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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  • Publikation
    Soziale Ungleichheit und schwere Covid-19-Verläufe in der Migrationsbevölkerung. Abschlussbericht
    (Bundesamt für Gesundheit BAG, 05.06.2024) Bachmann, Nicole; Bayer-Oglesby, Lucy; Bühler, Sarah; Sepahniya, Samin; Solèr, Maria
    05 - Forschungs- oder Arbeitsbericht
  • Publikation
    06 - Präsentation
  • Publikation
    Soziale Ungleichheit und Covid-19. Schwere Covid-19-Verläufe mit Spitalaufenthalt und der Einfluss von Demografie, Vorerkrankung, Sozialstatus und Expositionsrisiken
    (Schweizerisches Gesundheitsobervatorium OBSAN, 2024) Bayer-Oglesby, Lucy; Bachmann, Nicole; Sepahniya, Samin; Jörg, Reto [in: Obsan Bulletin]
    Das Bulletin untersucht soziale Ungleichheiten in der Covid-19-Pandemie. Auf Basis einer Datenverknüpfung zwischen der Strukturerhebung (SE) und der Medizinischen Statistik (MS) wird untersucht, welche Teile der Schweizer Bevölkerung in den Pandemiejahren 2020 und 2021 ein erhöhtes Risiko für einen Spitalaufenthalt wegen Covid-19 aufwiesen und welche Rolle dabei die soziale Lage, die Wohnsituation und der Beruf spielten. Ausserdem thematisiert das Bulletin die Rolle schwerer Vorerkrankungen und zeigt auf, wie sich die sozialen Ungleichheiten bei schweren Covid-19-Verläufen mit der Zugänglichkeit von Impfungen verändert haben.
    01B - Beitrag in Magazin oder Zeitung
  • Publikation
    06 - Präsentation
  • Publikation
    Long-term exposure models for traffic related NO2 across geographically diverse areas over separate years
    (Elsevier, 2012) Sally Liu, L.-J.; Tsai, Ming-Yi; Keidel, Dirk; Gemperli, Armin; Ineichen, Alex; Hazenkamp-von Arx, Marianne; Bayer-Oglesby, Lucy; Rochat, Thierry; Künzli, Nino; Ackermann-Liebrich, Ursula; Straehl, Peter; Schwartz, Joel; Schindler, Christian [in: Atmospheric Environment]
    Although recent air pollution epidemiologic studies have embraced land-use regression models for estimating outdoor traffic exposure, few have examined the spatio-temporal variability of traffic related pollution over a long term period and the optimal methods to take these factors into account for exposure estimates. We used home outdoor NO2 measurements taken from eight geographically diverse areas to examine spatio-temporal variations, construct, and evaluate models that could best predict the within-city contrasts in observations. Passive NO2 measurements were taken outside of up to 100 residences per area over three seasons in 1993 and 2003 as part of the Swiss cohort study on air pollution and lung and heart disease in adults (SAPALDIA). The spatio-temporal variation of NO2 differed by area and year. Regression models constructed using the annual NO2 means from central monitoring stations and geographic parameters predicted home outdoor NO2 levels better than a dispersion model. However, both the regression and dispersion models underestimated the within-city contrasts of NO2 levels. Our results indicated that the best models should be constructed for individual areas and years, and would use the dispersion estimates as the urban background, geographic information system (GIS) parameters to enhance local characteristics, and temporal and meteorological variables to capture changing local dynamics. Such models would be powerful tools for assessing health effects from long-term exposure to air pollution in a large cohort
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Improvements in PM10 Exposure and Reduced Rates of Respiratory Symptoms in a Cohort of Swiss Adults (SAPALDIA)
    (American Thoracic Society, 2009) Schindler, Christian; Keidel, Dirk; Gerbase, Margaret W.; Zemp, Elisabeth; Bettschart, Robert; Brändli, Otto; Brutsche, Martin H.; Burdet, Luc; Karrer, Werner; Knöpfli, Bruno; Pons, Marco; Rapp, Regula; Bayer-Oglesby, Lucy; Künzli, Nino; Schwartz, Joel; Liu, Lee-Jane S.; Ackermann-Liebrich, Ursula; Rochat, Thierry [in: American Journal of Respiratory and Critical Care Medicine]
    Rationale: Reductions in mortality following improvements in air quality were documented by several studies, and our group found, in an earlier analysis, that decreasing particulate levels attenuate lung function decline in adults. Objectives: We investigated whether decreases in particulates with an aerodynamic diameter of less than 10 microm (PM10) were associated with lower rates of reporting respiratory symptoms (i.e., decreased morbidity) on follow-up. Methods: The present analysis includes 7,019 subjects who underwent detailed baseline examinations in 1991 and a follow-up interview in 2002. Each subject was assigned model-based estimates of average PM10 during the 12 months preceding each health assessment and the difference was used as the exposure variable of interest (DeltaPM10). Analyses were stratified by symptom status at baseline and associations between DeltaPM10 and change in symptom