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1.
Journal of Environmental and Occupational Medicine ; (12): 62-69, 2024.
Article in Chinese | WPRIM | ID: wpr-1006458

ABSTRACT

Background Affected by concentration, composition, and population tolerance of air pollutants, the relationship between air pollutants and population health has regional differences. There is still a research gap in Guiyang. Objective To explore the short-term effects of air pollutant concentrations in low-pollution areas on the outpatient volume of respiratory diseases. Methods Spearman correlation analysis was used to evaluate the correlation between air pollutants, meteorological factors, and respiratory outpatient volume from January 1, 2013 to December 31, 2020 in Guiyang City. A single pollutant distribution lag nonlinear model and a multi-pollutant interaction model were established based on Poisson distribution. A three-dimensional diagram was drawn to display the relationship between air pollutants and respiratory outpatient volume. Quantitative analysis was conducted on the attribution risk and lag effect of air pollutant concentration on outpatient volume of respiratory diseases in Guiyang City. Results The results of the single pollutant model showed that fine particulate matter (PM2.5), nitrogen dioxide (NO2), carbon monoxide (CO), and sulfur dioxide (SO2) elevated the outpatient volume of respiratory diseases. The maximum relative risk (RR) and 95%CI values of PM2.5, NO2,CO, and SO2 appeared on Day 2, 0, 5, and 6, respectively, which were 1.019 (1.015, 1.023), 1.146 (1.122, 1.171), 1.129 (1.116, 1.143), and 1.046(1.040, 1.052), respectively. For every quartile concentration increment of PM2.5, NO2, CO, or SO2, the outpatient volume of respiratory diseases increased by 0.943% (0.111%, 1.782%), 4.050% (3.573%, 4.529%), 0.595% (0.317%, 0.874%), or 0.667% (0.235%, 1.100%), respectively. The maximum RR (95%CI) of O3 was 1.015 (1.007, 1.023) and appeared on Day 0. The results of multi-pollutant model showed that PM2.5, NO2, CO, SO2, and O3 all elevated the outpatient volume of respiratory diseases. The maximum RR values of PM2.5, NO2, CO, SO2 and O3 appeared on Day 14, 0, 5, 7 and 0, respectively, which were 1.027 (1.021, 1.034), 1.213 (1.179, 1.248), 1.059 (1.043, 1.074), 1.016 (1.005, 1.026), and 1.024 (1.015, 1.033), respectively. Compared with the single pollutant model, the RR values of PM2.5, NO2, and O3 on the outpatient volume of respiratory diseases in the multi-pollutant model showed an upward trend, while the RR values of CO and SO2 in the multi-pollutant model showed a downward trend. Conclusion The impact of low concentrations of PM2.5, NO2, CO, and SO2 on human health cannot be ignored.

2.
São Paulo med. j ; 141(4): e2022210, 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1432443

ABSTRACT

ABSTRACT BACKGROUND: Exposure to air pollutants and illness by severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection can cause serious pulmonary impairment. OBJECTIVE: To identify a possible association between exposure to air pollutants and hospitalizations due to SARS-Cov-2. DESIGN AND SETTING: Ecological time-series study carried out in Taubaté, Tremembé, and Pindamonhangaba in 2020 and 2021. METHODS: Study with Sars-Cov-2 hospitalizations with information on hospitalization date, sex and age of the subjects, duration of hospitalization, type of discharge, and costs of these hospitalizations. Statistical analysis was performed through a negative binomial regression, with data on pollutant concentrations, temperature, air relative humidity, and hospitalization date. Coefficients obtained by the analysis were transformed into relative risk for hospitalization, which estimated hospitalizations excess according to an increase in pollutant concentrations. RESULTS: There were 1,300 hospitalizations and 368 deaths, with a predominance of men (61.7%). These data represent an incidence rate of 250.4 per 100,000 inhabitants and 28.4% hospital lethality. Significant exposure (P value < 0.05) occurred seven days before hospital admission (lag 7) for nitrogen dioxide (NO2) (relative risk, RR = 1.0124) and two days before hospital admission for PM2.5 (RR = 1.0216). A 10 μg/m3 in NO2 concentration would decrease by 320 hospitalizations and ¼ US $ 240,000 in costs; a 5 μg/m3 in PM2.5 concentration would decrease by 278 hospitalizations and ¼ US $ 190,000 in costs. CONCLUSION: An association between exposure to air pollutants and hospital admission due to Sars-Cov-2 was observed with excess hospitalization and costs for the Brazilian public health system.

3.
Journal of Public Health and Preventive Medicine ; (6): 27-31, 2022.
Article in Chinese | WPRIM | ID: wpr-920368

ABSTRACT

Objectives To investigate the effects of low level of ambient NO2 on the death of cardiovascular and cerebrovascular diseases in Enshi city and to identify sensitive population, so as to provide a scientific basis for formulating health policies. Methods The data of air pollutants, meteorological factors and death of cardiovascular and cerebrovascular diseases in Enshi city from 2015 to 2018 were collected. The generalized additive model based on Poisson distribution was used to analyze the effects of low ambient NO2 level on the death risk of cardiovascular and cerebrovascular diseases in Enshi city. A subgroup analysis was performed on age, gender, and season. Results The average concentrations of major gaseous air pollutants in Enshi city from 2015 to 2018 were NO2 (21.40 μg/m3), SO2 (9.68 μg/m3), CO (0.88 mg/m3), and O3 (61.21 μg/m3), respectively, all of which did not exceed the national secondary standard. The results of single pollutant model analysis showed that each 1 μg/m3 increase in NO2 concentration in lag0 day was associated with a 0.33% increase (95% CI: 0.06 - 0.72) (P>0.05) in mortality risk of cardiovascular and cerebrovascular diseases. In the female population, each 1 μg/m3 increase in NO2 concentration in lag01 day was associated with a 0.92% increase (95% CI: 0.26 - 1.56) (P2 concentration in lag0 day was associated with a 0.62% increase (95% CI: 0.12 - 1.12) (P2, CO or O3), the effect of NO2 on the mortality risk of cardiovascular and cerebrovascular diseases in women and the whole population in cold season still existed. Conclusion The low ambient level of NO2 in Enshi city was significantly associated with increased mortality risk of cardiovascular and cerebrovascular diseases in female population as well as in cold seasons in the whole population. Attention should be paid to the health protection of special populations in areas with low ambient pollution level of NO2 in special seasons.

