Evidence map›Paper›PMID 31702767›Full record

ArticleAnnals of work exposures and health2019

Development of a Job-Exposure Matrix for Assessment of Occupational Exposure to High-Frequency Electromagnetic Fields (3 kHz-300 GHz).

Lucile Migault, Joseph D Bowman, Hans Kromhout, Jordi Figuerola, Isabelle Baldi, Ghislaine Bouvier, Michelle C Turner, Elisabeth Cardis, Javier Vila

Abstract read
In one paragraph

Article in Annals of work exposures and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lucile MigaultUniversity of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, Bordeaux, France.
Joseph D Bowman
Hans KromhoutEnvironmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, Nieuw Gildestein Yalelaan, Utrecht, The Netherlands.
Jordi FiguerolaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Isabelle BaldiUniversity of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, Bordeaux, France.
Ghislaine BouvierUniversity of Bordeaux, Inserm UMR 1219 EPICENE Team, Bordeaux Population Health Research Center, Bordeaux, France.
Michelle C TurnerBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Elisabeth CardisBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Javier VilaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.

Funding

Occupational exposures and brain cancerR01CA124759 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI CARDIS, ELISABETH · 2007 to 2010
$1.5M
CIHRNCI NIH HHS R01 CA124759
6 · The paper itself

Abstract

objectivesThe aim of this work was to build a job-exposure matrix (JEM) using an international coding system and covering the non-thermal intermediate frequency (IF) (3-100 kHz, named IFELF), thermal IF (100 kHz-10 MHz, named IFRF), and radiofrequency (RF) (>10 MHz) bands.

methodsDetailed occupational data were collected in a large population-based case-control study, INTEROCC, with occupations coded into the International Standard Classification of Occupations system 1988 (ISCO88). The subjects' occupational source-based ancillary information was combined with an existing source-exposure matrix and the reference levels of the International Commission on Non-Ionizing Radiation Protection (ICNIRP) for occupational exposure to calculate estimates of level (L) of exposure to electric (E) and magnetic (H) fields by ISCO88 code and frequency band as ICNIRP ratios (IFELF) or squared ratios (IFRF and RF). Estimates of exposure probability (P) were obtained by dividing the number of exposed subjects by the total number of subjects available per job title.

resultsWith 36 011 job histories collected, 468 ISCO88 (four-digit) codes were included in the JEM, of which 62.4% are exposed to RF, IFRF, and/or IFELF. As a reference, P values for RF E-fields ranged from 0.3 to 65.0% with a median of 5.1%. L values for RF E-fields (ICNIRP squared ratio) ranged from 6.94 × 10-11 to 33.97 with a median of 0.61.

conclusionsThe methodology used allowed the development of a JEM for high-frequency electromagnetic fields containing exposure estimates for the largest number of occupations to date. Although the validity of this JEM is limited by the small number of available observations for some codes, this JEM may be useful for epidemiological studies and occupational health management programs assessing high-frequency electromagnetic field exposure in occupational settings.

Indexed as

AdultCase-Control StudiesElectromagnetic FieldsHumansOccupational ExposureOccupationsRadio WavesRisk Assessmentexposure estimatesIFintermediate frequenciesJEMradiofrequenciesRFworkers

Identifiers

PMID31702767
PMCPMC6853656

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.