status during follow-up were adjusted for important baseline characteristics, smoking status at follow-up, and season. We then estimated adjusted odds ratios for symptoms at follow-up and numbers of symptomatic cases prevented due to the observed reductions in PM10. Measurements and main results: Residential exposure to PM10 was lower in 2002 than in 1991 (mean decline 6.2 microg/m3; SD = 3.9 microg/m3). Estimated benefits (per 10,000 persons) attributable to the observed changes in PM10-levels were: 259 (95% confidence interval [CI]: 102-416) fewer subjects with regular cough, 179 (95% CI, 30-328) fewer subjects with chronic cough or phlegm and 137 (95% CI, 9-266) fewer subjects with wheezing and breathlessness. Conclusions: Reductions in particle levels in Switzerland over the 11-year follow-up period had a beneficial effect on respiratory symptoms among adults.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Characterization of source-specific air pollution exposure for a large population-based Swiss cohort (SAPALDIA)
    (National Institute of Environmental Health Sciences, 2007) Liu, L.-J. Sally; Curjuric, Ivan; Keidel, Dirk; Heldstab, Jürg; Künzli, Nino; Bayer-Oglesby, Lucy; Ackermann-Liebrich, Ursula; Schindler, Christian [in: Environmental Health Perspectives]
    Background: Although the dispersion model approach has been used in some epidemiologic studies to examine health effects of traffic-specific air pollution, no study has evaluated the model predictions vigorously. Methods: We evaluated total and traffic-specific particulate matter < 10 and < 2.5 microm in aero-dynamic diameter (PM(10), PM(2.5)), nitrogren dioxide, and nitrogen oxide concentrations predicted by Gaussian dispersion models against fixed-site measurements at different locations, including traffic-impacted, urban-background, and alpine settings between and across cities. The model predictions were then used to estimate individual subjects' historical and cumulative exposures with a temporal trend model. Results: Modeled PM(10) and NO(2) predicted at least 55% and 72% of the variability of the measured PM(10) and NO(2), respectively. Traffic-specific pollution estimates correlated with the NO(x) measurements (R(2) >or=0.77) for background sites but not for traffic sites. Regional background PM(10) accounted for most PM(10) mass in all cities. Whereas traffic PM(10) accounted for < 20% of the total PM(10), it varied significantly within cities. The modeling error for PM(10) was similar within and between cities. Traffic NO(x) accounted for the majority of NO(x) mass in urban areas, whereas background NO(x) accounted for the majority of NO(x) in rural areas. The within-city NO(2) modeling error was larger than that between cities. Conclusions: The dispersion model predicted well the total PM(10), NO(x), and NO(2) and traffic-specific pollution at background sites. However, the model underpredicted traffic NO(x) and NO(2) at traffic sites and needs refinement to reflect local conditions. The dispersion model predictions for PM(10) are suitable for examining individual exposures and health effects within and between cities.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Annoyance due to air pollution in Europe
    (Oxford University Press, 2007) Jacquemin, Bénédicte; Sunyer, Jordi; Forsberg, Bertil; Götschi, Thomas; Bayer-Oglesby, Lucy; Ackermann-Liebrich, Ursula; de Marco, Roberto; Heinrich, Joachim; Jarvis, Deborah; Torén, Kjell; Künzli, Nino [in: International Journal of Epidemiology]
    Background Annoyance due to air pollution is a subjective score of air quality, which has been incorporated into the National Environmental monitoring of some countries. The objectives of this study are to describe the variations in annoyance due to air pollution in Europe and its individual and environmental determinants. Methods This study took place in the context of the European Community Respiratory Health Survey II (ECRHS II) that was conducted during 1999–2001. It included 25 centres in 12 countries and 7867 randomly selected adults from the general population. Annoyance due to air pollution was self-reported on an 11-point scale. Annual mean mass concentration of fine particles (PM2.5) and its sulphur (S) content were measured in 21 centres as a surrogate of urban air pollution. Results Forty-three per cent of participants reported moderate annoyance (1–5 on the scale) and 14% high annoyance (≥6) with large differences across centres (2–40% of high annoyance). Participants in the Northern European countries reported less annoyance. Female gender, nocturnal dyspnoea, phlegm and rhinitis, self-reported car and heavy vehicle traffic in front of the home, high education, non-smoking and exposure to environmental tobacco smoke were associated with higher annoyance levels. At the centre level, adjusted means of annoyance scores were moderately associated with sulphur urban levels (slope 1.43 μg m−3, standard error 0.40, r = 0.61). Conclusions Annoyance due to air pollution is frequent in Europe. Individuals’ annoyance may be a useful measure of perceived ambient quality and could be considered a complementary tool for health surveillance.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Indoor time-microenvironment-activity patterns in seven regions of Europe
