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A correlation between whole body vibration and low back pain on lorry drivers

Mohd Noor, Ahmad Fuad (2017) A correlation between whole body vibration and low back pain on lorry drivers. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

High daily exposure of Whole body vibration (WBV) increases Low back pain (LBP) which identified as the cause of early permanent disability (PT). In Malaysia, accidents on vertebral column cases are reported to have increased since 2009 with 5 cases to 2014 with 13 cases. Due to companies' confidentiality and high risk industry reinforce the importance of this research. Thus, a prediction model based on WBV towards LBP was developed using vibration and statistical analysis. The 34 drivers with two (2) types of lorry, HINO and FUSO at off-road and 32 drivers with four (4) types of lorry, NISSAN, HINO, FUSO and ISUZU at on-road were involved. The drivers were able to travel at 20 km/h due to poorly maintained off-road roadway. Besides, at on-road roadway, drivers were able to travel at speed of 110 km/h on good surface. The vibration results found that, higher value of static compression dose (Sed) was captured by HINO (1.619 MPa) then FUSO (1.462 MPa) drivers. At the on-road, the higher value of Sed was captured by drivers of NISSAN (1.13 MPa), FUSO (1.06 MPa), HINO (1.00 MPa) and ISUZU (0.86 MPa). According to ISO 2631-5 (2004), drivers was already adverse LBP. Travelling at high speed along irregularities at the roadway without any good vibration insulation seat also has strong relationship towards LBP. Statistical results proved that, all drivers have suffered LBP at off-road; correlation coefficient, r is 0.0774, number of sample, N is 34, significant value, p is 0.001 and at on-road r of 0.536, N of 32, p of 0.001 with long-term effect of year's exposure at off-road r of 0.425, N of 34, p of 0.001 and at on-road r of 0.542, N of 32, p of 0.001. As a result, predicted R factor= (0.055) years exposure + 0.638 was developed with 3.1 x 10^-2 of Mean square error (MSE). This prediction model can be used to identify the WBV exposure level assessment in an easy and efficient way.

Item Type: Thesis (Masters)
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 02 May 2018 08:55
Last Modified: 02 May 2018 08:55
URI: http://eprints.uthm.edu.my/id/eprint/9985
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