Methodology for defining the effects of outdoor air pollution on children's health at the population level : a systematic review
ID Galičič, An (Author), ID Zaletel-Kragelj, Lijana (Author), ID Božnar, Marija (Author), ID Grašič, Boštjan (Author), ID Mlakar, Primož (Author), ID Kukec, Andreja (Author)

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Outdoor air pollution is an important determinant of health. Children are one of the most sensitive population groups due to their yet underdeveloped respiratory system. Methodology for linkage environmental and health data at population level had been initiated by the World Health Organization about twenty years ago. The aim of our study is an overview of methods with which the effects of outdoor air pollution on children's health have been investigated at the population level. Literature overview was made systematically. Health effects of outdoor air pollution at the population level were firstly investigated after 1990. Simultaneously with the most common outdoor air pollutants (NO2, SO2, O3, PM10 and CO) monitoring of health effects was measured. Poisson regression analysis was the most frequently used method of ecological timeseries studies and spatial studies. Exposure misclassification was in this research field the most common limitation of ecological studies. This study supports the need of future research on outdoor air pollution's effects on the at population level from an engineering and public health view.

Keywords:outdoor air pollution, children health, time-series study, spatial study, methodology
Typology:1.01 - Original Scientific Article
Organization:ZF - Faculty of Health Sciences
Number of pages:Str. 35-49
Numbering:Vol. 9, no. 1
PID:20.500.12556/RUL-112986 This link opens in a new window
ISSN on article:1854-0678
COBISS.SI-ID:32486105 This link opens in a new window
Publication date in RUL:27.11.2019
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Title:Sanitarno inženirstvo
Publisher:Inštitut za sanitarno inženirstvo
COBISS.SI-ID:216969216 This link opens in a new window


License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:27.11.2019

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