Bayer-Oglesby, Lucy

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Bayer-Oglesby
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Lucy
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Bayer-Oglesby, Lucy

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Item-Typ: Publikation × Anfangsdatum: 2000 × Enddatum: 2009 × Thema: air pollutants ×

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  • Vorschaubild nicht verfügbar
    Publikation
    Personal exposure assessment studies may suffer from exposure-relevant selection bias
    (Nature, 27.07.2000) Bayer-Oglesby, Lucy; Rotko, Tuulia; Krütli, Pius; Boudet, Céline; Kruize, Hanneke; Jantunen, Matti; Künzli, Nino [in: Journal of Exposure Science & Environmental Epidemiology]
    We evaluated exposure-relevant selection bias within the framework of a study on personal air pollution exposure, using traffic data as exposure proxy. Based on random samples of 3000 (Basel) and 2532 (Helsinki) persons, 50 and 250 subjects, respectively, were recruited for direct monitoring and 250 (Basel, Helsinki) for indirect monitoring. In Basel, participants of direct monitoring as compared to non-participants were more likely to live at streets with low traffic volume (49% below 1st quartile vs. 27%). Adjusted for sex, age and nationality, an increase of 100 cars per hour was associated with 14% less participation (odds ratio (OR): 0.861; 95% CI: 0.731, 1.007). Although in Helsinki, traffic volume was neither significantly related to participation in direct nor indirect monitoring, the point estimates indicate a tendency to decreased participation with increasing traffic intensity at home. We conclude that selection bias regarding exposure-relevant characteristics is likely to occur when recruiting participants for studies including demanding personal exposure assessment. Correction for factors routinely collected may not fully account for exposure-relevant bias. This is of particular importance when using exposure data for modelling population exposure distributions, whereas in epidemiological studies, a reduced range of exposure must not a priori distort the exposure-response relationship.
    01 - Zeitschriftenartikel, Journalartikel oder Magazin
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    Publikation
    Validity of Annoyance Scores for Estimation of Long Term Air Pollution Exposure in Epidemiologic Studies. The Swiss Study on Air Pollution and Lung Diseases in Adults (SAPALDIA)
    (Oxford University Press, 01.07.2000) Bayer-Oglesby, Lucy; Künzli, Nino; Monn, Christian; Schindler, Christian; Ackermann-Liebrich, Ursula; Leuenberger, Philippe [in: American Journal of Epidemiology]
    In air pollution epidemiology, estimates of long term exposure are often based on measurements made at one fixed site monitor per area. This may lead to exposure misclassification. The present paper validates a questionnaire-based indicator of ambient air pollution levels and its applicability to assess their within-area variability. Within the framework of the SAPALDIA (Swiss Study on Air Pollution and Lung Diseases in Adults) cross-sectional study (1991), 9,651 participants reported their level of annoyance caused by air pollution on an 11-point scale. This subjective measure was compared with annual mean concentrations of particulate matter less than 10 μm in diameter (PM10) and nitrogen dioxide. The impact of individual factors on reported scores was evaluated. Nitrogen dioxide concentrations at home outdoors (measured in 1993), smoking, workplace dust exposure, and respiratory symptoms were found to be predictors of individual annoyance scores. Regression of population mean annoyance scores against annual mean PM10 and nitrogen dioxide concentrations (measured in 1993 and 1991, respectively) across areas showed a linear relation and strong correlations (r > 0.85). Analysis within areas yielded consistent results. The observed associations between subjective and objective air pollution exposure estimates suggest that population mean scores, but not individual scores, may serve as a simple tool for grading air quality within areas. Reported annoyance due to air pollution should be considered an indicator for a complex environmental condition and thus might be used for evaluating the implementation of environmental policies.
    01A - Beitrag in wissenschaftlicher Zeitschrift