Article Text

PDF
P128 Whole-body vibration among mining heavy-vehicle operators is associated with back pain-related absenteeism
  1. Lope H Barrero1,
  2. Manuel Cifuentes2,
  3. Carmilo Rodríguez1,
  4. Estefany Rey1,
  5. Peter W Johnson3,
  6. Luz Marín Ramírez4,
  7. Jack Dennerlein2
  1. 1Department of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia
  2. 2University of Massachusetts Lowell, Lowell, USA
  3. 3Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
  4. 4Department of Physical Therapy, Movement and Rehabilitation Sciences, Bouvé College of Health Science, Northeastern University, Boston, USA

Abstract

Background Whole body vibration (WBV) has been related to back pain in professional vehicle operators; however, more evidence is needed to better establish the direct link between WBV exposure and back pain-related absenteeism.

Aim We tested the association between WBV exposure and absenteeism in a population of mining heavy equipment vehicle (HEV) operators who used an array of different HEVs using several vibration exposure estimates.

Methods The database analysed here included 3 years of absenteeism and vehicle operation logs for 2286 HEV operators. Workers’ exposures per month were estimated from each worker’s vehicle operation log and computing a time-weighted average of A(8), VDV(8) and Sed(8) vibration metrics from WBV directly measured on 11 different types of HEVs in the fleet. These three metrics captured average, shock and static compressive dose of the spine, respectively. Box-Cox regression models tested associations between the different vibration exposure estimates to time-to-absenteeism related to ICD-10 codes 50, 51 and 54, while adjusting for age, seniority, Body Mass Index and exposure duration.

Results WBV was positively and significantly associated to absenteeism; however, those associations exist only when exposure duration is included in the models, which is itself not statistically significant in the models. Hazard ratios varied greatly depending on the used exposure metrics (1.02 to 300,000). Generally, exposures based on the A(8) metric, for the Z axis showed larger associations than the other parameters and exposure axes. Also, statistical models using time-varying exposures resulted in larger associations than models using cumulative metrics of exposure estimated to the time of absenteeism or to censoring.

Discussion WBV may be a determinant of back pain-related absenteeism and this undesirable effect is likely to occur after a few years of exposure. The evidence suggests that controls aiming at reducing WBV exposure would help directly reducing absenteeism in industry.

Statistics from Altmetric.com

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.