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Epidemiological principles for EMF and EMR studies - Lincoln ...

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2<br />

Kingdom; Professor Abraham Lilienfeld, United States; <strong>and</strong> Professor John<br />

Goldsmith, Israel.<br />

Because of the complex nature of human bodies <strong>and</strong> human environments, careful<br />

procedures <strong>and</strong> approaches have been developed to carry out <strong>and</strong> assess human<br />

health <strong>studies</strong>. In attempting to identify the effects of a potential disease agent a<br />

careful selection of an exposed <strong>and</strong> unexposed population is carried out as the<br />

differences in the rates of illness (incidence) or death (mortality) is surveyed. Where<br />

possible a multiple gradient of exposures are identified <strong>and</strong> the related disease<br />

rates are assessed as a dose-response relationship.<br />

Epidemiology has developed highly advanced <strong>and</strong> strongly logical approaches to<br />

identify disease agents that cause health effects in complex human populations.<br />

However few epidemiologists have understood <strong>and</strong> applied these <strong>principles</strong> to ELF<br />

<strong>and</strong> RF/MW epidemiological <strong>studies</strong> or assessments of evidence. Exceptions are<br />

Drs Nancy Wertheimer, Ed Leeper, Sam Milham <strong>and</strong> Stanislaw Szmigielski, <strong>and</strong><br />

Professors Theo Abelin, Christoph Minder <strong>and</strong> David Savitz (<strong>and</strong> his team).<br />

There<strong>for</strong>e the need is to combine the basic epidemiological <strong>principles</strong> with the<br />

fundamental biophysical <strong>principles</strong> <strong>and</strong> the <strong>EMF</strong>/<strong>EMR</strong> exposure patterns <strong>and</strong><br />

assessments.<br />

There are a wide range of exposure situations, from residential <strong>and</strong> occupational<br />

exposures to the extremely low frequency (ELF) power supply electric fields <strong>and</strong><br />

currents that produce electromagnetic fields (<strong>EMF</strong>). There are also widespread<br />

residential <strong>and</strong> occupational exposures to radiofrequency (RF) <strong>and</strong> microwave<br />

(MW) electromagnetic radiation (<strong>EMR</strong>) exposures from radio, TV, two-way radios,<br />

radars, cordless <strong>and</strong> mobile phones, <strong>and</strong> mobile phone base stations, <strong>for</strong> example.<br />

First <strong>Epidemiological</strong> Principle:<br />

<strong>Epidemiological</strong> evidence is the strongest evidence of human health effects<br />

in exposed populations, Lilienfeld (1983). “The proper study of man is man”.<br />

Because of this principle, the public <strong>and</strong> occupational health protection exposure<br />

st<strong>and</strong>ards <strong>for</strong> most substances, including toxic chemicals <strong>and</strong> ionizing radiation, are<br />

based on epidemiological <strong>studies</strong>. However, the public health protection st<strong>and</strong>ards<br />

<strong>for</strong> ELF <strong>and</strong> <strong>EMR</strong> are not.<br />

Second <strong>Epidemiological</strong> Principle:<br />

Statistics plays a secondary role in epidemiology:<br />

Assessing the epidemiological evidence using a precautionary approach was<br />

promoted <strong>and</strong> guided by the eminent British epidemiologist, the late Sir Austin<br />

Brad<strong>for</strong>d Hill, Hill (1965). Modern epidemiology relies very heavily on statistics. For<br />

example, some <strong>studies</strong> show highly elevated effects but they are not statistically<br />

significant <strong>and</strong> there<strong>for</strong>e the authors’ conclusion is that there are no effects. A<br />

recent example of this is Johansson (2000). In contrast to this, Sir Austin Brad<strong>for</strong>d<br />

Hill dismisses the use of statistical significance. For example, card room workers in

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