Long-term Exposure to Air Pollution and Cardiovascular Mortality

Beelen, Rob; Stafoggia, Massimo; Raaschou-Nielsen, Ole; Andersen, Zorana Jovanovic; Xun, Wei; Katsouyanni, Klea; Dimakopoulou, Konstantina; Brunekreef, Bert; Weinmayr, Gudrun; Hoffmann, Barbara; Wolf, Kathrin; Samoli, Evangelia; Houthuijs, Danny; Nieuwenhuijsen, Mark; Oudin, Anna; Forsberg, Bertil; Olsson, David; Salomaa, Veikko; Lanki, Timo; Yli‐Tuomi, Tarja; Oftedal, Bente; Aamodt, Geir; Nafstad, Per; Fairé, Ulf dé; Pedersen, Nancy L.; Östenson, Claes‐Göran; Fratiglioni, Laura; Penell, Johanna; Korek, Michal; Pyko, Andrei; Eriksen, Kirsten Thorup; Tjønneland, Anne; Becker, Thomas; Eeftens, Marloes; Bots, Michiel L.; Meliefste, Kees; Wang, Meng; Bueno‐de‐Mesquita, Bas; Sugiri, Dorothea; Krämer, Ursula; Heinrich, Joachim; Hoogh, Kees de; Key, Timothy J.; Peters, Annette; Cyrys, Josef; Concin, Hans; Nagel, Gabriële; Ineichen, Alex; Schaffner, Emmanuel; Probst‐Hensch, Nicole; Dratva, Julia; Ducret-Stich, Regina E.; Vilier, Alice; Clavel‐Chapelon, Françoise; Stempfelet, Morgane; Grioni, Sara; Krogh, Vittorio; Tsai, Ming-Yi; Marcon, Alessandro; Ricceri, Fulvio; Sacerdote, Carlotta; Galassi, Claudia; Migliore, Enrica; Ranzi, Andrea; Cesaroni, Giulia; Badaloní, Chiara; Forastiére, Francesco; Tamayo, Ibón; Amiano, Pilar; Dorronsoro, Miren; Katsoulis, Michail; Trichopoulou, Antonia; Víneis, Paolo; Hoek, Gerard

doi:10.1097/ede.0000000000000076

Cited by 272 publications

(152 citation statements)

References 38 publications

Supporting

Mentioning

137

Contrasting

Unclassified

Order By: Relevance

“…The resulting differences and ratios were applied to the modelled exposure estimates at the birth addresses of the cohort participants. Further details are available from [29,30].…”

Section: Exposure Assessmentmentioning

confidence: 99%

“…However, these exposure estimates did not allow for changes over time in annual mean concentrations. Therefore, as a sensitivity analysis, exposure estimates at the birth addresses were back-extrapolated over time [29]. For the back-extrapolation data from urban background monitors in routine monitoring networks on measured NO 2 , NO x and PM10 concentrations were collected in each study area.…”

Section: Exposure Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

A multicentre study of air pollution exposure and childhood asthma prevalence: the ESCAPE project

Mölter¹,

Simpson²,

Berdel³

et al. 2014

Eur Respir J

Self Cite

136

View full text Add to dashboard Cite

The aim of this study was to determine the effect of six traffic-related air pollution metrics (nitrogen dioxide, nitrogen oxides, particulate matter with an aerodynamic diameter <10 μm (PM10), PM2.5, coarse particulate matter and PM2.5 absorbance) on childhood asthma and wheeze prevalence in five European birth cohorts: MAAS (England, UK), BAMSE (Sweden), PIAMA (the Netherlands), GINI and LISA (both Germany, divided into north and south areas).Land-use regression models were developed for each study area and used to estimate outdoor air pollution exposure at the home address of each child. Information on asthma and current wheeze prevalence at the ages of 4-5 and 8-10 years was collected using validated questionnaires. Multiple logistic regression was used to analyse the association between pollutant exposure and asthma within each cohort. Random-effects meta-analyses were used to combine effect estimates from individual cohorts.The meta-analyses showed no significant association between asthma prevalence and air pollution exposure (e.g. adjusted OR (95%CI) for asthma at age 8-10 years and exposure at the birth address (n=10377): 1.10 (0.81-1.49) per 10 μg·m -3 nitrogen dioxide; 0.88 (0.63-1.24) per 10 μg·m -3 PM10; 1.23 (0.78-1.95) per 5 μg·m -3 PM2.5). This result was consistently found in initial crude models, adjusted models and further sensitivity analyses.This study found no significant association between air pollution exposure and childhood asthma prevalence in five European birth cohorts. @ERSpublications No significant association between air pollution and childhood asthma prevalence in five European birth cohorts

show abstract

“…The resulting differences and ratios were applied to the modelled exposure estimates at the birth addresses of the cohort participants. Further details are available from [29,30].…”

