An empirical study of exposure to human vibration and its association with physical performance among mining truck drivers

نویسندگان

  • Aliabadi, Mohsen Associated Professorو Department of Occupational health engineering, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
  • Darvishi, Ebrahim Assistant Professor, Department of Occupational health engineering, Kurdistan University of Medical Sciences, Hamadan, Iran
  • Farhadian, Maryam Associate Professor, Department of Biostatistics, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
  • Mahdavi, Neda Assistant Professo, Department of Ergonomics, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
  • Rahmani, Ramin MSc, Department of Occupational health engineering, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
  • Shafiee Motlagh, Masoud Assistant Professor, Department of Occupational health engineering, School of Public health, Hamadan University of Medical Sciences, Hamadan, Iran
چکیده مقاله:

Background: Exposure to vibration is one of the occupational agents that causes a variety of health effects. The aim of this study was to determine the association between exposure to human vibration and the physical performance of mining drivers. Methods: In the present study, 65 drivers working in one of the Iron Ore mines, were asked to complete the standard questionnaire for assessing the level of disability of the arm, shoulder and hand (DASH). Exposure to human vibration was measured using Svantek 106 vibrometer. Drivers' physical performance was assessed based on grip strength, Pegboard dexterity, and monofilament finger sensory tests. Data were analyzed using SPSS 21 software. Results: The average vibration acceleration whole body (WBV) and hand-arm (HAV) were 1.00±0.23 and 2.46±0.68 m/s2 respectively. There was a significant relationship between exposure to HAV and grip strength and hand dexterity (p <0.05). According to the DASH score, 56.9% of drivers had mild and 43.1% had moderate upper limb disability. The results of the multiple regression model with a coefficient of determination of 0.207 showed that the WBV in the presence of other predictor variables had a significant effect on DASH score (p<0.05). Conclusion: In mining truck drivers, WBV exposure was higher and HAV exposure was lower than the national exposure limits. The results confirmed that WBV caused by mining trucks is the most important risk factor affecting the level of drivers' disability.

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عنوان ژورنال

دوره 9  شماره 3

صفحات  0- 0

تاریخ انتشار 2022-01

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