4.
Mongolian Medical Sciences ; : 53-61, 2022.
Article in English | WPRIM | ID: wpr-972884

ABSTRACT

Introduction@#This field assessment was performed to ensure the effective implementation of Order No. A/142 of the Deputy Prime Minister of Mongolia dated 30<sup>th</sup> December 2021 and Order No. A/01 of the Head of the National Committee for Reducing Environmental Pollution dated 3<sup>rd</sup> January 2022 and to monitor the level of indoor air pollutants emitted from traditional stoves and standard stoves. @*Purpose@#To determine the level of indoor air pollutants emitted from briquette combustion and to develop recommendations by comparing various types of stoves and dwellings. @*Materials and Methods@#Through analytical cross-sectional designs, three households from Songinokhairkhan district and one household from Chingeltei district were selected to participate in this assessment as they use briquettes for heating, vary in their dwelling types (ger (traditional Mongolian tent), house) and their stove types (traditional, standard), stay home during the day and chose to participate in the assessment. 24-hour continuous measurements were conducted for each dwelling and before taking measurements, we calibrated and adjusted the air suction velocity of the measuring instrument at the Central Metrology Laboratory. The monitor was placed at a distance of 0.5m from the stove and a height of 0.5-1.0m from the floor. The results were then compared with the Mongolian National Standard “General air quality and technical requirements MNS4585:2016” and WHO Guidelines for Indoor Air Quality 2021. Statistical analysis was performed using SPSS 24.0 software, mean, ANOVA test, and if the p-value is less than 0.05, our results are statistically significant.@*Results@#The concentration level of SO<sub>2</sub> in houses with “Dul” stoves was within the level specified in the Mongolian standard MNS4585: 2016 and WHO Guidelines for Indoor Air Quality 2021, while 24-hour SO<sub>2</sub> concentration in gers and houses with traditional stoves was 1.3-2.92 times higher than the standards. The 24-hour average concentration of nitrogen dioxide in houses with traditional stoves was 1.73 times higher than the Mongolian air quality standard MNS4585: 2016. There were statistically significant differences in the emission levels of SO<sub>2</sub> and NO<sub>2</sub> depending on dwelling and stove types (df=4, f=4.04, p=0.008 and df=4, f=17.17, p=0.001, respectively.). The 8-hour average (10,000 μg/m3) CO concentration was statistically significant for various types of dwellings and stoves (df=4, f=45.17, p=0.001), whereas there was a statistically significant difference in CO concentrations in gers with traditional stoves and gers with standard stoves in terms of morning, afternoon, and evening hours (df=3, f=33.17, p=0.001). @*Conclusion@#Indoor air pollutants in the households except for houses with “Dul” stoves have been determined to exceed the air quality standards set by the Mongolian air quality standards and WHO Guidelines for Indoor Air Quality 2021.

5.
Mongolian Medical Sciences ; : 34-41, 2022.
Article in English | WPRIM | ID: wpr-972882

ABSTRACT

Introduction@#Air pollution is one of the greatest environmental risk to health. Ambient air pollution accounts for an estimated 4.2 million deaths per year due to stroke, heart disease, lung cancer and chronic respiratory diseases. Approximately 46% of the population resides in Ulaanbaatar, and over half of the population living in ger (traditional yurt dwelling) areas consumes raw coal, which leads to an increase in ambient air pollutants. The Government of Mongolia took a series of actions to reduce air pollution; one was the ban on the consumption of raw coal beginning on 15 May 2019. The aim of this study is to describe the Ulaanbaatar air quality related to briquettes usage during cold seasons. @*Material and Methods@#We used ecological research design in this study. Quantitative data about air quality of Ulaanbaatar city during the cold seasons (Oct, Nov, Dec, Jan, Feb, Mar, Apr) in 2018-2020 years were analyzed from Department of air quality. These 5 indicators such as sulfur dioxide, nitrogen dioxide, particles (PM<sub>2.5</sub>, PM<sub>10</sub>) and carbon monoxide were selected for statistical analysis. The SPSS-20 software was used to analyze the data. @*Ethics@#The methodology was approved by the Medical Ethics Sub-Committee of the Ach medical university on 5<sup>th</sup> of February, 2021.@*Results@#The average sulfur dioxide, nitrogen dioxide concentrations in the air have increased in October 2019–April 2020 compared to the previous five years. But carbon oxide, particular matter concentrations have decreased in the selected years. Sulfur dioxide (p <0.0001), nitrogen dioxide (p =0.001), PM<sub>10</sub>(p <0.0001), and PM<sub>2.5</sub> (p <0.0001) are differentiated before and after the use of improved fuels by Wilcoxon signed rank test. However, the CO content did not differ from that of the briquette’s consumption (p =0.412).@*Conclusions@#During the cold seasons, the concentration of sulfur dioxide and nitrogen dioxide has increased in air of Ulaanbaatar after used briquettes, while the concentration of particulate matter has decreased during the cold seasons.

