scholarly journals Comparing types of exposure metrics for identifying the effects of air pollution: an application in a panel of COPD patients

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Dimitris Evangelopoulos ◽  
Hanbin Zhang ◽  
Klea Katsouyanni ◽  
Heather Walton ◽  
Ben Barratt
2018 ◽  
Vol 7 (11) ◽  
pp. 432 ◽  
Author(s):  
Lukas Marek ◽  
Malcolm Campbell ◽  
Michael Epton ◽  
Simon Kingham ◽  
Malina Storer

Chronic Obstructive Pulmonary Disease is a progressive lung disease affecting the respiratory function of every sixth New Zealander and over 300 million people worldwide. In this paper, we explored how the combination of social, demographical and environmental conditions (represented by increased winter air pollution) affected hospital admissions due to COPD in an urban area of Christchurch (NZ). We juxtaposed the hospitalisation data with dynamic air pollution data and census data to investigate the spatiotemporal patterns of hospital admissions. Spatial analysis identified high-risk health hot spots both overall and season specific, exhibiting higher rates in winter months not solely due to air pollution, but rather as a result of its combination with other factors that initiate deterioration of breathing, increasing impairments and lead to the hospitalisation of COPD patients. From this we found that socioeconomic deprivation and air pollution, followed by the age and ethnicity structure contribute the most to the increased winter hospital admissions. This research shows the continued importance of including both individual (composition) and area level (composition) factors when examining and analysing disease patterns.


Author(s):  
Warner van Kersen ◽  
Marieke Oldenwening ◽  
Bernadette Aalders ◽  
Lizan D. Bloemsma ◽  
Floor Borlée ◽  
...  

2014 ◽  
Vol 2014 (1) ◽  
pp. 1653
Author(s):  
Payam Dadvand* ◽  
Mark J Nieuwenhuijsen ◽  
Àlvar Agustí ◽  
Jordi de Batlle ◽  
Marta Benet ◽  
...  

CHEST Journal ◽  
2016 ◽  
Vol 149 (4) ◽  
pp. A343
Author(s):  
Xian Wen Sun ◽  
Qing Yun Li ◽  
Pei Li Chen ◽  
Lei Ni ◽  
Lei Ren ◽  
...  

2013 ◽  
Vol 2013 (1) ◽  
pp. 4219
Author(s):  
Halûk Ozkaynak ◽  
Kathie Dionisio ◽  
Lisa Baxter ◽  
Janet Burke ◽  
David Q Rich ◽  
...  

2019 ◽  
Author(s):  
Lia Chatzidiakou ◽  
Anika Krause ◽  
Olalekan A. M. Popoola ◽  
Andrea Di Antonio ◽  
Mike Kellaway ◽  
...  

Abstract. The inaccurate quantification of personal exposure to air pollution introduces error and bias in health estimations, severely limiting causal inference in epidemiological research worldwide. Rapid advancements in affordable, miniaturised air pollution sensor technologies offer the potential to address this limitation by capturing the high variability of personal exposure during daily life in large-scale studies with unprecedented spatial and temporal resolution. However, concerns remain regarding the suitability of novel sensing technologies for scientific and policy purposes. In this paper we characterise the performance of a portable personal air quality monitor (PAM) that integrates multiple miniaturised sensors for nitrogen oxides (NOx), carbon monoxide (CO), ozone (O3) and particulate matter (PM) measurements along with temperature, relative humidity, acceleration, noise and GPS sensors. Overall, the air pollution sensors showed excellent agreement with standard instrumentation in outdoor, indoor and commuting microenvironments across seasons and different geographical settings. An important outcome of this study is that the error of the PAM is significantly smaller than the error introduced when estimating personal exposure based on sparsely distributed outdoor fixed monitoring stations. Hence, novel sensing technologies as the ones demonstrated here can revolutionise health studies by providing highly resolved reliable exposure metrics at large scale to investigate the underlying mechanisms of the effects of air pollution on health.


Author(s):  
Silvano Dragonieri ◽  
Donato Lacedonia ◽  
Grazia Pia Palladino ◽  
Giulia Scioscia ◽  
Giovanna Elisiana Carpagnano ◽  
...  

2019 ◽  
Vol 55 (4) ◽  
pp. 1901495 ◽  
Author(s):  
Denise J. Wooding ◽  
Min Hyung Ryu ◽  
Hang Li ◽  
Neil E. Alexis ◽  
Olga Pena ◽  
...  

Outdoor air pollution exposure increases chronic obstructive pulmonary disease (COPD) hospitalisations, and may contribute to COPD development. The mechanisms of harm, and the extent to which at-risk populations are more susceptible are not fully understood. Neutrophils are recruited to the lung following diesel exhaust exposure, a model of traffic-related air pollution (TRAP), but their functional role in this response is unknown. The purpose of this controlled human-exposure crossover study was to assess the effects of acute diesel exhaust exposure on neutrophil function in never-smokers and at-risk populations, with support from additional in vitro studies.18 participants, including never-smokers (n=7), ex-smokers (n=4) and mild–moderate COPD patients (n=7), were exposed to diesel exhaust and filtered air for 2 h on separate occasions, and neutrophil function in blood (0 h and 24 h post-exposure) and bronchoalveolar lavage (24 h post-exposure) was assessed.Compared to filtered air, diesel exhaust exposure reduced the proportion of circulating band cells at 0 h, which was exaggerated in COPD patients. Diesel exhaust exposure increased the amount of neutrophil extracellular traps (NETs) in the lung across participants. COPD patients had increased peripheral neutrophil activation following diesel exhaust exposure. In vitro, suspended diesel exhaust particles increased the amount of NETs measured in isolated neutrophils. We propose NET formation as a possible mechanism through which TRAP exposure affects airway pathophysiology. In addition, COPD patients may be more prone to an activated inflammatory state following exposure.This is the first controlled human TRAP exposure study directly comparing at-risk phenotypes (COPD and ex-smokers) with lower-risk (never-smokers) participants, elucidating the human susceptibility spectrum.


Sign in / Sign up

Export Citation Format

Share Document