scholarly journals Continuous exposure to ambient air pollution and chronic diseases: prevalence, burden, and economic costs

2020 ◽  
Vol 35 (4) ◽  
pp. 379-399
Author(s):  
Seyed M. Karimi ◽  
Ali Maziyaki ◽  
Samaneh Ahmadian Moghadam ◽  
Mahtab Jafarkhani ◽  
Hamid Zarei ◽  
...  

AbstractStudies that assess the connection between the prevalence of chronic diseases and continuous exposure to air pollution are scarce in developing countries, mainly due to data limitations. Largely overcoming data limitations, this study aimed to investigate the association between the likelihood of reporting a set of chronic diseases (diabetes, cancer, stroke and myocardial infarction, asthma, and hypertension) and continuous exposure to carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and coarse particulate matter (PM10). Using the estimated associations, the disease burden and economic costs of continuous exposure to air pollutants were also approximated. A 2011 Health Equity Assessment and Response Tool survey from Tehran, Iran, was used in the main analyses. A sample of 67,049 individuals who had not changed their place of residence for at least 2 years before the survey and reported all relevant socioeconomic information was selected. The individuals were assigned with the average monthly air pollutant levels of the nearest of 16 air quality monitors during the 2 years leading to the survey. Both single- and multi-pollutant analyses were conducted. The country’s annual household surveys from 2002 to 2011 were used to calculate the associated economic losses. The single-pollutant analysis showed that a one-unit increase in monthly CO (ppm), NO2 (ppb), O3 (ppb), and PM10 (μg/m3) during the 2 years was associated with 751 [confidence interval (CI): 512–990], 18 (CI: 12–24), 46 (CI: −27–120), and 24 (CI: 13–35) more reported chronic diseases in 100,000, respectively. The disease-specific analyses showed that a unit change in average monthly CO was associated with 329, 321, 232, and 129 more reported cases of diabetes, hypertension, stroke and myocardial infarction, and asthma in 100,000, respectively. The measured associations were greater in samples with older individuals. Also, a unit change in average monthly O3 was associated with 21 (in 100,000) more reported cases of asthma. The multi-pollutant analyses confirmed the results from single-pollutant analyses. The supplementary analyses showed that a one-unit decrease in monthly CO level could have been associated with about 208 (CI: 147–275) years of life gained or 15.195 (CI: 10.296–20.094) thousand US dollars (USD) in life-time labor market income gained per 100,000 30-plus-year-old Tehranis.

2021 ◽  
Vol 77 (3) ◽  
pp. 271-281 ◽  
Author(s):  
Yuewei Liu ◽  
Jingju Pan ◽  
Chuangang Fan ◽  
Ruijun Xu ◽  
Yaqi Wang ◽  
...  

Epidemiology ◽  
2009 ◽  
Vol 20 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Niklas Berglind ◽  
Tom Bellander ◽  
Francesco Forastiere ◽  
Stephanie von Klot ◽  
Pasi Aalto ◽  
...  

2011 ◽  
Vol 119 (7) ◽  
pp. 921-926 ◽  
Author(s):  
Irene Brüske ◽  
Regina Hampel ◽  
Zita Baumgärtner ◽  
Regina Rückerl ◽  
Sonja Greven ◽  
...  

2020 ◽  
Author(s):  
Wenning Fu ◽  
Li Zou ◽  
Hongbin Xu ◽  
Xiantao Zeng ◽  
Shijiao Yan ◽  
...  

Abstract Background and Objective: An increasing amount of epidemiological original studies suggested that long-term exposure to particulate matter (PM 2.5 and PM 10 ) could be associated with the risk of myocardial infarction(MI), but the results were inconsistent. We aimed to synthesized available cohort studies to identify the association between ambient air pollution (PM 2.5 and PM 10 ) and MI risk by a meta-analysis. Methods: PubMed and Embase were searched through September 2019 to identify studies that met predetermined inclusion criterion. Reference lists from retrieved articles were also reviewed. A random-effects model was used to calculate the pooled relative risk ( RR ) and 95% confidence intervals ( CI ). Results: Twenty-two cohort studies involving 6,567,314 participants and 865,98 patients with MI were included in this systematic review. The pooled results showed that higher levels of ambient air pollution (PM 2.5 and PM 10 ) exposure were significantly associated with the risk of MI. The pooled relative ratio ( RR) for each 10-μg/m 3 increment in PM 2.5 and PM 10 were 1.20 (95% CI : 1.11–1.29), and1.03 (95% CI :1.00-1.07) respectively. Exclusion of any single study did not materially alter the combined risk estimate. Conclusions: Integrated evidence from cohort studies supports the hypothesis that long-term exposure to PM 2.5 and PM 10 as a risk factor for MI.


Circulation ◽  
2005 ◽  
Vol 112 (20) ◽  
pp. 3073-3079 ◽  
Author(s):  
Stephanie von Klot ◽  
Annette Peters ◽  
Pasi Aalto ◽  
Tom Bellander ◽  
Niklas Berglind ◽  
...  

2005 ◽  
Vol 3 (9) ◽  
pp. 1955-1961 ◽  
Author(s):  
J. VERMYLEN ◽  
A. NEMMAR ◽  
B. NEMERY ◽  
M. F. HOYLAERTS

Author(s):  
Hsiu-Yung Pan ◽  
Shun-Man Cheung ◽  
Fu-Cheng Chen ◽  
Kuan-Han Wu ◽  
Shih-Yu Cheng ◽  
...  

Background: Air pollution exposure is associated with greater risk for cardiovascular events. This study aims to examine the effects of increased exposure to short-term air pollutants on ST-segment elevation myocardial infarction (STEMI) and determine the susceptible groups. Methods: Data on particulate matter PM2.5 and PM10 and other air pollutants, measured at each of the 11 air-quality monitoring stations in Kaohsiung City, were collected between 2011 and 2016. The medical records of non-trauma adult (>17 years) patients who had visited the emergency department (ED) with a typical electrocardiogram change of STEMI were extracted. A time-stratified and case-crossover study design was used to examine the relationship between air pollutants and daily ED visits for STEMI. Results: An interquartile range increment in PM2.5 on lag 0 was associated with an increment of 25.5% (95% confidence interval, 2.6%–53.4%) in the risk of STEMI ED visits. Men and persons with ≥3 risk factors (male sex, age, hypertension, diabetes, current smoker, dyslipidemia, history of myocardial infarction, and high body mass index) for myocardial infarction (MI) were more sensitive to the hazardous effects of PM2.5 (interaction: p = 0.039 and p = 0.018, respectively). The associations between PM10, NO2, and O3 and STEMI did not achieve statistical significance. Conclusion: PM2.5 may play an important role in STEMI events on the day of exposure in Kaohsiung. Men and persons with ≥3 risk factors of MI are more susceptible to the adverse effects of PM2.5 on STEMI.


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