Green space, air pollution, traffic noise and children’s health

10.33540/519 ◽  
2021 ◽  
Author(s):  
◽  
Lizan Denise Bloemsma
Keyword(s):  
Air Pollution ◽  
Green Space ◽  
Traffic Noise ◽  
Children's Health ◽  
Children’S Health

scholarly journals Green space, air pollution, traffic noise and cardiometabolic health in adolescents: The PIAMA birth cohort

2019 ◽  
Vol 131 ◽  
pp. 104991 ◽  
Author(s):  
Lizan D. Bloemsma ◽  
Ulrike Gehring ◽  
Jochem O. Klompmaker ◽  
Gerard Hoek ◽  
Nicole A.H. Janssen ◽  
...  
Keyword(s):  
Air Pollution ◽  
Birth Cohort ◽  
Green Space ◽  
Traffic Noise ◽  
Cardiometabolic Health

scholarly journals Green space, air pollution, traffic noise and saliva cortisol in children

2021 ◽  
Vol 5 (2) ◽  
pp. e141
Author(s):  
Lizan D. Bloemsma ◽  
Alet H. Wijga ◽  
Jochem O. Klompmaker ◽  
Gerard Hoek ◽  
Nicole A. H. Janssen ◽  
...  
Keyword(s):  
Air Pollution ◽  
Green Space ◽  
Traffic Noise ◽  
Saliva Cortisol

scholarly journals Satellite-Derived PM2.5 Composition and Its Differential Effect on Children’s Lung Function

2020 ◽  
Vol 12 (6) ◽  
pp. 1028 ◽  
Author(s):  
Khang Chau ◽  
Meredith Franklin ◽  
W. James Gauderman
Keyword(s):  
Air Pollution ◽  
Lung Function ◽  
Satellite Observations ◽  
Children's Health ◽  
Children’S Health ◽  
Health Study ◽  
Gradient Boosting ◽  
Chemical Components ◽  
Support Vector ◽  
Pm 2.5

Studies of the association between air pollution and children’s health typically rely on fixed-site monitors to determine exposures, which have spatial and temporal limitations. Satellite observations of aerosols provide the coverage that fixed-site monitors lack, enabling more refined exposure assessments. Using aerosol optical depth (AOD) data from the Multiangle Imaging SpectroRadiometer (MISR) instrument, we predicted fine particulate matter, PM 2.5 , and PM 2.5 speciation concentrations and linked them to the residential locations of 1206 children enrolled in the Southern California Children’s Health Study. We fitted mixed-effects models to examine the relationship between the MISR-derived exposure estimates and lung function, measured as forced expiratory volume in 1 second (FEV 1 ) and forced vital capacity (FVC), adjusting for study community and biological factors. Gradient Boosting and Support Vector Machines showed excellent predictive performance for PM 2.5 (test R 2 = 0.68 ) and its chemical components (test R 2 = –0.71). In single-pollutant models, FEV 1 decreased by 131 mL (95% CI: − 232 , − 35 ) per 10.7-µg/m 3 increase in PM 2.5 , by 158 mL (95% CI: − 273 , − 43 ) per 1.2-µg/m 3 in sulfates (SO 4 2 − ), and by 177 mL (95% CI: − 306 , − 56 ) per 1.6-µg/m 3 increase in dust; FVC decreased by 175 mL (95% CI: − 310 , − 29 ) per 1.2-µg/m 3 increase in SO 4 2 − and by 212 mL (95% CI: − 391 , − 28 ) per 2.5-µg/m 3 increase in nitrates (NO 3 − ). These results demonstrate that satellite observations can strengthen epidemiological studies investigating air pollution health effects by providing spatially and temporally resolved exposure estimates.

Air Pollution and Children’s Health in Chinese

2017 ◽  
pp. 153-180 ◽  
Author(s):  
Wei-Wei Lin ◽  
Zan-Xiong Chen ◽  
Min-Li Kong ◽  
Yan-Qi Xie ◽  
Xiao-Wen Zeng
Keyword(s):  
Air Pollution ◽  
Children's Health ◽  
Children’S Health

scholarly journals Congestion Pricing, Air Pollution, and Children’s Health

2019 ◽  
pp. 0218-9363R2
Author(s):  
Emilia Simeonova ◽  
Janet Currie ◽  
Peter Nilsson ◽  
Reed Walker
Keyword(s):  
Air Pollution ◽  
Congestion Pricing ◽  
Children's Health ◽  
Children’S Health
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