceptible to muscular fatigue during simulated truck pulling.
The established endurance time models can inform job design for one-handed truck pulling tasks.