scholarly journals The Effects of Short-term Pm 2.5 Exposure on Pulmonary Function Among Children With Asthma——A Panel Study in Shanghai, China

2022 ◽  
Author(s):  
Ji Zhou ◽  
Ruoyi Lei ◽  
Jianming Xu ◽  
Peng Li ◽  
Xiaofang Ye ◽  
...  
Keyword(s):  
Risk Factor ◽  
Lung Function ◽  
Panel Study ◽  
Maximum Effect ◽  
Short Term ◽  
Mixed Effect ◽  
Short Term Exposure ◽  
Children With Asthma ◽  
Hot Season ◽  
The Relationship

Abstract BackgroundFine particulate matter with aerodynamic diameter ≤ 2.5 mm (PM2.5) has been reported to be an important risk factor for asthma. Our study was designed to evaluate the relationship between air PM2.5 and lung function among children with asthma in Shanghai, China. MethodsFrom 2016 to 2019, a total of 70 Chinese children aged 4 to 14 in Pudong, Shanghai were recruited for this panel study. Upon entry to the group, questionnaire was used to collect basic information, and the lung function covering forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1) and peak expiratory flow (PEF) were carried out for each child more than two times during follow-up. Meanwhile, the simultaneous daily air atmospheric pollutants and meteorological data were collected. The linear mixed effect (LME) model was used to assess the relationship between air pollutants and lung function adjusting other covariates like sex, age, season and so on. ResultsA significantly negative association was found between PM2.5 level and lung function in children with asthma. In the single-pollutant model, the largest effect of PM2.5 on lung function were found on lag 0-2, FVC and FEV1 decreased by 0.91% [95% confidence interval (CI): -1.75, -0.07] and 1.05% (95% CI: -2.09, 0.00) for every 10 mg/m3 increase of PM2.5. In the multi-pollution model (adjusted PM2.5+SO2+O3), the maximum effect of PM2.5 on FVC and FEV1 also appeared on lag 0-2, FVC and FEV1 decreased by 1.57% (95% CI: -2.69, -0.44) and 1.67% (95% CI: -3.05, -0.26) for every 10 mg/m3 increase of PM2.5, respectively. In the subgroup analysis, boys, children and hot season more were sensitive. ConclusionThe short-term exposure of ambient PM2.5 is a risk factor for the lung function of children with asthma, particularly in boys, preschoolers (<6 years old) and in the hot season.

Association between lung function of school age children and short-term exposure to air pollution and pollen: the PARIS cohort

Thorax ◽  
2021 ◽  
pp. thoraxjnl-2020-215515
Author(s):  
Hélène Amazouz ◽  
Nicolas Bougas ◽  
Michel Thibaudon ◽  
Guillaume Lezmi ◽  
Nicole Beydon ◽  
...  
Keyword(s):  
Air Pollution ◽  
Lung Function ◽  
School Age Children ◽  
School Age ◽  
Short Term ◽  
Short Term Exposure ◽  
Air Pollution Exposure ◽  
Total Pollen ◽  
Pollution Exposure ◽  
Cluster 2

BackgroundDaily levels of ambient air pollution and pollen may affect lung function but have rarely been studied together. We investigated short-term exposure to pollen and air pollution in relation to lung function in school-age children from a French population-based birth cohort.MethodsThis study included 1063 children from the PARIS (Pollution and Asthma Risk: an Infant Study) cohort whose lung function and FeNO measurements were performed at age 8 years old. Exposure data were collected up to 4 days before testing. We estimated daily total pollen concentration, daily allergenic risk indices for nine pollen taxa, as well as daily concentrations of three air pollutants (particulate matter less than 10 µm (PM10), nitrogen dioxide (NO2), ozone (O3)). Children with similar pollen and air pollution exposure were grouped using multidimensional longitudinal cluster analysis. Associations between clusters of pollen and air pollution exposure and respiratory indices (FEV1, FVC, FeNO) were studied using multivariable linear and logistic regression models adjusted for potential confounders.ResultsFour clusters of exposure were identified: no pollen and low air pollution (Cluster 1), grass pollen (Cluster 2), PM10 (Cluster 3) and birch/plane-tree pollen with high total pollen count (Cluster 4). Compared with children in Cluster 1, children in Cluster 2 had significantly lower FEV1 and FVC levels, and children from Cluster 3 had higher FeNO levels. For FEV1 and FVC, the associations appeared stronger in children with current asthma. Additional analysis suggested a joint effect of grass pollen and air pollution on lung function.ConclusionDaily ambient chemical and biological air quality could adversely influence lung function in children.

Investigating the relationship between central nervous system biomarkers and short-term exposure to PM10-bound metals during dust storms

2020 ◽  
Vol 11 (11) ◽  
pp. 2022-2029 ◽  
Author(s):  
Ahmad Badeenezhad ◽  
Mohammad Ali Baghapour ◽  
Armin Sorooshian ◽  
Mojtaba Keshavarz ◽  
Abooalfazl Azhdarpoor ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Dust Storms ◽  
Short Term ◽  
Short Term Exposure ◽  
The Relationship

scholarly journals Is Short-Term Exposure to PM2.5 Relevant to Childhood Kawasaki Disease?

