Health risks caused by short term exposure to ultrafine particles generated by residential wood combustion: A case study of Temuco, Chile

2014 ◽  
Vol 66 ◽  
pp. 174-181 ◽  
Author(s):  
Luis A. Díaz-Robles ◽  
Joshua S. Fu ◽  
Alberto Vergara-Fernández ◽  
Pablo Etcharren ◽  
Luis N. Schiappacasse ◽  
...  
Author(s):  
Henrik Olstrup ◽  
Christer Johansson ◽  
Bertil Forsberg ◽  
Christofer Åström

In this study, the effects on daily mortality in Stockholm associated with short-term exposure to ultrafine particles (measured as number of particles with a diameter larger than 4 nm, PNC4), black carbon (BC) and coarse particles (PM2.5–10) have been compared with the effects from more common traffic-pollution indicators (PM10, PM2.5 and NO2) and O3 during the period 2000–2016. Air pollution exposure was estimated from measurements at a 20 m high building in central Stockholm. The associations between daily mortality lagged up to two days (lag 02) and the different air pollutants were modelled by using Poisson regression. The pollutants with the strongest indications of an independent effect on daily mortality were O3, PM2.5–10 and PM10. In the single-pollutant model, an interquartile range (IQR) increase in O3 was associated with an increase in daily mortality of 2.0% (95% CI: 1.1–3.0) for lag 01 and 1.9% (95% CI: 1.0–2.9) for lag 02. An IQR increase in PM2.5–10 was associated with an increase in daily mortality of 0.8% (95% CI: 0.1–1.5) for lag 01 and 1.1% (95% CI: 0.4–1.8) for lag 02. PM10 was associated with a significant increase only at lag 02, with 0.8% (95% CI: 0.08–1.4) increase in daily mortality associated with an IQR increase in the concentration. NO2 exhibits negative associations with mortality. The significant excess risk associated with O3 remained significant in two-pollutant models after adjustments for PM2.5–10, BC and NO2. The significant excess risk associated with PM2.5–10 remained significant in a two-pollutant model after adjustment for NO2. The significantly negative associations for NO2 remained significant in two-pollutant models after adjustments for PM2.5–10, O3 and BC. A potential reason for these findings, where statistically significant excess risks were found for O3, PM2.5–10 and PM10, but not for NO2, PM2.5, PNC4 and BC, is behavioral factors that lead to misclassification in the exposure. The concentrations of O3 and PM2.5–10 are in general highest during sunny and dry days during the spring, when exposure to outdoor air tend to increase, while the opposite applies to NO2, PNC4 and BC, with the highest concentrations during the short winter days with cold weather, when people are less exposed to outdoor air.


2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Benedicte Jacquemin* ◽  
Xavier Basagaña ◽  
Aurelio Tobias ◽  
Noemi Perez ◽  
Evangelina Samoli ◽  
...  

2010 ◽  
Vol 31 (16) ◽  
pp. 2034-2040 ◽  
Author(s):  
Zorana Jovanovic Andersen ◽  
Tom Skyhøj Olsen ◽  
Klaus Kaae Andersen ◽  
Steffen Loft ◽  
Matthias Ketzel ◽  
...  

Epidemiology ◽  
2017 ◽  
Vol 28 (2) ◽  
pp. 172-180 ◽  
Author(s):  
Massimo Stafoggia ◽  
Alexandra Schneider ◽  
Josef Cyrys ◽  
Evangelia Samoli ◽  
Zorana Jovanovic Andersen ◽  
...  

2014 ◽  
Vol 2014 (1) ◽  
pp. 1989
Author(s):  
Kathrin Wolf* ◽  
Alexandra Schneider ◽  
Susanne Breitner ◽  
Christa Meisinger ◽  
Margit Heier ◽  
...  

2020 ◽  
Vol 8 (2) ◽  
pp. e001215
Author(s):  
Wu Chen ◽  
Yiqun Han ◽  
Yanwen Wang ◽  
Xi Chen ◽  
Xinghua Qiu ◽  
...  

ObjectiveExposure to particulate matter (PM) is a risk factor to diabetes, but the underlying mechanism is unclear. Adipokines play important roles in glucose metabolism. This study examined the associations between short-term exposure to ambient PM and adipokine levels and evaluated whether metabolic disorders could enhance susceptibility to PM-induced health effects.Research design and methodsIn a panel study (SCOPE, Study Comparing the Cardiometabolic and Respiratory Effects of Air Pollution Exposure on Healthy and Pre-diabetic Individuals) in Beijing, China, 60 pre-diabetic individuals and 60 healthy controls completed two to seven clinical visits. The associations between serum adiponectin, leptin, and resistin levels and the moving average (MA) mass concentration of PM2.5 and number concentrations of ultrafine particles (UFP) and accumulation-mode particles (AMP) during the 1–14 days prior to clinical visits, and the effects of metabolic disorders on any such associations, were evaluated using a linear mixed-effects model.ResultsShort-term exposure to ambient UFP and AMP was inversely associated with adipokine levels at 1–14 days prior to clinical visits. For example, each IQR increment in 1 day MA UFP exposure (6.0×103/cm3) was associated with −14.0% (95% CI −20.9%, −6.4%), −6.6% (95% CI −12.4%, −0.4%), and −8.5% (95% CI −14.5%, −2.2%) changes in adiponectin, leptin, and resistin levels, respectively. There was no significant association between adipokine levels and PM2.5 exposure. UFP and AMP exposure was associated with a greater decrease in adiponectin level and a weaker change in leptin level among participants with high insulin resistance levels. Glucose status did not modify PM-induced changes in adipokine levels.ConclusionHigh level of insulin resistance could aggravate the adverse metabolic impact of exposure to UFP and AMP.


Author(s):  
Alexandra‐Cristina Paunescu ◽  
Stephan Gabet ◽  
Nicolas Bougas ◽  
Nicole Beydon ◽  
Flore Amat ◽  
...  

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