6.
Journal of Environmental and Occupational Medicine ; (12): 119-126, 2022.
Article in Chinese | WPRIM | ID: wpr-960380

ABSTRACT

Background Exposure to ambient nitrogen dioxide (NO2) could increase the risks of small for gestational age (SGA) and large for gestational age (LGA). Nevertheless, previous published studies usually use a time period over relatively long durations as the exposure window, such as trimester-specific or gestational months, to identify adverse pregnancy outcomes related susceptible exposure windows for ambient air pollution. At present, no study has explored associations of weekly-specific ambient air NO2 exposure around pregnancy with SGA and LGA. Objective To evaluate the associations of exposure to ambient NO2 over the preconception and entire pregnancy period with risks of SGA and LGA, as well as to explore critical windows of NO2 exposure by refining exposure period to specific weeks. Methods Based on a birth cohort established by the project Environmental and LifEstyle FActors iN metabolic health throughout life-course Trajectories (ELEFANT) situated in Tianjin, 10 916 singleton pregnant women whose dates of the last menstrual period and delivery were both between June 2014 and June 2016, and whose gestational age were within 24-42 completed gestational weeks were included in this study. Each pregnant woman's exposures to ambient NO2 throughout 12 weeks before pregnancy and pregnancy period were matched with daily average NO2 concentrations obtained from the Chinese air quality reanalysis datasets (CAQRA). Distributed lag models incorporated in Cox proportional hazard regression models were applied to explore the associations of maternal exposure to weekly ambient NO2 throughout 12 weeks before pregnancy and pregnancy period with risks of SGA and LGA after controlling for potential confounders including maternal age, ethnicity, educational level, occupation, body mass index before pregnancy, residence, times of gravidity and parity, smoking, alcohol consumption, husband smoking, and season of conception. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated per 3 μg·m−3 increase in ambient NO2 concentrations. Results The average levels of maternal exposure to NO2 over the preconception, first trimester, second trimester, third trimester, and entire pregnancy periods were (39.6±10.8), (42.7±10.5), (44.8±12.7), (37.7±11.1), and (41.6±4.8) μg·m−3, respectively. For a 3 μg·m−3 increase in NO2 over the first trimester, the risk of SGA increased by 19.0% (95%CI: 8.0%-32.0%). For a 3 μg·m−3 increase in NO2 over the preconception, first trimester, and entire pregnancy, the associated risks of LGA increased by 7.0% (95%CI: 1.0%-13.0%), 37.0% (95%CI: 29.0%-46.0%) and 19.0% (95%CI: 9.0%-31.0%), respectively. For SGA, the susceptible exposure windows for NO2 were observed during the 7th to 12th preconceptional weeks and the 6th to 12th gestational weeks, with the strongest association found at the 12th preconceptional week, when the risk of SGA increased by 6.0% (95%CI:3.2%-8.9%) for a 3 μg·m−3 increase in NO2. For LGA, the susceptible exposure windows for NO2 were observed during the 1st to 12th preconceptional weeks and the 1st to 6th gestational weeks, with the strongest association found at the 12th preconceptional week, when the risk of LGA increased by 6.1% (95%CI: 4.5%-7.8%) for a 3 μg·m−3 increase in NO2. Conclusion Exposure to ambient NO2 is associated with increased risks of both SGA and LGA, and the most susceptible weekly exposure windows are nested within the 12 weeks before pregnancy and early pregnancy.

7.
Braz. j. med. biol. res ; 55: e12273, 2022. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1403903

ABSTRACT

The association between exposure to air pollutants and respiratory diseases is well known. This study aimed to identify the association between this exposure and hospitalizations for COVID-19 in São José dos Campos, SP, a medium-sized city, between April 2020 and April 2021. Hospitalization data, concerning code B34.2, was supplied by DATASUS, and data concerning pollutants and climate variables were supplied by CETESB. Cases were quantified by sex, age, length of hospital stay in days, and type of discharge, whether hospital discharge or death. The negative binomial regression model was chosen. Estimates were produced for the relative risk (RR) of significant exposure to pollutants (P≤0.05) with a 10 µg/m3 increase of pollutant, as well as for excess hospitalizations. There were 1873 hospitalizations, with a daily average of 4.7 (±3.8), ranging from zero to 21: 716 deaths (38.2%) were recorded, 1065 admissions were men, and women were less susceptible (OR=0.82). The average age of women was higher than that of men; in cases of death, men were older than women; discharged patients were younger. All the above variables were significant. The risk of ozone exposure was higher and more significant in Lag 2, and the risk of nitrogen dioxide exposure was high in Lag 3, which was the period of the highest increase in hospitalizations, at 11.3%. The findings of this study, the first conducted in Brazil, corroborate the results of studies conducted in other centers.

8.
Rev. méd. Chile ; 149(10)oct. 2021.
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1389377

ABSTRACT

Background: The Chilean Metropolitan region is exposed to nitrogen dioxide levels that are above the WHO Air Quality Guidelines. Aim: To report the exposure to nitrogen dioxide levels and to estimate the damage that these levels can cause in health. Material and Methods: Description of nitrogen dioxide levels in the Chilean Metropolitan Region between 2016 and 2018 and the attributable risk of these levels on the population health. Results: The average hourly levels of nitrogen dioxide exceeded 40 pg/m3. In the three years studied, 11,686 attributable health problems were estimated, including deaths, hospitalizations, and attendance to emergency rooms. Conclusions: We provide valid information to review and adjust primary air quality standards for nitrogen dioxide. The exposed population should be educated about the risk of this exposure to promote self-care.

9.
Cad. Saúde Pública (Online) ; 37(9): e00242320, 2021. tab, graf
Article in English | LILACS | ID: biblio-1345626

ABSTRACT

On March 24, 2020, a partial lockdown was decreed in the state of São Paulo, Brazil, as a measure to hinder the spread of COVID-19, which consisted in prohibiting crowding and advising people to stay home, except for urgent or extremely necessary matters. Based on studies performed in other countries, this study aims to assess the impacts of the lockdown on the air quality of five cities in the state of São Paulo. Our study was conducted by using particulate matter and nitrogen dioxide as air quality indicators, and by correlating the contaminants concentrations with weather data. The results showed an increase in these contaminants in all cities within the first weeks after the lockdown compared with the weeks before the decree and with the same period in previous years. This result is inconsistent with the literature. Therefore, a secondary goal was set to investigate the possible cause (or causes) of such deterioration in air quality, which led to the increased number of wildfires. The anomalous dry weather favored the burning of vegetation in agricultural rural areas and in small, vegetated areas near the municipalities, and limited pollution scavenging by rainfall, both of which contributed to higher pollution concentration. We hypothesize the possible effects of worse air quality on the aggravation of COVID-19, but further research is necessary to obtain a complete assessment.


