Association between NOx exposure and deaths caused by respiratory diseases in a medium-sized Brazilian city

César, Ana Cristina Gobbo; Carvalho, João Andrade de; Nascimento, Luiz Fernando Costa

doi:10.1590/1414-431x20154396

Cited by 42 publications

(22 citation statements)

References 35 publications

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“…In this study, NO 2 had a significant relationship with respiratory mortality in both sexes and in groups aged 18 and over. Other studies have also seen a relation between nitrogen dioxide and respiratory mortality [ 19 – 21 ]. The strongest RR for NO 2 in this study for overall death was 1.04 (95% CI; 1.02–1.04) in lag 1.…”

Section: Discussionmentioning

confidence: 95%

“…The strongest RR for NO 2 in this study for overall death was 1.04 (95% CI; 1.02–1.04) in lag 1. In César et al’s study in Brazil, the RR for respiratory deaths per 10 μg/m 3 increase in NOx was 1.04 (95% CI: 1.01–1.06) [ 19 ]. In Zhang et al in Beijing, China the RR for respiratory death was 1.01 (95% CI: 1.00–1.01) per 10 μg/m3 increase of NO 2 in lag 0–2 days [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

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The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models

et al. 2018

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BackgroundSome epidemiological evidence has shown a relation between ambient air pollution and adverse health outcomes. The aim of this study was to investigate the effect of air pollution on mortality from respiratory diseases in Tehran, Iran.MethodsIn this ecological study, air pollution data was inquired from the Tehran Province Environmental Protection Agency and the Tehran Air Quality Control Company. Meteorological data was collected from the Tehran Meteorology Organization and mortality data from the Tehran Cemetery Mortality Registration. Generalized Additive Models (GAM) was used for data analysis with different lags, up to 15 days. A 10-unit increase in all pollutants except CO (1-unit) was used to compute the Relative Risk of deaths.ResultsDuring 2005 until 2014, 37,967 respiratory deaths occurred in Tehran in which 21,913 (57.7%) were male. The strongest relationship between NO2 and PM10and respiratory death was seen on the same day (lag 0), and was respectively (RR = 1.04, 95% CI: 1.02–1.07) and (RR = 1.03, 95% CI: 1.02–1.04). O3 and PM2.5 had the strongest relationship with respiratory deaths on lag 2 and 1 respectively, and the RR was equal to 1.03, 95% CI: 1.01–1.05 and 1.06, 95% CI: 1.02–1.10 respectively. NO2, O3, PM10 and PM2.5 also showed significant relations with respiratory deaths in the older age groups.ConclusionsThe findings of this study showed that O3, NO2, PM10 and PM2.5 air pollutants were related to respiratory deaths in Tehran. Reducing ambient air pollution can save lives in Tehran.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models

et al. 2018

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“…Exposure to nitrogen oxides (NOx) emitted by burning fossil fuels was associated with deaths caused by respiratory diseases using data estimated by the CCATT-BRAMS. Exposure to NOx was significantly associated with mortality owing to respiratory diseases: relative risk (RR)=1.035 for lag 2, RR=1.064 for lag 3, RR=1.055 for lag 4, and RR=1.042 for lag 5 (19).…”

Section: Discussionmentioning

confidence: 99%

Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon

Machín

Nascimento

Mantovani

et al. 2019

Braz J Med Biol Res

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Exposure to air pollution is an important cause of hospital admissions due to respiratory diseases. Nevertheless, few studies use pollutant concentration data estimated by mathematical models. A time-series ecological study was developed, using data from hospitalizations due to respiratory diseases in people over 60 years of age, residents of Cuiabá, Brazil, during 2012, obtained from the Brazilian Ministry of Health. The independent variables were the concentrations of fine particulate matter (PM2.5) and carbon monoxide (CO) estimated by mathematical modeling, minimum temperature, and relative humidity (obtained from the Brazilian Meteorological Agency), and the number of forest fires. The generalized linear regression model of Poisson was used, with lags of 0 to 7 days. The coefficients obtained were transformed into relative risk of hospitalization, with respective 95% confidence intervals; alpha=5% was adopted. In that year, 591 hospitalizations were evaluated, with a daily average of 1.61 (SD=1.49), the PM2.5 average concentration was 15.7 µg/m3, and the CO average concentration was 144.2 ppb. Significant associations between exposure to these contaminants and hospitalizations in lags 3 and 4 in 2012 were observed. There was a hospitalization risk increase of 31.8%, with an increase of 3.5 µg/m3 of PM2.5 concentrations and an increase of 188 in the total number of hospitalizations, with an expense of more than ≈US$ 96,000 for the Brazilian Public Health System. This study provided information on the cost of air pollution to the health system and the feasibility of using a mathematical model to estimate environmental concentration of air pollutants.

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“…Measures, such as the desulfurizing of diesel, gasoline or the resulting flue gas already improved the air quality in industrial cities significantly during the last decades [1,2]. A recent example of further efforts to reduce air pollution is the limitation of diesel cars in cities with high NO x levels, which are considered to cause respiratory diseases [3]. Nevertheless, the effectiveness of those measures needs to be evaluated and are therefore in the interest of (non-) governmental air-quality measurement networks.…”

Section: Introductionmentioning

confidence: 99%

A Quantum Cascade Laser-Based Multi-Gas Sensor for Ambient Air Monitoring

Genner

Martín-Mateos

Moser

et al. 2020

Sensors

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A quantum cascade laser-based sensor for ambient air monitoring is presented and five gases, affecting the air quality, can be quantified. The light sources are selected to measure CO, NO, NO2, N2O and SO2. The footprint of the measurement setup is designed to fit in two standard 19” rack (48 cm × 65 cm) with 4 height units (18 cm) whereas one is holding the optical components and the other one contains the electronics and data processing unit. The concentrations of the individual analytes are measured using 2f-Wavelength Modulation Spectroscopy (2f-WMS) and a commercially available multipass gas cell defines the optical path. In addition, CO can also be measured with a dispersion-based technique, which allows one to cover a wider concentration range than 2f-WMS. The performance of this prototype has been evaluated in the lab and detection limits in the range of 1ppbv have been achieved. Finally, the applicability of this prototype for ambient air monitoring is shown in a five-week measurement campaign in cooperation with the Municipal Department for Environmental Protection (MA 22) of Vienna, Austria.

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Association between NOx exposure and deaths caused by respiratory diseases in a medium-sized Brazilian city

Cited by 42 publications

References 35 publications

The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models

The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models

Effects of exposure to fine particulate matter in elderly hospitalizations due to respiratory diseases in the South of the Brazilian Amazon

A Quantum Cascade Laser-Based Multi-Gas Sensor for Ambient Air Monitoring

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