Literature DB >> 20446152

A comparison of assessment methods of hand activity and force for use in calculating the ACGIH(R) hand activity level (HAL) TLV(R).

Steve Wurzelbacher1, Susan Burt, Ken Crombie, Jessica Ramsey, Lian Luo, Steve Allee, Yan Jin.   

Abstract

This article compares several methods that were used for determining hand activity level and force in a large prospective ergonomics study. The first goal of this analysis was to determine the degree of correlation between hand activity/ force ratings using different assessment methods. The second goal was to determine if the hand activity/force methods were functionally equivalent for the purpose of calculating the ACGIH(R) hand activity level (HAL) threshold limit value (TLV(R)). A final goal was to investigate reasons for potential differences between methods. More than 700 task analyses were conducted on 484 workers at three study locations. Hand activity was assessed by two methods, including a trained observer on site using a 10-point visual analog scale for hand activity level and by offsite video analysis of the same task to calculate the frequency of exertions and the work/recovery ratio. Hand force was assessed by two on-site methods: ratings of perceived exertion (RPE) using a modified Borg CR-10 scale by a trained observer and RPE by the worker performing the task. The two methods for assessing hand activity level were correlated (Spearman rank = 0.49) and produced main TLV result categories (below Action Limit, Action Limit, TLV) with percent of exact agreement ranging from 71 to 91% and weighted Kappa ranging from 0.61 to 0.75. The two RPE methods for assessing hand force were correlated (Spearman rank ranging from 0.47 to 0.69) and produced TLVs with percent of exact agreement ranging from 64 to 83% and weighted Kappa ranging from 0.52 to 0.62. Differences between methods may be explained by a number of task and subject variables that were significantly associated with higher levels of hand activity and force. In summary, this study found substantial agreement between two methods for assessing hand activity level and moderate agreement between two methods for assessing hand force.

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Year:  2010        PMID: 20446152     DOI: 10.1080/15459624.2010.481171

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  9 in total

1.  The accuracy of conventional 2D video for quantifying upper limb kinematics in repetitive motion occupational tasks.

Authors:  Chia-Hsiung Chen; David P Azari; Yu Hen Hu; Mary J Lindstrom; Darryl Thelen; Thomas Y Yen; Robert G Radwin
Journal:  Ergonomics       Date:  2015-06-18       Impact factor: 2.778

2.  A frequency-duty cycle equation for the ACGIH hand activity level.

Authors:  Robert G Radwin; David P Azari; Mary J Lindstrom; Sheryl S Ulin; Thomas J Armstrong; David Rempel
Journal:  Ergonomics       Date:  2014-10-24       Impact factor: 2.778

3.  A hand speed-duty cycle equation for estimating the ACGIH hand activity level rating.

Authors:  Oguz Akkas; David P Azari; Chia-Hsiung Eric Chen; Yu Hen Hu; Sheryl S Ulin; Thomas J Armstrong; David Rempel; Robert G Radwin
Journal:  Ergonomics       Date:  2014-10-24       Impact factor: 2.778

4.  A prospective study of carpal tunnel syndrome: workplace and individual risk factors.

Authors:  Susan Burt; James A Deddens; Ken Crombie; Yan Jin; Steve Wurzelbacher; Jessica Ramsey
Journal:  Occup Environ Med       Date:  2013-06-20       Impact factor: 4.402

5.  Inter-rater reliability of cyclic and non-cyclic task assessment using the hand activity level in appliance manufacturing.

Authors:  Robert Paulsen; Natalie Schwatka; Jennifer Gober; David Gilkey; Dan Anton; Fred Gerr; John Rosecrance
Journal:  Int J Ind Ergon       Date:  2014-01       Impact factor: 2.656

6.  Time-motion analysis as a novel approach for evaluating the impact of environmental heat exposure on labor loss in agriculture workers.

Authors:  Leonidas G Ioannou; Lydia Tsoutsoubi; George Samoutis; Lucka Kajfez Bogataj; Glen P Kenny; Lars Nybo; Tord Kjellstrom; Andreas D Flouris
Journal:  Temperature (Austin)       Date:  2017-07-12

7.  Less Complexity in Hemodialysis Machines Reduces Time and Physical Load for Operator Actions.

Authors:  Uwe Gründler; Eva Ekesbo; Martin Löwe; Adelheid Gauly
Journal:  Med Devices (Auckl)       Date:  2021-11-17

8.  Pooling job physical exposure data from multiple independent studies in a consortium study of carpal tunnel syndrome.

Authors:  Jay M Kapellusch; Arun Garg; Stephen S Bao; Barbara A Silverstein; Susan E Burt; Ann Marie Dale; Bradley A Evanoff; Frederic E Gerr; Carisa Harris-Adamson; Kurt T Hegmann; Linda A Merlino; David M Rempel
Journal:  Ergonomics       Date:  2013-05-22       Impact factor: 2.778

9.  Work-Related Risk Factors for Rotator Cuff Syndrome in a Prospective Study of Manufacturing and Healthcare Workers.

Authors:  Alysha R Meyers; Steven J Wurzelbacher; Edward F Krieg; Jessica G Ramsey; Kenneth Crombie; Annette L Christianson; Lian Luo; Susan Burt
Journal:  Hum Factors       Date:  2021-06-20       Impact factor: 2.888

  9 in total

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