Evidence map›Paper›PMID 33654268›Full record

ArticleJournal of exposure science & environmental epidemiology2021

Radio-frequency electromagnetic field exposure and contribution of sources in the general population: an organ-specific integrative exposure assessment.

Luuk van Wel, Ilaria Liorni, Anke Huss, Arno Thielens, Joe Wiart, Wout Joseph, Martin Röösli, Milena Foerster, Amelie Massardier-Pilonchery, Myles Capstick and 2 more

Abstract read
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In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2021. 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. Three Quarters of a Century of Research on RF Exposure Assessment and Dosimetry-What Have We Learned?International journal of environmental research and public health · 2022
    Review
  5. Article
  6. Article
  7. Review
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

12 authors.

Luuk van WelInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands.ORCID 0000-0002-0520-8885
Ilaria LiorniFoundation for Research on Information Technologies in Society (IT'IS Foundation), Zeughausstrasse, 43, 8004, Zurich, Switzerland.
Anke HussInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands.
Arno ThielensDepartment of Information Technology, Ghent University, IMEC, Waves Research Group, Ghent, 9052, Belgium.
Joe WiartChair C2M, LTCI Télecom Paris, Institut polytechnique de Paris, Paris, France.
Wout JosephDepartment of Information Technology, Ghent University, IMEC, Waves Research Group, Ghent, 9052, Belgium.
Martin RöösliSwiss Tropical and Public Health Institute, Basel, 4051, Switzerland.
Milena FoersterSwiss Tropical and Public Health Institute, Basel, 4051, Switzerland.
Amelie Massardier-PiloncheryUniversité de Lyon, Université Claude Bernard Lyon, Ifsttar, UMRESTTE, UMR T_9405, 8 Avenue Rockefeller, 69373, Lyon, France.
Myles CapstickFoundation for Research on Information Technologies in Society (IT'IS Foundation), Zeughausstrasse, 43, 8004, Zurich, Switzerland.
Elisabeth CardisBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Roel VermeulenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands. R.C.H.Vermeulen@uu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to achieve an integrated radio-frequency electromagnetic fields (RF-EMF) dose assessment, detailed information about source-specific exposure duration and output power is needed. We developed an Integrated Exposure Model (IEM) to combine energy absorbed due to use of and exposure to RF-EMF sources and applied it to a sample of the general population to derive population RF-EMF estimates. The IEM used specific absorption rate transfer algorithms to provide RF-EMF daily dose estimates (mJ/kg/day) using source-specific attributes (e.g. output power, distance), personal characteristics and usage patterns. Information was obtained from an international survey performed in four European countries with 1755 participants. We obtained median whole-body and whole-brain doses of 183.7 and 204.4 mJ/kg/day. Main contributors to whole-brain dose were mobile phone near the head for calling (2G networks) and far-field sources, whereas the latter together with multiple other RF-EMF sources were main contributors for whole-body dose. For other anatomical sites, 2G phone calls, mobile data and far-field exposure were important contributors. The IEM provides insight into main contributors to total RF-EMF dose and, applied to an international survey, provides an estimate of population RF-dose. The IEM can be used in future epidemiological studies, risk assessments and exposure reduction strategies.

Indexed as

Cell PhoneElectromagnetic FieldsBrainEnvironmental ExposureHumansRadio WavesDose estimationMobile communication devicesModellingRF-EMF

Identifiers

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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.