Literature DB >> 8256689

Variation of exposure between workers in homogeneous exposure groups.

S M Rappaport1, H Kromhout, E Symanski.   

Abstract

It is generally assumed that workers employed in the same job at a given location are uniformly exposed, i.e., that they have the same long-term mean exposure. This assumption has led to observational schemes for classifying workers into homogeneous exposure groups (HEGs), based on job title, location, and other identifiable features of the work environment. This paper presents results from analysis of 183 HEGs (comprised of 15,495 personal measurements) in which it was possible to determine the between-worker component of variance in exposure. The results indicate that, contrary to popular belief, only about one fifth of the HEGs were uniformly exposed (less than a two-fold difference among 95% of individual mean exposures) while an equal number showed a high degree of variation between workers (more than 15-fold differences among 95% of individuals). Further analyses indicate that the identifiable features of the work environment, which are typically used to establish HEGs, are only marginally related to the between-person variation (accounting for only 13% of this variance component). It is concluded that industrial hygienists should not rely on observational schemes to guarantee that groups of workers are uniformly exposed. Rather, they should adopt methods of statistical sampling and analysis that allow the variance components to be estimated so that decisions regarding the evaluation of hazard and selection of controls will be appropriate.

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Year:  1993        PMID: 8256689     DOI: 10.1080/15298669391355198

Source DB:  PubMed          Journal:  Am Ind Hyg Assoc J        ISSN: 0002-8894


  16 in total

1.  Assessment of occupational exposures in a general population: comparison of different methods.

Authors:  E Tielemans; D Heederik; A Burdorf; R Vermeulen; H Veulemans; H Kromhout; K Hartog
Journal:  Occup Environ Med       Date:  1999-03       Impact factor: 4.402

2.  Task based exposure assessment in ergonomic epidemiology: a study of upper arm elevation in the jobs of machinists, car mechanics, and house painters.

Authors:  S W Svendsen; S E Mathiassen; J P Bonde
Journal:  Occup Environ Med       Date:  2005-01       Impact factor: 4.402

3.  Historical limitations of determinant based exposure groupings in the rubber manufacturing industry.

Authors:  R Vermeulen; H Kromhout
Journal:  Occup Environ Med       Date:  2005-11       Impact factor: 4.402

4.  Evaluation and comparison of three exposure assessment techniques.

Authors:  R L Neitzel; W E Daniell; L Sheppard; H W Davies; N S Seixas
Journal:  J Occup Environ Hyg       Date:  2011-05       Impact factor: 2.155

5.  Can we explain the exposure variability found in hand-arm vibrations when using angle grinders? A round robin laboratory study.

Authors:  I Liljelind; J Wahlström; L Nilsson; M Persson; T Nilsson
Journal:  Int Arch Occup Environ Health       Date:  2009-12-05       Impact factor: 3.015

6.  Longitudinal assessment of noise exposure in a cohort of construction workers.

Authors:  Richard L Neitzel; Bert Stover; Noah S Seixas
Journal:  Ann Occup Hyg       Date:  2011-08-08

7.  Investigation of lead concentrations in whole blood, plasma and urine as biomarkers for biological monitoring of lead exposure.

Authors:  Johan Nilsson Sommar; Maria Hedmer; Thomas Lundh; Leif Nilsson; Staffan Skerfving; Ingvar A Bergdahl
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-02-27       Impact factor: 5.563

8.  What can 35 years and over 700,000 measurements tell us about noise exposure in the mining industry?

Authors:  Benjamin Roberts; Kan Sun; Richard L Neitzel
Journal:  Int J Audiol       Date:  2016-11-22       Impact factor: 2.117

9.  Meta-analysis of job-exposure matrix data from multiple sources.

Authors:  Wenting Cheng; Benjamin Roberts; Bhramar Mukherjee; Richard L Neitzel
Journal:  J Expo Sci Environ Epidemiol       Date:  2017-10-04       Impact factor: 5.563

10.  Exposure assessment in industry specific retrospective occupational epidemiology studies.

Authors:  N S Seixas; H Checkoway
Journal:  Occup Environ Med       Date:  1995-10       Impact factor: 4.402

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