Evaluation of air quality by passive and active sampling in an urban city in Turkey: current status and spatial analysis of air pollution exposure

Research associating adverse health effects with air pollution exposure is robust. Public health authorities recognize the need to implement population health strategies that protect public health from air pollution exposure. The Air Quality Health Index (AQHI) is a public health initiative that is intended to protect the public's health from exposure to air pollution. The aim of this research was to identify and explain factors influencing AQHI adoption at the individual level and to establish intervention strategies. A cross-sectional survey with both quantitative and qualitative questions was administered in Hamilton, Ontario, Canada, during the months of June to October 2012. Logistic regression and the Health Belief Model are used to explore the data. Demographics (gender, age, education, and area of residence), knowledge/understanding, and individual risk perceptions (neighbourhood air effects on health) were found to be significant predictors of AQHI adoption. The perceived benefits of AQHI adoption included protection of health for self and those cared for via familial and (or) occupational duties, whereas the perceived barriers of AQHI adoption included lack of knowledge about where to check and lack of time required to check and follow AQHI health messages. Also, self-efficacy was uncovered as a factor influencing AQHI adoption. Accordingly, increases in AQHI adoption could be achieved via increasing AQHI knowledge among low socioeconomic status females, communicating the benefits of AQHI adoption to “at-risk” populations and implementing supports for males to follow AQHI health messages.

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Spatial analysis of annual air pollution exposure and mortality

The Science of The Total Environment ◽

10.1016/s0048-9697(03)00512-6 ◽

2003 ◽

Author(s):

A Scoggins

Keyword(s):

Air Pollution ◽

Spatial Analysis ◽

Air Pollution Exposure ◽

Pollution Exposure

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A GIS-Based Environmental Justice Analysis of Ambient Air Pollution: a Comparison between Urban and Rural Areas

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.610-613.3676 ◽

2012 ◽

Vol 610-613 ◽

pp. 3676-3679 ◽

Cited By ~ 1

Author(s):

Fen Peng ◽

Bin Zou

Keyword(s):

Air Pollution ◽

Spatial Analysis ◽

Rural Areas ◽

Ambient Air ◽

Ambient Air Pollution ◽

Socioeconomic Groups ◽

Loglinear Analysis ◽

Air Pollution Exposure ◽

Urban And Rural Areas ◽

Pollution Exposure

Using general loglinear analysis and GIS spatial analysis, we evaluated the socio-economic inequities in exposure to SO2 in the urban and rural areas at census scale. The results show that differences of exposure inequities among socioeconomic groups exist in the urban and rural areas. Further studies are needed to analyze the impacts of scales and statistical methods on the accuracy of air pollution exposure justice assessment.

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Impact of air pollution exposure during various periods of pregnancy on term birth weight: a large-sample, retrospective population-based cohort study

Environmental Science and Pollution Research ◽

10.1007/s11356-020-10705-3 ◽

2020 ◽

Vol 28 (3) ◽

pp. 3296-3306

Author(s):

Li Shang ◽

Liyan Huang ◽

Liren Yang ◽

Longtao Leng ◽

Cuifang Qi ◽

...

Keyword(s):

Air Pollution ◽

Birth Weight ◽

Air Quality ◽

Maternal Exposure ◽

Additive Models ◽

Term Birth ◽

Air Pollution Exposure ◽

Term Newborns ◽

Pollution Exposure ◽

Xi’An City

AbstractPrevious studies have suggested that maternal exposure to air pollution might affect term birth weight. However, the conclusions are controversial. Birth data of all term newborns born in Xi’an city of Shaanxi, China, from 2015 to 2018 and whose mother lived in Xi’an during pregnancy were selected form the Birth Registry Database. And the daily air quality data of Xi’an city was collected from Chinese Air Quality Online Monitoring and Analysis Platform. Generalized additive models (GAM) and 2-level binary logistic regression models were used to estimate the effects of air pollution exposure on term birth weight, the risk term low birth weight (TLBW), and macrosomia. Finally, 321521 term newborns were selected, including 4369(1.36%) TLBW infants and 24,960 (7.76%) macrosomia. The average pollution levels of PM2.5, PM10, and NO2 in Xi’an city from 2015 to 2018 were higher than national limits. During the whole pregnancy, maternal exposure to PM2.5, PM10, SO2, and CO all significantly reduced the term birth weight and increased the risk of TLBW. However, NO2 and O3 exposure have significantly increased the term birth weight, and O3 even increased the risk of macrosomia significantly. Those effects were also observed in the first and second trimesters of pregnancy. But during the third trimester, high level of air quality index (AQI) and maternal exposure to PM2.5, PM10, SO2, NO2, and CO increased the term birth weight and the risk of macrosomia, while O3 exposure was contrary to this effect. The findings suggested that prenatal exposure to air pollution might cause adverse impacts on term birth weight, and the effects varied with trimesters and pollutants, which provides further pieces of evidence for the adverse effects of air pollution exposure in heavy polluted-area on term birth weight.

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Monitoring air pollution effects on children for supporting public health policies (MAPEC_LIFE study)

European Journal of Public Health ◽

10.1093/eurpub/ckz187.131 ◽

2019 ◽

Vol 29 (Supplement_4) ◽

Author(s):

E Ceretti ◽

F Donato ◽

D Feretti ◽

A Carducci ◽

M Moretti ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Poisson Regression ◽

Air Pollutants ◽

Ambient Air ◽

Buccal Cells ◽

Early Effect ◽

Risk Increase ◽

Air Pollution Exposure ◽

Pollution Exposure

Abstract Background Children are at high risk of suffering health consequences of air pollution and childhood exposure can increase the risk of developing chronic diseases in adulthood. The MAPEC_LIFE project, funded by EU Life+ Programme (LIFE12 ENV/IT/000614), aimed to evaluate the association between air pollution exposure and biomarkers of early effect in children and to propose guidance for implementing environmental policies. Methods The study was carried out on 6-8-year-old children. Micronucleus (MN) frequency was investigated in buccal cells of children and its association with air pollution exposure was assessed applying multiple Poisson regression mixed models, including socio-demographic and lifestyle factors as confounders. We also dichotomize air pollutants concentration according to the EU Ambient Air Quality Directives and WHO Air Quality Guidelines in all Poisson regression models to assess their risk predictive capacity. Results The project involved 1149 children providing buccal cells in winter and spring. 2139 biological samples were included in the analysis (1093 collected in winter, 1046 in spring). The analysis of the association between MN frequency and air quality parameters found positive associations for PM10, PM2.5, benzene, SO2 and ozone. Considering EU Directives, an association was found between MN frequency and PM10 exposure higher than the annual limit value, with an increase of the risk of 17.9% (95%CIs: 0.6-38.1%). Considering WHO Guidelines, the exposures to levels of PM10, benzene and BaP higher than the annual limits were associated with MN frequency, with a risk increase of 22.5%, 27.8% and 59.8% (95%CIs: 3.9-44.3%, 3.8-57.3%, 21.0-111.1%), respectively. Conclusions The analyses conducted showed an association between MN frequency in buccal cells of children and levels of some air pollutants, even at concentration below EU and WHO thresholds, which hence seemed to be insufficient for protecting children from this type of damage. Key messages Air pollution exposure induced chromosomal damage in buccal cells of children, even at concentration below the law limits. Early biological damage detected might be predictive of the occurrence of future harmful effects in humans, at a population level.

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