2021 ◽  
Vol 18 (3) ◽  
pp. 924
Author(s):  
Jongmin Oh ◽  
Ji Hyen Lee ◽  
Eunji Kim ◽  
Soontae Kim ◽  
Hae Soon Kim ◽  
...  
Keyword(s):  
Kawasaki Disease ◽  
Effect Size ◽  
Subgroup Analysis ◽  
Significant Relationship ◽  
Moving Average ◽  
Conditional Logistic Regression ◽  
Whole Body ◽  
Short Term ◽  
Short Term Exposure ◽  
The Relationship

Background: Kawasaki disease (KD) is an acute febrile vascular disease of unknown cause that affects the whole body. KD typically occurs in infants under the age of five and is found mainly in East Asian countries. Few studies have reported on the relationship between the pollutant PM2.5 and KD, and the evidence remains irrelevant or insufficient. Objectives: We investigated the relationship between short-term exposure to PM2.5 and KD hospitalizations using data from Ewha Womans University Mokdong Hospital, 2006 to 2016. Methods: We obtained data from the hospital EMR (electronic medical records) system. We evaluated the relationship between short-term exposure to PM2.5 and KD hospitalizations using a case-crossover design. We considered exposures to PM2.5 two weeks before the date of KD hospitalization. We analyzed the data using a conditional logistic regression adjusted for temperature and humidity. The effect size was calculated as a 10 μg/m3 increase in PM2.5 concentration. We performed a subgroup analysis by sex, season, age group, and region. In the two-pollutants model, we adjusted SO2, NO2, CO, and O3, but the effect size did not change. Results: A total of 771 KD cases were included in this study. We did not find any statistically significant relationship between PM2.5 and children’s KD hospitalization (two-day moving average: odds ratio (OR) = 1.01, 95% confidence intervals (CI) = 0.95, 1.06; seven-day moving average: OR = 0.98, CI = 0.91, 1.06; 14-day moving average: OR = 0.93, CI = 0.82, 1.05). A subgroup analysis and two pollutant analysis also found no significant results. Conclusion: We did not find a statistically significant relationship between PM2.5 and children’s KD hospitalizations. More research is needed to clarify the association between air pollution, including PM2.5, and KD.

scholarly journals Associations between changes in adipokines and exposure to fine and ultrafine particulate matter in ambient air in Beijing residents with and without pre-diabetes

2020 ◽  
Vol 8 (2) ◽  
pp. e001215
Author(s):  
Wu Chen ◽  
Yiqun Han ◽  
Yanwen Wang ◽  
Xi Chen ◽  
Xinghua Qiu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Particulate Matter ◽  
Ultrafine Particles ◽  
Metabolic Disorders ◽  
Moving Average ◽  
Panel Study ◽  
Ambient Air ◽  
Underlying Mechanism ◽  
Short Term ◽  
Short Term Exposure

ObjectiveExposure to particulate matter (PM) is a risk factor to diabetes, but the underlying mechanism is unclear. Adipokines play important roles in glucose metabolism. This study examined the associations between short-term exposure to ambient PM and adipokine levels and evaluated whether metabolic disorders could enhance susceptibility to PM-induced health effects.Research design and methodsIn a panel study (SCOPE, Study Comparing the Cardiometabolic and Respiratory Effects of Air Pollution Exposure on Healthy and Pre-diabetic Individuals) in Beijing, China, 60 pre-diabetic individuals and 60 healthy controls completed two to seven clinical visits. The associations between serum adiponectin, leptin, and resistin levels and the moving average (MA) mass concentration of PM2.5 and number concentrations of ultrafine particles (UFP) and accumulation-mode particles (AMP) during the 1–14 days prior to clinical visits, and the effects of metabolic disorders on any such associations, were evaluated using a linear mixed-effects model.ResultsShort-term exposure to ambient UFP and AMP was inversely associated with adipokine levels at 1–14 days prior to clinical visits. For example, each IQR increment in 1 day MA UFP exposure (6.0×103/cm3) was associated with −14.0% (95% CI −20.9%, −6.4%), −6.6% (95% CI −12.4%, −0.4%), and −8.5% (95% CI −14.5%, −2.2%) changes in adiponectin, leptin, and resistin levels, respectively. There was no significant association between adipokine levels and PM2.5 exposure. UFP and AMP exposure was associated with a greater decrease in adiponectin level and a weaker change in leptin level among participants with high insulin resistance levels. Glucose status did not modify PM-induced changes in adipokine levels.ConclusionHigh level of insulin resistance could aggravate the adverse metabolic impact of exposure to UFP and AMP.

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