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Impact of - IDL-BNC @ IDRC - International Development Research ...

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<strong>of</strong> the risk is a quantitative issue; lifetime risks <strong>of</strong> cancer <strong>of</strong> 102 and 1O are<br />

entirely different and would produce markedly diverging consequences in<br />

terms <strong>of</strong> risk management. Furthermore, high-low dose extrapolation with<br />

mathematical models has very weak scientific support and tends to be an<br />

administrative procedure rather than a real scientific evaluation <strong>of</strong> the risk.<br />

Discussion highlighted the importance <strong>of</strong> data on personal exposure doses. In<br />

terms <strong>of</strong> information, an epidemiological study in a small cohort with accurate<br />

personal-exposure data may be equal or even better than one in a large cohort<br />

with poorly defined personal exposures.<br />

Currently, health-risk assessment <strong>of</strong> human exposure to pesticides is mainly<br />

based on data from experiments on animals. Little information is available<br />

about effects on humans because <strong>of</strong> the lack <strong>of</strong> "strong" data from epidemiological<br />

studies. This problem may be overcome by applying a more scientific<br />

approach in health-risk assessment. Knowledge <strong>of</strong> the pharmacokinetics and<br />

pharmacodynamics <strong>of</strong> a compound in different species must be increased by<br />

carrying out studies on the mechanism <strong>of</strong> action.<br />

To obtain "good" human data, investigators should critically review the<br />

protocol for future epidemiological studies and address the question <strong>of</strong><br />

whether the effort required in such a study is proportioial to the possible<br />

outcome. Specific questions should be addressed, such as the possibility <strong>of</strong><br />

accurate exposure measurements, the selection <strong>of</strong> a suitable control group in<br />

case-control studies, and the feasibility <strong>of</strong> collecting accurate data on health<br />

status <strong>of</strong> exposed and unexposed people.<br />

Cohort studies <strong>of</strong> factory workers who manufacture pesticides can minimize<br />

these problems. In these studies, controls can be selected among unexposed<br />

workers in the same factory or nearby factories where workers are exposed to<br />

different chemicals or processes. Employment records can be used to obtain<br />

dates <strong>of</strong> employment and job titles and, thereby, identify those who had the<br />

opportunity to be exposed and the duration <strong>of</strong> exposure. If subgroups <strong>of</strong><br />

workers are exposed to only a few pesticides or chemicals used in production,<br />

then it is possible to relate excess incidence or mortality to a particular<br />

exposure. Such studies <strong>of</strong>ten suffer from having a very small sample size;<br />

evaluation <strong>of</strong> workers in more than one factory and in more than one country<br />

where the same pesticides are produced may be necessary.<br />

In choosing a reference group, using two similar industrial populations for<br />

comparison eliminates the healthy-worker effect, which may appear when<br />

using the whole general population. One should, in such cases, select a second<br />

industry with workers <strong>of</strong> similar social and economic backgrounds so that<br />

diet, physical demands, and other life-style factors are likely to be similar.<br />

One way to handle the comparison problem is the selection <strong>of</strong> the unexposed<br />

or lowest exposed group within the cohort as an internal reference. When this<br />

is done, care should be taken to assure similarities in duration <strong>of</strong> follow-up<br />

and in the size <strong>of</strong> the groups. In case-control studies, controls may come either<br />

155

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