Em 24 de março de 2020, foi decretado confinamento parcial no Estado de São Paulo, Brasil, como medida para desacelerar a disseminação da COVID-19. O decreto consistia na proibição de aglomerações e na recomendação para as pessoas permanecerem em casa, exceto em situações urgentes ou de extrema necessidade. Na esteira de estudos realizados em outros países, o artigo busca avaliar os impactos do confinamento na qualidade do ar em cinco cidades no Estado de São Paulo. Nosso estudo foi realizado com o material particulado e dióxido de nitrogênio enquanto indicadores da qualidade do ar e pela correlação das concentrações dos contaminantes com dados meteorológicos. Os resultados mostraram um aumento desses contaminantes em todas as cinco cidades dentro das primeiras semanas depois do confinamento, comparado às semanas que antecederam o decreto e com o mesmo período em anos anteriores. O resultado é inconsistente com os achados usualmente relatados em outros estudos. Portanto, foi definido um objetivo secundário a fim de investigar a possível causa (ou causas) da piora na qualidade do ar, o que revelou um aumento no número de incêndios. O tempo anormalmente seco favoreceu a queima de vegetação nas áreas agrícolas rurais e em pequenas áreas de vegetação próximas às cidades, além do limitado escoamento da poluição pela chuva, o que contribuiu à maior concentração de poluentes. Os achados sugerem hipóteses sobre os possíveis efeitos dessa situação de pior qualidade do ar sobre o agravamento de casos de COVID-19, porém são necessários mais estudos para uma avaliação completa.


El 24 de marzo de 2020 se decretó un confinamiento parcial en el estado de São Paulo, Brasil, como medida para evitar la propagación de la COVID-19, que consistió en prohibir aglomeraciones de personas y avisar a la gente que permaneciera en casa, salvo para asuntos urgentes o extremadamente necesarios. Siguiendo algunos estudios realizados en otros países, el objetivo de este trabajo es evaluar los impactos del confinamiento en la calidad del aire de ciudades en el estado de São Paulo. Nuestro estudio fue realizado usando material particulado y dióxido de nitrógeno, como indicadores de la calidad del aire, y mediante la correlación de las concentraciones de contaminantes con los datos meteorológicos. Los resultados mostraron un incremento en estos contaminantes en todas las ciudades dentro de las primeras semanas tras el confinamiento, comparando las semanas antes del decreto y dentro del mismo periodo en los años previos. Este resultado es inconsistente con aquellos que han sido informados en otros estudios. Por ello, un objetivo secundario fue investigar la posible causa (o causas) de tal deterioro en la calidad del aire, que conduce a un incremento en el número de incendios. La climatología seca anómala favoreció la quema de vegetación en las áreas rurales agrícolas, y en áreas con poca vegetación cerca de las ciudades, y la eliminación limitada de la contaminación gracias a la lluvia, ambos contribuyeron a una mayor concentración de contaminación. Se especula que los posibles efectos de esta situación de una peor calidad del aire podrían afectar en el agravamiento de los casos de COVID-19, pero son quizás necesarias más investigaciones para conseguir una evaluación completa.


Subject(s)
Humans , Air Pollutants/analysis , Air Pollutants/adverse effects , Air Pollution/analysis , Air Pollution/adverse effects , COVID-19 , Brazil/epidemiology , Communicable Disease Control , Environmental Monitoring , Pandemics , SARS-CoV-2
10.
Environmental Health and Preventive Medicine ; : 56-56, 2020.
Article in English | WPRIM | ID: wpr-827259

ABSTRACT

BACKGROUND@#We previously demonstrated that continuous exposure to nitrous acid gas (HONO) for 4 weeks, at a concentration of 3.6 parts per million (ppm), induced pulmonary emphysema-like alterations in guinea pigs. In addition, we found that HONO affected asthma symptoms, based on the measurement of respiratory function in rats exposed to 5.8 ppm HONO. This study aimed to investigate the dose-response effects of HONO exposure on the histopathological alterations in the respiratory tract of guinea pigs to determine the lowest observed adverse effect level (LOAEL) of HONO.@*METHODS@#We continuously exposed male Hartley guinea pigs (n = 5) to four different concentrations of HONO (0.0, 0.1, 0.4, and 1.7 ppm) for 4 weeks (24 h/day). We performed histopathological analysis by observing lung tissue samples. We examined samples from three guinea pigs in each group under a light microscope and measured the alveolar mean linear intercept (Lm) and the thickness of the bronchial smooth muscle layer. We further examined samples from two guinea pigs in each group under a scanning electron microscope (SEM) and a transmission electron microscope (TEM).@*RESULTS@#We observed the following dose-dependent changes: pulmonary emphysema-like alterations in the centriacinar regions of alveolar ducts, significant increase in Lm in the 1.7 ppm HONO-exposure group, tendency for hyperplasia and pseudostratification of bronchial epithelial cells, and extension of the bronchial epithelial cells and smooth muscle cells in the alveolar duct regions.@*CONCLUSIONS@#These histopathological findings suggest that the LOAEL of HONO is < 0.1 ppm.


Subject(s)
Animals , Male , Alveolar Epithelial Cells , Bronchi , Dose-Response Relationship, Drug , Emphysema , Epithelial Cells , Guinea Pigs , Hyperplasia , Inhalation Exposure , Lung , Pathology , Microscopy, Electron, Scanning , Microscopy, Electron, Transmission , Myocytes, Smooth Muscle , Nitrous Acid , Toxicity
11.
Shanghai Journal of Preventive Medicine ; (12): 270-2020.
Article in Chinese | WPRIM | ID: wpr-876378

