Personal radio use and cancer risks among 48,518 British police officers and staff from the Airwave Health Monitoring Study.


Journal

British journal of cancer
ISSN: 1532-1827
Titre abrégé: Br J Cancer
Pays: England
ID NLM: 0370635

Informations de publication

Date de publication:
02 2019
Historique:
received: 11 03 2018
accepted: 30 11 2018
revised: 30 11 2018
pubmed: 27 12 2018
medline: 13 11 2019
entrez: 27 12 2018
Statut: ppublish

Résumé

Radiofrequency electromagnetic fields (RF-EMF) from mobile phones have been classified as potentially carcinogenic. No study has investigated use of Terrestrial Trunked Radio (TETRA), a source of RF-EMF with wide occupational use, and cancer risks. We investigated association of monthly personal radio use and risk of cancer using Cox proportional hazards regression among 48,518 police officers and staff of the Airwave Health Monitoring Study in Great Britain. During median follow-up of 5.9 years, 716 incident cancer cases were identified. Among users, the median of the average monthly duration of use in the year prior to enrolment was 30.5  min (inter-quartile range 8.1, 68.1). Overall, there was no association between personal radio use and risk of all cancers (hazard ratio [HR] = 0.98, 95% confidence interval [CI]: 0.93, 1.03). For head and neck cancers HR = 0.72 (95% CI: 0.30, 1.70) among personal radio users vs non-users, and among users it was 1.06 (95% CI: 0.91, 1.23) per doubling of minutes of personal radio use. With the limited follow-up to date, we found no evidence of association of personal radio use with cancer risk. Continued follow-up of the cohort is warranted.

Sections du résumé

BACKGROUND
Radiofrequency electromagnetic fields (RF-EMF) from mobile phones have been classified as potentially carcinogenic. No study has investigated use of Terrestrial Trunked Radio (TETRA), a source of RF-EMF with wide occupational use, and cancer risks.
METHODS
We investigated association of monthly personal radio use and risk of cancer using Cox proportional hazards regression among 48,518 police officers and staff of the Airwave Health Monitoring Study in Great Britain.
RESULTS
During median follow-up of 5.9 years, 716 incident cancer cases were identified. Among users, the median of the average monthly duration of use in the year prior to enrolment was 30.5  min (inter-quartile range 8.1, 68.1). Overall, there was no association between personal radio use and risk of all cancers (hazard ratio [HR] = 0.98, 95% confidence interval [CI]: 0.93, 1.03). For head and neck cancers HR = 0.72 (95% CI: 0.30, 1.70) among personal radio users vs non-users, and among users it was 1.06 (95% CI: 0.91, 1.23) per doubling of minutes of personal radio use.
CONCLUSIONS
With the limited follow-up to date, we found no evidence of association of personal radio use with cancer risk. Continued follow-up of the cohort is warranted.

Identifiants

pubmed: 30585256
doi: 10.1038/s41416-018-0365-6
pii: 10.1038/s41416-018-0365-6
pmc: PMC6354010
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

375-378

Subventions

Organisme : Cancer Research UK
ID : 24390
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L01341X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L01632X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R023484/1
Pays : United Kingdom

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Auteurs

He Gao (H)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Maria Aresu (M)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Anne-Claire Vergnaud (AC)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Dennis McRobie (D)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Jeanette Spear (J)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Andy Heard (A)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Håvard Wahl Kongsgård (HW)

Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Deepa Singh (D)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

David C Muller (DC)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Paul Elliott (P)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. p.elliott@imperial.ac.uk.
MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. p.elliott@imperial.ac.uk.
NIHR Health Protection Research Unit in Health Effects of Environmental Hazards, Imperial College London, London, UK. p.elliott@imperial.ac.uk.
UK Dementia Research Institute (DRI) at Imperial College, Imperial College London, London, UK. p.elliott@imperial.ac.uk.
Health Data Research-UK (HDR) London Centre at Imperial College, Imperial College London, London, UK. p.elliott@imperial.ac.uk.

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