Literature DB >> 23337237

Adult cancers near high-voltage overhead power lines.

Paul Elliott1, Gavin Shaddick, Margaret Douglass, Kees de Hoogh, David J Briggs, Mireille B Toledano.   

Abstract

BACKGROUND: Extremely low-frequency magnetic fields are designated as possibly carcinogenic in humans, based on an epidemiologic association with childhood leukemia. Evidence for associations with adult cancers is weaker and inconsistent.
METHODS: We conducted a case-control study to investigate risks of adult cancers in relation to distance and extremely low-frequency magnetic fields from high-voltage overhead power lines using National Cancer Registry Data in England and Wales, 1974-2008. The study included 7823 leukemia, 6781 brain/central nervous system cancers, 9153 malignant melanoma, 29,202 female breast cancer cases, and 79,507 controls frequency-matched on year and region (three controls per case except for female breast cancer, one control per case) 15-74 years of age living within 1000 m of a high-voltage overhead power line.
RESULTS: There were no clear patterns of excess risk with distance from power lines. After adjustment for confounders (age, sex [except breast cancer], deprivation, rurality), for distances closest to the power lines (0-49 m) compared with distances 600-1000 m, odds ratios (ORs) ranged from 0.82 (95% confidence interval = 0.61-1.11; 66 cases) for malignant melanoma to 1.22 (0.88-1.69) for brain/central nervous system cancer. We observed no meaningful excess risks and no trends of risk with magnetic field strength for the four cancers examined. In adjusted analyses at the highest estimated field strength, ≥1000 nanotesla (nT), compared with <100 nT, ORs ranged from 0.68 (0.39-1.17) for malignant melanoma to 1.08 (0.77-1.51) for female breast cancer.
CONCLUSION: Our results do not support an epidemiologic association of adult cancers with residential magnetic fields in proximity to high-voltage overhead power lines.

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Year:  2013        PMID: 23337237     DOI: 10.1097/EDE.0b013e31827e95b9

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  11 in total

1.  Residential distance at birth from overhead high-voltage powerlines: childhood cancer risk in Britain 1962-2008.

Authors:  K J Bunch; T J Keegan; J Swanson; T J Vincent; M F G Murphy
Journal:  Br J Cancer       Date:  2014-02-06       Impact factor: 7.640

2.  Resveratrol may reverse the effects of long-term occupational exposure to electromagnetic fields on workers of a power plant.

Authors:  Dan Zhang; Yang Zhang; Baoyu Zhu; He Zhang; Ye Sun; Chengxun Sun
Journal:  Oncotarget       Date:  2017-07-18

3.  Incorporating High-Dimensional Exposure Modelling into Studies of Air Pollution and Health.

Authors:  Yi Liu; Gavin Shaddick; James V Zidek
Journal:  Stat Biosci       Date:  2016-06-13

4.  Cohort Profile: the Office for National Statistics Longitudinal Study (The LS).

Authors:  Nicola Shelton; Chris E Marshall; Rachel Stuchbury; Emily Grundy; Adam Dennett; Jo Tomlinson; Oliver Duke-Williams; Wei Xun
Journal:  Int J Epidemiol       Date:  2019-04-01       Impact factor: 7.196

5.  The challenge of opt-outs from NHS data: a small-area perspective.

Authors:  Frédéric B Piel; Brandon L Parkes; Hima Daby; Anna L Hansell; Paul Elliott
Journal:  J Public Health (Oxf)       Date:  2018-12-01       Impact factor: 2.341

Review 6.  Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.

Authors:  Massimo E Maffei
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

7.  Small-area methods for investigation of environment and health.

Authors:  Frédéric B Piel; Daniela Fecht; Susan Hodgson; Marta Blangiardo; M Toledano; A L Hansell; Paul Elliott
Journal:  Int J Epidemiol       Date:  2020-04-01       Impact factor: 7.196

8.  Electric field and air ion exposures near high voltage overhead power lines and adult cancers: a case control study across England and Wales.

Authors:  Mireille B Toledano; Gavin Shaddick; Kees de Hoogh; Daniela Fecht; Anna Freni Sterrantino; James Matthews; Matthew Wright; John Gulliver; Paul Elliott
Journal:  Int J Epidemiol       Date:  2020-04-01       Impact factor: 7.196

9.  Using large and complex datasets for small-area environment-health studies: from theory to practice.

Authors:  Frédéric B Piel; Samantha Cockings
Journal:  Int J Epidemiol       Date:  2020-04-01       Impact factor: 7.196

10.  Cohort Profile: UK COSMOS-a UK cohort for study of environment and health.

Authors:  Mireille B Toledano; Rachel B Smith; Irene Chang; Margaret Douglass; Paul Elliott
Journal:  Int J Epidemiol       Date:  2017-06-01       Impact factor: 7.196

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