ABSTRACT

Objective To explore associations between short-term exposure to ambient nitrogen dioxide (NO2) and hospital outpatient visits. Methods Daily outpatient visit data were obtained from 5 hospitals in Beijing, Shanghai, and Guangzhou, the three major cities in China.The study period was from 2013 to 2015.The causes of disease were determined in accordance to the International Classification of Disease 10th version, with the codes A00-R99.Daily air pollution data were from the nearest state-controlled environmental monitoring stations.City-level environmental factors were acquired, including temperature and relative humidity.A time-series generalized additive model (GAM) was adopted to explore the effect of daily NO2 exposure on hospital outpatient visits, after controlling the time trends, day of week (DOW), holiday, and environmental factors.Then a random-effect meta-analysis was used to pool the results across cities.We also explored the lag structure, two-pollutant models, and potential seasonal effect. Results During the study period, the average daily outpatient visits were 3 949.The average NO2 exposure level was 55.3 μg/m3.The lag analysis showed that NO2 exposure had the greatest effect on outpatient visits every day. For a 10 μg/m3 increase in NO2, outpatient visits remarkably increased by 0.85% (95%CI:0.51%-1.19%).The associations of NO2 remained robust after controlling co-pollutants, including fine particulate matter, ozone, sulfur dioxide and carbon monoxide.The effects of NO2 were more in cool seasons, and the exposure-response curves between NO2 and outpatient visits were nearly linear. Conclusions Short-term exposure to NO2 increases the risk of hospital outpatient visits in major cities, suggesting a need to further lower exposure levels of NO2 in China.

12.
Chinese Journal of Preventive Medicine ; (12): 919-924, 2019.
Article in Chinese | WPRIM | ID: wpr-798032

ABSTRACT

Objective@#To investigate the effect of long-term exposure of nitrogen dioxide on the incidence of hypertension.@*Methods@#From March to December 2009, 37 386 eligible residents from four cities in northern China (Tianjin, Shenyang, Taiyuan, and Rizhao) were enrolled in a follow-up study by using the random cluster sampling method. Demographic characteristics, lifestyle, history of diseases, and self-report situation of hypertension were collected by using questionnaire. Based on the average annual concentration of NO2 during the period from the cohort to the onset of hypertension as an estimate of exposure, the effect of NO2 exposure on hypertension was analyzed by employing Cox proportional hazards model. The interactions between NO2 exposure and different characteristics (age, sex, body mass index, smoking, alcohol consumption, education, economy, exercise, and fruit intake) were also examined.@*Results@#The baseline age of residents was (43.74±13.78) years, and the body mass index (BMI) was (22.56±2.92) kg/m2. During an average follow-up time of 11.40 years, 2 619 (7.0%) new cases of hypertension were reported. The overall mean environmental pollution levels during the study period for the entire cohort was (40.74±17.07) μg/m3. After adjusting for age, sex, BMI, family history of hypertension, socio-economic information, and lifestyle, the hazard ratio (HR) of incident hypertension with a 10 μg/m3 increase of NO2 was 1.21 (95%CI: 1.18-1.25). Compared with residents aged 60 years and over (HR=1.19, 95%CI: 1.14-1.26), former and current smoking (HR=1.20, 95%CI: 1.14-1.25), and high-frequency fruit consumption (HR=1.17, 95%CI: 1.13-1.21), residents younger than 60 years (HR=1.28, 95%CI: 1.25-1.32), non-smoker (HR=1.23, 95%CI: 1.19-1.27), and low-frequency fruit consumption (HR=1.27, 95%CI: 1.20-1.35) had stronger interaction effect with NO2 (all P values for interaction<0.05).@*Conclusion@#NO2 exposure may lead to the onset of hypertension, which has a stronger effect on people younger than 60 years old, without smoking history and with low-frequency fruit consumption.

13.
Arq. bras. oftalmol ; 81(6): 481-489, Nov.-Dec. 2018. graf
Article in English | LILACS | ID: biblio-973849

ABSTRACT

ABSTRACT Purpose: To evaluate the effect of air pollution on the ocular surface of patients with Sjögren's syndrome. Methods: We investigated the ocular surfaces of thirty patients with Sjögren's syndrome and thirty healthy volunteers (control group) living in the Metropolitan Area of Buenos Aires. We used nitrogen dioxide as an indicator of exposure to air pollution. An ocular symptoms questionnaire was answered by all subjects, who also underwent a complete ocular surface ophthalmic examination-including an Ocular Surface Disease Index questionnaire, biomicroscopy, tear breakup time, Schirmer 1 test, corneal and conjunctival vital staining with fluorescein and lissamine green, tear lysozyme concentration, and impression cytology. Results: In almost all ocular surface test findings, we found a positive and significant correlation between higher levels of exposure to air pollution and higher levels of ocular surface damage in both the control group and Sjögren's syndrome patients. In Sjögren's syndrome patients, the Ocular Surface Disease Index questionnaire, tear breakup time, vital staining and impression cytology showed a significant correlation between high levels of air pollution and ocular surface disease. In the control group, the Ocular Surface Disease Index questionnaire, tear breakup time, and impression cytology showed a significant correlation between high levels of air pollution and ocular surface disease. Conclusions: Here we demonstrated that in patients with dry eye syndrome associated with Sjögren, abnormalities of the ocular surface and eye irritation related to air pollution are more severe than those in the control group. We believe that measuring air quality should be not only an integral part of the evaluation of ocular surface disease but also a therapeutic consideration.


RESUMO Objetivo: Avaliar o efeito da poluição do ar na superfície ocular de pacientes com síndrome de Sjögren. Métodos: Foram investigadas as superfícies oculares de trinta pacientes com síndrome de Sjögren e trinta voluntários saudáveis (grupo controle) residentes na Região Metropolitana de Buenos Aires. Usamos o dióxido de nitrogênio como um indicador de exposição à poluição do ar. Um questionário de sintomas oculares foi respondido por todos os indivíduos, que também foram submetidos a um exame oftalmológico completo da superfície ocular - incluindo um questionário do Índice da Doença da Superfície Ocular, biomicroscopia, tempo de ruptura do filme lacrimal, teste de Schirmer 1, coloração da córnea e conjuntiva com fluoresceína e lissamina verde, concentração de lisozima lacrimal e citologia de impressão. Resultados: Em quase todos os achados do teste de superfície ocular, encontramos uma correlação positiva e significativa entre níveis mais altos de exposição à poluição do ar e níveis mais elevados de danos na superfície ocular tanto no grupo controle quanto nos pacientes com síndrome de Sjögren. Em pacientes com síndrome de Sjögren, o questionário do Índice da Doença da Superfície Ocular, tempo de ruptura do filme lacrimal, coloração vital e citologia de impressão mostraram uma correlação significativa entre altos níveis de poluição do ar e doença da superfície ocular. No grupo controle, o questionário do Índice de Doenças da Superfície Ocular, tempo de ruptura do filme lacrimal e citologia de impressão mostraram uma correlação significativa entre altos níveis de poluição do ar e doença da superfície ocular. Conclusões: Aqui demonstramos que, pacientes com síndrome de olho seco associada a Sjögren, as anormalidades da superfície ocular e a irritação ocular relacionadas à poluição do ar são mais graves do que aquelas no grupo controle. Acreditamos que a medição da qualidade do ar não deve ser apenas uma parte integral da avaliação da doença da superfície ocular, mas também uma consideração terapêutica.


