scholarly journals 477Long-term exposure to low PM2.5 and NO2 and all-cause mortality in Australia: a difference-in-differences analyses

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Rongbin Xu ◽  
Shanshan Li ◽  
Michael Abramson ◽  
Yuming Guo
Keyword(s):  
Moving Average ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Long Term Effects ◽  
Distributed Lag ◽  
All Cause Mortality ◽  
Non Linear ◽  
Residual Confounding ◽  
Level 2

Abstract Background Although many cohort studies have documented the long-term effects of ambient air pollution on mortality, but they suffer from residual confounding, being unable to control unmeasured confounders, and are often not population representative. A recently developed variant of difference-in-difference (DID) approach is promising to address these limitations. Methods We collected annual all-cause death data from 2,193 statistical areas level-2 (SA2) in Australia during 2001-2015. Area-level annual mean concentrations of PM2.5 and NO2 were derived from widely used grid (0.01°×0.01° and 0.1°×0.1°, respectively) datasets. The variant of DID method was used to evaluate the causal relationship between annual PM2.5 and NO2 and all-cause mortality. We further developed this method by considering non-linear associations and lag impacts using distributed lag non-linear model. Results The impacts of low PM2.5 (1.94-12.00 µg/m3) and NO2 (0-7.41 µg/m3) on all-cause mortality were non-linear and lasted for 0-3 year and 0-6 year, respectively. The moving average PM2.5 (0-3 year) and NO2 (0-6 year) showed non-significant impacts below the thresholds (4.44 µg/m3 and 1.10 µg/m3) observed, while every 1 µg/m3 increase above the thresholds were associated with 2.4% (95%CI: 1.6-3.3%) and 9.4% (95%CI: 7.9-10.8%) increase in all-cause mortality, respectively. We estimated that 3.0% (95%CI: 2.0-3.9%) and 9.9% (8.3-11.3%) deaths were attributable to PM2.5 and NO2, respectively. Conclusions We further developed the causal DID model and documented the deadly impacts of long-term exposure to low PM2.5 and NO2 with thresholds and lag periods. Key messages Long-term exposure to low PM2.5 and NO2 are still deadly but have thresholds.

scholarly journals The Relationship Between Air Pollution and All-Cause Mortality in Singapore

Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
Ho ◽  
Zheng ◽  
Cheong ◽  
En ◽  
Pek ◽  
...  
Keyword(s):  
Air Pollution ◽  
Health Hazard ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
World Population ◽  
Distributed Lag ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Unit Increase ◽  
The Relationship

Ambient air pollution is a risk factor for both acute and chronic diseases and poses serious health threats to the world population. We aim to study the relationship between air pollution and all-cause mortality in the context of a city-state exposed to the Southeast Asian haze problem. The primary exposure was ambient air pollution, as measured by the Pollutants Standards Index (PSI). The outcome of interest was all-cause mortality from 2010–2015. A time-stratified case-crossover design was performed. A conditional Poisson regression model, including environmental variables such as PSI, temperature, wind speed, and rainfall, was fitted to the daily count of deaths to estimate the incidence rate ratio (IRR) of mortality per unit increase in PSI, accounting for overdispersion and autocorrelation. To account for intermediate exposure effects (maximum lag of 10 days), a distributed lag non-linear model was used. There were 105,504 deaths during the study period. Increment in PSI was significantly associated with an increased risk of mortality. The adjusted IRR of mortality per the 10-unit increase in PSI was 1.01 (95%CI = 1.00–1.01). The lag effect was stronger when PSI was in the unhealthy range compared to the good and moderate ranges. At lag = 7 days, PSI appeared to have an adverse effect on mortality, although the effect was not significant. These findings provide evidence on the general health hazard of exposure to air pollution and can potentially guide public health policies in the region.

scholarly journals The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysis

2020 ◽  
Author(s):  
Xiaowen Hu ◽  
Tao Wei ◽  
Yalin Han ◽  
Jing Jia ◽  
Bei Pan ◽  
...  
Keyword(s):  
Air Pollution ◽  
Scarlet Fever ◽  
Mixed Model ◽  
Linear Time ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Lag Effects ◽  
Distributed Lag ◽  
Non Linear ◽  
Air Pollutions

