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Health Risks of Ionizing Radiation: - Clark University

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154 Communities Near Nuclear Facilities<br />

caused by viruses that are transmitted more readily<br />

in areas where new population mixing is occurring;<br />

some <strong>of</strong> the towns near new nuclear facilities fit this<br />

description.<br />

These studies are further limited in many cases<br />

by simplistic and uninformative study designs. For<br />

example, in most studies a circle <strong>of</strong> distance is drawn<br />

around a facility and everyone inside is assumed<br />

to have the same potential risk 25 . Radioactive<br />

contamination from a facility is unlikely to be<br />

dispersed so uniformly. Soil plutonium around Rocky<br />

Flats, for example, is distributed almost exclusively<br />

in a south-east direction (Johnson 1981). In some<br />

cases we can see disease patterns that suggest<br />

nonuniform patterns <strong>of</strong> contamination. H<strong>of</strong>fman et<br />

al. (1997) found six cases <strong>of</strong> childhood leukemia<br />

within 5 km <strong>of</strong> the Krummel nuclear power plant in<br />

Germany where only 1.3 cases were expected. All<br />

six cases occurred on the south bank <strong>of</strong> the Elbe,<br />

which cut the study area in half (Krummel is on the<br />

north bank). This may have occurred by chance, but<br />

only 20% <strong>of</strong> the population in the study area lived on<br />

the south side. If it were the case that contamination<br />

from Krummel only affected the south side <strong>of</strong> the<br />

river then we would want to calculate the risk for<br />

that area: the SIR for the whole 5-km radius was 4.6<br />

(2.1-10.3) while considering only the south half <strong>of</strong><br />

the circle gives an estimate <strong>of</strong> 24.0 (10.8-53.4).<br />

Although the studies are limited in many ways<br />

there is still a great deal <strong>of</strong> information that we<br />

can try to interpret. Although we have little or no<br />

dose information we do have information on some<br />

important differences in endpoints. Studies <strong>of</strong> adults<br />

and children have produced different results, and<br />

this is not surprising considering what we know<br />

about the unique sensitivity <strong>of</strong> children. We can<br />

also differentiate between studies <strong>of</strong> mortality and<br />

studies <strong>of</strong> incidence, or between studies <strong>of</strong> different<br />

types <strong>of</strong> nuclear facility.<br />

The highest exposures considered in this section<br />

were experienced by Techa River residents near the<br />

Mayak facility in Russia. Studies <strong>of</strong> this community<br />

have shown a significantly positive leukemia risk at<br />

doses as low as 0.18 Gy bone marrow dose (RR 2.0;<br />

1.3-3.1) and a significantly positive solid cancer risk<br />

at 0.04 Gy s<strong>of</strong>t-tissue dose (RR 1.2; 1.1-1.3).<br />

Studies <strong>of</strong> adults (or all ages combined) at lower<br />

doses have had variable results (Table 12-1). Studies<br />

<strong>of</strong> Oak Ridge and Rocky Flats, both weapons plants,<br />

have produced evidence <strong>of</strong> increased local cancer<br />

risks attributable to the plants (Mangano 1994,<br />

Johnson 1981, Crump 1987). These facilities have<br />

had unique operating histories with greater potential<br />

for radioactive releases than commercial nuclear<br />

sites. Most studies <strong>of</strong> commercial facilities have<br />

not detected a significant excess <strong>of</strong> adult cancer<br />

and no individual cancer site stands out from these<br />

analyses as a unique high-risk endpoint. Based<br />

on studies <strong>of</strong> nuclear workers we might have an a<br />

priori interest in myeloma among adults. Dousset<br />

(1989) found 3 cases (1.1 expected) within 10<br />

km <strong>of</strong> La Hague and Lopez-Abente et al. (1999)<br />

found relative risks <strong>of</strong> 1.62 (0.73-3.58) and 1.13<br />

(0.70-1.85) around Spanish power plants and fuel<br />

facilities, respectively. Boice et al. (2003b) found<br />

an increased myeloma incidence around the Apollo<br />

and Parks facilities in Pennsylvania (SIR 1.91; 0.95-<br />

3.42). Forman et al. (1987), on the other hand, found<br />

that myeloma mortality was significantly less than<br />

expected around nuclear sites in England and Wales.<br />

Since no consistent patterns emerge from studies <strong>of</strong><br />

commercial facilities we can conclude that any real<br />

risks are presumably low and masked by the variety<br />

<strong>of</strong> background rates and study designs.<br />

Childhood cancer, on the other hand, and<br />

childhood leukemia in particular, appear to be<br />

consistently associated with nuclear facilities.<br />

This is most apparent in studies <strong>of</strong> leukemia (and<br />

lymphoma) incidence (Table 12-2). Each site has<br />

had a unique history <strong>of</strong> radioactive releases, each<br />

study design is different from the next, and each<br />

study area has a unique pattern <strong>of</strong> background<br />

cancer; for these reasons we should not expect risk<br />

estimates to be <strong>of</strong> a similar value. That said, looking<br />

at Table 12-2 we see that most studies <strong>of</strong> childhood<br />

leukemia around nuclear facilities have found a<br />

significant or nearly significant excess; an ‘average’<br />

excess would be two-fold or less. There is not much<br />

25 There were some exceptions in this section. Gadekar and Gadekar (1994), Mangano (1994), Mangano et al. (2002)<br />

and Morris and Knorr (1996) all took weather patterns into account to some degree and Johnson (1981) and Crump<br />

et al. (1987) made use <strong>of</strong> soil plutonium measurements.

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