Subject(s)
Humans , Adult , Middle Aged , Aged , Young Adult , Sjogren's Syndrome/chemically induced , Environmental Pollution/adverse effects , Nitrogen Dioxide/adverse effects , Argentina , Tears/chemistry , Severity of Illness Index , Dry Eye Syndromes/complications , Muramidase/chemistry , Sjogren's Syndrome/complications , Surveys and Questionnaires , Conjunctiva/chemistry , Cornea/chemistry , Nitrogen Dioxide/analysis
14.
Ciênc. Saúde Colet. (Impr.) ; 23(8): 2515-2522, Aug. 2018. tab, graf
Article in English | LILACS | ID: biblio-952737

ABSTRACT

Abstract The effects of exposure to air pollutants on human health are mainly reflected in respiratory diseases in children and elderly ones. An ecological time series study was carried out in Ribeirão Preto/SP data to examine the role of exposure to air pollutants and hospital admissions due to respiratory diseases in children under 10 years old. The study period was between January, 2011 and December, 2013. Particulate Matter (PM10), Nitrogen dioxide (NO2), and ozone (O3), temperature and air relative humidity, were analyzed to estimate the association with hospital admissions using a generalized linear model of Poisson's regression with lags of zero up to seven days after exposure to pollutants, adjusted by the day of the week, seasonality and effective temperature. The significance level adopted was p < 0.05. NO2, when analyzed in single pollutant model shown to be significant at lag 2 and 3 and when analyzed in the multi-pollutant model it shown to be significant at lags 2 up to 5, and lag 7 with relative risk between 1.05 and 1.09 per 10 μg/m3 increase in NO2 concentration, with an excess of 150 hospital admission and substantial increase in costs to Public Health System. The data enable the local health managers can take action to minimize these effects.


Resumo Os efeitos da exposição aos poluentes do ar sobre a saúde humana são principalmente refletidos nas doenças respiratórias, em crianças e idosos. Este estudo, do tipo ecológico de séries temporais, foi realizado em Ribeirão Preto/SP para examinar o papel da exposição a poluentes do ar e internações hospitalares por doenças respiratórias em crianças de até 10 anos de idade. O período de estudo foi entre 01.01.2011 e 31.12.2013. Material partículado (PM10), dióxido de nitrogênio (NO2) e ozônio (O3), temperatura e umidade relativa do ar foram analisadas para estimar a associação com internações hospitalares usando um modelo linear generalizado da regressão de Poisson com defasagens de zero até sete dias após a exposição, ajustado pelo dia da semana, sazonalidade e temperatura efetiva. Foi adotado alfa = 0,05. NO2 quando analisado no modelo unipoluente mostrou significância nos lags 2 e 3 e quando avaliado no modelo multi-poluente foi significativo nos lags 2 até 5, e lag 7, com risco relativo entre 1,05 e 1,09 por 10 μg/m3 de aumento em sua concentração, com excesso de 150 internações e aumento substancial dos custos para o sistema de saúde pública. Os dados permitem que o gestor local de saúde possa tomar medidas para minimizar estes efeitos.


Subject(s)
Humans , Male , Female , Infant, Newborn , Infant , Child, Preschool , Child , Respiratory Tract Diseases/epidemiology , Environmental Exposure/adverse effects , Hospitalization/statistics & numerical data , Nitrogen Dioxide/analysis , Ozone/analysis , Ozone/adverse effects , Respiratory Tract Diseases/etiology , Temperature , Brazil , Linear Models , Poisson Distribution , Air Pollutants/analysis , Air Pollutants/adverse effects , Air Pollution/analysis , Air Pollution/adverse effects , Environmental Exposure/analysis , Particulate Matter , Nitrogen Dioxide/adverse effects
15.
Rev. paul. pediatr ; 36(1): 10-16, jan.-mar. 2018. tab, graf
Article in Portuguese | LILACS | ID: biblio-902887

ABSTRACT

RESUMO Objetivo: Construir um modelo computacional fuzzy para estimar o número de internações de crianças até 10 anos por doenças respiratórias, com base nos dados de poluentes e fatores climáticos da cidade de São José do Rio Preto, Brasil. Métodos: Foi construído modelo computacional utilizando a lógica fuzzy. O modelo tem 4 entradas, cada uma com 2 funções de pertinência gerando 16 regras, e a saída com 5 funções de pertinência, baseado no método de Mamdani, para estimar a associação entre os poluentes e o número de internações. Os dados de internações, de 2011-2013, foram obtidos no Departamento de Informática do Sistema de Saúde (DATASUS) e os poluentes material particulado (PM10) e dióxido de nitrogênio (NO2), a velocidade do vento e a temperatura foram obtidos pela Companhia Ambiental do Estado de São Paulo (Cetesb). Resultados: Foram internadas 1.161 crianças no período analisado, e a média dos poluentes foi 36 e 51 µg/m3 - PM10 e NO2, respectivamente. Os melhores valores da correlação de Pearson (0,34) e da acurácia avaliada pela curva Receiver Operating Characteristic - ROC (NO2 - 96,7% e PM10 - 90,4%) foram para internações no mesmo dia da exposição. Conclusões: O modelo mostrou-se eficaz na predição do número de internações de crianças, podendo ser utilizado como ferramenta na gestão hospitalar da região estudada.


