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Refined exposure windows and outcome definitions may have improved our ability to detect subtle associations.
Refined exposure assessment methodologies are critical for improving epidemiologic investigations of RF exposures (Ahlbom et al. 2004).
Third, the investigators cannot access postcodes in the THIN database and thus, more refined exposure assessments (e.g. using land use regression models) could not be performed.
The study reported by Reif et al. (2003) concerning TCE and neurobehavioral demonstrated that improvement in exposure assessment techniques "refined exposure... with adequate specificity to reveal adverse effects [of TCE] in the nervous system".
Not surprisingly, our results indicate that a more spatially refined exposure metric based on the location of crops and their associated pesticide use in proximity to a residence (CDWR metric) dramatically reduces the estimated pesticide use near homes compared with a broader metric based on pesticide use in all Sections within 500 m of the residence (CPUR metric).
More refined exposure models produced the most robust associations.
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Biomarkers offer great promise in refining exposure assessment, establishing the biological plausibility of an exposure-disease association and in evaluating intervention studies [ 5].
The study demonstrates that GIS-based technology can be used to refine exposure for epidemiologic investigations, improving sensitivity and specificity beyond a simple proximity metric.
In addition, sensitivity analyses aimed at refining exposure estimates resulted in stronger associations between PM2.5 and cardiovascular mortality in men, thus suggesting that exposure measurement error may have biased risk estimates toward the null.
In some instances, these finer-scale variations in PM2.5 have been shown to associate with larger health effects than those that vary regionally (Jerrett et al. 2005), suggesting the potential importance of refining exposure predictions.
In this analysis, we sought to refine exposure estimates using GIS-derived traffic measures at the children's residences and to evaluate associations between residential proximity to traffic and respiratory health outcomes for the study population.
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