Format

Send to

Choose Destination
See comment in PubMed Commons below
Occup Environ Med. 2009 Sep;66(9):619-27. doi: 10.1136/oem.2008.040329. Epub 2009 Apr 20.

Occupational exposure of UK adults to extremely low frequency magnetic fields.

Author information

  • 1Radiation Protection Division, Centre for Radiation, Chemical and Environmental Hazards, Health Protection Agency, Chilton, Didcot, UK. Terry.Mee@hpa.org.uk

Abstract

BACKGROUND:

Occupational exposure to extremely low frequency (ELF) magnetic fields (MF) in the UK general population is poorly documented.

AIMS:

To assess levels of occupational exposure to ELF MF in the UK and evaluate the use of a rigid job-exposure matrix (JEM) to assign exposures to subjects in the UK Adult Brain Tumour Study (UKABTS).

METHODS:

Personal ELF MF measurements were carried out. Exposure traces were divided into occupational, travel and elsewhere periods, under differing exposure metrics. Exposure was classified by Standard Occupational Classification (2000), Standard Industrial Classification (1997), and a combined occupation-industry classification. Statistical analyses (mixed effects model) determined the contribution of occupational exposure to the 24 h cumulative exposure and the contribution of occupation and industry to total variance.

RESULTS:

Data were obtained from 317 individuals, comprising UKABTS subjects (n = 192), occupational proxies for UKABTS subjects (n = 101) and "interest" readings (n = 24). 236 individuals provided occupational data covering 117 different occupations. Average exposure was significantly higher at work than at home. Elevated average occupational exposure was found for welding trades, printers, telephonists and filing and other records assistants. The discrimination of a rigid JEM based on occupation can be improved by linking the classification with industry and by the use of contextual information.

CONCLUSIONS:

This report substantially expands information on adult exposure to ELF MF in the UK. The accuracy of exposure assessments based solely on job codes is improved by linking with either industry code or contextual knowledge of equipment and of power lines or substations in the work environment.

PMID:
19383596
DOI:
10.1136/oem.2008.040329
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire
    Loading ...
    Support Center