Bayer-Oglesby, Lucy
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Characterization of source-specific air pollution exposure for a large population-based Swiss cohort (SAPALDIA)
2007, Liu, L.-J. Sally, Curjuric, Ivan, Keidel, Dirk, Heldstab, Jürg, Künzli, Nino, Bayer-Oglesby, Lucy, Ackermann-Liebrich, Ursula, Schindler, Christian
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.
Follow-up of the Swiss Cohort Study on Air Pollution and Lung Diseases in Adults (SAPALDIA 2) 1991–2003: methods and characterization of participants
2005, Ackermann-Liebrich, Ursula, Kuna-Dibbert, Birgit, Probst-Hensch, Nicole M., Schindler, Christian, Dietrich, Denise Felber, Stutz, Elisabeth Zemp, Bayer-Oglesby, Lucy, Baum, Felix, Brändli, Otto, Brutsche, Martin, Downs, Sara H., Keidel, Dirk, Gerbase, Margaret W., Imboden, Medea, Keller, Roland, Knöpfli, Bruno, Künzli, Nino, Nicod, Laurent, Pons, Marco, Staedele, Patricia, Tschopp, Jean-Marie, Zellweger, Jean-Pierre, Leuenberger, Philippe
Objectives: The Swiss Cohort Study on Air Pollution and Lung Diseases in Adults (SAPALDIA) was designed to investigate the health effects from long-term exposure to air pollution. Methods: The health assessment at recruitment (1991) and at the first reassessment (2001-3) consisted of an interview about respiratory health, occupational and other exposures, spirometry, a methacholine bronchial challenge test, end-expiratory carbon monoxide (CO) measurement and measurement for atopy. A bio bank for DNA and blood markers was established. Heart rate variability was measured using a 24-hour ECG (Holter) in a random sample of participants aged 50 years and older. Concentrations of nitrogen dioxide (NO2), sulphur dioxide (SO2), ozone (O3) and particulates in ambient air have been monitored in all study areas since 1991. Residential histories collected over the 11 year follow-up period coupled with GIS modelling will provide individual long-term air pollutant exposure estimates. Results: Of 9651 participants examined in 1991, 8715 could be traced for the cohort study and 283 died. Basic information about health status was obtained for 8047 individuals (86% of alive persons), 6 528 individuals (70%) agreed to the health examination and 5 973 subjects (62%) completed the entire protocol. Non-participants in the reassessment were on average younger than participants and more likely to have been smokers and to have reported respiratory symptoms in the first assessment. Average weight had increased by 5.5 kg in 11 years and 28% of smokers in 1991 had quit by the time of the reassessment.
Long-term exposure models for traffic related NO2 across geographically diverse areas over separate years
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
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
Annoyance due to air pollution in Europe
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
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.
Soziale Ungleichheit und Covid-19. Schwere Covid-19-Verläufe mit Spitalaufenthalt und der Einfluss von Demografie, Vorerkrankung, Sozialstatus und Expositionsrisiken
2024, Bayer-Oglesby, Lucy, Bachmann, Nicole, Sepahniya, Samin, Jörg, Reto
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.
Improvements in PM10 Exposure and Reduced Rates of Respiratory Symptoms in a Cohort of Swiss Adults (SAPALDIA)
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
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.
Indoor time-microenvironment-activity patterns in seven regions of Europe
2006, Schweizer, Christian, Edwards, Rufus David, Bayer-Oglesby, Lucy, Gauderman, William James, Ilacqua, Vito, Juhani Jantunen, Matti, Lai, Hak Kan, Nieuwenhuijsen, Mark, Künzli, Nino
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.