Sabine Hertel

Long-term urban particulate air pollution, traffic noise, and arterial blood pressure.

Background: Recent studies have shown an association of short-term exposure to fine particulate matter (PM) with transient increases in blood pressure (BP), but it is unclear whether long-term exposure has an effect on arterial BP and hypertension. Objectives: We investigated the cross-sectional association of residential long-term PM exposure with arterial BP and hypertension, taking short-term variations of PM and long-term road traffic noise exposure into account. Methods: We used baseline data (2000–2003) on 4,291 participants, 45–75 years of age, from the Heinz Nixdorf Recall Study, a population-based prospective cohort in Germany. Urban background exposure to PM with aerodynamic diameter ≤ 2.5 μm (PM2.5) and ≤ 10 μm (PM10) was assessed with a dispersion and chemistry transport model. We used generalized additive models, adjusting for short-term PM, meteorology, traffic proximity, and individual risk factors. Results: An interquartile increase in PM2.5 (2.4 μg/m3) was associated with estimated increases in mean systolic and diastolic BP of 1.4 mmHg [95% confidence interval (CI): 0.5, 2.3] and 0.9 mmHg (95% CI: 0.4, 1.4), respectively. The observed relationship was independent of long-term exposure to road traffic noise and robust to the inclusion of many potential confounders. Residential proximity to high traffic and traffic noise exposure showed a tendency toward higher BP and an elevated prevalence of hypertension. Conclusions: We found an association of long-term exposure to PM with increased arterial BP in a population-based sample. This finding supports our hypothesis that long-term PM exposure may promote atherosclerosis, with air-pollution–induced increases in BP being one possible biological pathway.

Increased Cause-Specific Mortality Associated with 2003 Heat Wave in Essen, Germany

During the 2003 heat wave an increase in mortality was observed in several European countries. Evidence suggests that the heat wave effect on mortality varies based upon underlying disease. In this study we examined the effects of the 2003 heat wave on all-cause and cause-specific mortality (neoplasms, cardiovascular and respiratory diseases) in a large west German city. Daily weather data for Essen was obtained from the German meteorological service. Death certificates for all deaths in Essen from 2002 to 2003 were coded according to the World Health Organization (WHO) guidelines. Mean numbers of daily deaths during and after the heat wave were compared with the average mortality in summer months (reference period). Poisson generalized additive models, adjusted for weekday and season, were fitted for overall and cause-specific mortality for the entire study period. During the 2003 heat wave (August 6–12), daily mortality increased by 15% (neoplasms), 30% (cardiovascular), and 61% (respiratory), with a decrease in the week after the heat wave of 17% for neoplasms and a sustained rise for respiratory mortality (77%). Regression analysis showed an association between heat and overall mortality in 2003 and greatest associations for respiratory mortality. Even the comparatively short heat wave in Essen in the year 2003 was associated with a rise in overall and cause-specific mortality. Different mechanisms appear to influence cause-specific mortality, with strongest associations for respiratory mortality. Harvesting might play a role in mortality due to neoplasms.

Therapy with compression stockings in Germany – results from the Bonn Vein Studies

Background: Despite the frequent use of medical compression stockings (MCS), reliable data are lacking on the frequency of MCS use and experience of patients with the treatment.

Long-term residential exposure to urban air pollution, and repeated measures of systemic blood markers of inflammation and coagulation

Background In several studies, exposure to fine particulate matter (PM) has been associated with inflammation, with inconsistent results. We used repeated measurements to examine the association of long-term fine and ultrafine particle exposure with several blood markers of inflammation and coagulation. Methods We used baseline (2000–2003) and follow-up (2006–2008) data from the Heinz Nixdorf Recall Study, a German population-based prospective cohort of 4814 participants. A chemistry transport model was applied to model daily surface concentrations of PM air pollutants (PM10, PM2.5) and particle number on a grid of 1 km2. Applying mixed regression models, we analysed associations of long-term (mean of 365 days prior to blood draw) particle exposure at each participants residence with the level of high-sensitivity C reactive protein (hs-CRP), fibrinogen, platelet and white cell count (WCC), adjusting for short-term PM exposure (moving averages of 1–7 days), personal characteristics, season, ambient temperature (1–5 days), ozone and time trend. Results We analysed 6488 observations: 3275 participants with baseline data and 3213 with follow-up data. An increase of 2.4 µg/m3 in long-term PM2.5 was associated with an adjusted increase of 5.4% (95% CI 0.6% to 10.5%) in hs-CRP and of 2.3% (95% CI 1.4% to 3.3%) in the platelet count. Fibrinogen and WCC were not associated with long-term particle exposure. Conclusions In this population-based cohort, we found associations of long-term exposure to PM with markers of inflammation (hs-CRP) and coagulation (platelets). This finding supports the hypothesis that inflammatory processes might contribute to chronic effects of air pollution on cardiovascular disease.

Erratum to: Influence of short-term exposure to ultrafine and fine particles on systemic inflammation

In the European Journal of Epidemiology 25(8) a printing error occurred in the manuscript concerning the unit of particle number concentration. The correct summary statistics of particle number concentrations (PN) given in the text and in Table 2, p. 584 is 10/l instead of 10/ml. Please find the revised Table 2. Since effect estimates of particle number were given per percent increase, results of the regression models in the text, tables and figures are correct as printed in the original publication.