ABSTRACT Objective: To build a fuzzy computational model to estimate the number of hospitalizations of children aged up to 10 years due to respiratory conditions based on pollutants and climatic factors in the city of São José do Rio Preto, Brazil. Methods: A computational model was constructed using the fuzzy logic. The model has 4 inputs, each with 2 membership functions generating 16 rules, and the output with 5 pertinence functions, based on the Mamdani's method, to estimate the association between the pollutants and the number of hospitalizations. Data from hospitalizations, from 2011-2013, were obtained in DATASUS - and the pollutants Particulate Matter (PM10) and Nitrogen Dioxide (NO2), wind speed and temperature were obtained by the Environmental Company of São Paulo State (Cetesb). Results: A total of 1,161 children were hospitalized in the period and the mean of pollutants was 36 and 51 µg/m3 - PM10 and NO2, respectively. The best values of the Pearson correlation (0.34) and accuracy measured by the Receiver Operating Characteristic (ROC) curve (NO2 - 96.7% and PM10 - 90.4%) were for hospitalizations on the same day of exposure. Conclusions: The model was effective in predicting the number of hospitalizations of children and could be used as a tool in the hospital management of the studied region.


Subject(s)
Humans , Child, Preschool , Child , Respiratory Tract Diseases/etiology , Computer Simulation , Fuzzy Logic , Air Pollution/adverse effects , Hospitalization/statistics & numerical data , Respiratory Tract Diseases/epidemiology , Brazil
16.
Journal of Preventive Medicine and Public Health ; : 265-274, 2018.
Article in English | WPRIM | ID: wpr-718260

ABSTRACT

OBJECTIVES: A positive association between air pollution and both the incidence and prevalence of diabetes mellitus (DM) has been reported in some epidemiologic and animal studies, but little research has evaluated the relationship between air pollution and diabetic coma. Diabetic coma is an acute complication of DM caused by diabetic ketoacidosis or hyperosmolar hyperglycemic state, which is characterized by extreme hyperglycemia accompanied by coma. We conducted a time-series study with a generalized additive model using a distributed-lag non-linear model to assess the association between ambient air pollution (particulate matter less than 10 μm in aerodynamic diameter, nitrogen dioxide [NO2], sulfur dioxide, carbon monoxide, and ozone) and emergency department (ED) visits for DM with coma in Seoul, Korea from 2005 to 2009. METHODS: The ED data and medical records from the 3 years previous to each diabetic coma event were obtained from the Health Insurance Review and Assessment Service to examine the relationship with air pollutants. RESULTS: Overall, the adjusted relative risks (RRs) for an interquartile range (IQR) increment of NO2 was statistically significant at lag 1 (RR, 1.125; 95% confidence interval [CI], 1.039 to 1.219) in a single-lag model and both lag 0-1 (RR, 1.120; 95% CI, 1.028 to 1.219) and lag 0-3 (RR, 1.092; 95% CI, 1.005 to 1.186) in a cumulative-lag model. In a subgroup analysis, significant positive RRs were found for females for per-IQR increments of NO2 at cumulative lag 0-3 (RR, 1.149; 95% CI, 1.022 to 1.291). CONCLUSIONS: The results of our study suggest that ambient air pollution, specifically NO2, is associated with ED visits for diabetic coma.


Subject(s)
Animals , Female , Humans , Air Pollutants , Air Pollution , Carbon Monoxide , Coma , Diabetes Mellitus , Diabetic Coma , Diabetic Ketoacidosis , Emergencies , Emergency Service, Hospital , Hyperglycemia , Hyperglycemic Hyperosmolar Nonketotic Coma , Incidence , Insurance, Health , Korea , Medical Records , Nitrogen Dioxide , Nonlinear Dynamics , Prevalence , Seoul , Sulfur Dioxide
17.
Journal of Preventive Medicine and Public Health ; : 130-139, 2018.
Article in English | WPRIM | ID: wpr-714769

ABSTRACT

OBJECTIVES: Air pollution is a growing concern in Korea because of transboundary air pollution from mainland China. A panel study was conducted to clarify the effects of air pollution on respiratory symptoms and health-related quality of life (HR-QoL) in outpatients with and without chronic obstructive pulmonary disease (COPD) in Korea. METHODS: Patients filled out a questionnaire including self-reported HR-QoL in February and were followed up in May and July. The study was conducted from 2013 to 2015, with different participants each year. Air quality parameters were applied in a generalized estimating equation as independent variables to predict factors affecting HR-QoL. RESULTS: Lower physical fitness scores were associated with Asian sand dust events. Daily activity scores were worse when there were high concentrations of particulate matter (PM) less than 10 μm in diameter (PM10). Lower social functioning scores were associated with high PM less than 2.5 μm in diameter and nitrogen dioxide (NO2) concentrations. High NO2 concentrations also showed a significant association with mental health scores. Weather-related cough was prevalent when PM10, NO2, or ozone (O3) concentrations were high, regardless of COPD severity. High PM10 concentrations were associated with worsened wheezing, particularly in COPD patients. CONCLUSIONS: The results suggest that PM, NO2, and O3 cause respiratory symptoms leading to HR-QoL deterioration. While some adverse effects of air pollution appeared to occur regardless of COPD, others occurred more often and more intensely in COPD patients. The public sector, therefore, needs to consider tailoring air pollution countermeasures to people with different conditions to minimize adverse health effects.


