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Environmental Health Criteria 214

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HUMAN EXPOSURE ASSESSMENT<br />

Techniques are also being developed to allow prediction of dermal and<br />

ingestion exposures based on assumptions about human activity patterns<br />

(e.g., Fenske, 1993). The usefulness of all of these models is<br />

dependent upon the accurate characterization of pollutant-relevant<br />

time-activity patterns.<br />

3. From an epidemiological perspective, activity patterns can be<br />

used to assess the relationship between exposure and health status<br />

(e.g., Armstrong, 1985). For instance, "Do those who engage in<br />

potentially high-exposure activities experience more frequent or<br />

severe illnesses?" or "Do sensitive individuals avoid potentially<br />

high-exposure activities or limit them to certain times of day or<br />

locations?" In epidemiology, time-activity data may serve four<br />

purposes:<br />

* They may be a surrogate of the exposure of interest. For example,<br />

people may be asked about the hours they spend indoors with smokers<br />

to assess health effects of environmental tobacco smoke<br />

(Leuenberger et al., 1994).<br />

* They may be used to improve another imperfect measure of exposure.<br />

For example, estimates of long-term exposure to ozone may be<br />

derived from fixed site monitor data, weighted, however, for<br />

duration of time spent in outdoor activities (Künzli et al.,<br />

1997a,b).<br />

* They may be used as a surrogate for a cofactor which might confound<br />

the association between health and some other exposure. For<br />

example, the effect of ambient air pollution on lung function may<br />

be thought to be confounded by environmental tobacco smoke exposure<br />

(ETS). Time spent with smokers could thus be used to control this<br />

potential confounding.<br />

* The association of an exposure with some health outcome might not<br />

be the same in subgroups of different time-activity patterns<br />

(modified effect). In this case, time-activity data will allow the<br />

investigator to address such interactions.<br />

4. Another purpose of time-activity data is to describe patterns of<br />

population behaviour. The proportion of time spent by the population<br />

in various microenvironments or frequency of use of various facilities<br />

(e.g., swimming pools) may provide an indication for the contribution<br />

of each of the microenvironments or activities on total population<br />

exposure. In such studies, the emphasis is on characteristics of<br />

groups, and not on individual data. Therefore the precision of the<br />

estimates may be improved by the increased sample size although the<br />

survey tools may remain relatively simple and inexpensive.<br />

An understanding of the frequency and duration of the activities<br />

in which the target population engages can be used to set priorities<br />

for public health strategies designed to reduce exposure by limiting<br />

contact with contaminated media. Comprehensive exposure factor data<br />

for the US population may be found in AIHC (1994) and US EPA (1996a).<br />

Although this information is focused on the USA it may serve as a<br />

useful model to follow in other countries.<br />

5.2 Methods<br />

5.2.1 Activity pattern concepts<br />

http://www.inchem.org/documents/ehc/ehc/ehc<strong>214</strong>.htm<br />

Page 82 of 284<br />

6/1/2007

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