Abstract Background: We conducted a distributed lag non-linear time series analysis to quantify the association between air pollution and scarlet fever in Qingdao city during 2014-2018. Methods: A generalized additive Mixed Model (GAMM) combined with a distributed lag non-linear model (DLNM) was applied to quantify the distributed lag effects of air pollutions on scarlet fever, with daily incidence of scarlet fever as the dependent variable and air pollutions as the independent variable adjusted for potential confounders. Results: A total of 6,316 cases of scarlet fever were notified, and there were 376 days occurring air pollution during the study period. Scarlet fever was significantly associated with air pollutions at a lag of 7 days with different RRs of air pollution degrees (1.172, 95%CI: 1.038-1.323 in mild air pollution; 1.374, 95%CI: 1.078-1.749 in moderate air pollution; 1.610, 95%CI: 1.163-2.314 in severe air pollution; 1.887, 95%CI: 1.163-3.061 in most severe air pollution). Conclusions: Our findings show that air pollution is positively associated with scarlet fever in Qingdao, and the risk of scarlet fever could be increased along with the degrees of air pollution. It contributes to developing strategies to prevent and reduce health impact from scarlet fever and other non-vaccine-preventable respiratory infectious diseases in air polluted areas.

Long-Term Effects of Ambient Air Pollution on Lung Function

Epidemiology ◽  
2008 ◽  
Vol 19 (5) ◽  
pp. 690-701 ◽  
Author(s):  
Thomas Götschi ◽  
Joachim Heinrich ◽  
Jordi Sunyer ◽  
Nino Künzli
Keyword(s):  
Air Pollution ◽  
Lung Function ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Long Term Effects

scholarly journals Covid-19 Lockdown in Spring 2020 in France Provided Unexpected Opportunity to Assess Health Impacts of Falls in Air Pollution

2021 ◽  
Vol 3 ◽  
Author(s):  
Lucie Adélaïde ◽  
Sylvia Medina ◽  
Vérène Wagner ◽  
Perrine de Crouy-Chanel ◽  
Elsa Real ◽  
...  
Keyword(s):  
Air Pollution ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Ambient Air ◽  
Health Impact ◽  
Ambient Air Pollution ◽  
Health Impacts ◽  
Long Term Effects ◽  
Pollution Levels

Lockdown measures to limit the spread of Covid-19 in France in spring 2020 sharply reduced activities and lowered air-pollution concentrations. This study sought to determine the short- and long-term impacts on mortality in metropolitan France resulting from the temporary decrease in the population's exposure to air pollution. The reduction in exposure to air pollution was estimated by calculating the difference between modeled exposure of the population during the strict lockdown and the gradual lifting, and the simulated exposure that would have been observed in the absence of lockdown. A quantitative health impact assessment was used to estimate both the short-term impact of PM10 and NO2 reductions, and the long-term impact of PM2.5 and NO2 reductions on mortality. Reduced activities during the lockdown lowered NO2 and PM concentrations, resulting in about 2,300 deaths postponed for PM2.5 and nearly 1,200 for NO2, mainly due to avoided long-term effects. This study shows that, even in an unprecedented context that is certainly neither realistic nor desirable to improve air quality in the long run, public interventions appear to have a significant impact on health through reductions in air-pollution levels. In a long-term perspective, the study also reminds us that the total burden of air pollution on health remains a significant risk factor in France. Efforts to reduce ambient air pollution must thus be pursued sustainably for all sources of air pollution with suitably adapted but ambitious policies. Finally, the lockdown restrictions had other consequences, both positive and negative, on the population's health. These consequences highlight the need to conduct more integrated assessments of health impacts that include the multisectoral consequences of interventions, particularly in terms of population compliance with mitigating restrictions, behavior and mental health and, more broadly, climate change.

scholarly journals The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysis

2020 ◽  
Author(s):  
Xiaowen Hu ◽  
Tao Wei ◽  
Yalin Han ◽  
Jing Jia ◽  
Bei Pan ◽  
...  
Keyword(s):  
Air Pollution ◽  
Scarlet Fever ◽  
Mixed Model ◽  
Linear Time ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Lag Effects ◽  
Distributed Lag ◽  
Non Linear ◽  
Air Pollutions

