Literature DB >> 26896406

The Cumulative Lifting Index (CULI) for the Revised NIOSH Lifting Equation: Quantifying Risk for Workers With Job Rotation.

Arun Garg1, Jay M Kapellusch2.   

Abstract

OBJECTIVE: The objectives were to: (a) develop a continuous frequency multiplier (FM) for the Revised NIOSH Lifting Equation (RNLE) as a function of lifting frequency and duration of a lifting task, and (b) describe the Cumulative Lifting Index (CULI), a methodology for estimating physical exposure to workers with job rotation.
BACKGROUND: The existing FM for the RNLE (FME) does not differentiate between task duration >2 hr and <8 hr, which makes quantifying physical exposure to workers with job rotation difficult and presents challenges to job designers.
METHOD: Using the existing FMs for 1, 2, and 8 hr of task durations, we developed a continuous FM (FMP) that extends to 12 hr per day. We simulated 157,500 jobs consisting of two tasks each and, using different combinations of Frequency Independent Lifting Index, lifting frequency and duration of lifting. Biomechanical stresses were estimated using the CULI, time-weighted average (TWA), and peak exposure.
RESULTS: The median difference between FME and FMP was ±1% (range: 0%-15%). Compared to CULI, TWA underestimated risk of low-back pain (LBP) for 18% to 30% of jobs, and peak exposure for an assumed 8-hr work shift overestimated risk of LBP for 20% to 25% of jobs. Peak task exposure showed 90% agreement with CULI but ignored one of two tasks.
CONCLUSION: The CULI partially addressed the underestimation of physical exposure using the TWA approach and overestimation of exposure using the peak-exposure approach. APPLICATION: The proposed FM and CULI may provide more accurate physical exposure estimates, and therefore estimated risk of LBP, for workers with job rotation.
© 2016, Human Factors and Ergonomics Society.

Entities:  

Keywords:  frequency multiplier; lifting duration; overtime; peak exposure; time-weighted average

Mesh:

Year:  2016        PMID: 26896406     DOI: 10.1177/0018720815627405

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  2 in total

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Authors:  Mitja Trkov; Duncan T Stevenson; Andrew S Merryweather
Journal:  Appl Ergon       Date:  2022-02-07       Impact factor: 3.661

2.  Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models.

Authors:  Sudha P Pandalai; Matthew W Wheeler; Ming-Lun Lu
Journal:  Saf Health Work       Date:  2016-11-09
  2 in total

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