Cell phones and brain tumors: a review including the long-term epidemiologic data

Khurana, Vini G.; Teo, Charles; Kundi, Michael; Hardell, Lennart; Carlberg, Michael

doi:10.1016/j.surneu.2009.01.019

Cited by 230 publications

(127 citation statements)

References 61 publications

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“…In some cases, this may lead to disease. During the past twenty years, the growing use of mobile phones (MP) has aroused great concern regarding the health effects of exposure to the EMR (Kundi et al, 2004, Khurana et al, 2009). Dual-band phones can cover GSM networks in pairs such as 900 and 1800 MHz frequencies (Europe, Asia, Australia, and Brazil) or 850 and 1900 MHz (North America and Brazil).…”

Section: Introductionmentioning

confidence: 99%

Biophysical Properties of Liquid Water Exposed to EM Radio Frequency Radiation

Shalatonin¹

2012

Electromagnetic Radiation

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Section: Introductionmentioning

confidence: 99%

Biophysical Properties of Liquid Water Exposed to EM Radio Frequency Radiation

Shalatonin¹

2012

Electromagnetic Radiation

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“…Moreover, it reports selectively chosen data from Hardell's 2006 papers, including his pooled-analyses [1,2] referred to subjects with 5 year latency but does not highlight, for those with 10 year latency, the much more significant data on increases of ipsilateral head tumour risk, although these are clearly indicated in Hardell's papers. Besides, it does not consider the recent studies by Hardell [3,[35][36][37] or those of Interphone [22,24,29,31,32] which report s.s. increases of ipsilateral head tumour risk after 10-year latency or use of cellular phones ( Table 2). Consequently, the Ahlbom metaanalysis gives results that lack any indication of head tumour risk from MP use or latency up to 10 years (Table 3), emphasising the complete incompatibility between the two data sources: 83% of Hardell's risk data (OR) are > 1, of which 43% are s.s., while the Interphone data are largely (73%) < 1, of which 11% are s.s.…”

Section: Resultsmentioning

confidence: 95%

“…Indeed, by splitting the overall risk data of these meta-analyses according to their source, only Hardell's data are systematically above 1 (90-100%), of which 50-90% are s.s., whereas Interphone data include 50-70% of risk values below 1, a proportion of which (up to over 20%) are s.s. Moreover, when only ipsilateral data are considered [37], even 100% of the Interphone risk values are above 1, of which 29% are s.s.…”

Section: Resultsmentioning

confidence: 99%

“…In fact, the meta-analyses of Hardell [35,36], Khurana [37], Kundi [38], and ourselves [39], including the literature data on head tumours in people with MP latency or continuous use of at least 10 years -and thus, besides Hardell's data [1][2][3][4]36], also part of the Interphone data [23-25, 29, 31, 32] -show large and s.s. increases (100%) of the risk of ipsilateral gliomas with high level of malignancy, and sizable and s.s. increases (50-140%) of the risk of ipsilateral acoustic neuromas (Table 3). These increases are smaller than those found by Hardell in the pooled analyses of his data alone [1,2,4], being "diluted" with the Interphone data corresponding to the requirements indicated above.…”

Section: Resultsmentioning

confidence: 99%

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Mobile Phones and Head Tumours: A Critical Analysis of Case-Control Epidemiological Studies

Levis

Minicuci²,

Ricci³

et al. 2012

TOENVIRJ

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Protocols and results of case-control studies, pooled-and meta-analyses on the relationship between mobile phone use and risk of head tumours are critically analysed, and for each study strict elements necessary for evaluating its reliability are identified and applied (see Methods). In studies funded by public bodies, blind protocols give positive results revealing cause-effect relationships between long-term latency or use of mobile phones (cellulars and cordless) and statistically significant increases of ipsilateral risk of brain gliomas and acoustic neuromas, with biological plausibility. In studies funded or co-funded by the cellphone companies non-blind protocols give overall negative results with systematic underestimation of risk; however, also in these studies a statistically significant increase in risk of ipsilateral brain gliomas, acoustic neuromas, and parotid gland tumours is quite common when only subjects with at least 10 years of latency or exposure to mobile phones (only cellulars) are considered. Informed precautionary measures are therefore recommended as a step towards reducing risk of head tumours, especially for young people and those making intense use of cellular and cordless phones.

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“…No further attempt was made to character ize the health effects of the electromagnetic fi elds. For a dis cussion of health issues that goes beyond the SAR value, the interested reader is referred to [23,24]. The SAR uncertainties from effects of age-dependent tissue variations [11], posture, and anatomical variations [18,25] have been studied previ ously, and are beyond the scope of the current analysis.…”

Section: Introductionmentioning

confidence: 99%

A Study of RF Dosimetry from Exposure to an AMI Smart Meter

Zhou

Schneider

2012

IEEE Antennas Propag. Mag.

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As part of the development of the advanced metering infrastructure (AMI), i.e., the "smart grid," power utilities are increasingly deploying residential meters that wirelessly communicate (either with devices in the home, with other meters, or with the utility). These meters may employ multiple antennas and radiate at different frequencies, ranging from 850 MHz to 2.4 GHz. Unlike radio-frequency (RF) exposure caused by cell phones, where the position of the phone relative to the body is somewhat fi xed, the position of a power meter relative to the body is rather unconstrained. In this work, we used the Finite-Difference Time-Domain (FDTD) Method to study the Specifi c Absorption Rate (SAR) produced in full anatomical models of humans when they were exposed to the RF fi elds produced by a wireless AMI meter, commonly referred to as a smart meter. Various scenarios were considered, most of which could be described as "beyond worst case." Despite this fact, only when an individual was extremely close to one particular radiating element and when one ignored the actual duty cycle of these meters did the SAR values exceed the published safety limits. When one accounts for the meter's true duty cycle or there was a realistic separation between the meter and an individual, all SAR values fell within safety limits.

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Cell phones and brain tumors: a review including the long-term epidemiologic data

Cited by 230 publications

References 61 publications

Biophysical Properties of Liquid Water Exposed to EM Radio Frequency Radiation

Biophysical Properties of Liquid Water Exposed to EM Radio Frequency Radiation

Mobile Phones and Head Tumours: A Critical Analysis of Case-Control Epidemiological Studies

A Study of RF Dosimetry from Exposure to an AMI Smart Meter

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