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