scholarly journals Short Term Exposure to Air Pollution and Mortality in the US: A Case-Crossover Analysis

Author(s):  
Rongqi Liu ◽  
Yaguang Wei ◽  
Xinye Qiu ◽  
Anna Kosheleva ◽  
Joel D. Schwartz

Abstract Background: Studies examining the association of short-term air pollution exposure and daily deaths have typically been limited to cities and used citywide averages for exposure. This study aims to estimate the associations between short-term exposures to fine particulate matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) and all-cause and cause-specific mortality in multiple US states including rural areas.Methods: We conducted a time-stratified case-crossover study examining the entire population of seven US states from 2000-2015, with over 3 million non-accidental deaths. Daily predictions of PM2.5, O3, and NO2 at 1x1 km grid cells across the contiguous US were linked to mortality based on census track and residential address. For each pollutant, we used conditional logistic regression to quantify the association between exposure and the relative risk of mortality conditioning on meteorological variables and other pollutants. Results: A 10 μg/m3 increase in PM2.5 exposure at the moving average of lag 0-1 day and 10 ppb increase in NO2 exposure at lag 0-3 day were significantly associated with a 0.67% (95%CI: 0.34-1.01%) and 0.20% (95%CI: 0.00-0.39%) increase in the risk of all-cause mortality, respectively. A marginally significant association for mortality was observed with each 10 ppb increase in O3 exposure at lag 0-3 day. The adverse effects of PM2.5 on all-cause mortality persisted when restricting the analysis at lower levels.. PM2.5 was also significantly associated with respiratory mortality and cardiovascular mortality. Conclusions: Short-term exposure to PM2.5 and NO2 is associated with increased risks for all-cause mortality. Our findings delivered evidence that risks of death persisted at levels below currently permissible.

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhan Ren ◽  
Xingyuan Liu ◽  
Tianyu Liu ◽  
Dieyi Chen ◽  
Kuizhuang Jiao ◽  
...  

Abstract Background Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error. Methods This study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season. Results A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 μg/m3 increase in PM2.5 (lag0–2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01–1.45%) and 1.95% (95% CI 1.63–2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season. Conclusions This study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kent G Meredith ◽  
C A Pope ◽  
Joseph B Muhlestein ◽  
Jeffrey L Anderson ◽  
John B Cannon ◽  
...  

Introduction: Air pollution is associated with greater cardiovascular event risk, but which types of events and the specific at-risk individuals remain unknown. Hypothesis: Short-term exposure to fine particulate matter (PM 2.5 ) is associated with greater risk of acute coronary syndromes (ACS), including ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), and unstable angina (USA). Methods: ACS events treated at Intermountain Healthcare hospitals in Utah’s urban Wasatch Front region between September 10, 1993 and May 15, 2014 were included if the patient resided in that area (N=16,314). A time-stratified case-crossover design was performed matching the PM 2.5 exposure at the time of event with periods when the event did not occur (referent), for STEMI, NSTEMI, and USA. Patients served as their own controls. Odds ratios (OR) were determined for exposure threshold versus linear, non-threshold models. Results: In STEMI, NSTEMI, and USA patients, age averaged 62, 64, and 63 years; males constituted 73%, 66%, and 68%; current or past smoking was prevalent in 33%, 25%, and 26%; and significant coronary artery disease (CAD) (defined as ≥1 coronary with ≥70% stenosis) was found among 95%, 75%, and 74%, respectively. Short-term PM 2.5 exposure was associated with ACS events (Table). Conclusions: Short-term exposure of PM 2.5 was strongly associated with greater risk of STEMI, especially in patients with angiographic CAD. No association with NSTEMI was found, and only a weak effect for USA. This study supports a PM 2.5 exposure threshold of 25 μg/m 3 , below which little exposure effect is seen, while the effect is linear above that level.


Allergy ◽  
2007 ◽  
Vol 63 (3) ◽  
pp. 347-353 ◽  
Author(s):  
E. Carracedo-Martinez ◽  
C. Sanchez ◽  
M. Taracido ◽  
M. Saez ◽  
V. Jato ◽  
...  

Author(s):  
Jongmin Oh ◽  
Ji Hyen Lee ◽  
Eunji Kim ◽  
Soontae Kim ◽  
Hae Soon Kim ◽  
...  

Background: Kawasaki disease (KD) is an acute febrile vascular disease of unknown cause that affects the whole body. KD typically occurs in infants under the age of five and is found mainly in East Asian countries. Few studies have reported on the relationship between the pollutant PM2.5 and KD, and the evidence remains irrelevant or insufficient. Objectives: We investigated the relationship between short-term exposure to PM2.5 and KD hospitalizations using data from Ewha Womans University Mokdong Hospital, 2006 to 2016. Methods: We obtained data from the hospital EMR (electronic medical records) system. We evaluated the relationship between short-term exposure to PM2.5 and KD hospitalizations using a case-crossover design. We considered exposures to PM2.5 two weeks before the date of KD hospitalization. We analyzed the data using a conditional logistic regression adjusted for temperature and humidity. The effect size was calculated as a 10 μg/m3 increase in PM2.5 concentration. We performed a subgroup analysis by sex, season, age group, and region. In the two-pollutants model, we adjusted SO2, NO2, CO, and O3, but the effect size did not change. Results: A total of 771 KD cases were included in this study. We did not find any statistically significant relationship between PM2.5 and children’s KD hospitalization (two-day moving average: odds ratio (OR) = 1.01, 95% confidence intervals (CI) = 0.95, 1.06; seven-day moving average: OR = 0.98, CI = 0.91, 1.06; 14-day moving average: OR = 0.93, CI = 0.82, 1.05). A subgroup analysis and two pollutant analysis also found no significant results. Conclusion: We did not find a statistically significant relationship between PM2.5 and children’s KD hospitalizations. More research is needed to clarify the association between air pollution, including PM2.5, and KD.