Section: Exposure Assessmentmentioning

confidence: 99%

Section: Exposure Assessmentmentioning

confidence: 99%

A multicentre study of air pollution exposure and childhood asthma prevalence: the ESCAPE project

Mölter¹,

Simpson²,

Berdel³

et al. 2014

Eur Respir J

Self Cite

136

View full text Add to dashboard Cite

show abstract

“…대략 PM 10 이 20μg/m 3 증가 할 때 천식을 이유로 한 입원율은 4-5% 증가하 고 [7], 호흡기 증상의 비차비는 25% 증가하는 것 으로 보고된다 [8]. 또한 호흡기 질환뿐 아니라, 심뇌혈관 질환, 암과의 관련성을 밝히는 연구들도 다수에 이른다 [9,10]. 이러한 최근의 증거에 기 반하여 WHO는 미세먼지를 1급 발암물질로 지정 하기도 하였다 [11].…”

unclassified

Prevalence of allergic and respiratory conditions among residents living near large construction sites in Sejong city: an exploratory study with mixed method approach

Ki¹,

Shin²,

Kim³

et al. 2015

Journal of agricultural medicine and community health

View full text Add to dashboard Cite

= Abstract =Objectives: To clarify the association between dust from large construction sites and allergic and respiratory conditions among residents in Sejong city.Methods: We included 379 individuals older than 50 years from three areas of Sejong city; two areas near construction sites and one area for a comparison. Prevalence of self-reported allergic and respiratory conditions was compared across the three areas using logistic regression to adjust for covariates including age, gender, smoking, and educational attainment. A total of 16 individuals were interviewed to take details of the residents' experiences of construction work.Results: Those living in the nearby areas around construction sites were generally found to have the increased prevalence for all allergic and respiratory conditions. Odds Ratio(OR)s for cough and sneezing among the six symptoms and allergic rhinitis among the three diagnosed diseases reached statistical significance but only OR for cough remained significant after adjustment: adjusted OR for cough was 2.63 (95% CI, 1.07-6.46). Two relevant themes emerged from semi-structured interview were; 1) most residents from the affected area reported a considerable level of exposure to construction dust, 2) about half of them noted that construction dust influences allergic-and respiratory health.Conclusions: General pattern provides suggestive evidence that living close to construction sites may be positively associated with elevated risks of allergic and respiratory conditions. Efforts should be made to establish preventive measures and a comprehensive in-depth health impact assessment on this issue.

show abstract

“…Dust aerosols transport nutrients for the biosphere over long distances (Vink and Measures, 2001;McTainsh and Strong, 2007;Maher et al, 2010;Lequy et al, 2012). Finally, anthropogenic aerosols can pose health hazards for humans (Dockery et al, 1993;Brunekreef and Holgate, 2002;Ezzati et al, 2002;Smith et al, 2009;Beelen et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A pathway analysis of global aerosol processes

Schutgens

Stier

2014

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. We present a detailed budget of the changes in atmospheric aerosol mass and numbers due to various processes: emission (including instant condensation of soluble biogenic emissions), nucleation, coagulation, H 2 SO 4 condensation and in-cloud production, aging and deposition. The budget is created from monthly averaged tracer tendencies calculated by the global aerosol model ECHAM5.5-HAM2 and allows us to investigate process contributions at various length-scales and timescales. As a result, we show in unprecedented detail what processes drive the evolution of aerosol. In particular, we show that the processes that affect aerosol masses are quite different from those that affect aerosol numbers. Condensation of H 2 SO 4 gas onto preexisting particles is an important process, dominating the growth of small particles in the nucleation mode to the Aitken mode and the aging of hydrophobic matter. Together with in-cloud production of H 2 SO 4 , it significantly contributes to (and often dominates) the mass burden (and hence composition) of the hydrophilic Aitken and accumulation mode particles. Particle growth itself is the leading source of number densities in the hydrophilic Aitken and accumulation modes, with their hydrophobic counterparts contributing (even locally) relatively little. As expected, the coarse mode is dominated by primary emissions and mostly decoupled from the smaller modes. Our analysis also suggests that coagulation serves mainly as a loss process for number densities and that, relative to other processes, it is a rather unimportant contributor to composition changes of aerosol. The analysis is extended with sensitivity studies where the impact of a lower model resolution or pre-industrial emissions is shown to be small. We discuss the use of the current budget for model simplification, prioritization of model improvements, identification of potential structural model errors and model evaluation against observations.

show abstract

Long-term Exposure to Air Pollution and Cardiovascular Mortality

Cited by 272 publications

References 38 publications

A multicentre study of air pollution exposure and childhood asthma prevalence: the ESCAPE project

A multicentre study of air pollution exposure and childhood asthma prevalence: the ESCAPE project

Prevalence of allergic and respiratory conditions among residents living near large construction sites in Sejong city: an exploratory study with mixed method approach

A pathway analysis of global aerosol processes

Contact Info

Product

Resources

About