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Article

Understanding the Musculoskeletal Demand of Ride-On Mowing Using Wearable Technology

1
Curtin School of Allied Health, Curtin University, Perth, WA 6102, Australia
2
Physiotherapy and Human Movement Clinic, Melbourne, VIC 3056, Australia
3
Cardinia Shire Council, Cardinia, VIC 3810, Australia
*
Author to whom correspondence should be addressed.
Eng 2024, 5(4), 3108-3114; https://doi.org/10.3390/eng5040162
Submission received: 30 September 2024 / Revised: 13 November 2024 / Accepted: 25 November 2024 / Published: 27 November 2024
(This article belongs to the Special Issue Feature Papers in Eng 2024)

Abstract

This study aimed to quantify the postures and muscle activity while parks and gardens workers operated ride-on mowers during a typical shift. Eight participants operated ride-on mowers in the same park but on different terrains (flat and undulating). Body postures and muscle activity were collected wirelessly and unobtrusively. Participants adopted a forward-flexed seated posture with the predominant movement being head rotation. Oscillatory movements (20–40° from neutral) of the thorax in all three planes of movement were noted in all participants. Low levels (<30% MVIC) of muscle activity were recorded in all muscles tested. These levels were elicited for most (>90%) of the recording time. Higher (>50% MVIC) activation levels were interspersed through the data, but these were not sustained. There was no difference in posture or muscle activity between the flat and undulating terrain. The forward-flexed posture combined with vibration can increase the risk of discomfort and injury in the low back while ride-on mowing. The low levels of muscle activity suggest participants did not actively brace for the occupational situation and task. The large inter-participant difference in posture attests to subjective variation to accommodate muscular stress, and this may not be optimal for injury mitigation.
Keywords: musculoskeletal injury risk; occupational safety; biomechanical assessment musculoskeletal injury risk; occupational safety; biomechanical assessment

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MDPI and ACS Style

Netto, K.; Francis-Pester, G.; Benazic, P.; Edwards, P. Understanding the Musculoskeletal Demand of Ride-On Mowing Using Wearable Technology. Eng 2024, 5, 3108-3114. https://doi.org/10.3390/eng5040162

AMA Style

Netto K, Francis-Pester G, Benazic P, Edwards P. Understanding the Musculoskeletal Demand of Ride-On Mowing Using Wearable Technology. Eng. 2024; 5(4):3108-3114. https://doi.org/10.3390/eng5040162

Chicago/Turabian Style

Netto, Kevin, Garry Francis-Pester, Peter Benazic, and Peter Edwards. 2024. "Understanding the Musculoskeletal Demand of Ride-On Mowing Using Wearable Technology" Eng 5, no. 4: 3108-3114. https://doi.org/10.3390/eng5040162

APA Style

Netto, K., Francis-Pester, G., Benazic, P., & Edwards, P. (2024). Understanding the Musculoskeletal Demand of Ride-On Mowing Using Wearable Technology. Eng, 5(4), 3108-3114. https://doi.org/10.3390/eng5040162

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