2014 ◽  
Vol 2014 (1) ◽  
pp. 2313
Author(s):  
Auriba Raza* ◽  
Tom Bellander ◽  
Tomas Lind ◽  
Petter L.S. Ljungman ◽  
Göran Pershagen ◽  
...  

Author(s):  
Seulggie Choi ◽  
Kyae Hyung Kim ◽  
Daein Choi ◽  
Seogsong Jeong ◽  
Kyuwoong Kim ◽  
...  

The association of short-term particulate matter concentration with cardiovascular disease (CVD) among cancer survivors is yet unclear. Using the National Health Insurance Service database from South Korea, the study population consisted of 22,864 5-year cancer survivors with CVD events during the period 2015–2018. Using a time-stratified case-crossover design, each case date (date of incident CVD) was matched with three or four referent dates, resulting in a total of 101,576 case and referent dates. The daily average particulate matter 10 (PM10), 2.5 (PM2.5), and 2.5–10 (PM2.5–10) on the day of case or referent date (lag0), 1–3 days before the case or referent date (lag1, lag2, and lag3), and the mean value 0–3 days before the case or referent date (lag0–3) were determined. Conditional logistic regression was conducted to calculate the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for CVD according to quartiles of PM10, PM2.5, and PM2.5–10. Compared to the 1st (lowest) quartile of lag0–3 PM10, the 4th (highest) quartile of lag0–3 PM10 was associated with higher odds for CVD (aOR 1.13, 95% CI 1.06–1.21). The 4th quartiles of lag1 (aOR 1.12, 95% CI 1.06–1.19), lag2 (aOR 1.09, 95% CI 1.03–1.16), lag3 (aOR 1.06, 95% CI 1.00–1.12), and lag0–3 (aOR 1.11, 95% CI 1.05–1.18) PM2.5 were associated with higher odds for CVD compared to the respective 1st quartiles. Similarly, the 4th quartile of lag0–3 PM2.5–10 was associated with higher CVD events (aOR 1.11, 95% CI 1.03–1.19) compared to the 1st quartile. Short-term exposure to high levels of PM may be associated with increased CVD risk among cancer survivors.


2020 ◽  
Vol 7 (6) ◽  
pp. 3851-3858
Author(s):  
Ariane Huschmann ◽  
Marius Rasche ◽  
Peter Schlattmann ◽  
Otto W. Witte ◽  
Matthias Schwab ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yuqi Chen ◽  
Zhigang Jiao ◽  
Ping Chen ◽  
Lijun Fan ◽  
Xudan Zhou ◽  
...  

Abstract Background In recent years, air pollution has become an imminent problem in China. Few studies have investigated the impact of air pollution on the mortality of the middle-aged and elderly people. Therefore, this study aims to evaluate the impact of PM2.5 (fine particulate matter) and O3 (ozone) on non-accidental mortality and respiratory mortality of the middle-aged and elderly people in Lishui District of Nanjing and provide the evidence for potential prevention and control measures of air pollution. Method Using daily mortality and atmospheric monitoring data from 2015 to 2019, we applied a generalized additive model with time-series analysis to evaluate the association of PM2.5 and O3 exposure with daily non-accidental mortality and respiratory mortality in Lishui District. Using the population attributable fractions to estimate the death burden caused by short-term exposure to O3 and PM2.5。. Result For every 10 μg/m3 increase in PM2.5, non-accidental mortality increased 0.94% with 95% confidence interval (CI) between 0.05 and 1.83%, and PM2.5 had a more profound impact on females than males. For every 10 μg/m3 increase in O3, respiratory mortality increased 1.35% (95% CI: 0.05, 2.66%) and O3 had a more profound impact on males than females. Compared with the single pollutant model, impact of the two-pollutant model on non-accidental mortality and respiratory mortality slightly decreased. In summer and winter as opposed to the other seasons, O3 had a more obvious impact on non-accidental mortality. The population attributable fractions of non-accidental mortality were 0.84% (95% CI:0.00, 1.63%) for PM2.5 and respiratory mortality were 0.14% (95% CI:0.01, 0.26%) for O3. For every 10 μg/m3 decrease in PM2.5, 122 (95% CI: 6, 237) non-accidental deaths could be avoided. For every 10 μg/m3 decrease in O3, 10 (95% CI: 1, 38) respiratory deaths could be avoided. Conclusion PM2.5 and O3 could significantly increase the risk of non-accidental and respiratory mortality in the middle-aged and elderly people in Lishui District of Nanjing. Exposed to air pollutants, men were more susceptible to O3 damage, and women were more susceptible to PM2.5 damage. Reduction of PM2.5 and O3 concentration in the air may have the potential to avoid considerable loss of lives.


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