scholarly journals Effect modification of perinatal exposure to air pollution and childhood asthma incidence

2018 ◽  
Vol 51 (3) ◽  
pp. 1701884 ◽  
Author(s):  
Éric Lavigne ◽  
Marc-André Bélair ◽  
Daniel Rodriguez Duque ◽  
Minh T. Do ◽  
David M. Stieb ◽  
...  
Keyword(s):  
Air Pollution ◽  
Childhood Asthma ◽  
Urban Areas ◽  
Low Birthweight ◽  
Cox Regression ◽  
Ambient Air ◽  
Potential Effect ◽  
Ambient Air Pollution ◽  
Perinatal Exposure ◽  
Asthma Incidence

Perinatal exposure to ambient air pollution has been associated with childhood asthma incidence; however, less is known regarding the potential effect modifiers in this association. We examined whether maternal and infant characteristics modified the association between perinatal exposure to air pollution and development of childhood asthma.761 172 births occurring between 2006 and 2012 were identified in the province of Ontario, Canada. Associations between exposure to ambient air pollutants and childhood asthma incidence (up to age 6 years) were estimated using Cox regression models.110 981 children with asthma were identified. In models adjusted for postnatal exposures, second-trimester exposures to particulate matter with a 50% cut-off aerodynamic diameter ≤2.5 μm (hazard ratio (HR) per interquartile range (IQR) increase 1.07, 95% CI 1.06–1.09) and nitrogen dioxide (HR per IQR increase 1.06, 95% CI 1.03–1.08) were associated with childhood asthma development. Enhanced impacts were found among children born to mothers with asthma, who smoked during pregnancy or lived in urban areas during pregnancy, males and children born preterm or of low birthweight.Prenatal exposure to air pollution may have a differential impact on the risk of asthma development, according to maternal and infant characteristics.

scholarly journals Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

2021 ◽  
Vol 13 (9) ◽  
pp. 4933
Author(s):  
Saimar Pervez ◽  
Ryuta Maruyama ◽  
Ayesha Riaz ◽  
Satoshi Nakai
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Urban Areas ◽  
Industrial Development ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Land Use Classification ◽  
Land Use Regression ◽  
Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

scholarly journals Long-term exposure to ambient air pollution and road traffic noise and asthma incidence in adults: The Danish Nurse cohort

2021 ◽  
Vol 152 ◽  
pp. 106464 ◽  
Author(s):  
Shuo Liu ◽  
Youn-Hee Lim ◽  
Marie Pedersen ◽  
Jeanette T. Jørgensen ◽  
Heresh Amini ◽  
...  
Keyword(s):  
Air Pollution ◽  
Road Traffic ◽  
Traffic Noise ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Road Traffic Noise ◽  
Asthma Incidence

Distribution of Ambient Air Pollution and Asthma Incidence by Race and Socioeconomic Status in a Birth Cohort

2014 ◽  
Vol 2014 (1) ◽  
pp. 2618
Author(s):  
Audrey Flak* ◽  
Lyndsey Darrow ◽  
John Pearce ◽  
Craig Hansen ◽  
Matthew Strickland
Keyword(s):  
Air Pollution ◽  
Socioeconomic Status ◽  
Birth Cohort ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Asthma Incidence

Effects of ambient air pollution on childhood asthma exacerbation in the Philadelphia metropolitan Region, 2011–2014

2021 ◽  
Vol 197 ◽  
pp. 110955
Author(s):  
Wanyu Huang ◽  
Leah H. Schinasi ◽  
Chén C. Kenyon ◽  
Kari Moore ◽  
Steven Melly ◽  
...  
Keyword(s):  
Air Pollution ◽  
Childhood Asthma ◽  
Asthma Exacerbation ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Metropolitan Region

scholarly journals Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence

2012 ◽  
Vol 120 (9) ◽  
pp. 1333-1339 ◽  
Author(s):  
H. Ross Anderson ◽  
Barbara K. Butland ◽  
Aaron van Donkelaar ◽  
Michael Brauer ◽  
David P. Strachan ◽  
...  
Keyword(s):  
Air Pollution ◽  
Childhood Asthma ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Asthma Prevalence

scholarly journals Ambient Air Pollution and Sudden Infant Death Syndrome in Korea: A Time-Stratified Case-Crossover Study

2019 ◽  
Vol 16 (18) ◽  
pp. 3273 ◽  
Author(s):  
Myung-Jae Hwang ◽  
Hae-Kwan Cheong ◽  
Jong-Hun Kim
Keyword(s):  
Air Pollution ◽  
Preterm Infants ◽  
Sudden Infant Death Syndrome ◽  
Low Birthweight ◽  
Ambient Air ◽  
Sudden Infant Death ◽  
Ambient Air Pollution ◽  
Sudden Infant ◽  
A Value ◽  
Case Crossover

Sudden infant death syndrome (SIDS) is an occasional cause of unexpected mortality in infancy. While various etiological factors have been hypothesized, air pollution has been consistently presented as an environmental factor. In this study, we aimed to estimate the risk of SIDS in relation to exposure to air pollution and the effects of its modifying factors. A mortality dataset with supplementary infant mortality survey data from Statistics Korea was used and combined the concentration of ambient air pollution data from AirKorea based on the date of death and residential addresses of the SIDS cases. Odds ratios (ORs) were estimated according to birthweight, gestational age, maternal age, and infant age using a time-stratified case-crossover study design. The risk of exposure to particulate matter of less than 10 μm in diameter (PM10), nitrogen dioxide (NO2), carbon monoxide (CO), and sulfur dioxide was estimated. The number of deaths due to SIDS was 454 (253 males and 201 females). The OR per 27.8 µg/m3 increment of PM10 was 1.14 (95% confidence interval [CI]: 1.03–1.25) and that per 215.8 ppb of CO was 1.20 (95% CI: 1.03–1.40) in all infants. In females, an increase in NO2 and CO levels was associated with a higher risk of SIDS in low-birthweight and preterm infants. The OR per 15.7 ppb increment in NO2 was highest among preterm infants, with a value of 5.12 (95% CI: 1.27–20.63), and low-birthweight individuals, with a value of 4.11 (95% CI: 1.74–9.72), at a moving average of 0 to 3 days. In males, however, no significant association was found. In the present study, exposure to air pollution was associated with an increased risk of SIDS. This association was more evident in susceptible infants with a low-birthweight or in cases of preterm birth.

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