The impact of long- and short-term exposure to different ambient air pollutants on cognitive function in China

Abstract There is growing evidence that air pollution plays a role in TB, but few studies have comprehensively included the six common air pollutants. Our objectives were to investigate the association between short-term exposure to six common air pollutants and the risk of tuberculosis outpatient visits in Fuyang, China, during the period 2015-2020. We combined the two models to explore the effects of exposure to six air pollutants on the risk of tuberculosis outpatient visits, including Poisson generalized linear regression model and distributed lag non-linear model (DLNM). We performed stratified analyses for season, gender and age. We used the lag-specific relative risks and cumulative relative risk obtained by increasing pollutant concentration by per 10 units to evaluate the connection between six air pollutants and TB, PM2.5 (RR=1.0018, 95%CI: 1.0004-1.0032, delay of 12 days) and (RR=1.0169,95%CI: 1.0007-1.0333, lag 0-16 days), SO2 were 0.9549 (95%CI: 0.9389-0.9712, lag 0 days) and 0.8212 (95%CI: 0.7351-0.9173, 0-20 days lag). Stratified analyses showed that seasonal differences had a greater impact on TB, and male more likely to develop TB than female, older people more likely to develop TB than younger people. Exposure to O3, CO, PM10, PM2.5, and NO2 increases the risk of TB outpatient visits, except SO2 reduces the risk. Male and elderly people should be protected. We need to pay more attention to the impact of seasonal effects on TB.

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Association between short-term exposure to ambient air pollutants and the risk of tuberculosis outpatient visits: A time-series study in Hefei, China

Environmental Research ◽

10.1016/j.envres.2020.109343 ◽

2020 ◽

Vol 184 ◽

pp. 109343 ◽

Cited By ~ 1

Author(s):

Kai Huang ◽

Kun Ding ◽

Xiao-Jing Yang ◽

Cheng-Yang Hu ◽

Wen Jiang ◽

...

Keyword(s):

Time Series ◽

Air Pollutants ◽

Ambient Air ◽

Short Term ◽

Time Series Study ◽

Ambient Air Pollutants ◽

Outpatient Visits ◽

Short Term Exposure ◽

Series Study

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Association of short-term exposure to ambient air pollutants with exhaled nitric oxide in hospitalized patients with respiratory-system diseases

Ecotoxicology and Environmental Safety ◽

10.1016/j.ecoenv.2018.10.094 ◽

2019 ◽

Vol 168 ◽

pp. 394-400 ◽

Cited By ~ 4

Author(s):

Huibin Guo ◽

Wenlan Yang ◽

Li Jiang ◽

Yan Lyu ◽

Tiantao Cheng ◽

...

Keyword(s):

Nitric Oxide ◽

Respiratory System ◽

Air Pollutants ◽

Ambient Air ◽

Exhaled Nitric Oxide ◽

Hospitalized Patients ◽

Short Term ◽

Ambient Air Pollutants ◽

Short Term Exposure

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Years of Life Lost (YLL) Due to Short-Term Exposure to Ambient Air Pollution in China: A Systematic Review and Meta-Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182111467 ◽

2021 ◽

Vol 18 (21) ◽

pp. 11467

Author(s):

Yang Ni ◽

Wang Song ◽

Yu Bai ◽

Tao Liu ◽

Guoxing Li ◽

...

Keyword(s):

Air Pollution ◽

Air Pollutants ◽

Meta Analysis ◽

Ambient Air ◽

Ambient Air Pollution ◽

Years Of Life Lost ◽

Short Term ◽

Ambient Air Pollutants ◽

Short Term Exposure ◽

Disease Specific

(1) Background: Years of life lost (YLL) as a surrogate of health is important for supporting ambient air pollution related policy decisions. However, there has been little comprehensive evaluation of the short-term impact of air pollution on cause-specific YLL, especially in China. Hence in this study, we selected China as sentinel region in order to conduct a meta-analysis to evaluate disease-specific YLL due to all the main ambient air pollutants. (2) Methods: A meta-analysis was conducted to evaluate disease-specific YLL due to the main ambient air pollutants in China, and 19 studies were included. We conducted methodological quality and risk of bias assessment for each included study as well as for heterogeneity and publication bias. Subgroup analysis and sensitivity analysis were also performed. (3) Results: Meta-analysis indicated that increases in PM2.5, PM10, SO2 and NO2 were associated with 1.99–5.84 years increase in YLL from non-accidental diseases. The increase in YLL to cardiovascular disease (CVD) was associated with PM10 and NO2, and the increase in YLL to respiratory diseases (RD) was associated with PM10. (4) Conclusions: Ambient air pollution was observed to be associated with several cause-specific YLL, increasing especially for elderly people and females.

