Environmental Health Criteria 214
Environmental Health Criteria 214
Environmental Health Criteria 214
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HUMAN EXPOSURE ASSESSMENT<br />
for temporal completeness and clarity of responses. Ideally, this<br />
should be done in the presence of the participant, and within 24 h of<br />
completion of the monitoring period. Another quality assurance step<br />
involves the use of a uniform system to code information on individual<br />
activities into microenvironmental categories.<br />
The validity and reliability of the diary data may be increased<br />
by the use of study forms that are simple and easy to understand. The<br />
language of the questions and instructions must be simple and the<br />
method of selection of answers, or of filling in data, obvious to<br />
minimize coding errors. The number of items on the questionnaire<br />
should be kept to a necessary minimum. Only the information for which<br />
there is clear use in analysis and data interpretation and which<br />
serves directly the study objectives should be included in the diary<br />
form.<br />
Verifying the validity of time-activity data is extremely<br />
difficult, if not impossible, because an absolute standard does not<br />
exist. Several researchers have sought to assess the reliability of<br />
self-reported data through test-retest procedures and by comparing<br />
different methods of collecting the same type of information (Laporte<br />
et al., 1985). The University of California at Berkeley ozone study<br />
required college students to recall time spent in physical activities<br />
outdoors, over years. The information was used as a surrogate to<br />
improve long-term ozone exposure assignment in an epidemiological<br />
study (Künzli et al., 1997b). The test-retest study revealed rather<br />
high correlations for time spent in heavy ( r = 0.81) or moderate<br />
( r = 0.61) activity (Künzli et al., 1997b). This level of<br />
concordance is similar to that observed in dietary intake validation<br />
studies where food-frequency questionnaires and diet records<br />
correlated in the order of r = 0.6 for the intake of a variety of<br />
nutrients (Rimm et al., 1992). Robinson (1985) found that a variety of<br />
methods for collecting time-activity data, including 24-h recall<br />
surveys, same-day diaries, records of the activities during 40<br />
randomly selected moments throughout the day (signalled using a<br />
beeper), and recall of the activities during a randomly chosen hour<br />
yielded essentially similar sample distributions of time the sample<br />
spent in a variety of activities. Quackenboss et al. (1986) also found<br />
consistency between diaries and the responses to self-administered<br />
recall questionnaires. Juster (1985b) found reasonably strong<br />
agreement in the reports of spouses regarding whether their partner<br />
was present at any given time throughout the day. Other comparisons of<br />
methods show that when asked about the usual time spent in selected<br />
activities, respondents tend to over-report time in unscheduled<br />
activities (relative to that recorded on their diaries), but reports<br />
are consistent for habitual activities such as commuting to work<br />
(Robinson, 1985). Waldman et al. (1991b) showed similar results when<br />
comparing activities recorded in electronic diaries with next-day<br />
recall; concordance between the methods was highest for routine,<br />
long-duration activities. Additional research, however, is necessary<br />
to determine the extent and direction of bias for the activities and<br />
the time frames of most concern in an exposure context (e.g., the<br />
frequency with which a person uses household cleaning products rather<br />
than the total time spent cleaning).<br />
5.3.3 Inter- and intra-person variability<br />
To be of use in exposure assessment, time-activity data must<br />
describe the aspects of human behaviour that influence the variability<br />
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