    (Springer, 2006) Schweizer, Christian; Edwards, Rufus David; Bayer-Oglesby, Lucy; Gauderman, William James; Ilacqua, Vito; Juhani Jantunen, Matti; Lai, Hak Kan; Nieuwenhuijsen, Mark; Künzli, Nino [in: Journal of Exposure Science and Environmental Epidemiology]
    Personal exposure to environmental substances is largely determined by time-microenvironment-activity patterns while moving across locations or microenvironments. Therefore, time-microenvironment-activity data are particularly useful in modeling exposure. We investigated determinants of workday time-microenvironment-activity patterns of the adult urban population in seven European cities. The EXPOLIS study assessed workday time-microenvironment-activity patterns among a total of 1427 subjects (age 19-60 years) in Helsinki (Finland), Athens (Greece), Basel (Switzerland), Grenoble (France), Milan (Italy), Prague (Czech Republic), and Oxford (UK). Subjects completed time-microenvironment-activity diaries during two working days. We present time spent indoors--at home, at work, and elsewhere, and time exposed to tobacco smoke indoors for all cities. The contribution of sociodemographic factors has been assessed using regression models. More than 90% of the variance in indoor time-microenvironment-activity patterns originated from differences between and within subjects rather than between cities. The most common factors that were associated with indoor time-microenvironment-activity patterns, with similar contributions in all cities, were the specific work status, employment status, whether the participants were living alone, and whether the participants had children at home. Gender and season were associated with indoor time-microenvironment-activity patterns as well but the effects were rather heterogeneous across the seven cities. Exposure to second-hand tobacco smoke differed substantially across these cities. The heterogeneity of these factors across cities may reflect city-specific characteristics but selection biases in the sampled local populations may also explain part of the findings. Determinants of time-microenvironment-activity patterns need to be taken into account in exposure assessment, epidemiological analyses, exposure simulations, as well as in the development of preventive strategies that focus on time-microenvironment-activity patterns that ultimately determine exposures.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Personal exposures to VOC in the upper end of the distribution—relationships to indoor, outdoor and workplace concentrations
    (Elsevier, 2005) Edwards, Rufus D.; Schweizer, Christian; Jantunen, Matti; Lai, Hak Kan; Bayer-Oglesby, Lucy; Katsouyanni, Klea; Nieuwenhuijsen, Mark; Saarela, Kristiina; Sram, Radim; Künzli, Nino [in: Atmospheric Environment]
    Evaluation of relationships between median residential indoor, indoor workplace and population exposures may obscure potential strategies for exposure reduction. Evaluation of participants with personal exposures above median levels in the EXPOLIS study in Athens, Helsinki, Oxford and Prague illustrated that these participants frequently showed a different relationship to indoor and workplace levels than that shown by the population median. Thus, prioritization of environments for control measures based on median exposures may exclude important areas where effectively focused control measures are possible, and may therefore have little impact on the highest and most harmful exposures. Further, personal exposures at the upper end of the distribution may exceed the US EPA inhalation reference concentration (Rfc), illustrated here using hexane, naphthalene and benzene. For example upper 90th percentile personal exposures to benzene in Athens and Prague were 64 and 27 μg m−3 with peak exposures of 217 and 38 μg m−3, respectively for non-ETS exposed participants relative to an Rfc of 30 μg m−3. Strategies to reduce exposures to individual compounds, therefore, may benefit from focus on the high end of the distribution to identify activities and behaviors that result in elevated exposures. Control strategies targeting activities that lead to exposures in the upper end of the distribution would reduce the variability associated with population median values by bringing the upper end of the exposure distribution closer to median values. Thus, compliance with health-based standards would be more protective of the higher exposed fraction of the population, in whom health effects would be more expected.
    01A - Beitrag in wissenschaftlicher Zeitschrift