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The Impact of Short-Term Exposure to Air Pollution on the Exhaled Breath of Healthy Adults

Sensors ◽

10.3390/s21072518 ◽

2021 ◽

Vol 21 (7) ◽

pp. 2518

Author(s):

Ariana Lammers ◽

Anne H. Neerincx ◽

Susanne J. H. Vijverberg ◽

Cristina Longo ◽

Nicole A. H. Janssen ◽

...

Keyword(s):

Air Pollution ◽

Ambient Air ◽

Healthy Adults ◽

Partial Least Square ◽

Exhaled Breath ◽

Short Term ◽

Post Exposure ◽

Short Term Exposure ◽

Validation Set ◽

The Impact

Environmental factors, such as air pollution, can affect the composition of exhaled breath, and should be well understood before biomarkers in exhaled breath can be used in clinical practice. Our objective was to investigate whether short-term exposures to air pollution can be detected in the exhaled breath profile of healthy adults. In this study, 20 healthy young adults were exposed 2–4 times to the ambient air near a major airport and two highways. Before and after each 5 h exposure, exhaled breath was analyzed using an electronic nose (eNose) consisting of seven different cross-reactive metal-oxide sensors. The discrimination between pre and post-exposure was investigated with multilevel partial least square discriminant analysis (PLSDA), followed by linear discriminant and receiver operating characteristic (ROC) analysis, for all data (71 visits), and for a training (51 visits) and validation set (20 visits). Using all eNose measurements and the training set, discrimination between pre and post-exposure resulted in an area under the ROC curve of 0.83 (95% CI = 0.76–0.89) and 0.84 (95% CI = 0.75–0.92), whereas it decreased to 0.66 (95% CI = 0.48–0.84) in the validation set. Short-term exposure to high levels of air pollution potentially influences the exhaled breath profiles of healthy adults, however, the effects may be minimal for regular daily exposures.

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Effect of Short-Term Exposure to Fine Particulate Matter and Temperature on Acute Myocardial Infarction in Korea

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094822 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4822

Author(s):

Jiyoung Shin ◽

Jongmin Oh ◽

In Sook Kang ◽

Eunhee Ha ◽

Wook Bum Pyun

Keyword(s):

Myocardial Infarction ◽

Acute Myocardial Infarction ◽

Particulate Matter ◽

Fine Particulate Matter ◽

Ambient Air ◽

Cold Season ◽

Short Term ◽

Fine Particulate ◽

Short Term Exposure ◽

The Impact

Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). Methods: The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI. Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only. Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.

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Air pollution and hospital admissions and deaths due to respiratory infections in megacity of Tehran: A time series analysis

Journal of Air Pollution and Health ◽

10.18502/japh.v6i1.7601 ◽

2021 ◽

Author(s):

Zahra Namvar ◽

Mostafa Hadei ◽

Seyed Saeed Hashemi ◽

Elahe Shahhosseini ◽

Philip K. Hopke ◽

...

Keyword(s):

Air Pollution ◽

Air Pollutants ◽

Hospital Admissions ◽

Respiratory Infections ◽

Positive Association ◽

Ambient Air ◽

Age Group ◽

Distributed Lag ◽

Ambient Air Pollutants ◽

Short Term Exposure

Introduction: Air pollution is one of the main causes for the significant increase of respiratory infections in Tehran. In the present study, we investigated the associations between short-term exposure to ambient air pollutants with the hospital admissions and deaths. Materials and methods: Health data from 39915 hospital admissions and 2459 registered deaths associated with these hospital admissions for respiratory infections were obtained from the Ministry of Health and Medical Education during 2014-2017. We used the distributed lag non-linear model (DLNM) for the analyses. Results: There was a statistically positive association between PM2.5 and AURI in the age group of 16 years and younger at lags 6 (RR 1.31; 1.05-1.64) and 7 (RR 1.50; 1.09-2.06). AURI admissions was associated with O3 in the age group of 16 and 65 years at lag 7 with RR 1.13 (1.00-1.27). ALRI admissions was associated with CO in the age group of 65 years and older at lag 0 with RR 1.12 (1.02-1.23). PM10 was associated with ALRI daily hospital admissions at lag 0 for males. ALRI admissions were associated with NO2 for females at lag 0. There was a positive association between ALRI deaths and SO2 in the age group of 65 years and older at lags 4 and 5 with RR 1.04 (1.00-1.09) and 1.03 (1.00-1.07), respectively. Conclusion: Exposure to outdoor air pollutants including PM10, PM2.5, SO2, NO2, O3, and CO was associated with hospital admissions for AURI and ALRI at different lags. Moreover, exposure to SO2 was associated with deaths for ALRI.

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