Literature DB >> 20551994

Measured radiofrequency exposure during various mobile-phone use scenarios.

Michael A Kelsh1, Mona Shum, Asher R Sheppard, Mark McNeely, Niels Kuster, Edmund Lau, Ryan Weidling, Tiffani Fordyce, Sven Kühn, Christof Sulser.   

Abstract

Epidemiologic studies of mobile phone users have relied on self reporting or billing records to assess exposure. Herein, we report quantitative measurements of mobile-phone power output as a function of phone technology, environmental terrain, and handset design. Radiofrequency (RF) output data were collected using software-modified phones that recorded power control settings, coupled with a mobile system that recorded and analyzed RF fields measured in a phantom head placed in a vehicle. Data collected from three distinct routes (urban, suburban, and rural) were summarized as averages of peak levels and overall averages of RF power output, and were analyzed using analysis of variance methods. Technology was the strongest predictor of RF power output. The older analog technology produced the highest RF levels, whereas CDMA had the lowest, with GSM and TDMA showing similar intermediate levels. We observed generally higher RF power output in rural areas. There was good correlation between average power control settings in the software-modified phones and power measurements in the phantoms. Our findings suggest that phone technology, and to a lesser extent, degree of urbanization, are the two stronger influences on RF power output. Software-modified phones should be useful for improving epidemiologic exposure assessment.

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Year:  2010        PMID: 20551994     DOI: 10.1038/jes.2010.12

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  10 in total

1.  Complexities of sibling analysis when exposures and outcomes change with time and birth order.

Authors:  Madhuri Sudan; Leeka I Kheifets; Onyebuchi A Arah; Hozefa A Divan; Jørn Olsen
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-25       Impact factor: 5.563

2.  Mobile telephones: a comparison of radiated power between 3G VoIP calls and 3G VoCS calls.

Authors:  Dragan Jovanovic; Guillaume Bragard; Dominique Picard; Sébastien Chauvin
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-11-05       Impact factor: 5.563

3.  NMR imaging of cell phone radiation absorption in brain tissue.

Authors:  David H Gultekin; Lothar Moeller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-17       Impact factor: 11.205

4.  Development of a source-exposure matrix for occupational exposure assessment of electromagnetic fields in the INTEROCC study.

Authors:  Javier Vila; Joseph D Bowman; Jordi Figuerola; David Moriña; Laurel Kincl; Lesley Richardson; Elisabeth Cardis
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-11-09       Impact factor: 5.563

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

Authors:  Lucile Migault; Joseph D Bowman; Hans Kromhout; Jordi Figuerola; Isabelle Baldi; Ghislaine Bouvier; Michelle C Turner; Elisabeth Cardis; Javier Vila
Journal:  Ann Work Expo Health       Date:  2019-11-13       Impact factor: 2.179

6.  Trigger of a migraine headache among Thai adolescents smartphone users: a time series study.

Authors:  Wanna Chongchitpaisan; Phongtape Wiwatanadate; Surat Tanprawate; Assawin Narkpongphan; Nipapon Siripon
Journal:  Environ Anal Health Toxicol       Date:  2021-03-18

7.  Estimation of RF energy absorbed in the brain from mobile phones in the Interphone Study.

Authors:  E Cardis; N Varsier; J D Bowman; I Deltour; J Figuerola; S Mann; M Moissonnier; M Taki; P Vecchia; R Villegas; M Vrijheid; K Wake; J Wiart
Journal:  Occup Environ Med       Date:  2011-06-09       Impact factor: 4.402

8.  Scenarios approach to the electromagnetic exposure: the case study of a train compartment.

Authors:  A Paffi; F Apollonio; R Pinto; M Liberti
Journal:  Biomed Res Int       Date:  2015-02-23       Impact factor: 3.411

9.  Male cellular telephone exposure, fecundability, and semen quality: results from two preconception cohort studies.

Authors:  E E Hatch; S K Willis; A K Wesselink; E M Mikkelsen; M L Eisenberg; G J Sommer; H T Sorensen; K J Rothman; L A Wise
Journal:  Hum Reprod       Date:  2021-04-20       Impact factor: 6.918

Review 10.  EMF monitoring-concepts, activities, gaps and options.

Authors:  Gregor Dürrenberger; Jürg Fröhlich; Martin Röösli; Mats-Olof Mattsson
Journal:  Int J Environ Res Public Health       Date:  2014-09-11       Impact factor: 3.390

  10 in total

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