Subject(s)
Humans , Air Pollution , Asian People , China , Cough , Dust , Korea , Mental Health , Nitrogen Dioxide , Outpatients , Ozone , Particulate Matter , Physical Fitness , Public Sector , Pulmonary Disease, Chronic Obstructive , Quality of Life , Respiratory Sounds
18.
Eng. sanit. ambient ; 22(4): 679-690, jul.-ago. 2017. tab, graf
Article in Portuguese | LILACS | ID: biblio-891572

ABSTRACT

RESUMO Este trabalho objetivou verificar as inter-relações entre as concentrações de ozônio (O3) e de dióxido de nitrogênio (NO2) na região da Grande Vitória (RGV), Espírito Santo, Brasil. Adotou-se a metodologia vetorial autorregressiva (VAR) e o teste de causalidade de Granger. O modelo VAR captura as interdependências lineares entre várias séries temporais, sendo que cada variável possui uma equação estimada que representa sua evolução em termos de suas próprias defasagens e das defasagens das outras variáveis. Já o teste de causalidade de Granger baseia-se em um sistema de equações bivariado para verificar se uma variável é capaz de prever a outra. Os resultados revelaram que as concentrações de O3 e de NO2 da Região (estação) de Laranjeiras foram as menos afetadas por concentrações de outras estações. Devido à localização, as concentrações de O3 e NO2 da Enseadá do Suá tiveram significativa influência de outras regiões, especialmente de Jardim Camburi, Ibes e Vitória - Centro. A concentração de ozônio na região do Ibes foi fortemente influenciada pelas concentrações de O3 e de NO2 da Enseada do Suá. Além disso, as concentrações de Cariacica sofreram impactos relevantes das concentrações da Enseada do Suá, provavelmente, devido à direção do vento Norte/Nordeste, predominante na RGV.


ABSTRACT The objective of this paper was to determine the interrelationships between the ozone (O3) and nitrogen dioxide (NO2) concentrations, in the Grande Vitória Region (RGV), Espírito Santo, Brazil, using the methodology VAR and the Granger causality test. The VAR model captures the linear interdependencies between multiple time series. In this context, each variable has an estimated equation that represents its evolution in terms of its own lags and the lags of other variables. Granger causality test is based on a system of bivariate equations to check whether a variable is able to forecast the other. The results showed that the O3 and NO2 concentrations at Laranjeiras station were less affected by concentrations of other stations. The concentrations of Enseada do Suá were significantly affected by other regions, especially Jardim Camburi, IBES and Vitória - Centro. The Ibes ozone concentrations were strongly influenced by the O3 and NO2 concentrations from Enseada do Suá. Furthermore, the O3 and NO2 concentrations of Cariacica had significant impacts of concentrations of the Enseada do Suá, probably due to the prevailing North/Northeast wind direction in the RGV.

19.
Chinese Journal of Preventive Medicine ; (12): 527-532, 2017.
Article in Chinese | WPRIM | ID: wpr-808934

ABSTRACT

Objectives@#To investigate the effect of short-term exposure to ambient NO2 has influence on lung function and fractional exhaled nitric oxide (FeNO) in chronic obstructive pulmonary disease (COPD) patients.@*Methods@#A panel of doctor-diagnosed stable COPD patients (n=33) were recruited and repeatedly measured for lung function and FeNO from December 2013 to October 2014. The patients who lived in Beijing for more than one year and aged between 60 and 85 years old were included in the study. We excluded patients with asthma, bronchial tensor, lung cancer and other respiratory disorders other than chronic obstructive pulmonary disease and occupational exposure and chest trauma surgery patients. Because the frequency of each subject visiting to the hospital was different, a total of 170 times of lung function measurements and 215 times of FeNO measurements were conducted. At the same time, the atmospheric NO2 data of Beijing environmental monitoring station near the residence of each patient during the study period were collected from 1 day to 7 days lag before the measurement. Effects of short-term NO2 exposure on lung function and FeNO in COPD patients were estimated by linear mixed-effects models.@*Results@#The subjects' forced vital capacity (FVC), forced expiratory volume in one second (FEV1), peak expiratory flow (PEF), and exhaled NO of subjects were (3.26±0.83) L, (1.66±0.61) L, (4.13±1.77) L/s, and (48.99±14.30) μg/m3, respectively. The concentration of NO2 was (70.3±34.2) μg/m3 and the interquartile range (IQR) was 39.0 μg/m3. Short-term exposure to NO2 resulted in a significant decrease in FVC among COPD patients' which was most obvious in 2 days lag. Every quartile range increased in NO2 (39 μg/m3, 2 day) would cause a 1.84% (95%CI: -3.20%- -0.48%) reduction in FVC. The effects of exposure to higher concentration of NO2 (≥58.0 μg/m3) on FVC estimate was -2.32% (95%CI: -4.15%- -0.48%)(P=0.02). No significant relevance of FeNO and NO2 was observed in this study.@*Conclusions@#Short term exposure to ambient NO2 may bring down pulmonary function in COPD patients.

20.
Rev. saúde pública ; 51: 13, 2017. tab, graf
Article in English | LILACS | ID: biblio-845896

ABSTRACT

ABSTRACT OBJECTIVE To evaluate the effects of acute exposure to air pollutants (NO2 and PM10) on hospitalization of adults and older people with cardiovascular diseases in Western São Paulo. METHODS Daily cardiovascular-related hospitalization data (CID10 – I00 to I99) were acquired by the Department of Informatics of the Brazilian Unified Health System (DATASUS) from January 2009 to December 2012. Daily levels of NO2 and PM10 and weather data were obtained from Companhia Ambiental do Estado de São Paulo (CETESB – São Paulo State Environmental Agency). To estimate the effects of air pollutants exposure on hospital admissions, generalized linear Poisson regression models were used. RESULTS During the study period, 6,363 hospitalizations were analysed. On the day of NO2 exposure, an increase of 1.12% (95%CI 0.05–2.20) was observed in the interquartile range along with an increase in hospital admissions. For PM10, a pattern of similar effect was observed; however, results were not statistically significant. CONCLUSIONS Even though with values within established limits, NO2 is an important short-term risk factor for cardiovascular morbidity.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Young Adult , Air Pollutants/toxicity , Air Pollution/adverse effects , Cardiovascular Diseases/etiology , Hospitalization/statistics & numerical data , Incineration , Inhalation Exposure/adverse effects , Saccharum , Brazil , Cardiovascular System/drug effects , Nitrogen Dioxide/analysis , Nitrogen Dioxide/toxicity , Particulate Matter/analysis , Particulate Matter/toxicity , Risk Assessment , Risk Factors , Seasons , Time Factors
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