Abstract Background: We conducted a distributed lag non-linear time series analysis to quantify the association between air pollution and scarlet fever in Qingdao city during 2014-2018. Methods: A generalized additive Mixed Model (GAMM) combined with a distributed lag non-linear model (DLNM) was applied to quantify the distributed lag effects of air pollutions on scarlet fever, with daily incidence of scarlet fever as the dependent variable and air pollutions as the independent variable adjusted for potential confounders. Results: A total of 6,316 cases of scarlet fever were notified, and there were 376 days occurring air pollution during the study period. Scarlet fever was significantly associated with air pollutions at a lag of 7 days with different RRs of air pollution degrees (1.172, 95%CI: 1.038-1.323 in mild air pollution; 1.374, 95%CI: 1.078-1.749 in moderate air pollution; 1.610, 95%CI: 1.163-2.314 in severe air pollution; 1.887, 95%CI: 1.163-3.061 in most severe air pollution). Conclusions: Our findings show that air pollution is positively associated with scarlet fever in Qingdao, and the risk of scarlet fever could be increased along with the degrees of air pollution. It contributes to developing strategies to prevent and reduce health impact from scarlet fever and other non-vaccine-preventable respiratory infectious diseases in air polluted areas.

Longitudinal association between ambient nitrogen dioxide exposure and all-cause mortality in Chinese adults

2021 ◽  
Author(s):  
Yunquan Zhang ◽  
Jing Wei ◽  
Yu Zhan ◽  
Zhiming Yang ◽  
Riyang Liu ◽  
...  
Keyword(s):  
Nitrogen Dioxide ◽  
Proportional Hazards ◽  
Ambient Air ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Long Term Effects ◽  
Chinese Adults ◽  
All Cause Mortality ◽  
Longitudinal Association

Abstract A number of population-based studies have investigated long-term effects of nitrogen dioxide (NO2) on mortality, while great heterogeneities exist between studies. In highly populated countries in Asia, cohort evidence for NO2-mortality association was extensively sparse. This study aimed to quantify longitudinal association of ambient NO2 exposure with all-cause mortality in Chinese adults. A national cohort of 30,843 adult men and women were drawn from 25 provincial regions across mainland China, and followed up from 2010 through 2018. Participants’ exposures to ambient air pollutants were assigned according to their residential counties at baseline, through deriving monthly estimates from high-quality gridded datasets developed by machine learning methods. Cox proportional hazards models with time-varying exposures were utilized to assess the association of all-cause mortality with long-term exposure to ambient NO2. An approximately linear NO2-mortality relation (p=0.273 for nonlinearity) was identified across a broad exposure range of 6.9–57.4 μg/m3. Per 10-µg/m3 increase in annual NO2 exposure was associated with an hazard ratio of 1.127 (95% confidence interval: 1.042–1.219, p<0.003) for all-cause mortality. Risk estimates remained robust after additionally adjusting for the confounding effects of co-pollutants (i.e., PM2.5 or O3). In 2018, 1.65 million deaths could be attributed to ambient NO2 exposure (national average 17.3 µg/m3) in China, representing a decrease of 4.3% compared with the estimate of 1.72 million in 2010 (20.5 µg/m3). This cohort study provided national evidence for elevated risk of all-cause mortality associated with long-term exposure to ambient NO2 in Chinese adults.

scholarly journals The association between ambient air pollution and scarlet fever in Qingdao, China, 2014–2018: a quantitative analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fachun Jiang ◽  
Tao Wei ◽  
Xiaowen Hu ◽  
Yalin Han ◽  
Jing Jia ◽  
...  
Keyword(s):  
Air Pollution ◽  
Scarlet Fever ◽  
Mixed Model ◽  
Linear Time ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Lag Effects ◽  
Distributed Lag ◽  
Non Linear ◽  
Air Pollutions

Abstract Background We conducted a distributed lag non-linear time series analysis to quantify the association between air pollution and scarlet fever in Qingdao city during 2014–2018. Methods A distributed lag non-linear model (DLNM) combined with a generalized additive mixed model (GAMM) was applied to quantify the distributed lag effects of air pollutions on scarlet fever, with daily incidence of scarlet fever as the dependent variable and air pollutions as the independent variable adjusted for potential confounders. Results A total of 6316 cases of scarlet fever were notified, and there were 376 days occurring air pollution during the study period. Scarlet fever was significantly associated with air pollutions at a lag of 7 days with different relative risk (RR) of air pollution degrees [1.172, 95% confidence interval (CI): 1.038–1.323 in mild air pollution; 1.374, 95% CI 1.078–1.749 in moderate air pollution; 1.610, 95% CI 1.163–2.314 in severe air pollution; 1.887, 95% CI 1.163–3.061 in most severe air pollution]. Conclusions Our findings show that air pollution is positively associated with scarlet fever in Qingdao, and the risk of scarlet fever could be increased along with the degrees of air pollution. It contributes to developing strategies to prevent and reduce health impact from scarlet fever and other non-vaccine-preventable respiratory infectious diseases in air polluted areas.

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