Muscle fatigue refers to the transient decrease in the capacity to perform physical actions and can cause productivity loss, human errors, unsafe actions, injuries and work-related musculoskeletal disorders (WMSDs). A total of 13 participants repetitively lifted a 2.5 kg load at a total elevation of 0.5 m, until voluntary exhaustion or intensive pain. Several indicators of muscle fatigue were found, including increased forward bending, micro-expressions, changing load support strategy, holding load closer to the chest during elevation and increase in eccentric movement speed. Volunteers that practiced sports regularly lasted longer in the experiment and it was found that smoking and sedentarism limited the exercise capacity of some subjects. Volunteers increased the wrists and elbows velocity during the experiment. It was verified that half of the volunteers had less fluid movement during lifting, with higher acceleration values in some parts and lower values in others, translating into more impulsive movements. It was concluded that to compensate muscle fatigue, people adapt their working strategy, changing movement patterns, recruiting different muscles and changing kinetic or kinematic components of the movement (like joint angles and velocities).
Children are amongst the most vulnerable affected groups by natural and human-made disasters. Disaster preparedness education programs have been developed to help reduce risk and increase resilience for hazardous events. A better understanding is needed about children evacuation behaviour in schools and the time of evacuation. Therefore, a systematic review is proposed to search for relevant information about emergency evacuation response in schools. This systematic review protocol was developed to present adequate guidelines that can provide relevant research results to fulfil the sought objective. Sixteen databases will be accessed (Scopus, Web of Science, and ScienceDirect, are some examples) and a total of three keyword expressions will be used. The selection process will be thoroughly described, including detailed data treatment and used eligibility criteria, to contribute to the general research on this field.
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