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      Monthly-Term Associations Between Air Pollutants and Respiratory Morbidity in South Brazil 2013–2016: A Multi-City, Time-Series Analysis

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          Abstract

          Most air pollution research conducted in Brazil has focused on assessing the daily-term effects of pollutants, but little is known about the health effects of air pollutants at an intermediate time term. The objective of this study was to determine the monthly-term association between air pollution and respiratory morbidity in five cities in South Brazil. An ecological time-series study was performed using the municipality as the unit of observation in five cities in South Brazil (Gravataí, Triunfo, Esteio, Canoas, and Charqueadas) between 2013 and 2016. Data for hospital admissions was obtained from the records of the Hospital Information Service. Air pollution data, including PM 10, SO 2, CO, NO 2, and O 3 (µg/m 3) were obtained from the environmental government agency in Rio Grande do Sul State. Panel multivariable Poisson regression models were adjusted for monthly counts of respiratory hospitalizations. An increase of 10 μg/m 3 in the monthly average concentration of PM 10 was associated with an increase of respiratory hospitalizations in all age groups, with the maximum effect on the population aged between 16 and 59 years (IRR: Incidence rate ratio 2.04 (95% CI: Confidence interval = 1.97–2.12)). For NO 2 and SO 2, stronger intermediate-term effects were found in children aged between 6 and 15 years, while for O 3 higher effects were found in children under 1 year. This is the first multi-city study conducted in South Brazil to account for intermediate-term effects of air pollutants on respiratory health.

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          Most cited references40

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          Long-term residential exposure to PM2.5, PM10, black carbon, NO2, and ozone and mortality in a Danish cohort

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            Harvesting and long term exposure effects in the relation between air pollution and mortality.

            While time series analyses have demonstrated that airborne particles are associated with early death, they have not clarified how much the deaths are advanced. If all of the pollution-related deaths were advanced by only a few days, one would expect little association between weekly averages of air pollution and daily deaths. The author used the STL algorithm to classify data on air pollution, daily deaths, and weather from Boston, Massachusetts (1979-1986) into three time series: one reflecting seasonal and longer fluctuations, one reflecting short term fluctuations, and one reflecting intermediate patterns. By varying the cutoff point between short term and intermediate term, it was possible to examine harvesting on different time scales. For chronic obstructive pulmonary disease, there was evidence that most of the mortality was displaced by only a few months. For pneumonia, heart attacks, and all-cause mortality, the effect size increased with longer time scales. The percentage increase in all deaths associated with a 10-microg/m3 increase in PM2.5 rose from 2.1% (95% confidence interval: 1.5, 4.3) to 3.75% (95% confidence interval: 3.2, 4.3) as the focus moved from daily patterns to monthly patterns. This is consistent with the larger effect seen in prospective cohort studies, rather than harvesting's playing a major role.
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              Air pollution and risk of respiratory and cardiovascular hospitalizations in the most populous city in Vietnam.

              Air pollution has become an alarming issue in Vietnam recently; however, there was only one study so far on the effects of ambient air pollution on population health. Our study aimed to investigate the short-term effects of air pollutants including PM10, NO2, SO2, and O3 on respiratory and cardiovascular hospitalizations in Ho Chi Minh City (HCMC), the largest city in Vietnam. Data on hospitalization from the two largest hospitals in HCMC and daily records of PM10, NO2, SO2, O3 and meteorological data were collected from February 2004 to December 2007. A time-series regression analysis with distributed lag model was applied for data analysis. Changes in levels of NO2 and PM10 were strongly associated with hospital admissions for both respiratory and cardiovascular diseases (CVD); whereas levels of SO2 were only moderately associated with respiratory and CVD hospital admissions and O3 concentration was not associated with any of them. For a 10μg/m(3) increase of each air pollutant, the risk of respiratory admissions increased from 0.7% to 8% while the risk of CVD admissions increased from 0.5% to 4%. Females were found to be more sensitive than males to exposure to air pollutants in regard to respiratory diseases. In regard to CVD, females (RR, 1.04, 95% CI, 1.01-1.07) had a slightly higher risk of admissions than males (RR, 1.03, 95% CI, 1-1.06) to exposure to NO2. In contrast, males (RR, 1.007, 95%CI, 1-1.01) had a higher risk of admission than females (RR, 1.004, 95%CI, 1.001-1.007) to exposure to PM10. People in the age group of 5-65year-olds had a slightly higher risk of admissions caused by air pollutants than the elderly (65+years old) except for a significant effect of PM10 on the risk of cardiovascular admissions was found for the elderly only.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                09 October 2019
                October 2019
                : 16
                : 20
                : 3787
                Affiliations
                [1 ]Department of Civil and Environmental Engineering, Universidad del Norte, 081007 Barranquilla, Colombia
                [2 ]Postgraduate Program in Remote Sensing. Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, RS 91501-970 Porto Alegre, Brazil; ecalessoteixeira@ 123456gmail.com
                [3 ]Environmental Engineering program, Universidade Federal do Rio Grande do Sul, RS 91501-970 Porto Alegre, Brazil; issalvess@ 123456gmail.com
                [4 ]Departamento de Salud Pública, Universidad del Norte, 081007 Barranquilla, Colombia; aninoj@ 123456uninorte.edu.co
                [5 ]Departamento de Salud Pública, Universidad Industrial de Santander, 680002 Bucaramanga, Colombia
                Author notes
                [* ]Correspondence: mdagudelo@ 123456uninorte.edu.co ; Tel.: +57-5-3509509 (ext. 3896)
                Author information
                https://orcid.org/0000-0002-6589-6835
                https://orcid.org/0000-0002-8948-8481
                https://orcid.org/0000-0002-5551-2586
                Article
                ijerph-16-03787
                10.3390/ijerph16203787
                6843508
                31600878
                bd1c8784-3e4c-4739-9a7e-a1661ae532f4
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 July 2019
                : 24 September 2019
                Categories
                Article

                Public health
                air pollution,morbidity,adverse effects,epidemiology,brazil
                Public health
                air pollution, morbidity, adverse effects, epidemiology, brazil

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