scholarly journals What are distributed lag models of particulate matter air pollution estimating when there are populations of frail individuals?

2011 ◽  
Vol 37 (3) ◽  
pp. 586-591 ◽  
Author(s):  
Steven Roberts
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Distributed Lag ◽  
Distributed Lag Models

scholarly journals Effect of particulate matter less than 10μm (PM10) on mortality in Bogota, Colombia: a time-series analysis, 1998-2006

2014 ◽  
Vol 56 (4) ◽  
pp. 363 ◽  
Author(s):  
Luis Camilo Blanco-Becerra ◽  
Víctor Miranda-Soberanis ◽  
Leticia Hernández-Cadena ◽  
Albino Barraza-Villarreal ◽  
Washington Juner ◽  
...  
Keyword(s):  
Time Series ◽  
Particulate Matter ◽  
Time Series Analysis ◽  
Ecological Study ◽  
Cumulative Effect ◽  
Aerodynamic Diameter ◽  
Daily Mortality ◽  
Distributed Lag ◽  
Distributed Lag Models ◽  
Respiratory Causes

Objective. To analyze the association between daily mortality from different causes and acute exposure to particulate matter less than 10 microns in aerodynamic diameter (PM10), in Bogota, Colombia. Materials and methods. A time-series ecological study was conducted from 1998 to 2006. The association between mortality (due to different causes) and exposure was analyzed using single and distributed lag models and adjusting for potential confounders. Results. For all ages, the cumulative effect of acute mortality from all causes and respiratory causes increased 0.71% (95%CI 0.46-0.96) and 1.43% (95%CI 0.85-2.00), respectively, per 10µg/m3 increment in daily average PM10 with a lag of three days before death. Cumulative effect of mortality from cardiovascular causes was -0.03% (95%CI -0.49-0.44%) with the same lag. Conclusions. The results suggest an association between an increase in PM10 concentrations and acute mortality from all causes and respiratory causes.

scholarly journals Vulnerability and burden of all-cause mortality associated with particulate air pollution increased during COVID-19 pandemic: a nationwide observed study in Italy

2020 ◽  
Author(s):  
Tingting Ye ◽  
Rongbin Xu ◽  
Wenhua Yu ◽  
Zhaoyue Chen ◽  
Yuming Guo ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Pollution Level ◽  
Distributed Lag ◽  
Daily Data ◽  
Short Term Exposure ◽  
Attributable Fractions ◽  
All Cause Mortality ◽  
Italian Provinces ◽  
And Gender

AbstractBackgroundLimited evidence is available on the health effects of particulate matter (i.e. PM2.5, particulate matter with an aerodynamic diameter < 2.5μm; PM10, < 10μm; PM2.5-10, 2.5-10μm) during the pandemic of COVID-19 in Italy.ObjectivesTo examine the associations between all-cause mortality and daily PM2.5, PM2.5-10, and PM10 in the pandemic period, and compare them to the normal periods (2015-2019) in Italy.MethodsWe collected daily data regarding all-cause (stratified by age and gender), and PM2.5, PM2.5-10, and PM10 for 107 Italian provinces from 1, January 2015 to 31, May 2020. A time-stratified case-cross design with the distributed lag non-linear model was used to examine the association between PM and all-cause mortality during the first three months of the COVID-19 outbreak (March to May in 2020) and the same months in 2015-2019. We also compared the counts and fractions of death attributable to PM in two periods.ResultsOverall, Italy saw an increase in daily death counts while slight decreases in PM concentrations in 2020 pandemic period compared to same months of 2015-2019. Mortality effects were significant in lag 0-3 days for PM2.5, lag 0-2 for PM10, and lag 0-1 for PM2.5-10. Each 10 µg/m3 increase in PM was associated much higher increase in daily all-cause mortality during 2020 pandemic period compared to the same months during 2015-2019 [increased mortality rate: 7.24 % (95%CI: 4.84%, 9.70%) versus 1.69% (95%CI: 1.12%, 2.25%) for PM2.5; 3.45 % (95%C: 2.58%, 4.34%) versus 1.11% (95%CI: 0.79%, 1.42%) for PM10, 4.25% (95%CI: 2.99%, 5.52%) versus 1.76% (95%CI: 1.14%, 2.38%) for PM2.5-10]. The counts and fractions of deaths attributable to PM were higher in 2020 than the normal periods for PM2.5 (attributable death counts: 20,062 in 2020 versus 3,927 per year in 2015-2019; attributable fractions: 10.2% versus 2.4%), PM10 (15,112 versus 3,999; 7.7% versus 2.5%), and PM2.5-10 (7,193 versus 2303; 3.7% versus 1.4%).ConclusionsCOVID-19 pandemic increased the vulnerability and excess cases of all-cause mortality associated with short-term exposure to PM2.5, PM2.5-10 and PM10 in Italy, despite a decline in air pollution level. This suggests using historical PM-mortality association to calculate health benefits associated with reduction in PMs has big uncertainties.

4946The effects of climate and air pollutants on heart failure hospitalizations and mortality (CLIMATE-HF Study)

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
W Ngampongpan ◽  
T Yingchonchareon ◽  
W Aekplakorn ◽  
H Boonhat ◽  
O Pattanaprateep ◽  
...  
Keyword(s):  
Heart Failure ◽  
Air Pollution ◽  
Particulate Matter ◽  
Seasonal Variation ◽  
Acute Heart Failure ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
P Value ◽  
Coronary Syndrome ◽  
Distributed Lag

Abstract Background The data on the effects of air pollution on acute heart failure (HF) in tropical countries is limited. Particulate matter air pollution in Thailand is comparably higher than in other countries in Southeast Asia. The existence of climate and air pollution seasonal variation in our country has never been studied before. Purposes We sought to explore the effects of air pollution on HF hospitalizations and in-hospital mortality, including the effects of seasonal variation on HF negative outcomes and the association between air pollutants and hospitalizations of acute heart failure across geographical areas. Methods We undertook a retrospective analysis of longitudinal collected clinical data. The Data from 258,539 patients with primary HF admissions and daily pollutant parameters between 2011 and 2015 were collected. Data in daily pollutant parameters including respirable suspended particulates with diameter ≤10 μm (PM10), total suspended particles, ozone, carbon monoxide, nitric oxide, sulfur dioxide, air quality index were obtained. Generalized additive regression models and non-linear distributed lag functions were performed. Results 440,988 hospital admissions occurred with strong seasonal variation and peaked in winter. Particulate matter ≤10 μm (PM10) 2 days prior to admission date was associated with relative risk (RR) (95% confidence interval (CI)) of 1.02 (1.00–1.04, p-value <0.001) for HF hospitalizations after adjusting with age, sex, respiratory tract infection, acute coronary syndrome and other HF comorbidities (diabetes, hypertension, chronic kidney disease). The association of HF hospitalizations and seasonal PM10 variations was strongest in the Northeastern part of Thailand with RR (95% CI) of 1.04 (1.01–1.05), p-value = 0.005. Conclusion HF hospitalizations were associated with preceding PM10 exposure, especially in the area with greater seasonal PM10 variations. Reducing exposure to particulate matter air pollution among those at risk for HF may be the potential prevention of HF hospitalizations. Acknowledgement/Funding Research grant from Heart Failure Foundation, Ramathibodi Hospital

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